WorldWideScience

Sample records for google earth kmz-datei

  1. Google Earth Science

    Science.gov (United States)

    Baird, William H.; Padgett, Clifford W.; Secrest, Jeffery A.

    2015-01-01

    Google Earth has made a wealth of aerial imagery available online at no cost to users. We examine some of the potential uses of that data in illustrating basic physics and astronomy, such as finding the local magnetic declination, using landmarks such as the Washington Monument and Luxor Obelisk as gnomons, and showing how airport runways get…

  2. Intro to Google Maps and Google Earth

    Directory of Open Access Journals (Sweden)

    Jim Clifford

    2013-12-01

    Full Text Available Google My Maps and Google Earth provide an easy way to start creating digital maps. With a Google Account you can create and edit personal maps by clicking on My Places. In My Maps you can choose between several different base maps (including the standard satellite, terrain, or standard maps and add points, lines and polygons. It is also possible to import data from a spreadsheet, if you have columns with geographical information (i.e. longitudes and latitudes or place names. This automates a formerly complex task known as geocoding. Not only is this one of the easiest ways to begin plotting your historical data on a map, but it also has the power of Google’s search engine. As you read about unfamiliar places in historical documents, journal articles or books, you can search for them using Google Maps. It is then possible to mark numerous locations and explore how they relate to each other geographically. Your personal maps are saved by Google (in their cloud, meaning you can access them from any computer with an internet connection. You can keep them private or embed them in your website or blog. Finally, you can export your points, lines, and polygons as KML files and open them in Google Earth or Quantum GIS.

  3. Teaching Waves with Google Earth

    Science.gov (United States)

    Logiurato, Fabrizio

    2012-01-01

    Google Earth is a huge source of interesting illustrations of various natural phenomena. It can represent a valuable tool for science education, not only for teaching geography and geology, but also physics. Here we suggest that Google Earth can be used for introducing in an attractive way the physics of waves. (Contains 9 figures.)

  4. Google Earth Grand Tour Themes

    Science.gov (United States)

    De Paor, D. G.; Whitmeyer, S. J.; Bentley, C.; Dordevic, M. M.

    2014-12-01

    As part of an NSF TUES Type 3 project entitled "Google Earth for Onsite and Distance Education (GEODE)," we are assembling a "Grand Tour" of locations on Earth and other terrestrial bodies that every geoscience student should know about and visit at least in virtual reality. Based on feedback from colleagues at previous meetings, we have identified nine Grand Tour themes: "Plates and Plumes," "Rocks and Regions," "Geology Through Time," "The Mapping Challenge*," "U.S. National Parks*," "The Magical Mystery Tour*," "Resources and Hazards," "Planets and Moons," and "Top of the Pops." Themes marked with an asterisk are most developed at this stage and will be demonstrated in real time. The Mapping Challenge invites students to trace geological contacts, measure bedding strike and dip and the plunge, trend, and facing of a fold. There is an advanced tool for modeling periclinal folds. The challenge is presented in a game-like format with an emphasis on puzzle-solving that will appeal to students regardless of gender. For the tour of U.S. national parks, we divided the most geologically important parks into four groups—Western Pacific, West Coast, Rockies, and East Coast. We are combining our own team's GigaPan imagery with imagery already available on the Internet. There is a great deal of imagery just waiting to be annotated for geological education purposes. The Magical Mystery Tour takes students to Google Streetview locations selected by instructors. Students are presented with questions or tasks and are given automatic feedback. Other themes are under development. Within each theme, we are crowd-sourcing contributions from colleagues and inviting colleagues to vote for or against proposed locations and student interactions. The GEODE team includes the authors and: Heather Almquist, Stephen Burgin, Cinzia Cervato, Gene Cooper, Paul Karabinos, Terry Pavlis, Jen Piatek, Bill Richards, Jeff Ryan, Ron Schott, Kristen St. John, and Barb Tewksbury.

  5. Google Earth: A Virtual Globe for Elementary Geography

    Science.gov (United States)

    Britt, Judy; LaFontaine, Gus

    2009-01-01

    Originally called Earth Viewer in 2004, Google Earth was the first virtual globe easily available to the ordinary user of the Internet. Google Earth, at earth.google.com, is a free, 3-dimensional computer model of Earth, but that means more than just a large collection of pretty pictures. It allows the viewer to "fly" anywhere on Earth "to view…

  6. Teachable Moment: Google Earth Takes Us There

    Science.gov (United States)

    Williams, Ann; Davinroy, Thomas C.

    2015-01-01

    In the current educational climate, where clearly articulated learning objectives are required, it is clear that the spontaneous teachable moment still has its place. Authors Ann Williams and Thomas Davinroy think that instructors from almost any discipline can employ Google Earth as a tool to take advantage of teachable moments through the…

  7. CERN, as seen by Google Earth

    CERN Document Server

    2007-01-01

    Nothing escapes the eagle eye of Google Earth! The famous website renowned for its roving eye that pierces the darkest corners of our planet and the Cosmos now offers a guided tour of CERN, including the LHC. Granted, the camera can’t actually take you underground, but you still get a good overall view of the Laboratory’s installations from 3D diagrams illustrating the site’s main buildings. Information on the LHC project can be obtained via video clips and photos floating above the various locations. Take a look, it’s well worth a visit ! The 3D model runs through ‘Google Earth’, which can be downloaded free of charge from http://earth.google.com Find the LHC page at http://www.gearthblog.com/blog/archives/2007/11/large_hadron_collider_visible_in_go.html (or follow the link on the Bulletin website). To view the model click "Download the LHC model" and select "Open" or "Open with Google Earth" when prompted to do so...

  8. Discovering the Library with Google Earth

    Directory of Open Access Journals (Sweden)

    Michaela Brenner

    2008-06-01

    Full Text Available Libraries need to provide attractive and exciting discovery tools to draw patrons to the valuable resources in their catalogs. The authors conducted a pilot project to explore the free version of Google Earth as such a discover tool for Portland State Library’s digital collection of urban planning documents. They created eye-catching placemarks with links to parts of this collection, as well as to other pertinent materials like books, images, and historical background information. The detailed how-to-do part of this article is preceded by a discussion about discovery of library materials and followed by possible applications of this Google Earth project.

  9. Google Earth EC for Hydrocarbon Exploration

    Science.gov (United States)

    Thurmond, A. K.; Martinsen, O. J.; Haugland, J. I.; Johnsen, T. M.

    2008-12-01

    Within petroleum exploration research, a greater value has been placed on the acquisition and use of high resolution imagery, digital elevation models (DEM) and spatial vector data, which has led to a need for a technological solution that provides easy access to and rapid 3D viewing capabilities of large spatial datasets. However, to stay competitive, it is essential that this solution also have the capability to expand into an interpretation tool rather than exist as purely a visualization tool. The Google Earth Enterprise Solution software has led to the successful creation of a viewable database or globe that contains public and proprietary imagery, terrain and vector data that is relevant and applicable to our local and international interests. Though the database is viewed using the standard Google Earth client, the viewable database is proprietary, secured and only accessible from within our in-house network. This allows for access to company-relevant spatial data within seconds. The impact of the in-house Google Earth Enterprise Solution has led to its evolution from a visualization tool to an integration and application tool. Workflows are being established to automate the integration of proprietary GIS data into the system. Standalone GUI applications have been created to interface with the in-house flyable database for more dynamic interaction with and interpretation of the datasets. In this solution we have devised utilities that promote thinking "outside of the box" rather than just "off the shelf". Some of the applications of our solution include field campaign planning and tracking, onshore seismic planning, visualization of vertical section such as cross-sections or seismic data, visualization of photo- realistic outcrop models, and animations of geological time sequences. The integration of the proprietary high resolution imagery and terrain datasets with in-house specific vector data has become a powerful proven tool within research, exploration

  10. Integrating Live Access Server into Google Earth

    Science.gov (United States)

    Li, J.; Schweitzer, R.; Hankin, S.; O'Brien, K.

    2006-12-01

    The Live Access Server (LAS) is a highly configurable Web server designed to provide flexible access to visualization and analysis products generated from geo-referenced scientific data sets. Now at version 7.0, LAS has been in operation since 1994. The current ~{!0~}Armstrong?release of LAS V7 consists of a set of modular components in a three tiered architecture -- user interface, workflow orchestration and services to access data and generate scientific products. The LAS user interface (UI) helps the user make requests, preventing requests that are impossible or unreasonable. The UI communicates with the LAS Product Server (LPS the workflow orchestration component) via an XML string with an HTTP GET. When a request is received by the LPS, business logic converts this request into a series of Web Service requests invoked via SOAP. The SOAP services perform data access and generate products (visualizations, data subsets, analyses, etc.). LPS packages these outputs into final products via Jakarta Velocity templates for delivery to the end user. Back-end services are most often a legacy application wrapped in a Java class. The Java wrapper classes are deployed as Web Services accessible via SOAP using the AxisServlet and a custom Web Services Deployment Descriptor file. Ferret is the default visualization application used by LAS, though other applications (e.g. Matlab, CDAT, and GrADS) can also be used. This application demonstrates how Keyhole Markup Language (KML) can be used to provide simple integration of LAS and Google Earth. KML makes access to "Virtual Globe" capabilities so simple that it can be added as an option to existing systems. This application is one such example. The ability to package an image in KML was added to the LAS as a new SOAP service. On the LAS user interface, users can select a Google Earth product in the same manner that any other LAS product is requested. The server will dynamically generate a KML file, which contains the 2D plot

  11. Measuring sidewalk distances using Google Earth

    Directory of Open Access Journals (Sweden)

    Janssen Ian

    2012-03-01

    Full Text Available Abstract Background Physical activity is an important determinant of health. Walking is the most common physical activity performed by adults and the presence of sidewalks along roads is a determinant of walking. Geographic information systems (GIS can be used to measure sidewalks; however, GIS sidewalk data are difficult to access. The purpose of this study was to present a new GIS method for measuring the distance and coverage of sidewalks along roadways. Methods The new method contains three stages. Stage 1 involves calculating the distance of all road segments within the region of interest (e.g., neighborhood, extracting geospatial information on these road segments, and saving this information as a Google Earth file. This stage was performed in ArcGIS software. Stage 2 involves opening the extracted road segment geospatial data in Google Earth, visually examining road segments to see if they contain sidewalks, and deleting road segments without sidewalks. Stage 3 involves importing the modified road geospatial data into ArcGIS and calculating the length of road segments with sidewalks. The new method was tested in 315 sites across Canada. Each site consisted of a one km radius circular buffer surrounding a school. Results A detailed, step-by-step protocol is provided in the paper. The length of road segments with sidewalks in the testing sites ranged from 0.00 to 55.05 km (median 16.20 km. When expressed relative to the length of all road segments, the length of road segments with sidewalks ranged from 0% to 100% (median 53%. By comparison to urban testing sites, rural sites had shorter sidewalk lengths and a smaller proportion of the roads had sidewalk coverage. Conclusion This study provides a new GIS protocol that researchers can use to measure the distance and coverage of sidewalks along roadways.

  12. Overcoming Assessment Problems in Google Earth-Based Assignments

    Science.gov (United States)

    Johnson, Nicholas D.; Lang, Nicholas P.; Zophy, Kelley T.

    2011-01-01

    Educational technologies such as Google Earth have the potential to increase student learning and participation in geoscience classrooms. However, little has been written about tying the use of such software with effective assessment. To maximize Google Earth's learning potential for students, educators need to craft appropriate, research-based…

  13. Google Earth for Landowners: Insights from Hands-on Workshops

    Science.gov (United States)

    Huff, Tristan

    2014-01-01

    Google Earth is an accessible, user-friendly GIS that can help landowners in their management planning. I offered hands-on Google Earth workshops to landowners to teach skills, including mapmaking, length and area measurement, and database management. Workshop participants were surveyed at least 6 months following workshop completion, and learning…

  14. A Google Earth Grand Tour of the Terrestrial Planets

    Science.gov (United States)

    De Paor, Declan; Coba, Filis; Burgin, Stephen

    2016-01-01

    Google Earth is a powerful instructional resource for geoscience education. We have extended the virtual globe to include all terrestrial planets. Downloadable Keyhole Markup Language (KML) files (Google Earth's scripting language) associated with this paper include lessons about Mercury, Venus, the Moon, and Mars. We created "grand…

  15. Recent Advances in Geospatial Visualization with the New Google Earth

    Science.gov (United States)

    Anderson, J. C.; Poyart, E.; Yan, S.; Sargent, R.

    2017-12-01

    Google Earth's detailed, world-wide imagery and terrain data provide a rich backdrop for geospatial visualization at multiple scales, from global to local. The Keyhole Markup Language (KML) is an open standard that has been the primary way for users to author and share data visualizations in Google Earth. Despite its ease of use and flexibility for relatively small amounts of data, users can quickly run into difficulties and limitations working with large-scale or time-varying datasets using KML in Google Earth. Recognizing these challenges, we present our recent work toward extending Google Earth to be a more powerful data visualization platform. We describe a new KML extension to simplify the display of multi-resolution map tile pyramids - which can be created by analysis platforms like Google Earth Engine, or by a variety of other map tile production pipelines. We also describe how this implementation can pave the way to creating novel data visualizations by leveraging custom graphics shaders. Finally, we present our investigations into native support in Google Earth for data storage and transport formats that are well-suited for big raster and vector data visualization. Taken together, these capabilities make it easier to create and share new scientific data visualization experiences using Google Earth, and simplify the integration of Google Earth with existing map data products, services, and analysis pipelines.

  16. Academic Uses of Google Earth and Google Maps in a Library Setting

    Directory of Open Access Journals (Sweden)

    Eva Dodsworth

    2012-06-01

    Full Text Available Over the last several years, Google Earth and Google Maps have been adopted by many academic institutions as an academic research and mapping tool. The authors were interested in discovering how popular the Google mapping products are in the academic library setting. A survey was conducted to establish the mapping products’ popularity, and type of use in an academic library setting. Results show that over 90% of the respondents use Google Earth and Google Maps either to help answer research questions, to create and access finding aids, for instructional purposes or for promotion and marketing. The authors recommend expanding the mapping product’s user base to include all reference and liaison librarians.

  17. Estimating Water Levels with Google Earth Engine

    Science.gov (United States)

    Lucero, E.; Russo, T. A.; Zentner, M.; May, J.; Nguy-Robertson, A. L.

    2016-12-01

    Reservoirs serve multiple functions and are vital for storage, electricity generation, and flood control. For many areas, traditional ground-based reservoir measurements may not be available or data dissemination may be problematic. Consistent monitoring of reservoir levels in data-poor areas can be achieved through remote sensing, providing information to researchers and the international community. Estimates of trends and relative reservoir volume can be used to identify water supply vulnerability, anticipate low power generation, and predict flood risk. Image processing with automated cloud computing provides opportunities to study multiple geographic areas in near real-time. We demonstrate the prediction capability of a cloud environment for identifying water trends at reservoirs in the US, and then apply the method to data-poor areas in North Korea, Iran, Azerbaijan, Zambia, and India. The Google Earth Engine cloud platform hosts remote sensing data and can be used to automate reservoir level estimation with multispectral imagery. We combine automated cloud-based analysis from Landsat image classification to identify reservoir surface area trends and radar altimetry to identify reservoir level trends. The study estimates water level trends using three years of data from four domestic reservoirs to validate the remote sensing method, and five foreign reservoirs to demonstrate the method application. We report correlations between ground-based reservoir level measurements in the US and our remote sensing methods, and correlations between the cloud analysis and altimetry data for reservoirs in data-poor areas. The availability of regular satellite imagery and an automated, near real-time application method provides the necessary datasets for further temporal analysis, reservoir modeling, and flood forecasting. All statements of fact, analysis, or opinion are those of the author and do not reflect the official policy or position of the Department of Defense or any

  18. A comparison of Google Earth extracted points with GPS surveyed ...

    African Journals Online (AJOL)

    Surveying has become the most effective way of taking measurement in or/and on the earth surface. There is an exponential rise in techniques of taking measurements on the earth for different reasons and purposes. Google Earth offers an open source service, easy to access and cost free image data that supports map ...

  19. Measuring the quality of public open space using Google Earth.

    Science.gov (United States)

    Taylor, Bronwen T; Fernando, Peter; Bauman, Adrian E; Williamson, Anna; Craig, Jonathan C; Redman, Sally

    2011-02-01

    Proximity to public open space, such as parks and other green spaces, has considerable health benefits, and people have been shown to be more likely to use such space for physical activity if it is of high quality. This paper describes a new remote-assessment approach that makes use of Google Earth Pro (the free version of this program is Google Earth) to provide rapid and inexpensive measurement of the quality of public open space. The aim of the study was to assess the correlation between assessments of the quality of public open space using (1) the remote method (making use of Google Earth Pro) and (2) direct observation with a well-established measure of quality, the Public Open Space Tool (POST). Fifty parks selected from the southwest part of Sydney, Australia, were assessed in 2009 with the remote method (using Google Earth Pro), and scores were compared with those obtained from direct observation of the same parks using POST. The time taken to conduct the assessments using each method was also recorded. Raters for each method were blind to scores obtained from using the other method. Analyses were conducted in 2009. The Spearman correlation coefficient between the quality scores obtained for the 50 parks using the remote method and direct observation was 0.9 (pspaces without the need for in-person visits, dramatically reducing the time required for environmental audits of public open space. Copyright © 2011 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

  20. Google Earth and Geo Applications: A Toolset for Viewing Earth's Geospatial Information

    Science.gov (United States)

    Tuxen-Bettman, K.

    2016-12-01

    Earth scientists measure and derive fundamental data that can be of broad general interest to the public and policy makers. Yet, one of the challenges that has always faced the Earth science community is how to present their data and findings in an easy-to-use and compelling manner. Google's Geo Tools offer an efficient and dynamic way for scientists, educators, journalists and others to both access data and view or tell stories in a dynamic three-dimensional geospatial context. Google Earth in particular provides a dense canvas of satellite imagery on which can be viewed rich vector and raster datasets using the medium of Keyhole Markup Language (KML). Through KML, Google Earth can combine the analytical capabilities of Earth Engine, collaborative mapping of My Maps, and storytelling of Tour Builder and more to make Google's Geo Applications a coherent suite of tools for exploring our planet.https://earth.google.com/https://earthengine.google.com/https://mymaps.google.com/https://tourbuilder.withgoogle.com/https://www.google.com/streetview/

  1. Building a Dashboard of the Planet with Google Earth and Earth Engine

    Science.gov (United States)

    Moore, R. T.; Hancher, M.

    2016-12-01

    In 2005 Google Earth, a popular 3-D virtual globe, was first released. Scientists immediately recognized how it could be used to tell stories about the Earth. From 2006 to 2009, the "Virtual Globes" sessions of AGU included innovative examples of scientists and educators using Google Earth, and since that time it has become a commonplace tool for communicating scientific results. In 2009 Google Earth Engine, a cloud-based platform for planetary-scale geospatial analysis, was first announced. Earth Engine was initially used to extract information about the world's forests from raw Landsat data. Since then, the platform has proven highly effective for general analysis of georeferenced data, and users have expanded the list of use cases to include high-impact societal issues such as conservation, drought, disease, food security, water management, climate change and environmental monitoring. To support these use cases, the platform has continuously evolved with new datasets, analysis functions, and user interface tools. This talk will give an overview of the latest Google Earth and Earth Engine functionality that allow partners to understand, monitor and tell stories about of our living, breathing Earth. https://earth.google.com https://earthengine.google.com

  2. EXPERIENCE OF GOOGLE EARTH USE WHEN TEACHING GEOGRAPHICAL DISCIPLINES

    Directory of Open Access Journals (Sweden)

    Vitalina V. Fedoniuk

    2013-11-01

    Full Text Available The possibility of using GIS in the study of geographical and environmental sciences is shown. Some features of work with the Google Earth software product are described. Possible practical works with additional layers of services of geospatial data are described. Examples of practical tasks for the students are given. In particular, such topics are considered: the study of landscapes, work with cartographical images, the construction of hypsometric profiles, photomaps creating, analysis of natural reserve fund, assessment of territorial distribution of global and regional environmental problems, etc. Possibilities of improvement of carrying out practical and laboratory works on disciplines of a geographical and geoecological cycle with Google Earth program application are highlighted.

  3. Multi-source Geospatial Data Analysis with Google Earth Engine

    Science.gov (United States)

    Erickson, T.

    2014-12-01

    The Google Earth Engine platform is a cloud computing environment for data analysis that combines a public data catalog with a large-scale computational facility optimized for parallel processing of geospatial data. The data catalog is a multi-petabyte archive of georeferenced datasets that include images from Earth observing satellite and airborne sensors (examples: USGS Landsat, NASA MODIS, USDA NAIP), weather and climate datasets, and digital elevation models. Earth Engine supports both a just-in-time computation model that enables real-time preview and debugging during algorithm development for open-ended data exploration, and a batch computation mode for applying algorithms over large spatial and temporal extents. The platform automatically handles many traditionally-onerous data management tasks, such as data format conversion, reprojection, and resampling, which facilitates writing algorithms that combine data from multiple sensors and/or models. Although the primary use of Earth Engine, to date, has been the analysis of large Earth observing satellite datasets, the computational platform is generally applicable to a wide variety of use cases that require large-scale geospatial data analyses. This presentation will focus on how Earth Engine facilitates the analysis of geospatial data streams that originate from multiple separate sources (and often communities) and how it enables collaboration during algorithm development and data exploration. The talk will highlight current projects/analyses that are enabled by this functionality.https://earthengine.google.org

  4. Google earth as a source of ancillary material in a history of psychology class.

    Science.gov (United States)

    Stevison, Blake K; Biggs, Patrick T; Abramson, Charles I

    2010-06-01

    This article discusses the use of Google Earth to visit significant geographical locations associated with events in the history of psychology. The process of opening files, viewing content, adding placemarks, and saving customized virtual tours on Google Earth are explained. Suggestions for incorporating Google Earth into a history of psychology course are also described.

  5. Enhancing Geographic and Digital Literacy with a Student-Generated Course Portfolio in Google Earth

    Science.gov (United States)

    Guertin, Laura; Stubbs, Christopher; Millet, Christopher; Lee, Tsan-Kuang; Bodek, Matthew

    2012-01-01

    Google Earth can serve as a platform for students to construct a course ePortfolio. By having students construct their own placemarks in a customized Google Earth file, students document their learning in a geospatial context, learn an innovative use of Google Earth, and have the opportunity for creativity and flexibility with disseminating their…

  6. Factors Affecting Student Success with a Google Earth-Based Earth Science Curriculum

    Science.gov (United States)

    Blank, Lisa M.; Almquist, Heather; Estrada, Jen; Crews, Jeff

    2016-01-01

    This study investigated to what extent the implementation of a Google Earth (GE)-based earth science curriculum increased students' understanding of volcanoes, earthquakes, plate tectonics, scientific reasoning abilities, and science identity. Nine science classrooms participated in the study. In eight of the classrooms, pre- and post-assessments…

  7. Satellite Data for All? Review of Google Earth Engine for Archaeological Remote Sensing

    Directory of Open Access Journals (Sweden)

    Omar A. Alcover Firpi

    2016-11-01

    Full Text Available A review of Google Earth Engine for archaeological remote sensing using satellite data. GEE is a freely accessible software option for processing remotely sensed data, part of the larger Google suite of products.

  8. Spatiotemporal Visualization of Tsunami Waves Using Kml on Google Earth

    Science.gov (United States)

    Mohammadi, H.; Delavar, M. R.; Sharifi, M. A.; Pirooz, M. D.

    2017-09-01

    Disaster risk is a function of hazard and vulnerability. Risk is defined as the expected losses, including lives, personal injuries, property damages, and economic disruptions, due to a particular hazard for a given area and time period. Risk assessment is one of the key elements of a natural disaster management strategy as it allows for better disaster mitigation and preparation. It provides input for informed decision making, and increases risk awareness among decision makers and other stakeholders. Virtual globes such as Google Earth can be used as a visualization tool. Proper spatiotemporal graphical representations of the concerned risk significantly reduces the amount of effort to visualize the impact of the risk and improves the efficiency of the decision-making process to mitigate the impact of the risk. The spatiotemporal visualization of tsunami waves for disaster management process is an attractive topic in geosciences to assist investigation of areas at tsunami risk. In this paper, a method for coupling virtual globes with tsunami wave arrival time models is presented. In this process we have shown 2D+Time of tsunami waves for propagation and inundation of tsunami waves, both coastal line deformation, and the flooded areas. In addition, the worst case scenario of tsunami on Chabahar port derived from tsunami modelling is also presented using KML on google earth.

  9. Google Under-the-Earth: Seeing Beneath Stonehenge using Google Earth - a Tool for Public Engagement and the Dissemination of Archaeological Data

    Directory of Open Access Journals (Sweden)

    Kate Welham

    2015-07-01

    Full Text Available This article focuses on the use of Google Earth as a tool to facilitate public engagement and dissemination of data. It examines a case study based around one of the largest archaeological investigations of the Stonehenge landscape, the Stonehenge Riverside Project. A bespoke layer for Google Earth was developed to communicate the discoveries of the research by creating an engaging, interactive and informative multimedia application that could be viewed by users across the world. The article describes the creation of the layer: Google Under-the-Earth: Seeing Beneath Stonehenge, and the public uptake and response to this. The project was supported by a Google Research Award, and working alongside Google enabled a 'free to download' platform for users to view the data within in the form of Google Earth, as well as the integration of a variety of applications including: Google SketchUp, YouTube, and Flickr. In addition, the integration of specialist software, such as Esri ArcGIS, was fundamental to the integration of the spatial data gathered by the project. Methodologies used to create the application are documented here, including how different outputs were integrated such as geophysical survey, 3D reconstructions and landscape tours. The future possibilities for utilising Google Earth for public engagement and understanding in the discipline are examined.

  10. Generating and Visualizing Climate Indices using Google Earth Engine

    Science.gov (United States)

    Erickson, T. A.; Guentchev, G.; Rood, R. B.

    2017-12-01

    Climate change is expected to have largest impacts on regional and local scales. Relevant and credible climate information is needed to support the planning and adaptation efforts in our communities. The volume of climate projections of temperature and precipitation is steadily increasing, as datasets are being generated on finer spatial and temporal grids with an increasing number of ensembles to characterize uncertainty. Despite advancements in tools for querying and retrieving subsets of these large, multi-dimensional datasets, ease of access remains a barrier for many existing and potential users who want to derive useful information from these data, particularly for those outside of the climate modelling research community. Climate indices, that can be derived from daily temperature and precipitation data, such as annual number of frost days or growing season length, can provide useful information to practitioners and stakeholders. For this work the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) dataset was loaded into Google Earth Engine, a cloud-based geospatial processing platform. Algorithms that use the Earth Engine API to generate several climate indices were written. The indices were chosen from the set developed by the joint CCl/CLIVAR/JCOMM Expert Team on Climate Change Detection and Indices (ETCCDI). Simple user interfaces were created that allow users to query, produce maps and graphs of the indices, as well as download results for additional analyses. These browser-based interfaces could allow users in low-bandwidth environments to access climate information. This research shows that calculating climate indices from global downscaled climate projection datasets and sharing them widely using cloud computing technologies is feasible. Further development will focus on exposing the climate indices to existing applications via the Earth Engine API, and building custom user interfaces for presenting climate indices to a diverse set of

  11. Jupyter meets Earth: Creating Comprehensible and Reproducible Scientific Workflows with Jupyter Notebooks and Google Earth Engine

    Science.gov (United States)

    Erickson, T.

    2016-12-01

    Deriving actionable information from Earth observation data obtained from sensors or models can be quite complicated, and sharing those insights with others in a form that they can understand, reproduce, and improve upon is equally difficult. Journal articles, even if digital, commonly present just a summary of an analysis that cannot be understood in depth or reproduced without major effort on the part of the reader. Here we show a method of improving scientific literacy by pairing a recently developed scientific presentation technology (Jupyter Notebooks) with a petabyte-scale platform for accessing and analyzing Earth observation and model data (Google Earth Engine). Jupyter Notebooks are interactive web documents that mix live code with annotations such as rich-text markup, equations, images, videos, hyperlinks and dynamic output. Notebooks were first introduced as part of the IPython project in 2011, and have since gained wide acceptance in the scientific programming community, initially among Python programmers but later by a wide range of scientific programming languages. While Jupyter Notebooks have been widely adopted for general data analysis, data visualization, and machine learning, to date there have been relatively few examples of using Jupyter Notebooks to analyze geospatial datasets. Google Earth Engine is cloud-based platform for analyzing geospatial data, such as satellite remote sensing imagery and/or Earth system model output. Through its Python API, Earth Engine makes petabytes of Earth observation data accessible, and provides hundreds of algorithmic building blocks that can be chained together to produce high-level algorithms and outputs in real-time. We anticipate that this technology pairing will facilitate a better way of creating, documenting, and sharing complex analyses that derive information on our Earth that can be used to promote broader understanding of the complex issues that it faces. http://jupyter.orghttps://earthengine.google.com

  12. Interacting with Petabytes of Earth Science Data using Jupyter Notebooks, IPython Widgets and Google Earth Engine

    Science.gov (United States)

    Erickson, T. A.; Granger, B.; Grout, J.; Corlay, S.

    2017-12-01

    The volume of Earth science data gathered from satellites, aircraft, drones, and field instruments continues to increase. For many scientific questions in the Earth sciences, managing this large volume of data is a barrier to progress, as it is difficult to explore and analyze large volumes of data using the traditional paradigm of downloading datasets to a local computer for analysis. Furthermore, methods for communicating Earth science algorithms that operate on large datasets in an easily understandable and reproducible way are needed. Here we describe a system for developing, interacting, and sharing well-documented Earth Science algorithms that combines existing software components: Jupyter Notebook: An open-source, web-based environment that supports documents that combine code and computational results with text narrative, mathematics, images, and other media. These notebooks provide an environment for interactive exploration of data and development of well documented algorithms. Jupyter Widgets / ipyleaflet: An architecture for creating interactive user interface controls (such as sliders, text boxes, etc.) in Jupyter Notebooks that communicate with Python code. This architecture includes a default set of UI controls (sliders, dropboxes, etc.) as well as APIs for building custom UI controls. The ipyleaflet project is one example that offers a custom interactive map control that allows a user to display and manipulate geographic data within the Jupyter Notebook. Google Earth Engine: A cloud-based geospatial analysis platform that provides access to petabytes of Earth science data via a Python API. The combination of Jupyter Notebooks, Jupyter Widgets, ipyleaflet, and Google Earth Engine makes it possible to explore and analyze massive Earth science datasets via a web browser, in an environment suitable for interactive exploration, teaching, and sharing. Using these environments can make Earth science analyses easier to understand and reproducible, which may

  13. Using Google Earth Surface Metrics to Predict Plant Species Richness in a Complex Landscape

    Directory of Open Access Journals (Sweden)

    Sebastián Block

    2016-10-01

    Full Text Available Google Earth provides a freely available, global mosaic of high-resolution imagery from different sensors that has become popular in environmental and ecological studies. However, such imagery lacks the near-infrared band often used in studying vegetation, thus its potential for estimating vegetation properties remains unclear. In this study, we assess the potential of Google Earth imagery to describe and predict vegetation attributes. Further, we compare it to the potential of SPOT imagery, which has additional spectral information. We measured basal area, vegetation height, crown cover, density of individuals, and species richness in 60 plots in the oak forests of a complex volcanic landscape in central Mexico. We modelled each vegetation attribute as a function of surface metrics derived from Google Earth and SPOT images, and selected the best-supported linear models from each source. Total species richness was the best-described and predicted variable: the best Google Earth-based model explained nearly as much variation in species richness as its SPOT counterpart (R2 = 0.44 and 0.51, respectively. However, Google Earth metrics emerged as poor predictors of all remaining vegetation attributes, whilst SPOT metrics showed potential for predicting vegetation height. We conclude that Google Earth imagery can be used to estimate species richness in complex landscapes. As it is freely available, Google Earth can broaden the use of remote sensing by researchers and managers in low-income tropical countries where most biodiversity hotspots are found.

  14. Google Hacks

    CERN Document Server

    Dornfest, Rael; Calishain, Tara

    2006-01-01

    Everyone knows that Google lets you search billions of web pages. But few people realize that Google also gives you hundreds of cool ways to organize and play with information.Since we released the last edition of this bestselling book, Google has added many new features and services to its expanding universe: Google Earth, Google Talk, Google Maps, Google Blog Search, Video Search, Music Search, Google Base, Google Reader, and Google Desktop among them. We've found ways to get these new services to do even more.The expanded third edition of Google Hacks is a brand-new and infinitely more usef

  15. Dynamic Flood Vulnerability Mapping with Google Earth Engine

    Science.gov (United States)

    Tellman, B.; Kuhn, C.; Max, S. A.; Sullivan, J.

    2015-12-01

    Satellites capture the rate and character of environmental change from local to global levels, yet integrating these changes into flood exposure models can be cost or time prohibitive. We explore an approach to global flood modeling by leveraging satellite data with computing power in Google Earth Engine to dynamically map flood hazards. Our research harnesses satellite imagery in two main ways: first to generate a globally consistent flood inundation layer and second to dynamically model flood vulnerability. Accurate and relevant hazard maps rely on high quality observation data. Advances in publicly available spatial, spectral, and radar data together with cloud computing allow us to improve existing efforts to develop a comprehensive flood extent database to support model training and calibration. This talk will demonstrate the classification results of algorithms developed in Earth Engine designed to detect flood events by combining observations from MODIS, Landsat 8, and Sentinel-1. Our method to derive flood footprints increases the number, resolution, and precision of spatial observations for flood events both in the US, recorded in the NCDC (National Climatic Data Center) storm events database, and globally, as recorded events from the Colorado Flood Observatory database. This improved dataset can then be used to train machine learning models that relate spatial temporal flood observations to satellite derived spatial temporal predictor variables such as precipitation, antecedent soil moisture, and impervious surface. This modeling approach allows us to rapidly update models with each new flood observation, providing near real time vulnerability maps. We will share the water detection algorithms used with each satellite and discuss flood detection results with examples from Bihar, India and the state of New York. We will also demonstrate how these flood observations are used to train machine learning models and estimate flood exposure. The final stage of

  16. The Third Side of the Coin: Using Google Earth to Visualize Numismatic Data

    Directory of Open Access Journals (Sweden)

    Kristina Neumann

    2017-12-01

    Full Text Available This article presents one digital approach to ancient numismatics. The proposed methodology maps geo-referenced quantities of coin finds within the platform of Google Earth – a free virtual globe available through the Internet. Especially for the uninitiated scholar, Google Earth efficiently visualizes both the spatial and chronological distribution of thousands of coins and provides an intuitive and interactive space for exploring regional and empire-wide patterns in their movement. While the practical applications of this methodology are many, this article focuses on an ongoing study of Antioch-on-the-Orontes in northern Syria and its regional evolution after Roman annexation. This project draws upon Google Earth as an invaluable first step in synthesizing the wealth of disparate coin data available for the city. After outlining the methodology to achieve such a visualization, this article highlights several promising patterns revealed by Google Earth in the dataset.

  17. [Establishment of Oncomelania hupensis snail database based on smartphone and Google Earth].

    Science.gov (United States)

    Wang, Wei-chun; Zhan, Ti; Zhu, Ying-fu

    2015-02-01

    To establish an Oncomelania hupensis snail database based on smartphone and Google Earth. The HEAD GPS software was loaded in the smartphone first. The GPS data of the snails were collected by the smartphone. The original data were exported to the computer with the format of KMIUKMZ. Then the data were converted into Excel file format by using some software. Finally, the results based on laboratory were filled, and the digital snail data were established. The data were converted into KML, and then were showed by Google Earth visually. The snail data of a 5 hm2-beach along the Yangtze River were collected and the distribution of the snails based on Google Earth was obtained. The database of the snails was built. The query function was implemented about the number of the total snails, the living snails and the schistosome infected snails of each survey frame. The digital management of the snail data is realized by using the smartphone and Google Earth.

  18. Flying across Galaxy Clusters with Google Earth: additional imagery from SDSS co-added data

    International Nuclear Information System (INIS)

    Hao, Jiangang; Annis, James

    2010-01-01

    Galaxy clusters are spectacular. We provide a Google Earth compatible imagery for the deep co-added images from the Sloan Digital Sky Survey and make it a tool for examing galaxy clusters. Google Earth (in sky mode) provides a highly interactive environment for visualizing the sky. By encoding the galaxy cluster information into a kml/kmz file, one can use Google Earth as a tool for examining galaxy clusters and fly across them freely. However, the resolution of the images provided by Google Earth is not very high. This is partially because the major imagery google earth used is from Sloan Digital Sky Survey (SDSS) (SDSS collaboration 2000) and the resolutions have been reduced to speed up the web transferring. To have higher resolution images, you need to add your own images in a way that Google Earth can understand. The SDSS co-added data are the co-addition of ∼100 scans of images from SDSS stripe 82 (Annis et al. 2010). It provides the deepest images based on SDSS and reach as deep as about redshift 1.0. Based on the co-added images, we created color images in a way as described by Lupton et al. (2004) and convert the color images to Google Earth compatible images using wcs2kml (Brewer et al. 2007). The images are stored at a public server at Fermi National Accelerator Laboratory and can be accessed by the public. To view those images in Google Earth, you need to download a kmz file, which contains the links to the color images, and then open the kmz file with your Google Earth. To meet different needs for resolutions, we provide three kmz files corresponding to low, medium and high resolution images. We recommend the high resolution one as long as you have a broadband Internet connection, though you should choose to download any of them, depending on your own needs and Internet speed. After you open the downloaded kmz file with Google Earth (in sky mode), it takes about 5 minutes (depending on your Internet connection and the resolution of images you want

  19. Google Earth: Inspiration and Instrument for the Study of Ancient Civilizations

    Directory of Open Access Journals (Sweden)

    Jaroslav Klokočník

    2011-12-01

    Full Text Available Satellite imaging is well known as a useful tool in many scientific disciplines and various applications.  Google Earth, with its free access, is now - thanks to increasing resolution and precision - such a tool. It can be very inspiring. It improves the visualization and dissemination of scientific data, and opens doors to new discoveries. For example, many Nasca geoglyphs are now visible to Google Earth and so are the orientations of Chinese pyramids, which appear to be laid out with the aid of a magnetic compass. Google Earth also infor-med us about the “new” archaeological locality Atzompa close to the well known “Monte Alban” near Oaxaca (Mexico, which we then visited (in March 2010. Google Earth can also “see” prehistoric causeways in Mesoamerica, “sacbeob” and in the Chaco valley (New Mexico. We find that Google Earth can save time and resources to researches significantly: before, during and after field works and measurements; we present examples.

  20. Interactive Computing and Processing of NASA Land Surface Observations Using Google Earth Engine

    Science.gov (United States)

    Molthan, Andrew; Burks, Jason; Bell, Jordan

    2016-01-01

    Google's Earth Engine offers a "big data" approach to processing large volumes of NASA and other remote sensing products. h\\ps://earthengine.google.com/ Interfaces include a Javascript or Python-based API, useful for accessing and processing over large periods of record for Landsat and MODIS observations. Other data sets are frequently added, including weather and climate model data sets, etc. Demonstrations here focus on exploratory efforts to perform land surface change detection related to severe weather, and other disaster events.

  1. PEMANFAATAN CITRA PENGIDERAAN JAUH PADA GOOGLE EARTH UNTUK PEMBUATAN PETA CITRA DI KECAMATAN MARGA, KABUPATEN TABANAN

    Directory of Open Access Journals (Sweden)

    I Wayan Krisna Eka Putra

    2017-07-01

    Full Text Available Kecamatan Marga merupakan salah satu kecamatan yang sebagian besar desa-desa nya belum memiliki peta desa khususnya peta citra. Tujuan dari kegiatan ini adalah agar (1 terbentuknya pengetahuan dan keterampilan aparat desa dalam hal membuat peta citra, dan (2 memfasilitasi aparat desa agar dapat menghasilkan peta citra. Tahapan pelaksanaan kegiatan yaitu: (1 persiapan yang meliputi penyusunan materi dan pedoman untuk download data citra penginderaan jauh pada Google Earth menggunakan software StichMaps dan Quantum GIS, penyusunan materi dan pedoman untuk membuat peta citra, serta validasi data citra yang akan digunakan sebagai data dasar, (2 pelaksanaan yang meliputi pemberian bimbingan teknis cara download data citra penginderaan jauh pada Google Earth, (3 evaluasi keberhasilan kegiatan membuat peta citra dari data citra penginderaan jauh pada Google Earth, dan proses print out peta. Kegiatan ini berjalan dengan lancar sesuai rencana, hanya saja peserta masih belum bisa mandiri membuat peta terutama pada saat melakukan proses layout peta.

  2. THE VISUALIZATION METHOD OF THE 3D CONCENTRATION DISTRIBUTION OF ASIAN DUST IN THE GOOGLE EARTH

    Directory of Open Access Journals (Sweden)

    W. Okuda

    2012-07-01

    Full Text Available The Asian dust (called "Kosa" in Japan transported from desert areas in the northern China often covers over East Asia in the late winter and spring seasons. In this study, first of all, for dust events observed at various places in Japan on April 1, 2007 and March 21, 2010, the long-range transport simulation of Asian dust from desert areas in the northern China to Japan is carried out. Next, the method for representing 3D dust clouds by means of the image overlay functionality provided in the Google Earth is described. Since it is very difficult to display 3D dust clouds along the curvature of the Earth on the global scale, the 3D dust cloud distributed at the altitude of about 6300m was divided into many thin layers, each of which is the same thickness. After each of layers was transformed to the image layer, each image layer was displayed at the appropriate altitude in the Google Earth. Thus obtained image layers were displayed every an hour in the Google Earth. Finally, it is shown that 3D Asian dust clouds generated by the method described in this study are represented as smooth 3D cloud objects even if we looked at Asian dust clouds transversely in the Google Earth.

  3. Embodied Space in Google Earth: Crisis in Darfur

    Directory of Open Access Journals (Sweden)

    Catherine Summerhayes

    2011-10-01

    Full Text Available

    “The ‘eyes’ made available in modern technological sciences shatter any idea of passive vision; these prosthetic devices show us that all eyes, including our own organic ones, are active perceptual systems…” (Donna Haraway, 1991.

    A tool of military surveillance to “love at a distance”? (Caroline Bassett, 2006. Google Earth, a culmination of remote sensing satellite technologies, mega database and 3D animations, is open to both kinds of critique. This paper focuses on the latter, on how the human faculty for compassion might be aligned with and elicited from the ways we search and apprehend the swirling visions of earth that Google Earth makes available. Haraway’s idea that new kinds of “prosthetic” vision constitute “active perceptual systems” resonates strongly with Hansen’s description of the digital image as a new kind of image that is produced through the process of searching rather than from passive viewing. My discussion of the Google Earth site, Crisis in Darfur, investigates the subversive possibilities of compassion in opening up an aesthetic and yet mundane space of respite from the regimes of power inherent to Google Earth, a website with an undeniable prehistory of military surveillance.

  4. Using Google Earth to Study the Basic Characteristics of Volcanoes

    Science.gov (United States)

    Schipper, Stacia; Mattox, Stephen

    2010-01-01

    Landforms, natural hazards, and the change in the Earth over time are common material in state and national standards. Volcanoes exemplify these standards and readily capture the interest and imagination of students. With a minimum of training, students can recognize erupted materials and types of volcanoes; in turn, students can relate these…

  5. Three-dimensional slum urban reconstruction in Envisat and Google Earth Egypt

    Science.gov (United States)

    Marghany, M.; Genderen, J. v.

    2014-02-01

    This study aims to aim to investigate the capability of ENVISAT ASAR satellite and Google Earth data for three-dimensional (3-D) slum urban reconstruction in developed country such as Egypt. The main objective of this work is to utilize 3-D automatic detection algorithm for urban slum in ENVISAT ASAR and Google Erath images were acquired in Cairo, Egypt using Fuzzy B-spline algorithm. The results show that fuzzy algorithm is the best indicator for chaotic urban slum as it can discriminate them from its surrounding environment. The combination of Fuzzy and B-spline then used to reconstruct 3-D of urban slam. The results show that urban slums, road network, and infrastructures are perfectly discriminated. It can therefore be concluded that fuzzy algorithm is an appropriate algorithm for chaotic urban slum automatic detection in ENVSIAT ASAR and Google Earth data.

  6. Three-dimensional slum urban reconstruction in Envisat and Google Earth Egypt

    International Nuclear Information System (INIS)

    Marghany, M; Genderen, J v

    2014-01-01

    This study aims to aim to investigate the capability of ENVISAT ASAR satellite and Google Earth data for three-dimensional (3-D) slum urban reconstruction in developed country such as Egypt. The main objective of this work is to utilize 3-D automatic detection algorithm for urban slum in ENVISAT ASAR and Google Erath images were acquired in Cairo, Egypt using Fuzzy B-spline algorithm. The results show that fuzzy algorithm is the best indicator for chaotic urban slum as it can discriminate them from its surrounding environment. The combination of Fuzzy and B-spline then used to reconstruct 3-D of urban slam. The results show that urban slums, road network, and infrastructures are perfectly discriminated. It can therefore be concluded that fuzzy algorithm is an appropriate algorithm for chaotic urban slum automatic detection in ENVSIAT ASAR and Google Earth data

  7. Utilizing Google Earth to Teach Students about Global Oil Spill Disasters

    Science.gov (United States)

    Guertin, Laura; Neville, Sara

    2011-01-01

    The United States is currently experiencing its worst man-made environmental disaster, the BP Deepwater Horizon oil leak. The Gulf of Mexico oil spill is severe in its impact, but it is only one of several global oil spill disasters in history. Students can utilize the technology of Google Earth to explore the spatial and temporal distribution of…

  8. Using Google Earth as an Educational Tool in Secondary School Geography Lessons

    Science.gov (United States)

    Demirci, Ali; Karaburun, Ahmet; Kilar, Hatice

    2013-01-01

    This article evaluates effectiveness of Google Earth (GE) as an educational tool in secondary school geography lessons and whether it contributes to students' achievement. A GE exercise was developed regarding the types of coastal formations. It was implemented in a ninth-grade geography lesson in three high schools in Turkey. The students…

  9. A Virtual Tour of Plate Tectonics: Using Google Earth for Inquiry Investigations

    Science.gov (United States)

    Mulvey, Bridget; Bell, Randy

    2012-01-01

    Google Earth is an exciting way to engage students in scientific inquiry--the foundation of science education standards and reforms. The National Science Education Standards identify inquiry as an active process that incorporates questioning, gathering and analyzing data, and thinking critically about the interplay of evidence and explanations.…

  10. Teaching Topographic Map Skills and Geomorphology Concepts with Google Earth in a One-Computer Classroom

    Science.gov (United States)

    Hsu, Hsiao-Ping; Tsai, Bor-Wen; Chen, Che-Ming

    2018-01-01

    Teaching high-school geomorphological concepts and topographic map reading entails many challenges. This research reports the applicability and effectiveness of Google Earth in teaching topographic map skills and geomorphological concepts, by a single teacher, in a one-computer classroom. Compared to learning via a conventional instructional…

  11. The Effect of Google Earth and Wiki Models on Oral Presentation Skills of University EFL Learners

    Science.gov (United States)

    Awada, Ghada; Diab, Hassan B.

    2018-01-01

    This article reports the results of an experimental study that investigated the effectiveness of Google Earth and Wiki tools in improving the oral presentation skills of English as a Foreign Language (EFL) learners and boosting their motivation for learning. The participants (n =81) are enrolled in writing classes at two English-medium…

  12. Harvesting rockfall hazard evaluation parameters from Google Earth Street View

    Science.gov (United States)

    Partsinevelos, Panagiotis; Agioutantis, Zacharias; Tripolitsiotis, Achilles; Steiakakis, Chrysanthos; Mertikas, Stelios

    2015-04-01

    Rockfall incidents along highways and railways prove extremely dangerous for properties, infrastructures and human lives. Several qualitative metrics such as the Rockfall Hazard Rating System (RHRS) and the Colorado Rockfall Hazard Rating System (CRHRS) have been established to estimate rockfall potential and provide risk maps in order to control and monitor rockfall incidents. The implementation of such metrics for efficient and reliable risk modeling require accurate knowledge of multi-parametric attributes such as the geological, geotechnical, topographic parameters of the study area. The Missouri Rockfall Hazard Rating System (MORH RS) identifies the most potentially problematic areas using digital video logging for the determination of parameters like slope height and angle, face irregularities, etc. This study aims to harvest in a semi-automated approach geometric and qualitative measures through open source platforms that may provide 3-dimensional views of the areas of interest. More specifically, the Street View platform from Google Maps, is hereby used to provide essential information that can be used towards 3-dimensional reconstruction of slopes along highways. The potential of image capturing along a programmable virtual route to provide the input data for photogrammetric processing is also evaluated. Moreover, qualitative characterization of the geological and geotechnical status, based on the Street View images, is performed. These attributes are then integrated to deliver a GIS-based rockfall hazard map. The 3-dimensional models are compared to actual photogrammetric measures in a rockfall prone area in Crete, Greece while in-situ geotechnical characterization is also used to compare and validate the hazard risk. This work is considered as the first step towards the exploitation of open source platforms to improve road safety and the development of an operational system where authorized agencies (i.e., civil protection) will be able to acquire near

  13. Predicting the performance of local seismic networks using Matlab and Google Earth.

    Energy Technology Data Exchange (ETDEWEB)

    Chael, Eric Paul

    2009-11-01

    We have used Matlab and Google Earth to construct a prototype application for modeling the performance of local seismic networks for monitoring small, contained explosions. Published equations based on refraction experiments provide estimates of peak ground velocities as a function of event distance and charge weight. Matlab routines implement these relations to calculate the amplitudes across a network of stations from sources distributed over a geographic grid. The amplitudes are then compared to ambient noise levels at the stations, and scaled to determine the smallest yield that could be detected at each source location by a specified minimum number of stations. We use Google Earth as the primary user interface, both for positioning the stations of a hypothetical local network, and for displaying the resulting detection threshold contours.

  14. Making a report of a short trip in an ophiolitic complex with Google Earth

    Science.gov (United States)

    Aubret, Marianne

    2017-04-01

    Plate tectonics is taught in French secondary school (lower and upper-sixth). According to the curriculum, the comprehension of plate-tectonic processes and concepts should be based on field data. For example, the Alpine's ocean history is studied to understand how mountain ranges are formed. In this context, Corsica is a great open-air laboratory, but unfortunately, the traffic conditions are very difficult in the island and despite the short distances, it's almost impossible for teachers to take their students to the remarkable geologic spots. The «défilé de l'Inzecca» is one of them: there you can see a part of the alpine's ophiolitic complex. The aim of this activity is to elaborate a « KMZ folder » in Google Earth as a report of a short trip thanks to the students' data field; it is also the occasion to enrich the Google Earth KMZ folder already available for our teaching.

  15. Orientering og banelægning med Google Earth og Condes

    DEFF Research Database (Denmark)

    Jørgensen, Henrik Taarsted; Piaster, Thomas Gabriel

    2011-01-01

    Et e-læringsmodul på Danmarks undervisningsportal, som handler om hvordan man kan arbejde med banelægning indenfor o-løb. Med udgangspunkt i de to gratisprogrammer Google Earth og Condes lærer man gennem modulet, hvordan man indtegner poster og hvordan eleverne kan gøre det samme.......Et e-læringsmodul på Danmarks undervisningsportal, som handler om hvordan man kan arbejde med banelægning indenfor o-løb. Med udgangspunkt i de to gratisprogrammer Google Earth og Condes lærer man gennem modulet, hvordan man indtegner poster og hvordan eleverne kan gøre det samme....

  16. Visualizing the 2009 Samoan and Sumatran Earthquakes using Google Earth-based COLLADA models

    Science.gov (United States)

    de Paor, D. G.; Brooks, W. D.; Dordevic, M.; Ranasinghe, N. R.; Wild, S. C.

    2009-12-01

    Earthquake hazards are generally analyzed by a combination of graphical focal mechanism or centroid moment tensor solutions (aka geophysical beach balls), contoured fault plane maps, and shake maps or tsunami damage surveys. In regions of complex micro-plate tectonics, it can be difficult to visualize spatial and temporal relations among earthquakes, aftershocks, and associated tectonic and volcanic structures using two-dimensional maps and cross sections alone. Developing the techniques originally described by D.G. De Paor & N.R. Williams (EOS Trans. AGU S53E-05, 2006), we can view the plate tectonic setting, geophysical parameters, and societal consequences of the 2009 Samoan and Sumatran earthquakes on the Google Earth virtual globe. We use xml-based COLLADA models to represent the subsurface structure and standard KML to overlay map data on the digital terrain model. Unlike traditional geophysical beach ball figures, our models are three dimensional and located at correct depth, and they optionally show nodal planes which are useful in relating the orientation of one earthquake to the hypo-centers of its neighbors. With the aid of the new Google Earth application program interface (GE API), we can use web page-based Javascript controls to lift structural models from the subsurface in Google Earth and generate serial sections along strike. Finally, we use the built-in features of the Google Earth web browser plug-in to create a virtual tour of damage sites with hyperlinks to web-based field reports. These virtual globe visualizations may help complement existing KML and HTML resources of the USGS Earthquake Hazards Program and The Global CMT Project.

  17. Sally Ride EarthKAM - Automated Image Geo-Referencing Using Google Earth Web Plug-In

    Science.gov (United States)

    Andres, Paul M.; Lazar, Dennis K.; Thames, Robert Q.

    2013-01-01

    Sally Ride EarthKAM is an educational program funded by NASA that aims to provide the public the ability to picture Earth from the perspective of the International Space Station (ISS). A computer-controlled camera is mounted on the ISS in a nadir-pointing window; however, timing limitations in the system cause inaccurate positional metadata. Manually correcting images within an orbit allows the positional metadata to be improved using mathematical regressions. The manual correction process is time-consuming and thus, unfeasible for a large number of images. The standard Google Earth program allows for the importing of KML (keyhole markup language) files that previously were created. These KML file-based overlays could then be manually manipulated as image overlays, saved, and then uploaded to the project server where they are parsed and the metadata in the database is updated. The new interface eliminates the need to save, download, open, re-save, and upload the KML files. Everything is processed on the Web, and all manipulations go directly into the database. Administrators also have the control to discard any single correction that was made and validate a correction. This program streamlines a process that previously required several critical steps and was probably too complex for the average user to complete successfully. The new process is theoretically simple enough for members of the public to make use of and contribute to the success of the Sally Ride EarthKAM project. Using the Google Earth Web plug-in, EarthKAM images, and associated metadata, this software allows users to interactively manipulate an EarthKAM image overlay, and update and improve the associated metadata. The Web interface uses the Google Earth JavaScript API along with PHP-PostgreSQL to present the user the same interface capabilities without leaving the Web. The simpler graphical user interface will allow the public to participate directly and meaningfully with EarthKAM. The use of

  18. Naive (commonsense) geography and geobrowser usability after ten years of Google Earth

    Science.gov (United States)

    Hamerlinck, J. D.

    2016-04-01

    In 1995, the concept of ‘naive geography’ was formally introduced as an area of cognitive geographic information science representing ‘the body of knowledge that people have about the surrounding geographic world’ and reflecting ‘the way people think and reason about geographic space and time, both consciously and subconsciously’. The need to incorporate such commonsense knowledge and reasoning into design of geospatial technologies was identified but faced challenges in formalizing these relationships and processes in software implementation. Ten years later, the Google Earth geobrowser was released, marking the beginning of a new era of open access to, and application of, geographic data and information in society. Fast-forward to today, and the opportunity presents itself to take stock of twenty years of naive geography and a decade of the ubiquitous virtual globe. This paper introduces an ongoing research effort to explore the integration of naive (or commonsense) geography concepts in the Google Earth geobrowser virtual globe and their possible impact on Google Earth's usability, utility, and usefulness. A multi-phase methodology is described, combining usability reviews and usability testing with use-case scenarios involving the U.S.-Canadian Yellowstone to Yukon Initiative. Initial progress on a usability review combining cognitive walkthroughs and heuristics evaluation is presented.

  19. Project MAGE: Google Earth used for Geo-, Paleo- and Rock magnetism

    Science.gov (United States)

    Hatakeyama, T.

    2009-12-01

    We have developed new productions for 3D visualization of geomagnetic field (magnetic field lines and observed components on the surface of the Earth) with using Google Earth, a free GIS platform software. It has been hard to realize visualizing 3D vectors without expensive hardwares and softwares. Our work focuses not only on current field, but also, especially on the paleofields and the geomagnetic secular variations derived from paleomagnetic results. Furthermore, we have made a new proposal of usage of Google Earth that direction data in paleomagnetism and rock magnetism are plotted on the Earth as a unit sphere. It is expected that our products will contribute to researchers' inspirations, educational opportunities and popularization of geomagnetism. Now we release magnetic lines rendering (1) current field (2) a centurial secular variation (3) secular variation of past 7000 years (4) field model during the reversal transition and (5) example plot of I-D sphere. Since April 2007, our products, KML files, have been released on the website http://peach.center.ous.ac.jp/mage/ for free.

  20. Planetary-Scale Geospatial Data Analysis Techniques in Google's Earth Engine Platform (Invited)

    Science.gov (United States)

    Hancher, M.

    2013-12-01

    Geoscientists have more and more access to new tools for large-scale computing. With any tool, some tasks are easy and other tasks hard. It is natural to look to new computing platforms to increase the scale and efficiency of existing techniques, but there is a more exiting opportunity to discover and develop a new vocabulary of fundamental analysis idioms that are made easy and effective by these new tools. Google's Earth Engine platform is a cloud computing environment for earth data analysis that combines a public data catalog with a large-scale computational facility optimized for parallel processing of geospatial data. The data catalog includes a nearly complete archive of scenes from Landsat 4, 5, 7, and 8 that have been processed by the USGS, as well as a wide variety of other remotely-sensed and ancillary data products. Earth Engine supports a just-in-time computation model that enables real-time preview during algorithm development and debugging as well as during experimental data analysis and open-ended data exploration. Data processing operations are performed in parallel across many computers in Google's datacenters. The platform automatically handles many traditionally-onerous data management tasks, such as data format conversion, reprojection, resampling, and associating image metadata with pixel data. Early applications of Earth Engine have included the development of Google's global cloud-free fifteen-meter base map and global multi-decadal time-lapse animations, as well as numerous large and small experimental analyses by scientists from a range of academic, government, and non-governmental institutions, working in a wide variety of application areas including forestry, agriculture, urban mapping, and species habitat modeling. Patterns in the successes and failures of these early efforts have begun to emerge, sketching the outlines of a new set of simple and effective approaches to geospatial data analysis.

  1. Visualization of High-Resolution LiDAR Topography in Google Earth

    Science.gov (United States)

    Crosby, C. J.; Nandigam, V.; Arrowsmith, R.; Blair, J. L.

    2009-12-01

    The growing availability of high-resolution LiDAR (Light Detection And Ranging) topographic data has proven to be revolutionary for Earth science research. These data allow scientists to study the processes acting on the Earth’s surfaces at resolutions not previously possible yet essential for their appropriate representation. In addition to their utility for research, the data have also been recognized as powerful tools for communicating earth science concepts for education and outreach purposes. Unfortunately, the massive volume of data produced by LiDAR mapping technology can be a barrier to their use. To facilitate access to these powerful data for research and educational purposes, we have been exploring the use of Keyhole Markup Language (KML) and Google Earth to deliver LiDAR-derived visualizations. The OpenTopography Portal (http://www.opentopography.org/) is a National Science Foundation-funded facility designed to provide access to Earth science-oriented LiDAR data. OpenTopography hosts a growing collection of LiDAR data for a variety of geologic domains, including many of the active faults in the western United States. We have found that the wide spectrum of LiDAR users have variable scientific applications, computing resources, and technical experience and thus require a data distribution system that provides various levels of access to the data. For users seeking a synoptic view of the data, and for education and outreach purposes, delivering full-resolution images derived from LiDAR topography into the Google Earth virtual globe is powerful. The virtual globe environment provides a freely available and easily navigated viewer and enables quick integration of the LiDAR visualizations with imagery, geographic layers, and other relevant data available in KML format. Through region-dependant network linked KML, OpenTopography currently delivers over 20 GB of LiDAR-derived imagery to users via simple, easily downloaded KMZ files hosted at the Portal

  2. An overview of the web-based Google Earth coincident imaging tool

    Science.gov (United States)

    Chander, Gyanesh; Kilough, B.; Gowda, S.

    2010-01-01

    The Committee on Earth Observing Satellites (CEOS) Visualization Environment (COVE) tool is a browser-based application that leverages Google Earth web to display satellite sensor coverage areas. The analysis tool can also be used to identify near simultaneous surface observation locations for two or more satellites. The National Aeronautics and Space Administration (NASA) CEOS System Engineering Office (SEO) worked with the CEOS Working Group on Calibration and Validation (WGCV) to develop the COVE tool. The CEOS member organizations are currently operating and planning hundreds of Earth Observation (EO) satellites. Standard cross-comparison exercises between multiple sensors to compare near-simultaneous surface observations and to identify corresponding image pairs are time-consuming and labor-intensive. COVE is a suite of tools that have been developed to make such tasks easier.

  3. 3D Online Visualization and Synergy of NASA A-Train Data Using Google Earth

    Science.gov (United States)

    Chen, Aijun; Kempler, Steven; Leptoukh, Gregory; Smith, Peter

    2010-01-01

    This poster presentation reviews the use of Google Earth to assist in three dimensional online visualization of NASA Earth science and geospatial data. The NASA A-Train satellite constellation is a succession of seven sun-synchronous orbit satellites: (1) OCO-2 (Orbiting Carbon Observatory) (will launch in Feb. 2013), (2) GCOM-W1 (Global Change Observation Mission), (3) Aqua, (4) CloudSat, (5) CALIPSO (Cloud-Aerosol Lidar & Infrared Pathfinder Satellite Observations), (6) Glory, (7) Aura. The A-Train makes possible synergy of information from multiple resources, so more information about earth condition is obtained from the combined observations than would be possible from the sum of the observations taken independently

  4. Geolokit: An interactive tool for visualising and exploring geoscientific data in Google Earth

    Science.gov (United States)

    Triantafyllou, Antoine; Watlet, Arnaud; Bastin, Christophe

    2017-10-01

    Virtual globes have been developed to showcase different types of data combining a digital elevation model and basemaps of high resolution satellite imagery. Hence, they became a standard to share spatial data and information, although they suffer from a lack of toolboxes dedicated to the formatting of large geoscientific dataset. From this perspective, we developed Geolokit: a free and lightweight software that allows geoscientists - and every scientist working with spatial data - to import their data (e.g., sample collections, structural geology, cross-sections, field pictures, georeferenced maps), to handle and to transcribe them to Keyhole Markup Language (KML) files. KML files are then automatically opened in the Google Earth virtual globe and the spatial data accessed and shared. Geolokit comes with a large number of dedicated tools that can process and display: (i) multi-points data, (ii) scattered data interpolations, (iii) structural geology features in 2D and 3D, (iv) rose diagrams, stereonets and dip-plunge polar histograms, (v) cross-sections and oriented rasters, (vi) georeferenced field pictures, (vii) georeferenced maps and projected gridding. Therefore, together with Geolokit, Google Earth becomes not only a powerful georeferenced data viewer but also a stand-alone work platform. The toolbox (available online at http://www.geolokit.org) is written in Python, a high-level, cross-platform programming language and is accessible through a graphical user interface, designed to run in parallel with Google Earth, through a workflow that requires no additional third party software. Geolokit features are demonstrated in this paper using typical datasets gathered from two case studies illustrating its applicability at multiple scales of investigation: a petro-structural investigation of the Ile d'Yeu orthogneissic unit (Western France) and data collection of the Mariana oceanic subduction zone (Western Pacific).

  5. Google Earth's derived digital elevation model: A comparative assessment with Aster and SRTM data

    International Nuclear Information System (INIS)

    Rusli, N; Majid, M R; Din, A H M

    2014-01-01

    This paper presents a statistical analysis showing additional evidence that Digital Elevation Model (DEM) derived from Google Earth is commendable and has a good correlation with ASTER (Advanced Space-borne Thermal Emission and Reflection Radiometer) and SRTM (Shuttle Radar Topography Mission) elevation data. The accuracy of DEM elevation points from Google Earth was compared against that of DEMs from ASTER and SRTM for flat, hilly and mountainous sections of a pre-selected rural watershed. For each section, a total of 5,000 DEM elevation points were extracted as samples from each type of DEM data. The DEM data from Google Earth and SRTM for flat and hilly sections are strongly correlated with the R 2 of 0.791 and 0.891 respectively. Even stronger correlation is shown for the mountainous section where the R 2 values between Google Earth's DEM and ASTER's and between Google Earth's DEM and SRTM's DEMs are respectively 0.917 and 0.865. Further accuracy testing was carried out by utilising the DEM dataset to delineate Muar River's watershed boundary using ArcSWAT2009, a hydrological modelling software. The result shows that the percentage differences of the watershed size delineated from Google Earth's DEM compared to those derived from Department of Irrigation and Drainage's data (using 20m-contour topographic map), ASTER and SRTM data are 9.6%, 10.6%, and 7.6% respectively. It is therefore justified to conclude that the DEM derived from Google Earth is relatively as acceptable as DEMs from other sources

  6. Information Technology Infusion Case Study: Integrating Google Earth(Trademark) into the A-Train Data Depot

    Science.gov (United States)

    Smith, Peter; Kempler, Steven; Leptoukh, Gregory; Chen, Aijun

    2010-01-01

    This poster paper represents the NASA funded project that was to employ the latest three dimensional visualization technology to explore and provide direct data access to heterogeneous A-Train datasets. Google Earth (tm) provides foundation for organizing, visualizing, publishing and synergizing Earth science data .

  7. Google Earth Mapping Exercises for Structural Geology Students--A Promising Intervention for Improving Penetrative Visualization Ability

    Science.gov (United States)

    Giorgis, Scott

    2015-01-01

    Three-dimensional thinking skills are extremely useful for geoscientists, and at the undergraduate level, these skills are often emphasized in structural geology courses. Google Earth is a powerful tool for visualizing the three-dimensional nature of data collected on the surface of Earth. The results of a 5 y pre- and posttest study of the…

  8. Google-Earth Based Visualizations for Environmental Flows and Pollutant Dispersion in Urban Areas

    Directory of Open Access Journals (Sweden)

    Daoming Liu

    2017-03-01

    Full Text Available In the present study, we address the development and application of an efficient tool for conversion of results obtained by an integrated computational fluid dynamics (CFD and computational reaction dynamics (CRD approach and their visualization in the Google Earth. We focus on results typical for environmental fluid mechanics studies at a city scale that include characteristic wind flow patterns and dispersion of reactive scalars. This is achieved by developing a code based on the Java language, which converts the typical four-dimensional structure (spatial and temporal dependency of data results in the Keyhole Markup Language (KML format. The visualization techniques most often used are revisited and implemented into the conversion tool. The potential of the tool is demonstrated in a case study of smog formation due to an intense traffic emission in Rotterdam (The Netherlands. It is shown that the Google Earth can provide a computationally efficient and user-friendly means of data representation. This feature can be very useful for visualization of pollution at street levels, which is of great importance for the city residents. Various meteorological and traffic emissions can be easily visualized and analyzed, providing a powerful, user-friendly tool for traffic regulations and urban climate adaptations.

  9. Web GIS in practice X: a Microsoft Kinect natural user interface for Google Earth navigation.

    Science.gov (United States)

    Boulos, Maged N Kamel; Blanchard, Bryan J; Walker, Cory; Montero, Julio; Tripathy, Aalap; Gutierrez-Osuna, Ricardo

    2011-07-26

    This paper covers the use of depth sensors such as Microsoft Kinect and ASUS Xtion to provide a natural user interface (NUI) for controlling 3-D (three-dimensional) virtual globes such as Google Earth (including its Street View mode), Bing Maps 3D, and NASA World Wind. The paper introduces the Microsoft Kinect device, briefly describing how it works (the underlying technology by PrimeSense), as well as its market uptake and application potential beyond its original intended purpose as a home entertainment and video game controller. The different software drivers available for connecting the Kinect device to a PC (Personal Computer) are also covered, and their comparative pros and cons briefly discussed. We survey a number of approaches and application examples for controlling 3-D virtual globes using the Kinect sensor, then describe Kinoogle, a Kinect interface for natural interaction with Google Earth, developed by students at Texas A&M University. Readers interested in trying out the application on their own hardware can download a Zip archive (included with the manuscript as additional files 1, 2, &3) that contains a 'Kinnogle installation package for Windows PCs'. Finally, we discuss some usability aspects of Kinoogle and similar NUIs for controlling 3-D virtual globes (including possible future improvements), and propose a number of unique, practical 'use scenarios' where such NUIs could prove useful in navigating a 3-D virtual globe, compared to conventional mouse/3-D mouse and keyboard-based interfaces.

  10. Near real-time qualitative monitoring of lake water chlorophyll globally using GoogleEarth Engine

    Science.gov (United States)

    Zlinszky, András; Supan, Peter; Koma, Zsófia

    2017-04-01

    Monitoring ocean chlorophyll and suspended sediment has been made possible using optical satellite imaging, and has contributed immensely to our understanding of the Earth and its climate. However, lake water quality monitoring has limitations due to the optical complexity of shallow, sediment- and organic matter-laden waters. Meanwhile, timely and detailed information on basic lake water quality parameters would be essential for sustainable management of inland waters. Satellite-based remote sensing can deliver area-covering, high resolution maps of basic lake water quality parameters, but scientific application of these datasets for lake monitoring has been hindered by limitations to calibration and accuracy evaluation, and therefore access to such data has been the privilege of scientific users. Nevertheless, since for many inland waters satellite imaging is the only source of monitoring data, we believe it is urgent to make map products of chlorophyll and suspended sediment concentrations available to a wide range of users. Even if absolute accuracy can not be validated, patterns, processes and qualitative information delivered by such datasets in near-real time can act as an early warning system, raise awareness to water quality processes and serve education, in addition to complementing local monitoring activities. By making these datasets openly available on the internet through an easy to use framework, dialogue between stakeholders, management and governance authorities can be facilitated. We use GoogleEarthEngine to access and process archive and current satellite data. GoogleEarth Engine is a development and visualization framework that provides access to satellite datasets and processing capacity for analysis at the Petabyte scale. Based on earlier investigations, we chose the fluorescence line height index to represent water chlorophyll concentration. This index relies on the chlorophyll fluorescence peak at 680 nm, and has been tested for open ocean

  11. Engaging Middle School Students with Google Earth Technology to Analyze Ocean Cores as Evidence for Sea Floor Spreading

    Science.gov (United States)

    Prouhet, T.; Cook, J.

    2006-12-01

    Google Earth's ability to captivate students' attention, its ease of use, and its high quality images give it the potential to be an extremely effective tool for earth science educators. The unique properties of Google Earth satisfy a growing demand to incorporate technology in science instruction. Google Earth is free and relatively easy to use unlike some other visualization software. Students often have difficulty conceptualizing and visualizing earth systems, such as deep-ocean basins, because of the complexity and dynamic nature of the processes associated with them (e.g. plate tectonics). Google Earth's combination of aerial photography, satellite images and remote sensing data brings a sense of realism to science concepts. The unobstructed view of the ocean floor provided by this technology illustrates three-dimensional subsurface features such as rift valleys, subduction zones, and sea-mounts enabling students to better understand the seafloor's dynamic nature. Students will use Google Earth to navigate the sea floor, and examine Deep Sea Drilling Project (DSDP) core locations the from the Glomar Challenger Leg 3 expedition. The lesson to be implemented was expanded upon and derived from the Joint Oceanographic Insitute (JOI) Learning exercise, Nannofossils Reveal Seafloor Spreading. In addition, students take on the role of scientists as they graph and analyze paleontological data against the distance from the Mid Ocean Ridge. The integration of ocean core data in this three-dimensional view aids students' ability to draw and communicate valid conclusions about their scientific observations. A pre and post survey will be given to examine attitudes, self-efficacy, achievement and content mastery to a sample of approximately 300 eighth grade science students. The hypothesis is that the integration of Google Earth will significantly improve all areas of focus as mentioned above.

  12. A Web-based Google-Earth Coincident Imaging Tool for Satellite Calibration and Validation

    Science.gov (United States)

    Killough, B. D.; Chander, G.; Gowda, S.

    2009-12-01

    The Group on Earth Observations (GEO) is coordinating international efforts to build a Global Earth Observation System of Systems (GEOSS) to meet the needs of its nine “Societal Benefit Areas”, of which the most demanding, in terms of accuracy, is climate. To accomplish this vision, satellite on-orbit and ground-based data calibration and validation (Cal/Val) of Earth observation measurements are critical to our scientific understanding of the Earth system. Existing tools supporting space mission Cal/Val are often developed for specific campaigns or events with little desire for broad application. This paper describes a web-based Google-Earth based tool for the calculation of coincident satellite observations with the intention to support a diverse international group of satellite missions to improve data continuity, interoperability and data fusion. The Committee on Earth Observing Satellites (CEOS), which includes 28 space agencies and 20 other national and international organizations, are currently operating and planning over 240 Earth observation satellites in the next 15 years. The technology described here will better enable the use of multiple sensors to promote increased coordination toward a GEOSS. The CEOS Systems Engineering Office (SEO) and the Working Group on Calibration and Validation (WGCV) support the development of the CEOS Visualization Environment (COVE) tool to enhance international coordination of data exchange, mission planning and Cal/Val events. The objective is to develop a simple and intuitive application tool that leverages the capabilities of Google-Earth web to display satellite sensor coverage areas and for the identification of coincident scene locations along with dynamic menus for flexibility and content display. Key features and capabilities include user-defined evaluation periods (start and end dates) and regions of interest (rectangular areas) and multi-user collaboration. Users can select two or more CEOS missions from a

  13. The ethics of Google Earth: crossing thresholds from spatial data to landscape visualisation.

    Science.gov (United States)

    Sheppard, Stephen R J; Cizek, Petr

    2009-05-01

    'Virtual globe' software systems such as Google Earth are growing rapidly in popularity as a way to visualise and share 3D environmental data. Scientists and environmental professionals, many of whom are new to 3D modeling and visual communications, are beginning routinely to use such techniques in their work. While the appeal of these techniques is evident, with unprecedented opportunities for public access to data and collaborative engagement over the web, are there nonetheless risks in their widespread usage when applied in areas of the public interest such as planning and policy-making? This paper argues that the Google Earth phenomenon, which features realistic imagery of places, cannot be dealt with only as a question of spatial data and geographic information science. The virtual globe type of visualisation crosses several key thresholds in communicating scientific and environmental information, taking it well beyond the realm of conventional spatial data and geographic information science, and engaging more complex dimensions of human perception and aesthetic preference. The realism, perspective views, and social meanings of the landscape visualisations embedded in virtual globes invoke not only cognition but also emotional and intuitive responses, with associated issues of uncertainty, credibility, and bias in interpreting the imagery. This paper considers the types of risks as well as benefits that may exist with participatory uses of virtual globes by experts and lay-people. It is illustrated with early examples from practice and relevant themes from the literature in landscape visualisation and related disciplines such as environmental psychology and landscape planning. Existing frameworks and principles for the appropriate use of environmental visualisation methods are applied to the special case of widely accessible, realistic 3D and 4D visualisation systems such as Google Earth, in the context of public awareness-building and agency decision

  14. Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing.

    Science.gov (United States)

    Midekisa, Alemayehu; Holl, Felix; Savory, David J; Andrade-Pacheco, Ricardo; Gething, Peter W; Bennett, Adam; Sturrock, Hugh J W

    2017-01-01

    Quantifying and monitoring the spatial and temporal dynamics of the global land cover is critical for better understanding many of the Earth's land surface processes. However, the lack of regularly updated, continental-scale, and high spatial resolution (30 m) land cover data limit our ability to better understand the spatial extent and the temporal dynamics of land surface changes. Despite the free availability of high spatial resolution Landsat satellite data, continental-scale land cover mapping using high resolution Landsat satellite data was not feasible until now due to the need for high-performance computing to store, process, and analyze this large volume of high resolution satellite data. In this study, we present an approach to quantify continental land cover and impervious surface changes over a long period of time (15 years) using high resolution Landsat satellite observations and Google Earth Engine cloud computing platform. The approach applied here to overcome the computational challenges of handling big earth observation data by using cloud computing can help scientists and practitioners who lack high-performance computational resources.

  15. A virtual tour of geological heritage: Valourising geodiversity using Google Earth and QR code

    Science.gov (United States)

    Martínez-Graña, A. M.; Goy, J. L.; Cimarra, C. A.

    2013-12-01

    When making land-use plans, it is necessary to inventory and catalogue the geological heritage and geodiversity of a site to establish an apolitical conservation protection plan to meet the educational and social needs of society. New technologies make it possible to create virtual databases using virtual globes - e.g., Google Earth - and other personal-use geomatics applications (smartphones, tablets, PDAs) for accessing geological heritage information in “real time” for scientific, educational, and cultural purposes via a virtual geological itinerary. Seventeen mapped and georeferenced geosites have been created in Keyhole Markup Language for use in map layers used in geological itinerary stops for different applications. A virtual tour has been developed for Las Quilamas Natural Park, which is located in the Spanish Central System, using geological layers and topographic and digital terrain models that can be overlaid in a 3D model. The Google Earth application was used to import the geosite placemarks. For each geosite, a tab has been developed that shows a description of the geology with photographs and diagrams and that evaluates the scientific, educational, and tourism quality. Augmented reality allows the user to access these georeferenced thematic layers and overlay data, images, and graphics in real time on their mobile devices. These virtual tours can be incorporated into subject guides designed by public. Seven educational and interpretive panels describing some of the geosites were designed and tagged with a QR code that could be printed at each stop or in the printed itinerary. These QR codes can be scanned with the camera found on most mobile devices, and video virtual tours can be viewed on these devices. The virtual tour of the geological heritage can be used to show tourists the geological history of the Las Quilamas Natural Park using new geomatics technologies (virtual globes, augmented reality, and QR codes).

  16. GeoDash: Assisting Visual Image Interpretation in Collect Earth Online by Leveraging Big Data on Google Earth Engine

    Science.gov (United States)

    Markert, Kel; Ashmall, William; Johnson, Gary; Saah, David; Mollicone, Danilo; Diaz, Alfonso Sanchez-Paus; Anderson, Eric; Flores, Africa; Griffin, Robert

    2017-01-01

    Collect Earth Online (CEO) is a free and open online implementation of the FAO Collect Earth system for collaboratively collecting environmental data through the visual interpretation of Earth observation imagery. The primary collection mechanism in CEO is human interpretation of land surface characteristics in imagery served via Web Map Services (WMS). However, interpreters may not have enough contextual information to classify samples by only viewing the imagery served via WMS, be they high resolution or otherwise. To assist in the interpretation and collection processes in CEO, SERVIR, a joint NASA-USAID initiative that brings Earth observations to improve environmental decision making in developing countries, developed the GeoDash system, an embedded and critical component of CEO. GeoDash leverages Google Earth Engine (GEE) by allowing users to set up custom browser-based widgets that pull from GEE's massive public data catalog. These widgets can be quick looks of other satellite imagery, time series graphs of environmental variables, and statistics panels of the same. Users can customize widgets with any of GEE's image collections, such as the historical Landsat collection with data available since the 1970s, select date ranges, image stretch parameters, graph characteristics, and create custom layouts, all on-the-fly to support plot interpretation in CEO. This presentation focuses on the implementation and potential applications, including the back-end links to GEE and the user interface with custom widget building. GeoDash takes large data volumes and condenses them into meaningful, relevant information for interpreters. While designed initially with national and global forest resource assessments in mind, the system will complement disaster assessments, agriculture management, project monitoring and evaluation, and more.

  17. GeoDash: Assisting Visual Image Interpretation in Collect Earth Online by Leveraging Big Data on Google Earth Engine

    Science.gov (United States)

    Markert, K. N.; Ashmall, W.; Johnson, G.; Saah, D. S.; Anderson, E.; Flores Cordova, A. I.; Díaz, A. S. P.; Mollicone, D.; Griffin, R.

    2017-12-01

    Collect Earth Online (CEO) is a free and open online implementation of the FAO Collect Earth system for collaboratively collecting environmental data through the visual interpretation of Earth observation imagery. The primary collection mechanism in CEO is human interpretation of land surface characteristics in imagery served via Web Map Services (WMS). However, interpreters may not have enough contextual information to classify samples by only viewing the imagery served via WMS, be they high resolution or otherwise. To assist in the interpretation and collection processes in CEO, SERVIR, a joint NASA-USAID initiative that brings Earth observations to improve environmental decision making in developing countries, developed the GeoDash system, an embedded and critical component of CEO. GeoDash leverages Google Earth Engine (GEE) by allowing users to set up custom browser-based widgets that pull from GEE's massive public data catalog. These widgets can be quick looks of other satellite imagery, time series graphs of environmental variables, and statistics panels of the same. Users can customize widgets with any of GEE's image collections, such as the historical Landsat collection with data available since the 1970s, select date ranges, image stretch parameters, graph characteristics, and create custom layouts, all on-the-fly to support plot interpretation in CEO. This presentation focuses on the implementation and potential applications, including the back-end links to GEE and the user interface with custom widget building. GeoDash takes large data volumes and condenses them into meaningful, relevant information for interpreters. While designed initially with national and global forest resource assessments in mind, the system will complement disaster assessments, agriculture management, project monitoring and evaluation, and more.

  18. Case study of visualizing global user download patterns using Google Earth and NASA World Wind

    Energy Technology Data Exchange (ETDEWEB)

    Zong, Ziliang; Job, Joshua; Zhang, Xuesong; Nijim, Mais; Qin, Xiao

    2012-10-09

    Geo-visualization is significantly changing the way we view spatial data and discover information. On the one hand, a large number of spatial data are generated every day. On the other hand, these data are not well utilized due to the lack of free and easily used data-visualization tools. This becomes even worse when most of the spatial data remains in the form of plain text such as log files. This paper describes a way of visualizing massive plain-text spatial data at no cost by utilizing Google Earth and NASAWorld Wind. We illustrate our methods by visualizing over 170,000 global download requests for satellite images maintained by the Earth Resources Observation and Science (EROS) Center of U.S. Geological Survey (USGS). Our visualization results identify the most popular satellite images around the world and discover the global user download patterns. The benefits of this research are: 1. assisting in improving the satellite image downloading services provided by USGS, and 2. providing a proxy for analyzing the hot spot areas of research. Most importantly, our methods demonstrate an easy way to geovisualize massive textual spatial data, which is highly applicable to mining spatially referenced data and information on a wide variety of research domains (e.g., hydrology, agriculture, atmospheric science, natural hazard, and global climate change).

  19. Global Analysis of River Planform Change using the Google Earth Engine

    Science.gov (United States)

    Bryk, A.; Dietrich, W. E.; Gorelick, N.; Sargent, R.; Braudrick, C. A.

    2014-12-01

    Geomorphologists have historically tracked river dynamics using a combination of maps, aerial photographs, and the stratigraphic record. Although stratigraphic records can extend into deep time, maps and aerial photographs often confine our record of change to sparse measurements over the last ~80 years and in some cases much less time. For the first time Google's Earth Engine (GEE) cloud based platform allows researchers the means to analyze quantitatively the pattern and pace of river channel change over the last 30 years with high temporal resolution across the entire planet. The GEE provides an application programing interface (API) that enables quantitative analysis of various data sets including the entire Landsat L1T archive. This allows change detection for channels wider than about 150 m over 30 years of successive, georeferenced imagery. Qualitatively, it becomes immediately evident that the pace of channel morphodynamics for similar planforms varies by orders of magnitude across the planet and downstream along individual rivers. To quantify these rates of change and to explore their controls we have developed methods for differentiating channels from floodplain along large alluvial rivers. We introduce a new metric of morphodynamics: the ratio of eroded area to channel area per unit time, referred to as "M". We also keep track of depositional areas resulting from channel shifting. To date our quantitative analysis has focused on rivers in the Andean foreland. Our analysis shows channel bank erosion rates, M, varies by orders of magnitude for these rivers, from 0 to ~0.25 yr-1, yet these rivers have essentially identical curvature and sinuosity and are visually indistinguishable. By tracking both bank paths in time, we find that, for some meandering rivers, a significant fraction of new floodplain is produced through outer-bank accretion rather than point bar deposition. This process is perhaps more important in generating floodplain stratigraphy than

  20. Web GIS in practice X: a Microsoft Kinect natural user interface for Google Earth navigation

    Directory of Open Access Journals (Sweden)

    Tripathy Aalap

    2011-07-01

    Full Text Available Abstract This paper covers the use of depth sensors such as Microsoft Kinect and ASUS Xtion to provide a natural user interface (NUI for controlling 3-D (three-dimensional virtual globes such as Google Earth (including its Street View mode, Bing Maps 3D, and NASA World Wind. The paper introduces the Microsoft Kinect device, briefly describing how it works (the underlying technology by PrimeSense, as well as its market uptake and application potential beyond its original intended purpose as a home entertainment and video game controller. The different software drivers available for connecting the Kinect device to a PC (Personal Computer are also covered, and their comparative pros and cons briefly discussed. We survey a number of approaches and application examples for controlling 3-D virtual globes using the Kinect sensor, then describe Kinoogle, a Kinect interface for natural interaction with Google Earth, developed by students at Texas A&M University. Readers interested in trying out the application on their own hardware can download a Zip archive (included with the manuscript as additional files 1, 2, &3 that contains a 'Kinnogle installation package for Windows PCs'. Finally, we discuss some usability aspects of Kinoogle and similar NUIs for controlling 3-D virtual globes (including possible future improvements, and propose a number of unique, practical 'use scenarios' where such NUIs could prove useful in navigating a 3-D virtual globe, compared to conventional mouse/3-D mouse and keyboard-based interfaces. Additional file 1 Installation package for Kinoogle (part 1 of 3. Compressed (zipped archive containing Kinoogle's installation package for Microsoft Windows operating systems. Download and unzip the contents of Additional file 1, Additional file 2, and Additional file 3 to the same hard drive location, then run 'Additional_file.part1.exe' from that location. Click here for file Additional file 2 Installation package for Kinoogle (part 2

  1. On the use of wavelet for extracting feature patterns from Multitemporal google earth satellite data sets

    Science.gov (United States)

    Lasaponara, R.

    2012-04-01

    The great amount of multispectral VHR satellite images, even available free of charge in Google earth has opened new strategic challenges in the field of remote sensing for archaeological studies. These challenges substantially deal with: (i) the strategic exploitation of satellite data as much as possible, (ii) the setting up of effective and reliable automatic and/or semiautomatic data processing strategies and (iii) the integration with other data sources from documentary resources to the traditional ground survey, historical documentation, geophysical prospection, etc. VHR satellites provide high resolution data which can improve knowledge on past human activities providing precious qualitative and quantitative information developed to such an extent that currently they share many of the physical characteristics of aerial imagery. This makes them ideal for investigations ranging from a local to a regional scale (see. for example, Lasaponara and Masini 2006a,b, 2007a, 2011; Masini and Lasaponara 2006, 2007, Sparavigna, 2010). Moreover, satellite data are still the only data source for research performed in areas where aerial photography is restricted because of military or political reasons. Among the main advantages of using satellite remote sensing compared to traditional field archaeology herein we briefly focalize on the use of wavelet data processing for enhancing google earth satellite data with particular reference to multitemporal datasets. Study areas selected from Southern Italy, Middle East and South America are presented and discussed. Results obtained point out the use of automatic image enhancement can successfully applied as first step of supervised classification and intelligent data analysis for semiautomatic identification of features of archaeological interest. Reference Lasaponara R, Masini N (2006a) On the potential of panchromatic and multispectral Quickbird data for archaeological prospection. Int J Remote Sens 27: 3607-3614. Lasaponara R

  2. Implementation of the BDFGEOTHERM Database (Geothermal Fluids in Switzerland) on Google Earth - Final report

    Energy Technology Data Exchange (ETDEWEB)

    Sonney, R.; Vuataz, F.-D.; Cattin, S.

    2008-12-15

    The database BDFGeotherm compiled in 2007 on ACCESS code was modified to improve its availability and attractivity by using Google Earth free software and the CREGE web site. This database allows gathering existing geothermal data, generally widely dispersed and often difficult to reach, towards a user's friendly tool. Downloading the file 'BDFGeotherm.kmz' from the CREGE web site makes possible to visualize a total of 84 geothermal sites from Switzerland and neighbouring areas. Each one is represented with a pinpoint of different colour, for different temperature ranges. A large majority of sites is located in the northern part of the Jura Mountain and in the upper Rhone Valley. General information about water use, geology, flow rate, temperature and mineralization are given in a small window by clicking on the desired pinpoint. Moreover, two links to an Internet address are available for each site in each window, allowing returning to the CREGE web site and providing more details on each sampling point such as: geographical description, reservoir geology, hydraulics, hydrochemistry, isotopes and geothermal parameters. For a limited number of sites, photos and a geological log can be viewed and exported. (author)

  3. Identification of Village Building via Google Earth Images and Supervised Machine Learning Methods

    Directory of Open Access Journals (Sweden)

    Zhiling Guo

    2016-03-01

    Full Text Available In this study, a method based on supervised machine learning is proposed to identify village buildings from open high-resolution remote sensing images. We select Google Earth (GE RGB images to perform the classification in order to examine its suitability for village mapping, and investigate the feasibility of using machine learning methods to provide automatic classification in such fields. By analyzing the characteristics of GE images, we design different features on the basis of two kinds of supervised machine learning methods for classification: adaptive boosting (AdaBoost and convolutional neural networks (CNN. To recognize village buildings via their color and texture information, the RGB color features and a large number of Haar-like features in a local window are utilized in the AdaBoost method; with multilayer trained networks based on gradient descent algorithms and back propagation, CNN perform the identification by mining deeper information from buildings and their neighborhood. Experimental results from the testing area at Savannakhet province in Laos show that our proposed AdaBoost method achieves an overall accuracy of 96.22% and the CNN method is also competitive with an overall accuracy of 96.30%.

  4. Automated Extraction of the Archaeological Tops of Qanat Shafts from VHR Imagery in Google Earth

    Directory of Open Access Journals (Sweden)

    Lei Luo

    2014-12-01

    Full Text Available Qanats in northern Xinjiang of China provide valuable information for agriculturists and anthropologists who seek fundamental understanding of the distribution of qanat water supply systems with regard to water resource utilization, the development of oasis agriculture, and eventually climate change. Only the tops of qanat shafts (TQSs, indicating the course of the qanats, can be observed from space, and their circular archaeological traces can also be seen in very high resolution imagery in Google Earth. The small size of the TQSs, vast search regions, and degraded features make manually extracting them from remote sensing images difficult and costly. This paper proposes an automated TQS extraction method that adopts mathematical morphological processing methods before an edge detecting module is used in the circular Hough transform approach. The accuracy assessment criteria for the proposed method include: (i extraction percentage (E = 95.9%, branch factor (B = 0 and quality percentage (Q = 95.9% in Site 1; and (ii extraction percentage (E = 83.4%, branch factor (B = 0.058 and quality percentage (Q = 79.5% in Site 2. Compared with the standard circular Hough transform, the quality percentages (Q of our proposed method were improved to 95.9% and 79.5% from 86.3% and 65.8% in test sites 1 and 2, respectively. The results demonstrate that wide-area discovery and mapping can be performed much more effectively based on our proposed method.

  5. Development of a Web-Based Visualization Platform for Climate Research Using Google Earth

    Science.gov (United States)

    Sun, Xiaojuan; Shen, Suhung; Leptoukh, Gregory G.; Wang, Panxing; Di, Liping; Lu, Mingyue

    2011-01-01

    Recently, it has become easier to access climate data from satellites, ground measurements, and models from various data centers, However, searching. accessing, and prc(essing heterogeneous data from different sources are very tim -consuming tasks. There is lack of a comprehensive visual platform to acquire distributed and heterogeneous scientific data and to render processed images from a single accessing point for climate studies. This paper. documents the design and implementation of a Web-based visual, interoperable, and scalable platform that is able to access climatological fields from models, satellites, and ground stations from a number of data sources using Google Earth (GE) as a common graphical interface. The development is based on the TCP/IP protocol and various data sharing open sources, such as OPeNDAP, GDS, Web Processing Service (WPS), and Web Mapping Service (WMS). The visualization capability of integrating various measurements into cE extends dramatically the awareness and visibility of scientific results. Using embedded geographic information in the GE, the designed system improves our understanding of the relationships of different elements in a four dimensional domain. The system enables easy and convenient synergistic research on a virtual platform for professionals and the general public, gr$tly advancing global data sharing and scientific research collaboration.

  6. Using Google Earth to Explore Multiple Data Sets and Plate Tectonic Concepts

    Science.gov (United States)

    Goodell, L. P.

    2015-12-01

    Google Earth (GE) offers an engaging and dynamic environment for exploration of earth science data. While GIS software offers higher-level analytical capability, it comes with a steep learning curve and complex interface that is not easy for the novice, and in many cases the instructor, to negotiate. In contrast, the intuitive interface of GE makes it easy for students to quickly become proficient in manipulating the globe and independently exploring relationships between multiple data sets at a wide range of scales. Inquiry-based, data-rich exercises have been developed for both introductory and upper-level activities including: exploration of plate boundary characteristics and relative motion across plate boundaries; determination and comparison of short-term and long-term average plate velocities; crustal strain analysis (modeled after the UNAVCO activity); and determining earthquake epicenters, body-wave magnitudes, and focal plane solutions. Used successfully in undergraduate course settings, for TA training and for professional development programs for middle and high school teachers, the exercises use the following GE data sets (with sources) that have been collected/compiled by the author and are freely available for non-commercial use: 1) tectonic plate boundaries and plate names (Bird, 2003 model); 2) real-time earthquakes (USGS); 3) 30 years of M>=5.0 earthquakes, plotted by depth (USGS); 4) seafloor age (Mueller et al., 1997, 2008); 5) location and age data for hot spot tracks (published literature); 6) Holocene volcanoes (Smithsonian Global Volcanism Program); 7) GPS station locations with links to times series (JPL, NASA, UNAVCO); 8) short-term motion vectors derived from GPS times series; 9) long-term average motion vectors derived from plate motion models (UNAVCO plate motion calculator); 10) earthquake data sets consisting of seismic station locations and links to relevant seismograms (Rapid Earthquake Viewer, USC/IRIS/DELESE).

  7. Measuring river from the cloud - River width algorithm development on Google Earth Engine

    Science.gov (United States)

    Yang, X.; Pavelsky, T.; Allen, G. H.; Donchyts, G.

    2017-12-01

    Rivers are some of the most dynamic features of the terrestrial land surface. They help distribute freshwater, nutrients, sediment, and they are also responsible for some of the greatest natural hazards. Despite their importance, our understanding of river behavior is limited at the global scale, in part because we do not have a river observational dataset that spans both time and space. Remote sensing data represent a rich, largely untapped resource for observing river dynamics. In particular, publicly accessible archives of satellite optical imagery, which date back to the 1970s, can be used to study the planview morphodynamics of rivers at the global scale. Here we present an image processing algorithm developed using the Google Earth Engine cloud-based platform, that can automatically extracts river centerlines and widths from Landsat 5, 7, and 8 scenes at 30 m resolution. Our algorithm makes use of the latest monthly global surface water history dataset and an existing Global River Width from Landsat (GRWL) dataset to efficiently extract river masks from each Landsat scene. Then a combination of distance transform and skeletonization techniques are used to extract river centerlines. Finally, our algorithm calculates wetted river width at each centerline pixel perpendicular to its local centerline direction. We validated this algorithm using in situ data estimated from 16 USGS gauge stations (N=1781). We find that 92% of the width differences are within 60 m (i.e. the minimum length of 2 Landsat pixels). Leveraging Earth Engine's infrastructure of collocated data and processing power, our goal is to use this algorithm to reconstruct the morphodynamic history of rivers globally by processing over 100,000 Landsat 5 scenes, covering from 1984 to 2013.

  8. Horizontal Positional Accuracy of Google Earth’s High-Resolution Imagery Archive

    Directory of Open Access Journals (Sweden)

    David Potere

    2008-12-01

    Full Text Available Google Earth now hosts high-resolution imagery that spans twenty percent of the Earth’s landmass and more than a third of the human population. This contemporary highresolution archive represents a significant, rapidly expanding, cost-free and largely unexploited resource for scientific inquiry. To increase the scientific utility of this archive, we address horizontal positional accuracy (georegistration by comparing Google Earth with Landsat GeoCover scenes over a global sample of 436 control points located in 109 cities worldwide. Landsat GeoCover is an orthorectified product with known absolute positional accuracy of less than 50 meters root-mean-squared error (RMSE. Relative to Landsat GeoCover, the 436 Google Earth control points have a positional accuracy of 39.7 meters RMSE (error magnitudes range from 0.4 to 171.6 meters. The control points derived from satellite imagery have an accuracy of 22.8 meters RMSE, which is significantly more accurate than the 48 control-points based on aerial photography (41.3 meters RMSE; t-test p-value < 0.01. The accuracy of control points in more-developed countries is 24.1 meters RMSE, which is significantly more accurate than the control points in developing countries (44.4 meters RMSE; t-test p-value < 0.01. These findings indicate that Google Earth highresolution imagery has a horizontal positional accuracy that is sufficient for assessing moderate-resolution remote sensing products across most of the world’s peri-urban areas.

  9. Interactive Mapping of the Planets: An Online Activity Using the Google Earth Platform

    Science.gov (United States)

    Osinski, G. R.; Gilbert, A.; Harrison, T. N.; Mader, M. M.; Shankar, B.; Tornabene, L. L.

    2013-12-01

    With funding from the Natural Sciences and Engineering Research Council of Canada's PromoScience program and support from the Department of Earth Sciences at The University of Western Ontario, the Centre for Planetary Science and Exploration (CPSX) has developed a new web-based initiative called Interactive Mapping of the Planets (IMAPS). Additional components include in person school visits to deliver inquiry-based workshops, week-long summer camps, and pre-prepared impact rock lending kits, all framed around the IMAPS activity. IMAPS will is now in beta testing mode and will be demonstrated in this session. The general objective of the online activity is for participants to plan and design a rover mission to Mars based on a given mission goal - e.g., to find evidence for past water flow. The activity begins with participants receiving image-analysis training to learn about the different landforms on Mars and which ones are potentially caused by water flow. They then need to pass a short test to show they can consistently identify Martian landforms. From there, the participants choose a landing site and plan a traverse - utilizing the free Google Earth plug-in - and taking into account factors such as hazards and their sites of interest. A mission control blog will provide updates on the status of their mission and a 'choose your rover' option provides the opportunity to unlock more advanced rovers by collaborating with other scientists and rating their missions. Indeed, evaluation of missions will be done using a crowd-sourcing method. In addition to being fully accessible online, CPSX will also target primary- and secondary-school grades in which astronomy and space science is taught. Teachers in K-12 classrooms will be able to sign-up for the activity ahead of time in order to receive a workshop package, which will guide them on how to use the IMAPS online activity with their class. Teachers will be able to set up groups for their classroom so that they can

  10. Peut-on cartographier des taches urbaines à partir d’images Google Earth ?

    Directory of Open Access Journals (Sweden)

    Johanna Baro

    2014-07-01

    Full Text Available L’étude présentée ici expose les résultats d’un traitement d’images Google Earth dont le but est la cartographie des agglomérations d’Afrique de l’Ouest de plus de 500 000 habitants. Les images accessibles ne disposant pas d’informations spectrales précises (s’agissant de simples images couleur RVB, la méthodologie développée pour l’identification des agglomérations se base sur l’exploitation d’images en teintes de gris pour en extraire les caractéristiques texturales des zones densément bâties. Certaines images couvrant les agglomérations étudiées résultent de la composition en mosaïque d’images satellites acquises dans des conditions différentes. Avant toute exploitation des images, un prétraitement d’égalisation est nécessaire afin d’obtenir une vue uniforme à partir de la mosaïque. Plus précisément, il s’agit d’annuler les différences entre les luminances sur chaque morceau de mosaïque. Nous présentons ici une méthode d’égalisation inspirée de l’algorithme « Midway ». Cet algorithme a originellement été proposé pour uniformiser les luminances sur des paires d’images stéréo. Dans le cas présent, la difficulté consiste à adapter cette technique dans le cas d’images ne présentant pas strictement la même information. Le principe d’égalisation va consister à repérer et à apparier les histogrammes de zones semblables sur les sous-images composant la mosaïque. L’extraction des taches urbaines à partir des images prétraitées est ensuite réalisée par la mise en œuvre de séquences d’opérateurs de la Morphologie Mathématique. Les résultats obtenus ont été validés par une comparaison avec les agglomérations qui ont été cartographiées par photo-interprétation à partir d’images Google Earth et présentées dans la base de données Africapolis.

  11. A Google Earth-based surveillance system for schistosomiasis japonica implemented in the lower reaches of the Yangtze River, China

    Directory of Open Access Journals (Sweden)

    Sun Le-Ping

    2011-11-01

    Full Text Available Abstract Background Due to the success of the national schistosomiasis control programme in China, transmission has been sufficiently reduced in many areas to severely limit identification of areas at risk by conventional snail surveys only. In this study, we imported Google Earth technology and a Global Positioning System (GPS into the monitoring system for schistosomiasis surveillance of the banks of the Yangtze River in Jiangsu Province, China. Methods A total of 45 sites were selected and the risk was assessed monthly by water exposure of sentinel mice at these sites from May to September in 2009 and 2010. The results were assembled and broadcast via the Google Earth platform. Results The intensity of schistosomiasis transmission showed peaks of risk in June and September of 2009, while there was only one small peak in June in 2010 as the number of detected positive transmission sites dropped dramatically that year thanks to improved mollusciciding. River ports were found to be areas of particular risk, but ferry terminals and other centres of river-related activities were also problematic. Conclusions The results confirm that the surveillance system can be rapidly updated and easily maintained, which proves the Google Earth approach to be a user-friendly, inexpensive warning system for schistosomiasis risk.

  12. Multi-temporal Land Use Mapping of Coastal Wetlands Area using Machine Learning in Google Earth Engine

    Science.gov (United States)

    Farda, N. M.

    2017-12-01

    Coastal wetlands provide ecosystem services essential to people and the environment. Changes in coastal wetlands, especially on land use, are important to monitor by utilizing multi-temporal imagery. The Google Earth Engine (GEE) provides many machine learning algorithms (10 algorithms) that are very useful for extracting land use from imagery. The research objective is to explore machine learning in Google Earth Engine and its accuracy for multi-temporal land use mapping of coastal wetland area. Landsat 3 MSS (1978), Landsat 5 TM (1991), Landsat 7 ETM+ (2001), and Landsat 8 OLI (2014) images located in Segara Anakan lagoon are selected to represent multi temporal images. The input for machine learning are visible and near infrared bands, PCA band, invers PCA bands, bare soil index, vegetation index, wetness index, elevation from ASTER GDEM, and GLCM (Harralick) texture, and also polygon samples in 140 locations. There are 10 machine learning algorithms applied to extract coastal wetlands land use from Landsat imagery. The algorithms are Fast Naive Bayes, CART (Classification and Regression Tree), Random Forests, GMO Max Entropy, Perceptron (Multi Class Perceptron), Winnow, Voting SVM, Margin SVM, Pegasos (Primal Estimated sub-GrAdient SOlver for Svm), IKPamir (Intersection Kernel Passive Aggressive Method for Information Retrieval, SVM). Machine learning in Google Earth Engine are very helpful in multi-temporal land use mapping, the highest accuracy for land use mapping of coastal wetland is CART with 96.98 % Overall Accuracy using K-Fold Cross Validation (K = 10). GEE is particularly useful for multi-temporal land use mapping with ready used image and classification algorithms, and also very challenging for other applications.

  13. New Techniques for Deep Learning with Geospatial Data using TensorFlow, Earth Engine, and Google Cloud Platform

    Science.gov (United States)

    Hancher, M.

    2017-12-01

    Recent years have seen promising results from many research teams applying deep learning techniques to geospatial data processing. In that same timeframe, TensorFlow has emerged as the most popular framework for deep learning in general, and Google has assembled petabytes of Earth observation data from a wide variety of sources and made them available in analysis-ready form in the cloud through Google Earth Engine. Nevertheless, developing and applying deep learning to geospatial data at scale has been somewhat cumbersome to date. We present a new set of tools and techniques that simplify this process. Our approach combines the strengths of several underlying tools: TensorFlow for its expressive deep learning framework; Earth Engine for data management, preprocessing, postprocessing, and visualization; and other tools in Google Cloud Platform to train TensorFlow models at scale, perform additional custom parallel data processing, and drive the entire process from a single familiar Python development environment. These tools can be used to easily apply standard deep neural networks, convolutional neural networks, and other custom model architectures to a variety of geospatial data structures. We discuss our experiences applying these and related tools to a range of machine learning problems, including classic problems like cloud detection, building detection, land cover classification, as well as more novel problems like illegal fishing detection. Our improved tools will make it easier for geospatial data scientists to apply modern deep learning techniques to their own problems, and will also make it easier for machine learning researchers to advance the state of the art of those techniques.

  14. 3D Visualization of near real-time remote-sensing observation for hurricanes field campaign using Google Earth API

    Science.gov (United States)

    Li, P.; Turk, J.; Vu, Q.; Knosp, B.; Hristova-Veleva, S. M.; Lambrigtsen, B.; Poulsen, W. L.; Licata, S.

    2009-12-01

    NASA is planning a new field experiment, the Genesis and Rapid Intensification Processes (GRIP), in the summer of 2010 to better understand how tropical storms form and develop into major hurricanes. The DC-8 aircraft and the Global Hawk Unmanned Airborne System (UAS) will be deployed loaded with instruments for measurements including lightning, temperature, 3D wind, precipitation, liquid and ice water contents, aerosol and cloud profiles. During the field campaign, both the spaceborne and the airborne observations will be collected in real-time and integrated with the hurricane forecast models. This observation-model integration will help the campaign achieve its science goals by allowing team members to effectively plan the mission with current forecasts. To support the GRIP experiment, JPL developed a website for interactive visualization of all related remote-sensing observations in the GRIP’s geographical domain using the new Google Earth API. All the observations are collected in near real-time (NRT) with 2 to 5 hour latency. The observations include a 1KM blended Sea Surface Temperature (SST) map from GHRSST L2P products; 6-hour composite images of GOES IR; stability indices, temperature and vapor profiles from AIRS and AMSU-B; microwave brightness temperature and rain index maps from AMSR-E, SSMI and TRMM-TMI; ocean surface wind vectors, vorticity and divergence of the wind from QuikSCAT; the 3D precipitation structure from TRMM-PR and vertical profiles of cloud and precipitation from CloudSAT. All the NRT observations are collected from the data centers and science facilities at NASA and NOAA, subsetted, re-projected, and composited into hourly or daily data products depending on the frequency of the observation. The data products are then displayed on the 3D Google Earth plug-in at the JPL Tropical Cyclone Information System (TCIS) website. The data products offered by the TCIS in the Google Earth display include image overlays, wind vectors, clickable

  15. The use of Google Earth for the study of hospital architecture (II): cruciform, radial and pavilion hospitals.

    OpenAIRE

    Bonastra, Quim; Jori, Gerard

    2009-01-01

    Tras casi quince años de funcionamiento, Google Earth se ha convertido en una herramienta de gran utilidad para la investigación y enseñanza de las ciencias sociales y naturales. La geografía, que tiene la superficie terrestre como principal objeto de estudio, no ha permanecido al margen de este fenómeno, y cada vez es mayor el número de geógrafos que utilizan esta tecnología. En un trabajo anterior (Ar@cne, nº 122, 1 de julio de 2009) se examinaron las grandes tipologías arquitectónicas ...

  16. The use of Google Earth for the study of hospital architecture (I): from asclepieia to medieval hospitals .

    OpenAIRE

    Bonastra, Quim; Jori, Gerard

    2009-01-01

    Tras casi quince años de funcionamiento, Google Earth se ha convertido en una herramienta de gran utilidad para la investigación y enseñanza de las ciencias sociales y naturales. La geografía, que tiene la superficie terrestre como principal objeto de estudio, no ha permanecido al margen de este fenómeno, y cada vez es mayor el número de geógrafos que utilizan esta tecnología. En este trabajo se examinan las grandes tipologías arquitectónicas de los establecimientos de asistencia sanitaria co...

  17. Known unknowns, Google Earth, plate tectonics and Mt Bellenden Ker: some thoughts on locality data.

    Science.gov (United States)

    Mesibov, Robert

    2012-01-01

    Latitude/longitude data in locality records should be published with spatial uncertainties, datum(s) used and indications of how the data were obtained. Google Earth can be used to locate sampling sites, but the underlying georegistration of the satellite image should be checked. The little-known relabelling of a set of landmarks on Mt Bellenden Ker, a scientifically important collecting locality in tropical north Queensland, Australia, is documented as an example of the importance of checking records not accompanied by appropriately accurate latitude/longitude data.

  18. Using ArcMap, Google Earth, and Global Positioning Systems to select and locate random households in rural Haiti.

    Science.gov (United States)

    Wampler, Peter J; Rediske, Richard R; Molla, Azizur R

    2013-01-18

    A remote sensing technique was developed which combines a Geographic Information System (GIS); Google Earth, and Microsoft Excel to identify home locations for a random sample of households in rural Haiti. The method was used to select homes for ethnographic and water quality research in a region of rural Haiti located within 9 km of a local hospital and source of health education in Deschapelles, Haiti. The technique does not require access to governmental records or ground based surveys to collect household location data and can be performed in a rapid, cost-effective manner. The random selection of households and the location of these households during field surveys were accomplished using GIS, Google Earth, Microsoft Excel, and handheld Garmin GPSmap 76CSx GPS units. Homes were identified and mapped in Google Earth, exported to ArcMap 10.0, and a random list of homes was generated using Microsoft Excel which was then loaded onto handheld GPS units for field location. The development and use of a remote sensing method was essential to the selection and location of random households. A total of 537 homes initially were mapped and a randomized subset of 96 was identified as potential survey locations. Over 96% of the homes mapped using Google Earth imagery were correctly identified as occupied dwellings. Only 3.6% of the occupants of mapped homes visited declined to be interviewed. 16.4% of the homes visited were not occupied at the time of the visit due to work away from the home or market days. A total of 55 households were located using this method during the 10 days of fieldwork in May and June of 2012. The method used to generate and field locate random homes for surveys and water sampling was an effective means of selecting random households in a rural environment lacking geolocation infrastructure. The success rate for locating households using a handheld GPS was excellent and only rarely was local knowledge required to identify and locate households. This

  19. Using ArcMap, Google Earth, and Global Positioning Systems to select and locate random households in rural Haiti

    Directory of Open Access Journals (Sweden)

    Wampler Peter J

    2013-01-01

    Full Text Available Abstract Background A remote sensing technique was developed which combines a Geographic Information System (GIS; Google Earth, and Microsoft Excel to identify home locations for a random sample of households in rural Haiti. The method was used to select homes for ethnographic and water quality research in a region of rural Haiti located within 9 km of a local hospital and source of health education in Deschapelles, Haiti. The technique does not require access to governmental records or ground based surveys to collect household location data and can be performed in a rapid, cost-effective manner. Methods The random selection of households and the location of these households during field surveys were accomplished using GIS, Google Earth, Microsoft Excel, and handheld Garmin GPSmap 76CSx GPS units. Homes were identified and mapped in Google Earth, exported to ArcMap 10.0, and a random list of homes was generated using Microsoft Excel which was then loaded onto handheld GPS units for field location. The development and use of a remote sensing method was essential to the selection and location of random households. Results A total of 537 homes initially were mapped and a randomized subset of 96 was identified as potential survey locations. Over 96% of the homes mapped using Google Earth imagery were correctly identified as occupied dwellings. Only 3.6% of the occupants of mapped homes visited declined to be interviewed. 16.4% of the homes visited were not occupied at the time of the visit due to work away from the home or market days. A total of 55 households were located using this method during the 10 days of fieldwork in May and June of 2012. Conclusions The method used to generate and field locate random homes for surveys and water sampling was an effective means of selecting random households in a rural environment lacking geolocation infrastructure. The success rate for locating households using a handheld GPS was excellent and only

  20. Known unknowns, Google Earth, plate tectonics and Mt Bellenden Ker: some thoughts on locality data

    Directory of Open Access Journals (Sweden)

    Robert Mesibov

    2012-11-01

    Full Text Available Latitude/longitude data in locality records should be published with spatial uncertainties, datum(s used and indications of how the data were obtained. Google Earth can be used to locate sampling sites, but the underlying georegistration of the satellite image should be checked. The little-known relabelling of a set of landmarks on Mt Bellenden Ker, a scientifically important collecting locality in tropical north Queensland, Australia, is documented as an example of the importance of checking records not accompanied by appropriately accurate latitude/longitude data.

  1. Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

    Science.gov (United States)

    Xiong, Jun; Thenkabail, Prasad S.; Gumma, Murali K.; Teluguntla, Pardhasaradhi; Poehnelt, Justin; Congalton, Russell G.; Yadav, Kamini; Thau, David

    2017-04-01

    's population, but only about 6% of world's irrigation. Net cropland area distribution was 95 Mha during season 1, 117 Mha during season 2, and 84 Mha continuous. About 58% of the rainfed and 39% of the irrigated were single crops (net cropland area without cropland fallows) cropped during either season 1 (January-May) or season 2 (June-September). The ACMA algorithm was deployed on Google Earth Engine (GEE) cloud computing platform and applied on MODIS time-series data from 2003 through 2014 to obtain ACMA-derived cropland layers for these years (ACL2003 to ACL2014). The results indicated that over these twelve years, on average: (a) croplands increased by 1 Mha/yr, and (b) cropland fallows decreased by 1 Mha/year. Cropland areas computed from ACL2014 for the 55 African countries were largely underestimated when compared with an independent source of census-based cropland data, with a root-mean-square error (RMSE) of 3.5 Mha. ACMA demonstrated the ability to hind-cast (past years), now-cast (present year), and forecast (future years) cropland products using MODIS 250-m time-series data rapidly, but currently, insufficient reference data exist to rigorously report trends from these results.

  2. Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

    Science.gov (United States)

    Xiong, Jun N.; Thenkabail, Prasad S.; Gumma, Murali Krishna; Teluguntla, Pardhasaradhi G.; Poehnelt, Justin; Congalton, Russell G.; Yadav, Kamini; Thau, David

    2017-01-01

    world’s population, but only about 6% of world’s irrigation. Net cropland area distribution was 95 Mha during season 1, 117 Mha during season 2, and 84 Mha continuous. About 58% of the rainfed and 39% of the irrigated were single crops (net cropland area without cropland fallows) cropped during either season 1 (January-May) or season 2 (June-September). The ACMA algorithm was deployed on Google Earth Engine (GEE) cloud computing platform and applied on MODIS time-series data from 2003 through 2014 to obtain ACMA-derived cropland layers for these years (ACL2003 to ACL2014). The results indicated that over these twelve years, on average: (a) croplands increased by 1 Mha/yr, and (b) cropland fallows decreased by 1 Mha/year. Cropland areas computed from ACL2014 for the 55 African countries were largely underestimated when compared with an independent source of census-based cropland data, with a root-mean-square error (RMSE) of 3.5 Mha. ACMA demonstrated the ability to hind-cast (past years), now-cast (present year), and forecast (future years) cropland products using MODIS 250-m time-series data rapidly, but currently, insufficient reference data exist to rigorously report trends from these results.

  3. An Agro-Climatological Early Warning Tool Based on the Google Earth Engine to Support Regional Food Security Analysis

    Science.gov (United States)

    Landsfeld, M. F.; Daudert, B.; Friedrichs, M.; Morton, C.; Hegewisch, K.; Husak, G. J.; Funk, C. C.; Peterson, P.; Huntington, J. L.; Abatzoglou, J. T.; Verdin, J. P.; Williams, E. L.

    2015-12-01

    The Famine Early Warning Systems Network (FEWS NET) focuses on food insecurity in developing nations and provides objective, evidence based analysis to help government decision-makers and relief agencies plan for and respond to humanitarian emergencies. The Google Earth Engine (GEE) is a platform provided by Google Inc. to support scientific research and analysis of environmental data in their cloud environment. The intent is to allow scientists and independent researchers to mine massive collections of environmental data and leverage Google's vast computational resources to detect changes and monitor the Earth's surface and climate. GEE hosts an enormous amount of satellite imagery and climate archives, one of which is the Climate Hazards Group Infrared Precipitation with Stations dataset (CHIRPS). The CHIRPS dataset is land based, quasi-global (latitude 50N-50S), 0.05 degree resolution, and has a relatively long term period of record (1981-present). CHIRPS is on a continuous monthly feed into the GEE as new data fields are generated each month. This precipitation dataset is a key input for FEWS NET monitoring and forecasting efforts. FEWS NET intends to leverage the GEE in order to provide analysts and scientists with flexible, interactive tools to aid in their monitoring and research efforts. These scientists often work in bandwidth limited regions, so lightweight Internet tools and services that bypass the need for downloading massive datasets to analyze them, are preferred for their work. The GEE provides just this type of service. We present a tool designed specifically for FEWS NET scientists to be utilized interactively for investigating and monitoring for agro-climatological issues. We are able to utilize the enormous GEE computing power to generate on-the-fly statistics to calculate precipitation anomalies, z-scores, percentiles and band ratios, and allow the user to interactively select custom areas for statistical time series comparisons and predictions.

  4. Generating Southern Africa Precipitation Forecast Using the FEWS Engine, a New Application for the Google Earth Engine

    Science.gov (United States)

    Landsfeld, M. F.; Hegewisch, K.; Daudert, B.; Morton, C.; Husak, G. J.; Friedrichs, M.; Funk, C. C.; Huntington, J. L.; Abatzoglou, J. T.; Verdin, J. P.

    2016-12-01

    The Famine Early Warning Systems Network (FEWS NET) focuses on food insecurity in developing nations and provides objective, evidence-based analysis to help government decision-makers and relief agencies plan for and respond to humanitarian emergencies. The network of FEWS NET analysts and scientists require flexible, interactive tools to aid in their monitoring and research efforts. Because they often work in bandwidth-limited regions, lightweight Internet tools and services that bypass the need for downloading massive datasets are preferred for their work. To support food security analysis FEWS NET developed a custom interface for the Google Earth Engine (GEE). GEE is a platform developed by Google to support scientific analysis of environmental data in their cloud computing environment. This platform allows scientists and independent researchers to mine massive collections of environmental data, leveraging Google's vast computational resources for purposes of detecting changes and monitoring the Earth's surface and climate. GEE hosts an enormous amount of satellite imagery and climate archives, one of which is the Climate Hazards Group Infrared Precipitation with Stations dataset (CHIRPS). CHIRPS precipitation dataset is a key input for FEWS NET monitoring and forecasting efforts. In this talk we introduce the FEWS Engine interface. We present an application that highlights the utility of FEWS Engine for forecasting the upcoming seasonal precipitation of southern Africa. Specifically, the current state of ENSO is assessed and used to identify similar historical seasons. The FEWS Engine compositing tool is used to examine rainfall and other environmental data for these analog seasons. The application illustrates the unique benefits of using FEWS Engine for on-the-fly food security scenario development.

  5. Launch your Audience into Lunar Orbit - A case study of the Apollo 11 Google Earth Tour (Invited)

    Science.gov (United States)

    Askay, S.

    2009-12-01

    Google Earth 5.0 added support for 'Touring' in KML which allows content creators to create narrated, guided flights in the virtual globe. Given the complexity of many geospatial visualizations in KML, even a simple tour can provide an introduction and contextual foundation that will empower users to explore your content. However, to-date few developers have taken full advantage of the touring language's capabilities to create truly engaging user experiences. For the launch of Moon in Google Earth, the presenter created a KML tour which harnesses some of these advanced features, particularly the ability to dynamically manipulate 2D/3D features through space and time. This case study of the "Apollo 11" KML tour will dissect some of these innovative techniques and provide considerations for creating your own cutting-edge KML tours. Some specific topics covered will include how to: fade-in and out photos on-screen, animate and follow a 3D model along a path (or GPS track), dynamically scale Sketchup models to compensate for clipping at high altitude, and considerations for pre-caching content for smooth tour playback. This session will include both conceptual explanations of what is possible with KML Touring and some in-depth technical explanations of the KML code required.

  6. A Brief Description of Recovery Process of Coastal Vegetation after Tsunami: A Google Earth Time-Series Remote Sensing Data

    Directory of Open Access Journals (Sweden)

    Mochamad Candra Wirawan Arief

    2017-08-01

    Full Text Available The recovery of land cover/use after the disaster is sometimes disorderly, especially in developing countries. It is necessary to continuously monitor the progress of land cover/use recovery after disaster in order to sustain vegetation around estuarine and coastal areas. The purpose of this study was to assess the recovery progress of vegetation around estuarine and coastal areas after the Indian Ocean tsunami using a simplified method which consisting Google Earth and visual photo interpretation. Vegetation areas were able to be detected with high accuracy (80%−100% using simplified method which consisting Google Earth and visual photo interpretation. We were able to show that all most of area including mangrove forests recovered relatively smoothly. However, the area which has a large vegetation areas have not enough recovered, which reached to half or less than half compare with before tsunami. This may be significant in affecting the role of the coastal ecosystem and bioshield. A large number of small mangrove patches (less than 0.1 ha were able to found around ponds, a number that rapidly increased after the tsunami. Some site in 2013 was double that in 2004. Fish farmers might have planted them for supplying nutrients to ponds and maintain the water quality. Dozen years have passed since the 2004 tsunami, and it might be time to more focus on the recovery of large vegetation area

  7. Development, Deployment, and Assessment of Dynamic Geological and Geophysical Models Using the Google Earth APP and API: Implications for Undergraduate Education in the Earth and Planetary Sciences

    Science.gov (United States)

    de Paor, D. G.; Whitmeyer, S. J.; Gobert, J.

    2009-12-01

    We previously reported on innovative techniques for presenting data on virtual globes such as Google Earth using emergent Collada models that reveal subsurface geology and geophysics. We here present several new and enhanced models and linked lesson plans to aid deployment in undergraduate geoscience courses, along with preliminary results from our assessment of their effectiveness. The new Collada models are created with Google SketchUp, Bonzai3D, and MeshLab software, and are grouped to cover (i) small scale field mapping areas; (ii) regional scale studies of the North Atlantic Ocean Basin, the Appalachian Orogen, and the Pacific Ring of Fire; and (iii) global scale studies of terrestrial planets, moons, and asteroids. Enhancements include emergent block models with three-dimensional surface topography; models that conserve structural orientation data; interactive virtual specimens; models that animate plate movements on the virtual globe; exploded 3-D views of planetary mantles and cores; and server-generated dynamic KML. We tested volunteer students and professors using Silverback monitoring software, think-aloud verbalizations, and questionnaires designed to assess their understanding of the underlying geo-scientific phenomena. With the aid of a cohort of instructors across the U.S., we are continuing to assess areas in which users encounter difficulties with both the software and geoscientific concepts. Preliminary results suggest that it is easy to overestimate the computer expertise of novice users even when they are content knowledge experts (i.e., instructors), and that a detailed introduction to virtual globe manipulation is essential before moving on to geoscience applications. Tasks that seem trivial to developers may present barriers to non-technical users and technicalities that challenge instructors may block adoption in the classroom. We have developed new models using the Google Earth API which permits enhanced interaction and dynamic feedback and

  8. Learning GIS and exploring geolocated data with the all-in-one Geolokit toolbox for Google Earth

    Science.gov (United States)

    Watlet, A.; Triantafyllou, A.; Bastin, C.

    2016-12-01

    GIS software are today's essential tools to gather and visualize geological data, to apply spatial and temporal analysis and finally, to create and share interactive maps for further investigations in geosciences. Such skills are especially essential to learn for students who go through fieldtrips, samples collections or field experiments. However, time is generally missing to teach in detail all the aspects of visualizing geolocated geoscientific data. For these purposes, we developed Geolokit: a lightweight freeware dedicated to geodata visualization and written in Python, a high-level, cross-platform programming language. Geolokit software is accessible through a graphical user interface, designed to run in parallel with Google Earth, benefitting from the numerous interactive capabilities. It is designed as a very user-friendly toolbox that allows `geo-users' to import their raw data (e.g. GPS, sample locations, structural data, field pictures, maps), to use fast data analysis tools and to visualize these into the Google Earth environment using KML code; with no require of third party software, except Google Earth itself. Geolokit comes with a large number of geosciences labels, symbols, colours and placemarks and is applicable to display several types of geolocated data, including: Multi-points datasets Automatically computed contours of multi-points datasets via several interpolation methods Discrete planar and linear structural geology data in 2D or 3D supporting large range of structures input format Clustered stereonets and rose diagrams 2D cross-sections as vertical sections Georeferenced maps and grids with user defined coordinates Field pictures using either geo-tracking metadata from a camera built-in GPS module, or the same-day track of an external GPS In the end, Geolokit is helpful for quickly visualizing and exploring data without losing too much time in the numerous capabilities of GIS software suites. We are looking for students and teachers to

  9. Using Google Earth to conduct a neighborhood audit: reliability of a virtual audit instrument.

    Science.gov (United States)

    Clarke, Philippa; Ailshire, Jennifer; Melendez, Robert; Bader, Michael; Morenoff, Jeffrey

    2010-11-01

    Over the last two decades, the impact of community characteristics on the physical and mental health of residents has emerged as an important frontier of research in population health and health disparities. However, the development and evaluation of measures to capture community characteristics is still at a relatively early stage. The purpose of this work was to assess the reliability of a neighborhood audit instrument administered in the city of Chicago using Google Street View by comparing these "virtual" data to those obtained from an identical instrument administered "in-person". We find that a virtual audit instrument can provide reliable indicators of recreational facilities, the local food environment, and general land use. However, caution should be exercised when trying to gather more finely detailed observations. Using the internet to conduct a neighborhood audit has the potential to significantly reduce the costs of collecting data objectively and unobtrusively. Copyright © 2010 Elsevier Ltd. All rights reserved.

  10. Neural network-based segmentation of satellite imagery for estimating house cluster of an urban settlement from Google Earth images

    International Nuclear Information System (INIS)

    Wardaya, P D; Ridha, S

    2014-01-01

    In this paper a backpropagation neural network is utilized to perform house cluster segmentation from Google Earth data. The algorithm is subjected to identify houses in the image based on the RGB pattern within each pixel. Training data is given through cropping selection for a target that is a house cluster and a non object. The algorithm assigns 1 to a pixel belong to a class of object and 0 to a class of non object. The resulting outcome, a binary image, is then utilized to perform quantification to estimate the number of house clusters. The number of the hidden layer is varying in order to find its effect to the neural network performance and total computational time

  11. FREE GLOBAL DSM ASSESSMENT ON LARGE SCALE AREAS EXPLOITING THE POTENTIALITIES OF THE INNOVATIVE GOOGLE EARTH ENGINE PLATFORM

    Directory of Open Access Journals (Sweden)

    A. Nascetti

    2017-05-01

    Full Text Available The high-performance cloud-computing platform Google Earth Engine has been developed for global-scale analysis based on the Earth observation data. In particular, in this work, the geometric accuracy of the two most used nearly-global free DSMs (SRTM and ASTER has been evaluated on the territories of four American States (Colorado, Michigan, Nevada, Utah and one Italian Region (Trentino Alto- Adige, Northern Italy exploiting the potentiality of this platform. These are large areas characterized by different terrain morphology, land covers and slopes. The assessment has been performed using two different reference DSMs: the USGS National Elevation Dataset (NED and a LiDAR acquisition. The DSMs accuracy has been evaluated through computation of standard statistic parameters, both at global scale (considering the whole State/Region and in function of the terrain morphology using several slope classes. The geometric accuracy in terms of Standard deviation and NMAD, for SRTM range from 2-3 meters in the first slope class to about 45 meters in the last one, whereas for ASTER, the values range from 5-6 to 30 meters. In general, the performed analysis shows a better accuracy for the SRTM in the flat areas whereas the ASTER GDEM is more reliable in the steep areas, where the slopes increase. These preliminary results highlight the GEE potentialities to perform DSM assessment on a global scale.

  12. Free Global Dsm Assessment on Large Scale Areas Exploiting the Potentialities of the Innovative Google Earth Engine Platform

    Science.gov (United States)

    Nascetti, A.; Di Rita, M.; Ravanelli, R.; Amicuzi, M.; Esposito, S.; Crespi, M.

    2017-05-01

    The high-performance cloud-computing platform Google Earth Engine has been developed for global-scale analysis based on the Earth observation data. In particular, in this work, the geometric accuracy of the two most used nearly-global free DSMs (SRTM and ASTER) has been evaluated on the territories of four American States (Colorado, Michigan, Nevada, Utah) and one Italian Region (Trentino Alto- Adige, Northern Italy) exploiting the potentiality of this platform. These are large areas characterized by different terrain morphology, land covers and slopes. The assessment has been performed using two different reference DSMs: the USGS National Elevation Dataset (NED) and a LiDAR acquisition. The DSMs accuracy has been evaluated through computation of standard statistic parameters, both at global scale (considering the whole State/Region) and in function of the terrain morphology using several slope classes. The geometric accuracy in terms of Standard deviation and NMAD, for SRTM range from 2-3 meters in the first slope class to about 45 meters in the last one, whereas for ASTER, the values range from 5-6 to 30 meters. In general, the performed analysis shows a better accuracy for the SRTM in the flat areas whereas the ASTER GDEM is more reliable in the steep areas, where the slopes increase. These preliminary results highlight the GEE potentialities to perform DSM assessment on a global scale.

  13. Developing a Global Database of Historic Flood Events to Support Machine Learning Flood Prediction in Google Earth Engine

    Science.gov (United States)

    Tellman, B.; Sullivan, J.; Kettner, A.; Brakenridge, G. R.; Slayback, D. A.; Kuhn, C.; Doyle, C.

    2016-12-01

    There is an increasing need to understand flood vulnerability as the societal and economic effects of flooding increases. Risk models from insurance companies and flood models from hydrologists must be calibrated based on flood observations in order to make future predictions that can improve planning and help societies reduce future disasters. Specifically, to improve these models both traditional methods of flood prediction from physically based models as well as data-driven techniques, such as machine learning, require spatial flood observation to validate model outputs and quantify uncertainty. A key dataset that is missing for flood model validation is a global historical geo-database of flood event extents. Currently, the most advanced database of historical flood extent is hosted and maintained at the Dartmouth Flood Observatory (DFO) that has catalogued 4320 floods (1985-2015) but has only mapped 5% of these floods. We are addressing this data gap by mapping the inventory of floods in the DFO database to create a first-of- its-kind, comprehensive, global and historical geospatial database of flood events. To do so, we combine water detection algorithms on MODIS and Landsat 5,7 and 8 imagery in Google Earth Engine to map discrete flood events. The created database will be available in the Earth Engine Catalogue for download by country, region, or time period. This dataset can be leveraged for new data-driven hydrologic modeling using machine learning algorithms in Earth Engine's highly parallelized computing environment, and we will show examples for New York and Senegal.

  14. Google Secrets

    CERN Document Server

    Davis, Yvette

    2011-01-01

    Become a Google guru with these effective tips, tricks, and techniques Sure, you use Google. But do you really use Google-and everything it has to offer-in the most effective way possible? Wish you could just sit down with a Google expert who would show you how to take your Google savviness to the next level? With Google Secrets, you can! Tech expert Jerri Ledford reveals the ins, outs, and little-known facts about Google to show you how to sharpen your skills so you can get more done, more efficiently. You may already be familiar with Google's most popular applications, but this indispensable

  15. Luasan Dan Distribusi Mangrove Di Kecamatan Ulujami Kabupaten Pemalang Dengan Penggunaan Google Earth Dan Software Arcgis (Studi Kasus : Desa Pesantren, Desa Mojo Dan Desa Limbangan)

    OpenAIRE

    Fatmawati, Rifky Annisa; Suryanto, Agung; Hendrarto, Boedi

    2016-01-01

    Mangrove database generally is still not showing the actual conditions in the field. Remote sensing for mangrove vegetation has been developed to obtain data on the extent of mangrove in an area.The purpose of this study was to find a possible use Google earth and Software ArcGIS to determine the extent and distribution of mangrove in subdistrict Ulujami Pemalang. The method used to calculate the extent of mangrove was digitizing on screen the extent and distribution of mangrove in Google Ear...

  16. CBS, GPS VE GOOGLE EARTH TEKNOLOJİLERİNİN COĞRAFYA DERSLERİNDE KULLANIMI

    OpenAIRE

    DEMİRCİ, ALİ; KARABURUN, AHMET

    2013-01-01

    ÖZETBu çalışma CBS, GPS ve Google Earth teknolojilerinin birlikte kullanıldığı bir etkinliğin ortaöğretim coğrafya derslerindeki uygulanabilirliğinin test edilmesi amacı ile gerçekleştirilmiştir. Çalışma İstanbul İl Milli Eğitim Müdürlüğü ve Fatih Üniversitesi işbirliği ile İstanbul’da görev yapan coğrafya öğretmenlerine verilen CBS kursu sırasında gerçekleştirilmiştir. Çalışmaya İstanbul’daki 19 ilçede yer alan 25 farklı ortaöğretim kurumunda çalışan 25 coğrafya öğretmeni katılmıştır. Çalışm...

  17. A virtual, interactive and dynamic excursion in Google Earth on soil management and conservation (AgroGeovid)

    Science.gov (United States)

    Vanwalleghem, Tom; Giráldez, Juan Vicente

    2013-04-01

    Many courses on natural resources require hands-on practical knowledge and experience that students traditionally could only acquire by expensive and time-consuming field excursions. New technologies and social media however provide an interesting alternative to train students and help them improve their practical knowledge. AgroGeovid is a virtual excursion, based on Google Earth, Youtube, Facebook and Twitter that is aimed at agricultural engineering students, but equally useful for any student interested in soil management and conservation, e.g. geography, geology and environmental resources. Agrogeovid provides the framework for teachers and students to upload geotagged photos, comments and discussions. After the initial startup phase, where the teacher uploaded material on e.g. soil erosion phenomena, soil conservation structures and different soil management strategies under different agronomic systems, students contributed with their own material gathered throughout the academic year. All students decided to contribute via Facebook, in stead of Twitter, which was not known to most of them. The final result was a visual and dynamic tool which students could use to train and perfect skills adopted in the classroom using case-studies and examples from their immediate environment.

  18. Applying the global positioning system and google earth to evaluate the accessibility of birth services for pregnant women in northern Malawi.

    Science.gov (United States)

    Chen, Solomon Chih-Cheng; Wang, Jung-Der; Yu, Joseph Kwong-Leung; Rn, Tzu-Yi Chiang; Chan, Chang-Chuan; Rn, Hsiu-Hung Wang; Nyasulu, Yohane M Z; Kolola-Dzimadzi, Rose

    2011-01-01

    The objective of this study was to validate the combined use of the Global Positioning System (GPS) and Google Earth for measuring the accessibility of health care facilities for pregnant women in northern Malawi. We used GPS and Google Earth to identify 5 major health care facilities in Mzuzu (Malawi) and the homes of 79 traditional birth attendants (TBAs). The distance and time required for each TBA to reach the nearest health care facility were measured by both GPS and by self-report of the TBAs. A convenience sample of 1138 pregnant women was interviewed about their choices of birth sites for current and previous pregnancies and the time and cost required to access health care facilities. The correlation coefficient between the objective measurements by GPS and subjective reports by TBAs for time required from their homes to health care facilities was 0.654 (P birth at a health care facility. However, only 48.7% of women actually gave birth in a health care facility in a previous pregnancy, and 32.6% were assisted by TBAs. Combined GPS and Google Earth can be useful in the evaluation of accessibility of health care facilities, especially for emergency obstetric care. © 2011 by the American College of Nurse-Midwives.

  19. Google Scholar

    OpenAIRE

    Flood, Even

    2005-01-01

    Rechercher sur Google Scholar Google Scholar : http://scholar.google.com Google Scholar est un moteur de recherche spécialisé dans la littérature universitaire lancé fin 2004, encore en version beta à la rédaction de cet article. Que trouvez-vous sur Google Scholar ? Bien que la couverture de Google Scholar ne puisse être définie avec précision, on peut dire que l’objectif est de retrouver les documents du web invisible du monde scientifique. La base de données est multidisciplinaire avec...

  20. Google+ companion

    CERN Document Server

    Hattersley, Mark

    2012-01-01

    Get the inside scoop on the newest social networking site: Google+ If you think you've seen it all when it comes to social networking sites, you haven't seen Google+ yet! Built from the ground up to be useful to both desktop and mobile users, Google+ offers the same great features as other popular social network sites?yet, Google+ goes one step further by integrating popular Google technologies and introducing exciting new and unique features such as "Circles," "Hang," and "Sparks." Using clear, step-by-step instructions, Google+ Companion helps you master this amazing new social networking te

  1. Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

    Science.gov (United States)

    Dong, Jinwei; Xiao, Xiangming; Menarguez, Michael A.; Zhang, Geli; Qin, Yuanwei; Thau, David; Biradar, Chandrashekhar; Moore, Berrien

    2016-01-01

    Area and spatial distribution information of paddy rice are important for understanding of food security, water use, greenhouse gas emission, and disease transmission. Due to climatic warming and increasing food demand, paddy rice has been expanding rapidly in high latitude areas in the last decade, particularly in northeastern (NE) Asia. Current knowledge about paddy rice fields in these cold regions is limited. The phenology- and pixel-based paddy rice mapping (PPPM) algorithm, which identifies the flooding signals in the rice transplanting phase, has been effectively applied in tropical areas, but has not been tested at large scale of cold regions yet. Despite the effects from more snow/ice, paddy rice mapping in high latitude areas is assumed to be more encouraging due to less clouds, lower cropping intensity, and more observations from Landsat sidelaps. Moreover, the enhanced temporal and geographic coverage from Landsat 8 provides an opportunity to acquire phenology information and map paddy rice. This study evaluated the potential of Landsat 8 images on annual paddy rice mapping in NE Asia which was dominated by single cropping system, including Japan, North Korea, South Korea, and NE China. The cloud computing approach was used to process all the available Landsat 8 imagery in 2014 (143 path/rows, ~3290 scenes) with the Google Earth Engine (GEE) platform. The results indicated that the Landsat 8, GEE, and improved PPPM algorithm can effectively support the yearly mapping of paddy rice in NE Asia. The resultant paddy rice map has a high accuracy with the producer (user) accuracy of 73% (92%), based on the validation using very high resolution images and intensive field photos. Geographic characteristics of paddy rice distribution were analyzed from aspects of country, elevation, latitude, and climate. The resultant 30-m paddy rice map is expected to provide unprecedented details about the area, spatial distribution, and landscape pattern of paddy rice fields

  2. Applications of NASA Earth Observation Imagery in Google Earth Engine to Estimate Glacier Trends and Water Availability in Chile's Aconcagua Watershed

    Science.gov (United States)

    Webb, M. J.; Babis, B.; Deland, S.; McGurk, G.

    2017-12-01

    The Aconcagua basin of Central Chile, just north of the capital city of Santiago, is characterized by the glaciated Andes to the east, which supply meltwater runoff to the lower fertile river valleys. Known for the production of fruit and vegetable crops, the region is experiencing stressed hydrologic resources as a result of anomalous climate conditions and anthropogenic water consumption. Traditionally, the wet and cool winter months account for 80 percent of Aconcagua's total annual precipitation, while dry and warm conditions prevail during the summer months. Consequently, the basin depends on seasonal glacial accumulation to provide water storage for the dry season when up to 67 percent of water is derived from glacial runoff. Overall, 70 percent of regional water is consumed by agricultural practices, specifically the fruit and vegetable farming that thrives in Aconcagua's Mediterranean-type climate. Globally, weather intensification and the rising zero-degree isotherm are poised to threaten the stability and longevity of glacial water resources. In recent years, Chile has experienced periods of prolonged drought as well as glacier shrinkage. The Aconcagua basin is especially vulnerable to these changes as a consequence of its agricultural economies and reliance on sub-tropical glaciers for water resources. Aconcagua is among the top three regions contributing to Chile's gross domestic product (GDP). Furthermore, in 2011 the Chilean government announced plans to increase the national land under irrigation by 57 percent by 2022. In partnership with the Chilean Ministry of Agriculture, the objective of this research was to integrate NASA Earth observations in conjunction with in situ river discharge measurements into Google Earth Engine to enhance regional understanding of current and future climate conditions in Chile. The remotely-sensed datasets included Landsat TM/OLI derived glacial extent, Terra MODIS snow cover and surface temperature, and Aqua AMSR

  3. Logging Student Learning via a Puerto Rico-based Geologic Mapping Game on the Google Earth Virtual Globe

    Science.gov (United States)

    Gobert, J.; Toto, E.; Wild, S. C.; Dordevic, M. M.; De Paor, D. G.

    2013-12-01

    A hindrance to migrating undergraduate geoscience courses online is the challenge of giving students a quasi-authentic field experience. As part of an NSF TUES Type 2 project (# NSF-DUE 1022755), we addressed this challenge by designing a Google Earth (GE) mapping game centered on Puerto Rico, a place we chose in order to connect with underrepresented minorities but also because its simple geologic divisions minimized map complexity. The game invites student groups to explore the island and draw a geological map with these divisions: Rugged Volcanic Terrain, Limestone Karst Topography, and Surficial Sands & Gravels. Students, represented as avatars via COLLADA models and the GE browser plugin, can move about, text fellow students, and click a 'drill here' button that tells them what lies underground. They need to learn to read the topography because the number of holes they can drill is limited to 30. Then using the GE Polygon tool, they create a map, aided by a custom 'snapping' algorithm that stitches adjacent contacts, preventing gaps and overlaps, and they submit this map for evaluation by their instructor, an evaluation we purposefully did not automate. Initially we assigned students to groups of 4 and gave each group a field vehicle avatar with a designated driver, however students hated the experience unless they were the designated driver, so we revised the game to allow all students to roam independently, however we retained the mutual texting feature amongst students in groups. We implemented the activity with undergraduates from a university in South East USA. All student movements and actions on the GE terrain were logged. We wrote algorithms to evaluate student learning processes via log files, including, but not limited to, number of places drilled and their locations. Pre-post gains were examined, as well as correlations between data from log files and pre-post data. There was a small but statistically significant post-pre gain including a positive

  4. Detection of olive oil mill waste (OOMW) disposal areas using high resolution GeoEye's OrbView-3 and Google Earth images

    Science.gov (United States)

    Agapiou, Athos; Papadopoulos, Nikos; Sarris, Apostolos

    2016-01-01

    The olive oil industry is considered to be as one of the driving sectors of the agricultural economy of the Mediterranean basin. The extraction of olive oil generates huge quantities of wastes that may have a great impact on land and water environments due to high concentrations in phenolic compounds that could cause ophytotoxicity. This paper aims to examine the potential use of freely distributed satellite images for the detection of olive oil mil waste (OOMW) areas in the island of Crete through the use of two cases studies. In the first case study an archive GeoEye OrbView-3 image was used to detect OOMW areas using the Spectral Angle Mapper detection algorithm and other geometric and topographic parameters. In the second case study, Google Earth images were examined through different classification algorithms at different scales. The overall results demonstrate that remote sensing techniques can be used as an alternative to field observations so as to detect and monitor OOMW areas Furthermore, freely distributed RGB images from digital globes (such as Google Earth) can be sufficiently and effectively used for this purpose.

  5. Google de pest

    NARCIS (Netherlands)

    Voorde, M. ter; Jong, S.M. de

    2010-01-01

    Het klinkt als een bizarre onderneming: wie gaat er nou bacteriën, organismen van pakweg een duizendste millimeter, opsporen met satellietbeelden? Toch gebeurt het sinds kort. Met behulp van satellietbeelden van Google Earth proberen Elisabeth Addink en Steven de long, fysisch-geografen van de

  6. Assessment of the detectability of geo-hazards using Google Earth applied to the Three Parallel Rivers Area, Yunnan province of China

    Science.gov (United States)

    Voermans, Michiel; Mao, Zhun; Baartman, Jantiene EM; Stokes, Alexia

    2017-04-01

    Anthropogenic activities such as hydropower, mining and road construction in mountainous areas can induce and intensify mass wasting geo-hazards (e.g. landslides, gullies, rockslides). This represses local safety and socio-economic development, and endangers biodiversity at larger scale. Until today, data and knowledge to construct geo-hazard databases for further assessments are lacking. This applies in particular to countries with a recently emerged rapid economic growth, where there are no previous hazard documentations and where means to gain data from e.g. intensive fieldwork or VHR satellite imagery and DEM processing are lacking. Google Earth (GE, https://www.google.com/earth/) is a freely available and relatively simple virtual globe, map and geographical information program, which is potentially useful in detecting geo-hazards. This research aimed at (i) testing the capability of Google Earth to detect locations of geo-hazards and (ii) identifying factors affecting the diagnosing quality of the detection, including effects of geo-hazard dimensions, environs setting and professional background and effort of GE users. This was tested on nine geo-hazard sites following road segments in the Three Parallel Rivers Area in the Yunnan province of China, where geo-hazards are frequently occurring. Along each road site, the position and size of each geo-hazard was measured in situ. Next, independent diagnosers with varying professional experience (students, researchers, engineers etc.) were invited to detect geo-hazard occurrence along each of the eight sites via GE. Finally, the inventory and diagnostic data were compared to validate the objectives. Rates of detected geo-hazards from 30 diagnosers ranged from 10% to 48%. No strong correlations were found between the type and size of the geo-hazards and their detection rates. Also the years of expertise of the diagnosers proved not to make a difference, opposite to what may be expected. Meanwhile the amount of time

  7. Mapping Above-Ground Biomass in a Tropical Forest in Cambodia Using Canopy Textures Derived from Google Earth

    Directory of Open Access Journals (Sweden)

    Minerva Singh

    2015-04-01

    Full Text Available This study develops a modelling framework for utilizing very high-resolution (VHR aerial imagery for monitoring stocks of above-ground biomass (AGB in a tropical forest in Southeast Asia. Three different texture-based methods (grey level co-occurrence metric (GLCM, Gabor wavelets and Fourier-based textural ordination (FOTO were used in conjunction with two different machine learning (ML-based regression techniques (support vector regression (SVR and random forest (RF regression. These methods were implemented on both 50-cm resolution Digital Globe data extracted from Google Earth™ (GE and 8-cm commercially obtained VHR imagery. This study further examines the role of forest biophysical parameters, such as ground-measured canopy cover and vertical canopy height, in explaining AGB distribution. Three models were developed using: (i horizontal canopy variables (i.e., canopy cover and texture variables plus vertical canopy height; (ii horizontal variables only; and (iii texture variables only. AGB was variable across the site, ranging from 51.02 Mg/ha to 356.34 Mg/ha. GE-based AGB estimates were comparable to those derived from commercial aerial imagery. The findings demonstrate that novel use of this array of texture-based techniques with GE imagery can help promote the wider use of freely available imagery for low-cost, fine-resolution monitoring of forests parameters at the landscape scale.

  8. Erratum: Google Earth as Geoscience Data Browser Project: Development of a Tool to Convert JAMSTEC Research Vessel Navigation Data to KML [Data Science Journal, Volume 8, 30 March 2009. S85-S91

    Directory of Open Access Journals (Sweden)

    Y Yamagishi

    2009-07-01

    Full Text Available The following PDF indicates errata for the original article entitled "Google Earth as Geoscience Data Browser Project: Development of a Tool to Convert JAMSTEC Research Vessel Navigation Data to KML" by Y Yamagishi, H Nagao, K Suzuki, H Tamura, T Hatakeyama, H Yanaka and S Tsuboi.

  9. Mapping rice extent map with crop intensity in south China through integration of optical and microwave images based on google earth engine

    Science.gov (United States)

    Zhang, X.; Wu, B.; Zhang, M.; Zeng, H.

    2017-12-01

    Rice is one of the main staple foods in East Asia and Southeast Asia, which has occupied more than half of the world's population with 11% of cultivated land. Study on rice can provide direct or indirect information on food security and water source management. Remote sensing has proven to be the most effective method to monitoring the cropland in large scale by using temporary and spectral information. There are two main kinds of satellite have been used to mapping rice including microwave and optical. Rice, as the main crop of paddy fields, the main feature different from other crops is flooding phenomenon at planning stage (Figure 1). Microwave satellites can penetrate through clouds and efficiency on monitoring flooding phenomenon. Meanwhile, the vegetation index based on optical satellite can well distinguish rice from other vegetation. Google Earth Engine is a cloud-based platform that makes it easy to access high-performance computing resources for processing very large geospatial datasets. Google has collected large number of remote sensing satellite data around the world, which providing researchers with the possibility of doing application by using multi-source remote sensing data in a large area. In this work, we map rice planting area in south China through integration of Landsat-8 OLI, Sentienl-2, and Sentinel-1 Synthetic Aperture Radar (SAR) images. The flowchart is shown in figure 2. First, a threshold method the VH polarized backscatter from SAR sensor and vegetation index including normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) from optical sensor were used the classify the rice extent map. The forest and water surface extent map provided by earth engine were used to mask forest and water. To overcome the problem of the "salt and pepper effect" by Pixel-based classification when the spatial resolution increased, we segment the optical image and use the pixel- based classification results to merge the object

  10. A two-stage cluster sampling method using gridded population data, a GIS, and Google EarthTM imagery in a population-based mortality survey in Iraq

    Directory of Open Access Journals (Sweden)

    Galway LP

    2012-04-01

    Full Text Available Abstract Background Mortality estimates can measure and monitor the impacts of conflict on a population, guide humanitarian efforts, and help to better understand the public health impacts of conflict. Vital statistics registration and surveillance systems are rarely functional in conflict settings, posing a challenge of estimating mortality using retrospective population-based surveys. Results We present a two-stage cluster sampling method for application in population-based mortality surveys. The sampling method utilizes gridded population data and a geographic information system (GIS to select clusters in the first sampling stage and Google Earth TM imagery and sampling grids to select households in the second sampling stage. The sampling method is implemented in a household mortality study in Iraq in 2011. Factors affecting feasibility and methodological quality are described. Conclusion Sampling is a challenge in retrospective population-based mortality studies and alternatives that improve on the conventional approaches are needed. The sampling strategy presented here was designed to generate a representative sample of the Iraqi population while reducing the potential for bias and considering the context specific challenges of the study setting. This sampling strategy, or variations on it, are adaptable and should be considered and tested in other conflict settings.

  11. Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks

    Directory of Open Access Journals (Sweden)

    Xue Yang

    2018-01-01

    Full Text Available Ship detection has been playing a significant role in the field of remote sensing for a long time, but it is still full of challenges. The main limitations of traditional ship detection methods usually lie in the complexity of application scenarios, the difficulty of intensive object detection, and the redundancy of the detection region. In order to solve these problems above, we propose a framework called Rotation Dense Feature Pyramid Networks (R-DFPN which can effectively detect ships in different scenes including ocean and port. Specifically, we put forward the Dense Feature Pyramid Network (DFPN, which is aimed at solving problems resulting from the narrow width of the ship. Compared with previous multiscale detectors such as Feature Pyramid Network (FPN, DFPN builds high-level semantic feature-maps for all scales by means of dense connections, through which feature propagation is enhanced and feature reuse is encouraged. Additionally, in the case of ship rotation and dense arrangement, we design a rotation anchor strategy to predict the minimum circumscribed rectangle of the object so as to reduce the redundant detection region and improve the recall. Furthermore, we also propose multiscale region of interest (ROI Align for the purpose of maintaining the completeness of the semantic and spatial information. Experiments based on remote sensing images from Google Earth for ship detection show that our detection method based on R-DFPN representation has state-of-the-art performance.

  12. Landsat Time-series for the Masses: Predicting Wood Biomass Growth from Tree-rings Using Departures from Mean Phenology in Google Earth Engine

    Science.gov (United States)

    Foster, J. R.; D'Amato, A. W.; Itter, M.; Reinikainen, M.; Curzon, M.

    2017-12-01

    The terrestrial carbon cycle is perturbed when disturbances remove leaf biomass from the forest canopy during the growing season. Changes in foliar biomass arise from defoliation caused by insects, disease, drought, frost or human management. As ephemeral disturbances, these often go undetected and their significance to models that predict forest growth from climatic drivers remains unknown. Here, we seek to distinguish the roles of weather vs. canopy disturbance on forest growth by using dense Landsat time-series to quantify departures in mean phenology that in turn predict changes in leaf biomass. We estimated a foliar biomass index (FBMI) from 1984-2016, and predict plot-level wood growth over 28 years on 156 tree-ring monitoring plots in Minnesota, USA. We accessed the entire Landsat archive (sensors 4, 5 & 7) to compute FBMI using Google Earth Engine's cloud computing platform (GEE). GEE allows this pixel-level approach to be applied at any location; a feature we demonstrate with published wood-growth data from flux tower sites. Our Bayesian models predicted biomass changes from tree-ring plots as a function of Landsat FBMI and annual climate data. We expected model parameters to vary by tree functional groups defined by differences in xylem anatomy and leaf longevity, two traits with linkages to phenology, as reported in a recent review. We found that Landsat FBMI was a surprisingly strong predictor of aggregate wood-growth, explaining up to 80% of annual growth variation for some deciduous plots. Growth responses to canopy disturbance varied among tree functional groups, and the importance of some seasonal climate metrics diminished or changed sign when FBMI was included (e.g. fall and spring climatic water deficit), while others remained unchanged (current and lagged summer deficit). Insights emerging from these models can clear up sources of persistent uncertainty and open a new frontier for models of forest productivity.

  13. A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform

    Science.gov (United States)

    Chen, Bangqian; Xiao, Xiangming; Li, Xiangping; Pan, Lianghao; Doughty, Russell; Ma, Jun; Dong, Jinwei; Qin, Yuanwei; Zhao, Bin; Wu, Zhixiang; Sun, Rui; Lan, Guoyu; Xie, Guishui; Clinton, Nicholas; Giri, Chandra

    2017-09-01

    Due to rapid losses of mangrove forests caused by anthropogenic disturbances and climate change, accurate and contemporary maps of mangrove forests are needed to understand how mangrove ecosystems are changing and establish plans for sustainable management. In this study, a new classification algorithm was developed using the biophysical characteristics of mangrove forests in China. More specifically, these forests were mapped by identifying: (1) greenness, canopy coverage, and tidal inundation from time series Landsat data, and (2) elevation, slope, and intersection-with-sea criterion. The annual mean Normalized Difference Vegetation Index (NDVI) was found to be a key variable in determining the classification thresholds of greenness, canopy coverage, and tidal inundation of mangrove forests, which are greatly affected by tide dynamics. In addition, the integration of Sentinel-1A VH band and modified Normalized Difference Water Index (mNDWI) shows great potential in identifying yearlong tidal and fresh water bodies, which is related to mangrove forests. This algorithm was developed using 6 typical Regions of Interest (ROIs) as algorithm training and was run on the Google Earth Engine (GEE) cloud computing platform to process 1941 Landsat images (25 Path/Row) and 586 Sentinel-1A images circa 2015. The resultant mangrove forest map of China at 30 m spatial resolution has an overall/users/producer's accuracy greater than 95% when validated with ground reference data. In 2015, China's mangrove forests had a total area of 20,303 ha, about 92% of which was in the Guangxi Zhuang Autonomous Region, Guangdong, and Hainan Provinces. This study has demonstrated the potential of using the GEE platform, time series Landsat and Sentine-1A SAR images to identify and map mangrove forests along the coastal zones. The resultant mangrove forest maps are likely to be useful for the sustainable management and ecological assessments of mangrove forests in China.

  14. Using GIS and Google Earth for the creation of the Going-to-the-Sun Road Avalanche Atlas, Glacier National Park, Montana, USA

    Science.gov (United States)

    Peitzsch, Erich H.; Fagre, Daniel B.; Dundas, Mark

    2010-01-01

    Snow avalanche paths are key geomorphologic features in Glacier National Park, Montana, and an important component of mountain ecosystems: they are isolated within a larger ecosystem, they are continuously disturbed, and they contain unique physical characteristics (Malanson and Butler, 1984). Avalanches impact subalpine forest structure and function, as well as overall biodiversity (Bebi et al., 2009). Because avalanches are dynamic phenomena, avalanche path geometry and spatial extent depend upon climatic regimes. The USGS/GNP Avalanche Program formally began in 2003 as an avalanche forecasting program for the spring opening of the ever-popular Going-to-the-Sun Road (GTSR), which crosses through 37 identified avalanche paths. Avalanche safety and forecasting is a necessary part of the GTSR spring opening procedures. An avalanche atlas detailing topographic parameters and oblique photographs was completed for the GTSR corridor in response to a request from GNP personnel for planning and resource management. Using ArcMap 9.2 GIS software, polygons were created for every avalanche path affecting the GTSR using aerial imagery, field-based observations, and GPS measurements of sub-meter accuracy. Spatial attributes for each path were derived within the GIS. Resulting products include an avalanche atlas book for operational use, a geoPDF of the atlas, and a Google Earth flyover illustrating each path and associated photographs. The avalanche atlas aids park management in worker safety, infrastructure planning, and natural resource protection by identifying avalanche path patterns and location. The atlas was created for operational and planning purposes and is also used as a foundation for research such as avalanche ecology projects and avalanche path runout modeling.

  15. Estimating Sediment Delivery to The Rio Maranon, Peru Prior to Large-Scale Hydropower Developments Using High Resolution Imagery from Google Earth and a DJI Phantom 3 Drone

    Science.gov (United States)

    Goode, J. R.; Candelaria, T.; Kramer, N. R.; Hill, A. F.

    2016-12-01

    As global energy demands increase, generating hydroelectric power by constructing dams and reservoirs on large river systems is increasingly seen as a renewable alternative to fossil fuels, especially in emerging economies. Many large-scale hydropower projects are located in steep mountainous terrain, where environmental factors have the potential to conspire against the sustainability and success of such projects. As reservoir storage capacity decreases when sediment builds up behind dams, high sediment yields can limit project life expectancy and overall hydropower viability. In addition, episodically delivered sediment from landslides can make quantifying sediment loads difficult. These factors, combined with remote access, limit the critical data needed to effectively evaluate development decisions. In the summer of 2015, we conducted a basic survey to characterize the geomorphology, hydrology and ecology of 620 km of the Rio Maranon, Peru - a major tributary to the Amazon River, which flows north from the semi-arid Peruvian Andes - prior to its dissection by several large hydropower dams. Here we present one component of this larger study: a first order analysis of potential sediment inputs to the Rio Maranon, Peru. To evaluate sediment delivery and storage in this system, we used high resolution Google Earth imagery to delineate landslides, combined with high resolution imagery from a DJI Phantom 3 Drone, flown at alluvial fan inputs to the river in the field. Because hillslope-derived sediment inputs from headwater tributaries are important to overall ecosystem health in large river systems, our study has the potential to contribute to the understanding the impacts of large Andean dams on sediment connectivity to the Amazon basin.

  16. From Google Maps to Google Models (Invited)

    Science.gov (United States)

    Moore, R. V.

    2010-12-01

    Why hasn’t integrated modelling taken off? To its advocates, it is self-evidently the best and arguably the only tool available for understanding and predicting the likely response of the environment to events and policies. Legislation requires managers to ensure that their plans are sustainable. How, other than by modelling the interacting processes involved, can the option with the greatest benefits be identified? Integrated modelling (IM) is seen to have huge potential. In science, IM is used to extend and encapsulate our understanding of the whole earth system. Such models are beginning to be incorporated in operational decision support systems and used to seek sustainable solutions to society’s problems, but only on a limited scale. Commercial take up is negligible yet the opportunities would appear limitless. The need is there; the potential is there, so what is inhibiting IM’s take up? What must be done to reap the rewards of the R & D to date? To answer the question, it useful to look back at the developments which have seen paper maps evolve into Google Maps and the systems that now surround it; facilities available not just to experts and governments but to anyone with a an iphone and an internet connection. The initial objective was to automate the process of drawing lines on paper, though it was quickly realised that digitising maps was the key to unlocking the information they held. However, it took thousands of PhD and MSc projects before a computer could generate a map comparable to that produced by a cartographer and many more before it was possible to extract reliable useful information from maps. It also required advances in IT and a change of mindset from one focused on paper map production to one focused on information delivery. To move from digital maps to Google Maps required the availability of data on a world scale, the resources to bring them together, the development of remote sensing, satellite navigation and communications

  17. Sharing knowledge with Google Earth

    Science.gov (United States)

    2012-08-01

    Marine biologist Laura Stocker led experts in economics, policy and urban and regional planning to develop a participatory approach to climate adaptation and sustainability at Rottnest Island, Australia.

  18. Towards the Development and Validation of a Global Field Size and Irrigation Map using Crowdsourcing, Mobile Apps and Google Earth Engine in support of GEOGLAM

    Science.gov (United States)

    Fritz, S.; Nordling, J.; See, L. M.; McCallum, I.; Perger, C.; Becker-Reshef, I.; Mucher, S.; Bydekerke, L.; Havlik, P.; Kraxner, F.; Obersteiner, M.

    2014-12-01

    The International Institute for Applied Systems Analysis (IIASA) has developed a global cropland extent map, which supports the monitoring and assessment activities of GEOGLAM (Group on Earth Observations Global Agricultural Monitoring Initiative). Through the European-funded SIGMA (Stimulating Innovation for Global Monitoring of Agriculture and its Impact on the Environment in support of GEOGLAM) project, IIASA is continuing to support GEOGLAM by providing cropland projections in the future and modelling environmental impacts on agriculture under various scenarios. In addition, IIASA is focusing on two specific elements within SIGMA: the development of a global field size and irrigation map; and mobile app development for in-situ data collection and validation of remotely-sensed products. Cropland field size is a very useful indicator for agricultural monitoring yet the information we have at a global scale is currently very limited. IIASA has already created a global map of field size at a 1 km resolution using crowdsourced data from Geo-Wiki as a first approximation. Using automatic classification of Landsat imagery and algorithms contained within Google Earth Engine, initial experimentation has shown that circular fields and landscape structures can easily be extracted. Not only will this contribute to improving the global map of field size, it can also be used to create a global map that contains a large proportion of the world's irrigated areas, which will be another useful contribution to GEOGLAM. The field size map will also be used to stratify and develop a global crop map in SIGMA. Mobile app development in support of in-situ data collection is another area where IIASA is currently working. An Android app has been built using the Open Data Toolkit (ODK) and extended further with spatial mapping capabilities called GeoODK. The app allows users to collect data on different crop types and delineate fields on the ground, which can be used to validate the

  19. From data to information: Tools and techniques educators can use to enhance Google Earth imagery with geographic information systems data and three dimensional models

    Science.gov (United States)

    Simms, M.

    2007-12-01

    As with any educational technology, moving beyond basic information delivery to dynamic use can be a challenge and Google Earth (GE) is no exception. Moving beyond annotated placemarks and pictures, educators can utilize free, free-to-educators, and low cost tools to develop learning experiences within GE to facilitate dynamic interaction with real world data in the form of three dimensional models (3D) and geographic information systems data (GIS). Students take an active role in knowledge construction through self-directed navigation in 3D, seeing features of the landscape not in snapshot views found in textbooks, but in situ and in context. By incorporating categorized data, such as what is commonly found in GIS, an added dimension of human interaction can be incorporated. For example, GIS layers such as landuse, soil type, etc. provide students with data tools for investigating the role their community plays in supporting migrating Monarch butterfly habitat. Functionality for changing the appearance of layers in GE facilitates interaction with geospatial data in a manner that creates a type of "visual" GIS and can serve as an advanced organizer for later use of more powerful GIS software. GE can also be used as a metaphor to create a new context for an otherwise abstract concept, for example, scaling 3D models of the sun and planets to the size of a well known football stadium and placing each planet at the corresponding scaled distances from that location. Photorealistic 3D models created using SketchUp and Anim8or may help students relate to an otherwise abstract concept of planetary size and distances. Finally, digital elevation models (DEM) draped with imagery not available in GE or with GIS data can be used to make topic-specific 3D models either used within GE or in a 3D model viewer embedded in a website or email. With a little instruction, students can quickly learn how to make their own models as well. Procedures and software to accomplish each of

  20. Cultural Adventures for the Google[TM] Generation

    Science.gov (United States)

    Dann, Tammy

    2010-01-01

    Google Earth is a computer program that allows users to view the Earth through satellite imagery and maps, to see cities from above and through street views, and to search for addresses and browse locations. Many famous buildings and structures from around the world have detailed 3D views accessible on Google Earth. It is possible to explore the…

  1. 3D Virtual Itinerary for Education Using Google Earth as a Tool for the Recovery of the Geological Heritage of Natural Areas: Application in the “Las Batuecas Valley” Nature Park (Salamanca, Spain

    Directory of Open Access Journals (Sweden)

    Antonio Miguel Martínez-Graña

    2014-11-01

    Full Text Available The objective of this study is to develop a methodology that enhances the value and position of the geological heritage of any natural area in the world using a 3D virtual itinerary. Field applications of this geological itinerary enable students to participate actively in teaching and learning theoretical concepts in the earth sciences and engineering. The educational resources, which include a virtual itinerary, a flight simulator, a field notebook with questionnaires, videos, and an augmented reality developed with Google Earth, provide a familiar and effective learning environment that can be implemented by students daily using new technologies (smartphones, tablets, and iPods and can leverage the power of computer games to achieve the objectives of a specific curriculum. The implementation of geological content in an interactive, educational game has been employed in compulsory levels of secondary education, high school, and college in Batuecas Valley. The geomatic applications are free as they can be accessed from existing computer labs.

  2. Google Apps zijn leuk

    NARCIS (Netherlands)

    den Hollander, Franciscus

    Het bericht dat de Rijksuniversiteit Groningen overgaat op de mailvoorziening en agenda van Google Apps for Education bracht een golf van publiciteit teweeg. Mediaberichten naar aanleiding van de overgang naar Google Apps.

  3. Essays Using Google Data

    OpenAIRE

    Stephens-Davidowitz, Seth Isaac

    2013-01-01

    I show three new ways to use Google search query data. First, I use Google search data to measure racism in the United States and its effect on Obama in the 2008 and 2012 presidential elections. Second, I use Google search data to predict turnout in different parts of the United States prior to an election. Third, I use Google search data to measure child maltreatment and how maltreatment is affected by economic downturns.

  4. Google Pocket Guide

    CERN Document Server

    Calishain, Tara; Adams, DJ

    2003-01-01

    Beneath its deceptively simple search form, Google is a remarkably powerful and flexible search engine that indexes billions of web pages, handling more than 150 million searches a day. You know that what you're looking for must be in there somewhere, but how do you make Google work for you? Crafted from our best-selling Google Hacks title, the Google Pocket Guide provides exactly the information you need to make your searches faster and more effective, right from the start. The Google Pocket Guide unleashes the power behind that blinking cursor by delivering: A thorough but concise tour o

  5. Learning Google Guice

    CERN Document Server

    Pithawala, Hussain

    2013-01-01

    This book is a practical, hands-on guide that covers everything you need to know about application development in Java with dependency injection using Google Guice.Learning Google Guice is for architects and lead programmers who want to know more about Google Guice and how to leverage its more advanced features. It is assumed that readers will have a basic knowledge of dependency injection; however, this is not an obligation.

  6. Google analytics integrations

    CERN Document Server

    Waisberg, Daniel

    2015-01-01

    A roadmap for turning Google Analytics into a centralized marketing analysis platform With Google Analytics Integrations, expert author Daniel Waisberg shows you how to gain a more meaningful, complete view of customers that can drive growth opportunities. This in-depth guide shows not only how to use Google Analytics, but also how to turn this powerful data collection and analysis tool into a central marketing analysis platform for your company. Taking a hands-on approach, this resource explores the integration and analysis of a host of common data sources, including Google AdWords, AdSens

  7. Google je wijs!

    NARCIS (Netherlands)

    Brand-Gruwel, Saskia; Koper, Rob; Kalz, Marco; Van Meeuwen, Ludo; Berkhout, Jeroen; Storm, Jeroen; Wolff, Charlotte

    2011-01-01

    Brand-Gruwel, S., Koper, R., Kalz, M., Van Meeuwen, L., Berkhout, J., Storm, J., & Wolf, C. (2011, december). Google je wijs! Masterclass in de OpenU community. Open universiteit, Heerlen, Nederland. Beschikbaar op http://portal.ou.nl/nl/web/masterclass-google-je-wijs/introductie

  8. Case : Google ventures

    NARCIS (Netherlands)

    Friesike, Sascha; Gassman, Oliver; Schweitzer, Fiona

    2013-01-01

    Google Ventures - the venture capital department of Google - couples the idea of a corporate incubator with the methods of a classical venture capital firm. A corporate incubator strives to create innovation, whereas a venture capital firm's idea is to create money. As such, corporate incubators

  9. Google Scholar's Ghost Authors

    Science.gov (United States)

    Jacso, Peter

    2009-01-01

    In the journal "The Chronicle of Higher Education," an article by Geoffrey Nunberg criticizes Google's Book Search (GBS), emphasizing that disturbing errors are endemic. He recognizes that for mainstream "googling" purposes, "they don't really care about metadata provided by a library catalog." In perhaps his most discouraging point, linguistics…

  10. Google The Missing Manual

    CERN Document Server

    Milstein, Sarah; Dornfest, Rael; MacDonald, Matthew

    2008-01-01

    Google.com is one of the most popular sites on the Internet and is used around the world by millions of people every day. Sure, you know how to "Google it" when you're searching for something--anything!--on the Web. It's plenty fast and easy to use. But did you know how much more you could achieve with the world's best search engine by clicking beyond the "Google Search" button? While you can interface with Google in 97 languages and glean results in 35, you can't find any kind of instruction manual from Google. Lucky for you, our fully updated and greatly expanded second edition to the best

  11. Using Google App Engine

    CERN Document Server

    Severance, Charles

    2009-01-01

    Build exciting, scalable web applications quickly and confidently using Google App Engine and this book, even if you have little or no experience in programming or web development. App Engine is perhaps the most appealing web technology to appear in the last year, providing an easy-to-use application framework with basic web tools. While Google's own tutorial assumes significant experience, Using Google App Engine will help anyone get started with this platform. By the end of this book, you'll know how to build complete, interactive applications and deploy them to the cloud using the same s

  12. Programming Google App Engine

    CERN Document Server

    Sanderson, Dan

    2010-01-01

    As one of today's cloud computing services, Google App Engine does more than provide access to a large system of servers. It also offers you a simple model for building applications that scale automatically to accommodate millions of users. With Programming Google App Engine, you'll get expert practical guidance that will help you make the best use of this powerful platform. Google engineer Dan Sanderson shows you how to design your applications for scalability, including ways to perform common development tasks using App Engine's APIs and scalable services. You'll learn about App Engine's a

  13. Instant Google Drive starter

    CERN Document Server

    Procopio, Mike

    2013-01-01

    This book is a Starter which teaches you how to use Google Drive practically. This book is perfect for people of all skill levels who want to enjoy the benefits of using Google Drive to safely store their files online and in the cloud. It's also great for anyone looking to learn more about cloud computing in general. Readers are expected to have an Internet connection and basic knowledge of using the internet.

  14. Google and the digital divide the bias of online knowledge

    CERN Document Server

    Segev, Elad

    2010-01-01

    Beneficial to scholars and students in the fields of media and communication, politics and technology, this book outlines the significant role of search engines in general and Google in particular in widening the digital divide between individuals, organisations and states. It uses innovative methods and research approaches to assess and illustrate the digital divide by comparing the popular search queries in Google and Yahoo in different countries as well as analysing the various biases in Google News and Google Earth. The different studies developed and presented in this book provide various

  15. Interpretation of earthquake-induced landslides triggered by the 12 May 2008, M7.9 Wenchuan earthquake in the Beichuan area, Sichuan Province, China using satellite imagery and Google Earth

    Science.gov (United States)

    Sato, H.P.; Harp, E.L.

    2009-01-01

    The 12 May 2008 M7.9 Wenchuan earthquake in the People's Republic of China represented a unique opportunity for the international community to use commonly available GIS (Geographic Information System) tools, like Google Earth (GE), to rapidly evaluate and assess landslide hazards triggered by the destructive earthquake and its aftershocks. In order to map earthquake-triggered landslides, we provide details on the applicability and limitations of publicly available 3-day-post- and pre-earthquake imagery provided by GE from the FORMOSAT-2 (formerly ROCSAT-2; Republic of China Satellite 2). We interpreted landslides on the 8-m-resolution FORMOSAT-2 image by GE; as a result, 257 large landslides were mapped with the highest concentration along the Beichuan fault. An estimated density of 0.3 landslides/km2 represents a minimum bound on density given the resolution of available imagery; higher resolution data would have identified more landslides. This is a preliminary study, and further study is needed to understand the landslide characteristics in detail. Although it is best to obtain landslide locations and measurements from satellite imagery having high resolution, it was found that GE is an effective and rapid reconnaissance tool. ?? 2009 Springer-Verlag.

  16. Digital Geology from field to 3D modelling and Google Earth virtual environment: methods and goals from the Furlo Gorge (Northern Apennines - Italy)

    Science.gov (United States)

    De Donatis, Mauro; Susini, Sara

    2014-05-01

    ­-consistent in showing the structural features of the study area. The work was not so straightforward, but the result is more then satisfying, even if some limitations were not solved (i.e. visualisation of bedding attitudes). Geological maps are fundamental for knowledge transfer among experts but, if combined with the innovative digital methods from survey to 3D model, this knowledges could reach a much larger number of people, allowing a cultural growth and the establishment of a larger awareness of the Earth and Environment.

  17. Búsqueda con Google

    OpenAIRE

    Campos, Rosalynn

    2015-01-01

    Recurso educativo digital en forma de Objeto de Aprendizaje. Diseñado para la enseñanza de los tipo de fuentes de información. La estructura del diseño instruccional está dirigido al estilo de aprendizaje pragmático. 1 ¿Qué es un buscador? 2 ¿Qué se puede buscar en Google? 3 Categorías de búsqueda en google 4 ¿Cómo optimizar la búsqueda en Google? (operadores lógicos) 5 Filtrar los contenidos por criterios 6 Búsqueda avanzada 7 Realizar búsqueda seguro Acceder a la inf...

  18. Google Power Search

    CERN Document Server

    Spencer, Stephan

    2011-01-01

    Behind Google's deceptively simple interface is immense power for both market and competitive research-if you know how to use it well. Sure, basic searches are easy, but complex searches require specialized skills. This concise book takes you through the full range of Google's powerful search-refinement features, so you can quickly find the specific information you need. Learn techniques ranging from simple Boolean logic to URL parameters and other advanced tools, and see how they're applied to real-world market research examples. Incorporate advanced search operators such as filetype:, intit

  19. Google+ The Missing Manual

    CERN Document Server

    Purdy, Kevin

    2011-01-01

    If you want to gain more control over your social networking activities with Google+, this jargon-free guide helps you quickly master the ins and outs of the site. Learn how to organize your contacts, hold video chats with as many as ten people, and determine exactly who may learn what about you. With this book, you'll navigate Google+ with ease. The important stuff you need to know Massage your profile. Control what the public, specific groups, or certain individuals can see about you.Move in the right circles. Assign folks to different groups and share the right stuff with the right people

  20. Instant Google Compute Engine

    CERN Document Server

    Papaspyrou, Alexander

    2013-01-01

    Get to grips with a new technology, understand what it is and what it can do for you, and then get to work with the most important features and tasks. This book is a step-by-step guide to installing and using Google Compute Engine.""Instant Google Compute Engine"" is great for developers and operators who are new to Cloud computing, and who are looking to get a good grounding in using Infrastructure-as-a-Service as part of their daily work. It's assumed that you will have some experience with the Linux operating system as well as familiarity with the concept of virtualization technologies, suc

  1. Googling the news

    DEFF Research Database (Denmark)

    Ørmen, Jacob

    2016-01-01

    Search engines provide a window into the changing association between websites and keywords across cultures and countries and over time. As such, they offer journalism and news researchers an opportunity to study how search engines, in this case Google, mediate news events and stories online....... However, search results are not straightforward to study. Since search results are made in the act of searching and will have to be retrieved from Google Search in real-time, there is a range of different ontological and methodological issues related to this data source. This paper addresses these issues...

  2. How Google works

    CERN Document Server

    Schmidt, Eric; Eagle, Alan

    2014-01-01

    Google Executive Chairman and ex-CEO Eric Schmidt and former SVP of Products Jonathan Rosenberg came to Google over a decade ago as proven technology executives. At the time, the company was already well-known for doing things differently, reflecting the visionary--and frequently contrarian--principles of founders Larry Page and Sergey Brin. If Eric and Jonathan were going to succeed, they realized they would have to relearn everything they thought they knew about management and business. Today, Google is a global icon that regularly pushes the boundaries of innovation in a variety of fields. HOW GOOGLE WORKS is an entertaining, page-turning primer containing lessons that Eric and Jonathan learned as they helped build the company. The authors explain how technology has shifted the balance of power from companies to consumers, and that the only way to succeed in this ever-changing landscape is to create superior products and attract a new breed of multifaceted employees whom Eric and Jonathan dub "smart creat...

  3. Google and Godel

    Science.gov (United States)

    Oberdan, Thomas

    2009-01-01

    The article "Is Google Making Us Stupid?" in last Summer's "Atlantic Monthly," raised a number of provocative, and indeed worrisome, questions about computer usage and cognitive development. For instance, persons with considerable experience of reading for the sake of pleasure report that, after a couple of years using computers a great deal, they…

  4. KML-based teaching lessons developed by Google in partnership with the University of Alaska.

    Science.gov (United States)

    Kolb, E. J.; Bailey, J.; Bishop, A.; Cain, J.; Goddard, M.; Hurowitz, K.; Kennedy, K.; Ornduff, T.; Sfraga, M.; Wernecke, J.

    2008-12-01

    The focus of Google's Geo Education outreach efforts (http://www.google.com/educators/geo.html) is on helping primary, secondary, and post-secondary educators incorporate Google Earth and Sky, Google Maps, and SketchUp into their classroom lessons. In this poster and demonstration, we will show our KML-based science lessons that were developed in partnership with the University of Alaska and used in classroom teachings by our team to Alaskan high-school students.

  5. USING GOOGLE+ FOR INSTRUCTION

    Directory of Open Access Journals (Sweden)

    Kevin YEE

    Full Text Available Introduced in July, 2011 in a beta test of invited users only, the new social media service Google+ (or G+ quickly spread by word of mouth, and Google leader Larry Page (2011 blogged that within sixteen days it had 10 million users. By August, it had 25 million users (Cashmore, 2011. Even with slower growth ahead (still with no marketing budget, the service looks likely to crest 100 million users perhaps as early as ten months, a feat that took Facebook three years. Other social networks, most notably Facebook and Twitter, have been used increasingly as instructional tools, since they are platforms with which students are already familiar (Maloney, 2007; McLoughlin & Lee, 2007. Selwyn (2009 found that students often eschew official channels for communication in favor of less formal community-based formats such as Facebook, implying a growing need for instructional communication tools that will be used willingly by students. The question is whether Google+ can be used like Twitter or Facebook to augment instruction, or even, perhaps, to improve upon those predecessors for academic purposes. Google+ is like Twitter in that anyone can follow a given user’s posts. There is no direct “friend” relationship required to read the posts written by others. However, it also approximates some features of Facebook. Rather than friends sorted into “lists” like in Facebook, Google+ allows users to place feeds into one or more “circles,” the better to monitor (or control the flow of information to and from different audiences. Circles are more intuitive, and more central to the experience, than the Facebook lists. They provide an explicit organizational structure, compared to the less-obvious listing functionality, which feels like an afterthought, found in Facebook.

  6. Google ohverdab kasumit / Tarvo Vaarmets

    Index Scriptorium Estoniae

    Vaarmets, Tarvo

    2010-01-01

    Internetikontserni Google II kvartali puhaskasum osutus analüütikute prognoosidest väiksemaks. Google on kasumi hoogsa kasvatamise asemel valinud teise tee - otsida uusi võimalusi, uusi turge ja kasvuallikaid

  7. Google Script Adding Functionality to Your Google Apps

    CERN Document Server

    Ferreira, James

    2012-01-01

    How can you extend Google Apps to fit your organization's needs? This concise guide shows you how to use Google Scripts, the JavaScript-based language that provides a complete web-based development platform-with no downloads, configuration, or compiling required. You'll learn how to add functionality to Gmail, spreadsheets, and other Google services, or build data-driven apps that run from a spreadsheet, in a browser window, or within a Google Site. If you have some Java experience, getting started with Google Scripts is easy. Through code examples and step-by-step instructions, you'll learn

  8. Google App Inventor

    CERN Document Server

    Roberts, Ralph

    2011-01-01

    This book is written in the Beginner's Guide format that takes the reader through a series of steps to build exciting apps using Google's App Inventor. This book is perfect for people with little or no experience, not just Android developers. No matter your level of experience, you will find plenty of information that you can use to create powerful apps, apps that can be published on Android Market and other places.

  9. Búsquedas especializadas en Google

    OpenAIRE

    Alonso, Jorge González; González, Yudeisy Pérez

    2014-01-01

    Para un estudio que estamos realizando sobre el posicionamiento de las revistas cubanas en el Google Académico hemos preparado un Buscador especializado en la búsqueda de todas las revistas educativas cubanas que aparecen en el Portal Educativo Cubano (Cuba Educa)El Buscador permite encontrar para un tema dado todas las publicaciones al respecto que aparezcan en las 20 revistas educativas cubanas que revisa el buscador.  

  10. The LHC on Google

    CERN Multimedia

    2009-01-01

    Where in the world could the LHC outdo Barack Obama in the popularity stakes? On Google, of course! The famous search engine has just published its Top Ten "most popular" and "fastest rising" searches for 2008 in each of 34 countries. Surprise, surprise, the term "Large Hadron Collider" was the 6th fastest rising topic in the United Kingdom and the 10th fastest in New Zealand. In the UK, "Large Hadron Collider" even beat "Obama" into 7th place!

  11. Google Sets, Google Suggest, and Google Search History: Three More Tools for the Reference Librarian's Bag of Tricks

    OpenAIRE

    Cirasella, Jill

    2008-01-01

    This article examines the features, quirks, and uses of Google Sets, Google Suggest, and Google Search History and argues that these three lesser-known Google tools warrant inclusion in the resourceful reference librarian’s bag of tricks.

  12. Google Scholar Versus Metasearch Systems

    CERN Document Server

    Sadeh, Tamar

    2006-01-01

    At the end of 2004, Google launched the beta version of a new service, Google Scholar, which provides a single repository of scholarly information for researchers. Will this service replace metasearch systems? Metasearch systems are based on just-in-time processing, whereas Google Scholar, like other federated searching systems, is based on just-in-case processing. This underlying technology, along with Google Scholar's exceptional capabilities, accords Google Scholar a unique position among other scholarly resources. However, a year after its beta release, Google Scholar is still facing a number of challenges that cause librarians to question its value for scholarly research. Nevertheless, it has become popular among researchers, and the library community is looking for ways to provide patrons with guidelines for the most beneficial manner of using this new resource. Metasearch systems have several advantages over Google Scholar. We anticipate that in the foreseeable future, libraries will continue to provid...

  13. Earth

    CERN Document Server

    Carter, Jason

    2017-01-01

    This curriculum-based, easy-to-follow book teaches young readers about Earth as one of the eight planets in our solar system in astronomical terms. With accessible text, it provides the fundamental information any student needs to begin their studies in astronomy, such as how Earth spins and revolves around the Sun, why it's uniquely suitable for life, its physical features, atmosphere, biosphere, moon, its past, future, and more. To enhance the learning experience, many of the images come directly from NASA. This straightforward title offers the fundamental information any student needs to sp

  14. Using Google Earth Engine To Apply Spectral Mixture Analysis Over Landsat 5TM Imagery To Map Fire Scars In The Alto Teles Pires River Basin, Mato Grosso State, Brazil.

    Science.gov (United States)

    Antunes Daldegan, G.; Ribeiro, F.; Roberts, D. A.

    2016-12-01

    The two most extensive biomes in Brazil, the Amazon Forest and the Cerrado (the Brazilian savanna), are subject to many fire events every dry season. Both biomes are well-known for their ecological and environmental importance but, due to the intensive human occupation over the last decades, they have been experiencing high deforestation rates with much of their natural landscape being converted to agriculture and pasture uses. The Cerrado, as a savanna, has naturally evolved adapted to fire. According to some researchers, this biome has been exposed to fire for the last 25 million years, forging the diversification of many C4 grass species, for example. The Amazon forest does not have similar characteristics and studies have shown that forest areas that have been already burned become more prone to recurrent burns. Forest patches that are close to open areas have their edges exposed to higher insolation and greater turbulence, drying the understory vegetation and litter, turning those areas more susceptible to fire events. In cases where grass species become established in the understory they can be a renewable source of fuel for recurrent burns. This study aimed to identify and map fire scars present in the region of Alto Teles Pires river basin, State of Mato Grosso - Brazil, during 10 years (2002-2011). This region is located in the transition zone between the two biomes and is known for its high deforestation rates. By taking advantage of the Landsat 5TM imagery collection present in Google Earth Engine platform as well as applying Spectral Mixture Analysis (SMA) techniques over them it was possible to estimate fractions of Green Vegetation (GV), Non-Photosynthetic Vegetation (NPV), and Soil targets, which are the surfaces that compose the vast majority of the landscape in the study region. Iteratively running SMA analysis over the imagery using burned vegetation endmembers allowed us to further identify fire scars present in the region, returning excellent

  15. Corso Google per specialisti dell'informazione.

    OpenAIRE

    Piras, Francesco

    2008-01-01

    A teaching course on Google, specially designed to information specialists. The presentation overview on the Google story, than it focused on four points: - the differents and ambiguous faces of Google; - the dialogue between Google and information specialists; - if you can't beat Google, than join him; - strategies to implement Google's tools in the daily work of information specialists.

  16. Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine

    Directory of Open Access Journals (Sweden)

    Jun Xiong

    2017-10-01

    Full Text Available A satellite-derived cropland extent map at high spatial resolution (30-m or better is a must for food and water security analysis. Precise and accurate global cropland extent maps, indicating cropland and non-cropland areas, are starting points to develop higher-level products such as crop watering methods (irrigated or rainfed, cropping intensities (e.g., single, double, or continuous cropping, crop types, cropland fallows, as well as for assessment of cropland productivity (productivity per unit of land, and crop water productivity (productivity per unit of water. Uncertainties associated with the cropland extent map have cascading effects on all higher-level cropland products. However, precise and accurate cropland extent maps at high spatial resolution over large areas (e.g., continents or the globe are challenging to produce due to the small-holder dominant agricultural systems like those found in most of Africa and Asia. Cloud-based geospatial computing platforms and multi-date, multi-sensor satellite image inventories on Google Earth Engine offer opportunities for mapping croplands with precision and accuracy over large areas that satisfy the requirements of broad range of applications. Such maps are expected to provide highly significant improvements compared to existing products, which tend to be coarser in resolution, and often fail to capture fragmented small-holder farms especially in regions with high dynamic change within and across years. To overcome these limitations, in this research we present an approach for cropland extent mapping at high spatial resolution (30-m or better using the 10-day, 10 to 20-m, Sentinel-2 data in combination with 16-day, 30-m, Landsat-8 data on Google Earth Engine (GEE. First, nominal 30-m resolution satellite imagery composites were created from 36,924 scenes of Sentinel-2 and Landsat-8 images for the entire African continent in 2015–2016. These composites were generated using a median-mosaic of

  17. Google Wave Up and Running

    CERN Document Server

    Ferrate, Andres

    2010-01-01

    Catch Google Wave, the revolutionary Internet protocol and web service that lets you communicate and collaborate in realtime. With this book, you'll understand how Google Wave integrates email, instant messaging (IM), wiki, and social networking functionality into a powerful and extensible platform. You'll also learn how to use its features, customize its functions, and build sophisticated extensions with Google Wave's open APIs and network protocol. Written for everyone -- from non-techies to ninja coders -- Google Wave: Up and Running provides a complete tour of this complex platform. You'

  18. Physics the Google Way

    Science.gov (United States)

    Ward, David W.

    2005-09-01

    Are we smarter now than Socrates was in his time? Society as a whole certainly enjoys a higher degree of education, but humans as a species probably don't get intrinsically smarter with time. Our knowledge base, however, continues to grow at an unprecedented rate, so how then do we keep up? The printing press was one of the earliest technological advances that expanded our memory and made possible our present intellectual capacity. We are now faced with a new technological advance of the same magnitude, the Internet, but how do we use it effectively? A new tool is available on Google™ (http://www.google.com)that allows a user not only to numerically evaluate equations but also to automatically perform unit analysis and conversion, with most of the fundamental physical constants built in. This paper describes some of its capabilities.

  19. Corner Office: Google's Dan Clancy

    Science.gov (United States)

    Albanese, Andrew Richard; Oder, Norman

    2009-01-01

    This article presents an interview with Dan Clancy, engineering director for Google Book Search. In this interview, Clancy talks about the pending Google Book Search settlement, involving millions of volumes digitized from libraries, which drew a lawsuit from the Association of American Publishers and the Authors Guild. He also discusses pricing,…

  20. De auteursrechtelijke groeipijnen van Google

    NARCIS (Netherlands)

    Hugenholtz, P.B.

    2011-01-01

    Het succesverhaal van Google behoort tot de canon van de geschiedenis van onze informatiemaatschappij. In 1998 begonnen in een studentenkamer op de campus van Stanford University, groeide Google in enkele jaren uit tot het orakel van het internet. Zo werd ‘googelen’ de gebruikelijke term voor zoeken

  1. Google and personal data protection

    NARCIS (Netherlands)

    van der Sloot, B.; Zuiderveen Borgesius, F.; Lopez-Tarruella, A.

    2012-01-01

    This chapter discusses the interplay between the European personal data protection regime and two specific Google services, Interest-Based Advertising and Google Street View. The chapter assesses first the applicability of the Data Protection Directive, then jurisdictional issues, the principles

  2. Search Our Site With Google

    African Journals Online (AJOL)

    Search Our Site With Google. Journal Home > Search Our Site With Google. Log in or Register to get access to full text downloads. Username, Password, Remember me, or Register · AJOL African Journals Online. HOW TO USE AJOL... for Researchers · for Librarians · for Authors · FAQ's · More about AJOL · AJOL's ...

  3. Towards Google matrix of brain

    Energy Technology Data Exchange (ETDEWEB)

    Shepelyansky, D.L., E-mail: dima@irsamc.ups-tlse.f [Laboratoire de Physique Theorique (IRSAMC), Universite de Toulouse, UPS, F-31062 Toulouse (France); LPT - IRSAMC, CNRS, F-31062 Toulouse (France); Zhirov, O.V. [Budker Institute of Nuclear Physics, 630090 Novosibirsk (Russian Federation)

    2010-07-12

    We apply the approach of the Google matrix, used in computer science and World Wide Web, to description of properties of neuronal networks. The Google matrix G is constructed on the basis of neuronal network of a brain model discussed in PNAS 105 (2008) 3593. We show that the spectrum of eigenvalues of G has a gapless structure with long living relaxation modes. The PageRank of the network becomes delocalized for certain values of the Google damping factor {alpha}. The properties of other eigenstates are also analyzed. We discuss further parallels and similarities between the World Wide Web and neuronal networks.

  4. Towards Google matrix of brain

    International Nuclear Information System (INIS)

    Shepelyansky, D.L.; Zhirov, O.V.

    2010-01-01

    We apply the approach of the Google matrix, used in computer science and World Wide Web, to description of properties of neuronal networks. The Google matrix G is constructed on the basis of neuronal network of a brain model discussed in PNAS 105 (2008) 3593. We show that the spectrum of eigenvalues of G has a gapless structure with long living relaxation modes. The PageRank of the network becomes delocalized for certain values of the Google damping factor α. The properties of other eigenstates are also analyzed. We discuss further parallels and similarities between the World Wide Web and neuronal networks.

  5. Google Tools in the Classroom

    Science.gov (United States)

    Albee, E. M.; Koons, P. O.; Schauffler, M.; Zhu, Y.; Segee, B. E.

    2009-12-01

    The Maine Learning Technology Initiative provides every seventh and eighth grade student in the state with MacBook laptop computers. Limitless education possibilities exist with the inclusion of Google Tools and laptops as learning tools in our modern classrooms. Google Applications allow students to create documents, spreadsheets, charts, graphs, forms, and presentations and easily allows the sharing of information with their fellow classmates and teachers. These applications invite the use of inquiry and critical thinking skills, collaboration among peers, and subject integration to teach students crucial concepts. The benefits for teachers extend into the realm of using Google sites to easily create a teacher website and blog to upload classroom information and create a communication connection for parents and students as well as collaborations between the teachers and University researchers and educators. Google Applications further enhances the possibilities for learning, sharing a wealth of information, and enhancing communication inside and outside of the classroom.

  6. Python for Google app engine

    CERN Document Server

    Pippi, Massimiliano

    2015-01-01

    If you are a Python developer, whether you have experience in web applications development or not, and want to rapidly deploy a scalable backend service or a modern web application on Google App Engine, then this book is for you.

  7. Arctic Basemaps In Google Maps

    DEFF Research Database (Denmark)

    Muggah, J.; Mioc, Darka

    2010-01-01

    the advantages of the use of Google Maps, to display the OMG's Arctic data. The map should should load the large Artic dataset in a reasonable time. The bathymetric images were created using software in Linux written by the OMG, and a step-by-step process was used to create images from the multibeam data...... collected by the OMG in the Arctic. The website was also created using Linux operating system. The projection needed to be changed from Lambert Conformal Conic (useful at higher Latitudes) to Mercator (used by Google Maps) and the data needed to have a common colour scheme. After creating and testing...... a prototype website using Google Ground overlay and Tile overlay, it was determined that the high resolution images (10m) were loading very slowly and the ground overlay method would not be useful for displaying the entire dataset. Therefore the Tile overlays were selected to be used within Google Maps. Tile...

  8. Google Sky: A Digital View of the Night Sky

    Science.gov (United States)

    Connolly, A. Scranton, R.; Ornduff, T.

    2008-11-01

    From its inception Astronomy has been a visual science, from careful observations of the sky using the naked eye, to the use of telescopes and photographs to map the distribution of stars and galaxies, to the current era of digital cameras that can image the sky over many decades of the electromagnetic spectrum. Sky in Google Earth (http://earth.google.com) and Google Sky (http://www.google.com/sky) continue this tradition, providing an intuitive visual interface to some of the largest astronomical imaging surveys of the sky. Streaming multi-color imagery, catalogs, time domain data, as well as annotating interesting astronomical sources and events with placemarks, podcasts and videos, Sky provides a panchromatic view of the universe accessible to anyone with a computer. Beyond a simple exploration of the sky Google Sky enables users to create and share content with others around the world. With an open interface available on Linux, Mac OS X and Windows, and translations of the content into over 20 different languages we present Sky as the embodiment of a virtual telescope for discovery and sharing the excitement of astronomy and science as a whole.

  9. Google Searches and IPO Performance

    OpenAIRE

    Lillefjære, Kamilla Amalie; Ween, Ellen Blegen; Krogsrud, Vilde

    2016-01-01

    We investigate the impact of retail investor attention, measured by Google Search Volume Index (SVI), on price revision, underpricing and post-IPO performance. We also investigate how these three IPO phenomena affect each other. We find that SVI between filing and initial pricing predicts price revision. Furthermore, we find that IPOs with either a very high increase or decrease in Google searches during the filing period experience the highest level of underpricing. Moreover, we find that po...

  10. Exploring Google to Enhance Reference Services

    Science.gov (United States)

    Jia, Peijun

    2011-01-01

    Google is currently recognized as the world's most powerful search engine. Google is so powerful and intuitive that one does not need to possess many skills to use it. However, Google is more than just simple search. For those who have special search skills and know Google's superior search features, it becomes an extraordinary tool. To understand…

  11. Google's Geo Education Outreach: Results and Discussion of Outreach Trip to Alaskan High Schools.

    Science.gov (United States)

    Kolb, E. J.; Bailey, J.; Bishop, A.; Cain, J.; Goddard, M.; Hurowitz, K.; Kennedy, K.; Ornduff, T.; Sfraga, M.; Wernecke, J.

    2008-12-01

    The focus of Google's Geo Education outreach efforts (http://www.google.com/educators/geo.html) is on helping primary, secondary, and post-secondary educators incorporate Google Earth and Sky, Google Maps, and SketchUp into their classroom lessons. In partnership with the University of Alaska, our Geo Education team members visited several remote Alaskan high schools during a one-week period in September. At each school, we led several 40-minute hands-on learning sessions in which Google products were used by the students to investigate local geologic and environmental processes. For the teachers, we provided several resources including follow-on lesson plans, example KML-based lessons, useful URL's, and website resources that multiple users can contribute to. This talk will highlight results of the trip and discuss how educators can access and use Google's Geo Education resources.

  12. Summary how Google's social network changes everything

    CERN Document Server

    2014-01-01

    This work offers a summary of the book: « Google+ for business: How Google's Social Network Changes Everything » by Chris Brogan.Summary of the ideas in Chris Brogan's book « Google+ for business » highlights that the social network created by Google now has lore than 175 million users and is tied to the largest search engines in the world. Therefore, Google+ could end up being the best online business building tool ever developed. So if you can master using Google+ today, you will be well positioned for what happens in the future as Google, YouTube and others continue to bring new developmen

  13. Googling trends in conservation biology.

    Science.gov (United States)

    Proulx, Raphaël; Massicotte, Philippe; Pépino, Marc

    2014-02-01

    Web-crawling approaches, that is, automated programs data mining the internet to obtain information about a particular process, have recently been proposed for monitoring early signs of ecosystem degradation or for establishing crop calendars. However, lack of a clear conceptual and methodological framework has prevented the development of such approaches within the field of conservation biology. Our objective was to illustrate how Google Trends, a freely accessible web-crawling engine, can be used to track changes in timing of biological processes, spatial distribution of invasive species, and level of public awareness about key conservation issues. Google Trends returns the number of internet searches that were made for a keyword in a given region of the world over a defined period. Using data retrieved online for 13 countries, we exemplify how Google Trends can be used to study the timing of biological processes, such as the seasonal recurrence of pollen release or mosquito outbreaks across a latitudinal gradient. We mapped the spatial extent of results from Google Trends for 5 invasive species in the United States and found geographic patterns in invasions that are consistent with their coarse-grained distribution at state levels. From 2004 through 2012, Google Trends showed that the level of public interest and awareness about conservation issues related to ecosystem services, biodiversity, and climate change increased, decreased, and followed both trends, respectively. Finally, to further the development of research approaches at the interface of conservation biology, collective knowledge, and environmental management, we developed an algorithm that allows the rapid retrieval of Google Trends data. © 2013 Society for Conservation Biology.

  14. Google BigQuery analytics

    CERN Document Server

    Tigani, Jordan

    2014-01-01

    How to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets Google BigQuery Analytics is the perfect guide for business and data analysts who want the latest tips on running complex queries and writing code to communicate with the BigQuery API. The book uses real-world examples to demonstrate current best practices and techniques, and also explains and demonstrates streaming ingestion, transformation via Hadoop in Google Compute engine, AppEngine datastore integration, and using GViz with Tableau to generate charts of query results. In addit

  15. Ethics of using Google Analytics

    OpenAIRE

    McKenzie, Janis

    2017-01-01

    An introduction to the issue of user privacy concerns arising when libraries use Google Analytics and other user data tracking services, and how the use of these tools can conflict with professional ethics and values. Includes a brief reading list. 

  16. The Success of Google Search, the Failure of Google Health and the Future of Google Plus

    NARCIS (Netherlands)

    Landeweerd, H.R.A.; Spil, Antonius A.M.; Klein, Richard; Dwivedi, Yogesh K.; Henriksen, Helle Zinner; Wastell, David; De, Rahul

    2013-01-01

    What makes an e-commerce company successful? In 2011 24% of venture capital in the US went into Internet companies adding up to a total of $6.9 billion (PwC & NVCA, 2011). With such high stakes the question of e-commerce success is more topical than ever. Google, one of the biggest e-commerce

  17. Leveraging Google Geo Tools for Interactive STEM Education: Insights from the GEODE Project

    Science.gov (United States)

    Dordevic, M.; Whitmeyer, S. J.; De Paor, D. G.; Karabinos, P.; Burgin, S.; Coba, F.; Bentley, C.; St John, K. K.

    2016-12-01

    Web-based imagery and geospatial tools have transformed our ability to immerse students in global virtual environments. Google's suite of geospatial tools, such as Google Earth (± Engine), Google Maps, and Street View, allow developers and instructors to create interactive and immersive environments, where students can investigate and resolve common misconceptions in STEM concepts and natural processes. The GEODE (.net) project is developing digital resources to enhance STEM education. These include virtual field experiences (VFEs), such as an interactive visualization of the breakup of the Pangaea supercontinent, a "Grand Tour of the Terrestrial Planets," and GigaPan-based VFEs of sites like the Canadian Rockies. Web-based challenges, such as EarthQuiz (.net) and the "Fold Analysis Challenge," incorporate scaffolded investigations of geoscience concepts. EarthQuiz features web-hosted imagery, such as Street View, Photo Spheres, GigaPans, and Satellite View, as the basis for guided inquiry. In the Fold Analysis Challenge, upper-level undergraduates use Google Earth to evaluate a doubly-plunging fold at Sheep Mountain, WY. GEODE.net also features: "Reasons for the Seasons"—a Google Earth-based visualization that addresses misconceptions that abound amongst students, teachers, and the public, many of whom believe that seasonality is caused by large variations in Earth's distance from the Sun; "Plate Euler Pole Finder," which helps students understand rotational motion of tectonic plates on the globe; and "Exploring Marine Sediments Using Google Earth," an exercise that uses empirical data to explore the surficial distribution of marine sediments in the modern ocean. The GEODE research team includes the authors and: Heather Almquist, Cinzia Cervato, Gene Cooper, Helen Crompton, Terry Pavlis, Jen Piatek, Bill Richards, Jeff Ryan, Ron Schott, Barb Tewksbury, and their students and collaborating colleagues. We are supported by NSF DUE 1323419 and a Google Geo

  18. Google Books e le scienze (postumane

    Directory of Open Access Journals (Sweden)

    Mazzola, Roberto

    2015-12-01

    Full Text Available Google books and the (postHumanities. This article examines some steps of the evolution of the relationship between computer science and humanities and focuses on the activity of Google in the digitization, preservation and dissemination of cultural assets. In particular it critically analyses the role of Google Books and the meaning of the Big Data in the Digital Humanities.

  19. Building Web Apps for Google TV

    CERN Document Server

    Ferrate, Andres; Lee, Daniels; Ohye, Maile; Carff, Paul; Shen, Shawn; Hines, Steven

    2011-01-01

    By integrating the Web with traditional TV, Google TV offers developers an important new channel for content. But creating apps for Google TV requires learning some new skills-in fact, what you may already know about mobile or desktop web apps isn't entirely applicable. Building Web Apps for Google TV will help you make the transition to Google TV as you learn the tools and techniques necessary to build sophisticated web apps for this platform. This book shows you how Google TV works, how it fits into the web ecosystem, and what the opportunities are for delivering rich content to millions o

  20. Using Google Streetview Panoramic Imagery for Geoscience Education

    Science.gov (United States)

    De Paor, D. G.; Dordevic, M. M.

    2014-12-01

    Google Streetview is a feature of Google Maps and Google Earth that allows viewers to switch from map or satellite view to 360° panoramic imagery recorded close to the ground. Most panoramas are recorded by Google engineers using special cameras mounted on the roofs of cars. Bicycles, snowmobiles, and boats have also been used and sometimes the camera has been mounted on a backpack for off-road use by hikers and skiers or attached to scuba-diving gear for "Underwater Streetview (sic)." Streetview panoramas are linked together so that the viewer can change viewpoint by clicking forward and reverse buttons. They therefore create a 4-D touring effect. As part of the GEODE project ("Google Earth for Onsite and Distance Education"), we are experimenting with the use of Streetview imagery for geoscience education. Our web-based test application allows instructors to select locations for students to study. Students are presented with a set of questions or tasks that they must address by studying the panoramic imagery. Questions include identification of rock types, structures such as faults, and general geological setting. The student view is locked into Streetview mode until they submit their answers, whereupon the map and satellite views become available, allowing students to zoom out and verify their location on Earth. Student learning is scaffolded by automatic computerized feedback. There are lots of existing Streetview panoramas with rich geological content. Additionally, instructors and members of the general public can create panoramas, including 360° Photo Spheres, by stitching images taken with their mobiles devices and submitting them to Google for evaluation and hosting. A multi-thousand-dollar, multi-directional camera and mount can be purchased from DIY-streetview.com. This allows power users to generate their own high-resolution panoramas. A cheaper, 360° video camera is soon to be released according to geonaute.com. Thus there are opportunities for

  1. Google Web Toolkit for Ajax

    CERN Document Server

    Perry, Bruce

    2007-01-01

    The Google Web Toolkit (GWT) is a nifty framework that Java programmers can use to create Ajax applications. The GWT allows you to create an Ajax application in your favorite IDE, such as IntelliJ IDEA or Eclipse, using paradigms and mechanisms similar to programming a Java Swing application. After you code the application in Java, the GWT's tools generate the JavaScript code the application needs. You can also use typical Java project tools such as JUnit and Ant when creating GWT applications. The GWT is a free download, and you can freely distribute the client- and server-side code you c

  2. Google e il patrimonio culturale italiano

    Directory of Open Access Journals (Sweden)

    Elisa Bonacini

    2014-04-01

    Full Text Available ITIn questo lavoro si intende ricostruire il ruolo svolto dal motore di ricerca google nella moderna società culturale e, soprattutto, il ruolo svolto da google nella comunicazione e valorizzazione del patrimonio culturale italiano attraverso il cultural institute e tutti i software e gli applicativi che google mette a disposizione della cultura.ENAim of this paper is the reconstruction of google’s role in modern cultural society and, above all, its role through the google cultural institute and its many softwares and applications, for communication and dissemination of italian cultural heritage.

  3. Manipulating Google Scholar Citations and Google Scholar Metrics: simple, easy and tempting

    OpenAIRE

    Lopez-Cozar, Emilio Delgado; Robinson-Garcia, Nicolas; Torres-Salinas, Daniel

    2012-01-01

    The launch of Google Scholar Citations and Google Scholar Metrics may provoke a revolution in the research evaluation field as it places within every researchers reach tools that allow bibliometric measuring. In order to alert the research community over how easily one can manipulate the data and bibliometric indicators offered by Google s products we present an experiment in which we manipulate the Google Citations profiles of a research group through the creation of false documents that cit...

  4. Aggregating Google Trends: Multivariate Testing and Analysis

    OpenAIRE

    France, Stephen L.; Shi, Yuying

    2017-01-01

    Google Trends is a valuable source of econnomic information. Previous studies have utilized Google Trends data for economic forcasting. We expand this work by providing algorithms to combine and aggregate Trends data and show how time series clustering can be used to analyze competition.

  5. Google Scholar Usage: An Academic Library's Experience

    Science.gov (United States)

    Wang, Ya; Howard, Pamela

    2012-01-01

    Google Scholar is a free service that provides a simple way to broadly search for scholarly works and to connect patrons with the resources libraries provide. The researchers in this study analyzed Google Scholar usage data from 2006 for three library tools at San Francisco State University: SFX link resolver, Web Access Management proxy server,…

  6. Over de wiskunde die Google groot maakte

    NARCIS (Netherlands)

    Brandts, J.

    2008-01-01

    Google vindt in een oogwenk de meest relevante web-bladzijden over een bepaald onderwerp. Omdat het web uit zo'n tien miljard bladzijden bestaat is dit een enorm indrukwekkende prestatie: het lijkt eenvoudiger om een naald in een hooiberg te vinden. De kracht van Google schuilt in de mathematische

  7. Google Analytics: Single Page Traffic Reports

    Science.gov (United States)

    These are pages that live outside of Google Analytics (GA) but allow you to view GA data for any individual page on either the public EPA web or EPA intranet. You do need to log in to Google Analytics to view them.

  8. Google me one-click democracy

    CERN Document Server

    Cassin, Barbara

    2017-01-01

    A witty, philosophically-informed, and openly polemical critique by Barbara Cassin of Google that looks at Google's claims to organize knowledge, and its alleged ethical basis. This critique goes to the heart of the assumed benefits to humanity of increasingly advanced internet technology.

  9. Google Scholar and the Continuing Education Literature

    Science.gov (United States)

    Howland, Jared L.; Howell, Scott; Wright, Thomas C.; Dickson, Cody

    2009-01-01

    The recent introduction of Google Scholar has renewed hope that someday a powerful research tool will bring continuing education literature more quickly, freely, and completely to one's computer. The authors suggest that using Google Scholar with other traditional search methods will narrow the research gap between what is discoverable and…

  10. Google Scholar: The 800-Pound Gorilla in the Room

    Science.gov (United States)

    Shapiro, Steven

    2012-01-01

    There is a "clash of civilizations" going on in the information field--a clash characterized by a brash upstart, Google, and its attendant creations, Google Scholar and Google Books, and the old guard represented by the library world. Librarians who deprecate Google Scholar or simply ignore the Google phenomenon do so at their own risk. Google…

  11. Google searches help with diagnosis in dermatology.

    Science.gov (United States)

    Amri, Montassar; Feroz, Kaliyadan

    2014-01-01

    Several previous studies have tried to assess the usefulness of Google search as a diagnostic aid. The results were discordant and have led to controversies. To investigate how often Google search is helpful to reach correct diagnoses in dermatology. Two fifth-year students (A and B) and one demonstrator (C) have participated as investigators in this paper. Twenty-five diagnostic dermatological cases were selected from all the clinical cases published in the Web only images in clinical medicine from March 2005 to November 2009. The main outcome measure of our paper was to compare the number of correct diagnoses provided by the investigators without, and with Google search. Investigator A gave correct diagnoses in 9/25 (36%) cases without Google search, his diagnostic success after Google search was 18/25 (72%). Investigator B results were 11/25 (44%) correct diagnoses without Google search, and 19/25 (76%) after this search. For investigator C, the results were 12/25 (48%) without Google search, and 18/25 (72%) after the use of this tool. Thus, the total correct diagnoses provided by the three investigators were 32 (42.6%) without Google search, and 55 (73.3%) when using this facility. The difference was statistically significant between the total number of correct diagnoses given by the three investigators without, and with Google search (p = 0.0002). In the light of our paper, Google search appears to be an interesting diagnostic aid in dermatology. However, we emphasize that diagnosis is primarily an art based on clinical skills and experience.

  12. GoogleMars, A Visualization Of Mariner 9 UVS Data

    Science.gov (United States)

    Simmons, Karen E.; Mankoff, K. D.; Barth, C. A.

    2012-10-01

    A new Mariner 9 UV Reflectance data set has been created using Mars data from the Mariner 9 Ultraviolet Spectrometer (UVS) [1] instrument and solar irradiance data from the SORCE mission [2]. Each 2107 to 3497A Reflectance spectrum was then coded into a KML file, called GoogleMars, for visualization with the Google Earth Mars layer using a new library of kdm-idl code [3]. This code produces a file that displays each Reflectance spectrum as a color-coded rectangular field-of-view footprint on the Mars image so that direct comparison with image features can be seen. At these wavelengths the pressure of the atmosphere, the presence of dust, ozone, ice crystals and the ground albedo influences the intensity. Besides displaying all of the Reflectance spectrum footprints from the loaded orbits, this KML code also allows the user to display additional detail for individual footprints in several ways: a) by zooming in on a portion of an orbit a set of balloons appear containing each Reflectance spectrum plotted between 2100 and 3500A for each footprint or b) by selecting a specific footprint, a more detailed balloon containing the Reflectance plotted between 2100 and 3500A plus the viewing geometry, date and spacecraft clock (DAS) time, along with the orbit number and the 3049A Reflectance value is displayed. For a detailed description and to further explore the Mariner 9 UVS GoogleMars KML data set go to http://lasp.colorado.edu/home/mariner9/GoogleMars. This Mariner 9 UVS instrument web site contains complete instructions to use the GoogleMars tool, a detailed description of the reanalysis process and access to the new Mariner 9 UVS Reflectance data sets. This work was supported from ROSES grant NNX09AM04GS04. References [1] Hord C. W., Barth C. A., Pearce J.B., Icarus, 12, 63-77 (1970). [2] http://lasp.colorado.edu/sorce/data [3] https://code.google.com/p/kdm-idl/

  13. Using Google Earth to Teach Plate Tectonics and Science Explanations

    Science.gov (United States)

    Blank, Lisa M.; Plautz, Mike; Almquist, Heather; Crews, Jeff; Estrada, Jen

    2012-01-01

    "A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas" emphasizes that the practice of science is inherently a model-building activity focused on constructing explanations using evidence and reasoning (NRC 2012). Because building and refining is an iterative process, middle school students may view this practice…

  14. Use of Google Scholar in corpus-driven EAP research

    NARCIS (Netherlands)

    Brezina, V.

    2012-01-01

    This primarily methodological article makes a proposition for linguistic exploration of textual resources available through the Google Scholar search engine. These resources (Google Scholar virtual corpus) are significantly larger than any existing corpus of academic writing. Google Scholar,

  15. Google Maps Mashups of NASA Data Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Search, analysis and display of NASA science data by non-GIS experts can be facilitated using so-called "Web 2.0" technologies. Google Maps is a popular geospatial...

  16. Google Analytics – Index of Resources

    Science.gov (United States)

    Find how-to and best practice resources and training for accessing and understanding EPA's Google Analytics (GA) tools, including how to create reports that will help you improve and maintain the web areas you manage.

  17. What are Segments in Google Analytics

    Science.gov (United States)

    Segments find all sessions that meet a specific condition. You can then apply this segment to any report in Google Analytics (GA). Segments are a way of identifying sessions and users while filters identify specific events, like pageviews.

  18. Google@miljardiklubi.com / Neeme Raud

    Index Scriptorium Estoniae

    Raud, Neeme, 1969-

    2004-01-01

    Google'i otsingumootori loojad, ettevõtte omanikud Larry Page ja Sergei Brin kavandavad erinevat kaalu omavate aktsiate müüki, mille puhul ettevõtte juhid soovivad säilitada kontrolli firma tuleviku üle ja jätta endale 2/3 aktsiatest. Wall Street'i analüütikute arvamusi. Diagramm: Google'i puhaskasum, mln dlr. Vt. samas: Halb stsenaarium: +11 miljardit, hea +30 miljardit dollarit

  19. Google Book Search: The Good, the Bad, & the Ugly

    Science.gov (United States)

    Schaffhauser, Dian

    2008-01-01

    Google is opening up whole new worlds for internet surfers and researchers everywhere. Google Book Search (books.google.com), which is still in beta after several years of testing, offers the ubiquitous Google search box on its home page. It also has categories of books as well as book cover images that refresh every time the home page is…

  20. MAPCERN links to Google Street View

    CERN Multimedia

    Matilda Heron

    2015-01-01

    CERN’s online maps, MAPCERN, now have the added bonus of Google Street View, thanks to the new release of images of many CERN sites captured by Google.   New Street View images of CERN sites have been added to MAPCERN, see bottom-right-hand image in the screenshot above.   Google Street View, an integrated service of Google Maps introduced in 2007, links 360-degree panoramic photos into a virtual tour. CERN and Google began collaborating on this Street View project in 2010 and now these Street View images have been embedded into MAPCERN, accessible by clicking the “Street View” tab in MAPCERN’s bottom-right-hand window. If you need to locate a building at CERN, or plan an operation on some equipment, you can save time by using the Street View images to check out the area in advance. The CERN Meyrin site has been fully mapped, as well as the surfaces of the eight LHC points, BA2 and BA3. New Street View images of CERN, including the Pr...

  1. Moving to Google Cloud: Renovation of Global Borehole Temperature Database for Climate Research

    Science.gov (United States)

    Xiong, Y.; Huang, S.

    2013-12-01

    Borehole temperature comprises an independent archive of information on climate change which is complementary to the instrumental and other proxy climate records. With support from the international geothermal community, a global database of borehole temperatures has been constructed for the specific purpose of the study on climate change. Although this database has become an important data source in climate research, there are certain limitations partially because the framework of the existing borehole temperature database was hand-coded some twenty years ago. A database renovation work is now underway to take the advantages of the contemporary online database technologies. The major intended improvements include 1) dynamically linking a borehole site to Google Earth to allow for inspection of site specific geographical information; 2) dynamically linking an original key reference of a given borehole site to Google Scholar to allow for a complete list of related publications; and 3) enabling site selection and data download based on country, coordinate range, and contributor. There appears to be a good match between the enhancement requirements for this database and the functionalities of the newly released Google Fusion Tables application. Google Fusion Tables is a cloud-based service for data management, integration, and visualization. This experimental application can consolidate related online resources such as Google Earth, Google Scholar, and Google Drive for sharing and enriching an online database. It is user friendly, allowing users to apply filters and to further explore the internet for additional information regarding the selected data. The users also have ways to map, to chart, and to calculate on the selected data, and to download just the subset needed. The figure below is a snapshot of the database currently under Google Fusion Tables renovation. We invite contribution and feedback from the geothermal and climate research community to make the

  2. Evaluating Google Compute Engine with PROOF

    Science.gov (United States)

    Ganis, Gerardo; Panitkin, Sergey

    2014-06-01

    The advent of private and commercial cloud platforms has opened the question of evaluating the cost-effectiveness of such solution for computing in High Energy Physics . Google Compute Engine (GCE) is a IaaS product launched by Google as an experimental platform during 2012 and now open to the public market. In this contribution we present the results of a set of CPU-intensive and I/O-intensive tests we have run with PROOF on a GCE resources made available by Google for test purposes. We have run tests on large scale PROOF clusters (up to 1000 workers) to study the overall scalability of coordinated multi-process jobs. We have studied and compared the performance of ephemeral and persistent storage with PROOF-Lite on the single machines and of standard PROOF on the whole cluster. We will discuss our results in perspective, in particular with respect to the typical analysis needs of an LHC experiment.

  3. Google and the culture of search

    CERN Document Server

    Hillis, Ken; Jarrett, Kylie

    2013-01-01

    What did you do before Google? The rise of Google as the dominant Internet search provider reflects a generationally-inflected notion that everything that matters is now on the Web, and should, in the moral sense of the verb, be accessible through search. In this theoretically nuanced study of search technology's broader implications for knowledge production and social relations, the authors shed light on a culture of search in which our increasing reliance on search engines influences not only the way we navigate, classify, and evaluate Web content, but also how we think about ourselves and the world around us, online and off. Ken Hillis, Michael Petit, and Kylie Jarrett seek to understand the ascendancy of search and its naturalization by historicizing and contextualizing Google's dominance of the search industry, and suggest that the contemporary culture of search is inextricably bound up with a metaphysical longing to manage, order, and categorize all knowledge. Calling upon this nexus between political e...

  4. Estimating suicide occurrence statistics using Google Trends

    Directory of Open Access Journals (Sweden)

    Ladislav Kristoufek

    2016-11-01

    Full Text Available Abstract Data on the number of people who have committed suicide tends to be reported with a substantial time lag of around two years. We examine whether online activity measured by Google searches can help us improve estimates of the number of suicide occurrences in England before official figures are released. Specifically, we analyse how data on the number of Google searches for the terms ‘depression’ and ‘suicide’ relate to the number of suicides between 2004 and 2013. We find that estimates drawing on Google data are significantly better than estimates using previous suicide data alone. We show that a greater number of searches for the term ‘depression’ is related to fewer suicides, whereas a greater number of searches for the term ‘suicide’ is related to more suicides. Data on suicide related search behaviour can be used to improve current estimates of the number of suicide occurrences.

  5. Evaluating Google compute engine with PROOF

    International Nuclear Information System (INIS)

    Ganis, Gerardo; Panitkin, Sergey

    2014-01-01

    The advent of private and commercial cloud platforms has opened the question of evaluating the cost-effectiveness of such solution for computing in High Energy Physics . Google Compute Engine (GCE) is a IaaS product launched by Google as an experimental platform during 2012 and now open to the public market. In this contribution we present the results of a set of CPU-intensive and I/O-intensive tests we have run with PROOF on a GCE resources made available by Google for test purposes. We have run tests on large scale PROOF clusters (up to 1000 workers) to study the overall scalability of coordinated multi-process jobs. We have studied and compared the performance of ephemeral and persistent storage with PROOF-Lite on the single machines and of standard PROOF on the whole cluster. We will discuss our results in perspective, in particular with respect to the typical analysis needs of an LHC experiment.

  6. Google Glass - Dazzling Yet Brittle Technology

    Directory of Open Access Journals (Sweden)

    Saideep Koppaka

    2015-08-01

    Full Text Available In todays digital world everyones carrying a mobile phone a laptop and a tablet. All the devices mentioned above need to be carried by an individual in his bag or in his pocket. Google tried to bring up a wearable revolution with the introduction of Google glass. It is a wearable computer with an optical head mounted display that is worn like a pair of glasses. This paper will discuss the technology working benefits and concerns over the first wearable computer.

  7. Using Google Tag Manager and Google Analytics to track DSpace metadata fields as custom dimensions

    Directory of Open Access Journals (Sweden)

    Suzanna Conrad

    2015-01-01

    Full Text Available DSpace can be problematic for those interested in tracking download and pageview statistics granularly. Some libraries have implemented code to track events on websites and some have experimented with using Google Tag Manager to automate event tagging in DSpace. While these approaches make it possible to track download statistics, granular details such as authors, content types, titles, advisors, and other fields for which metadata exist are generally not tracked in DSpace or Google Analytics without coding. Moreover, it can be time consuming to track and assess pageview data and relate that data back to particular metadata fields. This article will detail the learning process of incorporating custom dimensions for tracking these detailed fields including trial and error attempts to use the data import function manually in Google Analytics, to automate the data import using Google APIs, and finally to automate the collection of dimension data in Google Tag Manager by mimicking SEO practices for capturing meta tags. This specific case study refers to using Google Tag Manager and Google Analytics with DSpace; however, this method may also be applied to other types of websites or systems.

  8. Law librarian use of google and its apps & features

    CERN Document Server

    2016-01-01

    This 200+ page study present detailed data and commentary about how law librarians are using Google and its apps and features such as: Gmail, Google Scholar, Google Drive, Notifications, Alerts, Google Books, Google Maps, Chrome, Google Images, Google+, Hangouts, Calendar, Translate, Google Public Data Explorer and many other applications. The reports presents data on how valued each of these services are and who is using them, how much and with what impact. Google is a major productivity tool and its proper use enormously benefits law librarians who know best how to exploit its many free and relatively low cost features. This report quantifies and details their efforts. Data is broken out by many criteria such as type of law library, work title of librarian, and age, gender and compensation level of librarian, among others.

  9. Manipular Google Scholar Citations y Google Scholar Metrics: simple, sencillo y tentador

    OpenAIRE

    Emilio Delgado López-Cózar; Nicolás Robinson-García; Daniel Torres-Salinas

    2012-01-01

    La aparición de Google Scholar Citations y Google Scholar Metrics puede suponer una auténtica revolución en la mundo de la evaluación científica porque pone al alcance de todos los científicos herramientas para la medición bibliométrica. Con el fin de alertar a la comunidad científica de la facilidad que existe para manipular los datos e indicadores bibliométricos que proporcionan estos productos de Google, se ha realizado un experimento consistente en la manipulación del impacto de los miemb...

  10. Google's Evolution Leads to Library Revolution

    Science.gov (United States)

    Jaworski, Susan; Sullivan, Roberta

    2011-01-01

    Do library catalogs compete with Google or is it the other way around? We know which came first but which will finish in the end? Only trained library professionals were considered qualified to develop reliable catalog records. However, with the increased sophistication of search engines, we are beginning to realize that a collaborative effort may…

  11. Google matrix, dynamical attractors, and Ulam networks.

    Science.gov (United States)

    Shepelyansky, D L; Zhirov, O V

    2010-03-01

    We study the properties of the Google matrix generated by a coarse-grained Perron-Frobenius operator of the Chirikov typical map with dissipation. The finite-size matrix approximant of this operator is constructed by the Ulam method. This method applied to the simple dynamical model generates directed Ulam networks with approximate scale-free scaling and characteristics being in certain features similar to those of the world wide web with approximate scale-free degree distributions as well as two characteristics similar to the web: a power-law decay in PageRank that mirrors the decay of PageRank on the world wide web and a sensitivity to the value alpha in PageRank. The simple dynamical attractors play here the role of popular websites with a strong concentration of PageRank. A variation in the Google parameter alpha or other parameters of the dynamical map can drive the PageRank of the Google matrix to a delocalized phase with a strange attractor where the Google search becomes inefficient.

  12. The Privilege of Ranking: Google Plays Ball.

    Science.gov (United States)

    Wiggins, Richard

    2003-01-01

    Discussion of ranking systems used in various settings, including college football and academic admissions, focuses on the Google search engine. Explains the PageRank mathematical formula that scores Web pages by connecting the number of links; limitations, including authenticity and accuracy of ranked Web pages; relevancy; adjusting algorithms;…

  13. The Google I decision in a nutshell

    DEFF Research Database (Denmark)

    Bergqvist, Christian

    2018-01-01

    On 18 December, the Commission – finally – published its June 2017 Google decision. It is highly suggested reading for the competition law legal community. The decision is noteworthy for its brevity at 216 pages, compared to the 518-page Intel decision (2009) 302-page Microsoft decision (2004...

  14. Wat komt bovenaan de lijst bij Google?

    NARCIS (Netherlands)

    Litvak, Nelly

    2006-01-01

    In 1998 presenteerden de PhD-studenten Sergey Brin en Larry Page uit Stanford het artikel ‘The anatomy of a Large-Scale Hypertextual Web Search Engine’ op het zevende World-Wide-Web-congres in Brisbane, Australië. Zij beschreven de Web-zoekmachine Google, waarvan de blanco bladzijde tegenwoordig zo

  15. Creating Web Area Segments with Google Analytics

    Science.gov (United States)

    Segments allow you to quickly access data for a predefined set of Sessions or Users, such as government or education users, or sessions in a particular state. You can then apply this segment to any report within the Google Analytics (GA) interface.

  16. Influenza forecasting with Google Flu Trends.

    Science.gov (United States)

    Dugas, Andrea Freyer; Jalalpour, Mehdi; Gel, Yulia; Levin, Scott; Torcaso, Fred; Igusa, Takeru; Rothman, Richard E

    2013-01-01

    We developed a practical influenza forecast model based on real-time, geographically focused, and easy to access data, designed to provide individual medical centers with advanced warning of the expected number of influenza cases, thus allowing for sufficient time to implement interventions. Secondly, we evaluated the effects of incorporating a real-time influenza surveillance system, Google Flu Trends, and meteorological and temporal information on forecast accuracy. Forecast models designed to predict one week in advance were developed from weekly counts of confirmed influenza cases over seven seasons (2004-2011) divided into seven training and out-of-sample verification sets. Forecasting procedures using classical Box-Jenkins, generalized linear models (GLM), and generalized linear autoregressive moving average (GARMA) methods were employed to develop the final model and assess the relative contribution of external variables such as, Google Flu Trends, meteorological data, and temporal information. A GARMA(3,0) forecast model with Negative Binomial distribution integrating Google Flu Trends information provided the most accurate influenza case predictions. The model, on the average, predicts weekly influenza cases during 7 out-of-sample outbreaks within 7 cases for 83% of estimates. Google Flu Trend data was the only source of external information to provide statistically significant forecast improvements over the base model in four of the seven out-of-sample verification sets. Overall, the p-value of adding this external information to the model is 0.0005. The other exogenous variables did not yield a statistically significant improvement in any of the verification sets. Integer-valued autoregression of influenza cases provides a strong base forecast model, which is enhanced by the addition of Google Flu Trends confirming the predictive capabilities of search query based syndromic surveillance. This accessible and flexible forecast model can be used by

  17. Influenza forecasting with Google Flu Trends.

    Directory of Open Access Journals (Sweden)

    Andrea Freyer Dugas

    Full Text Available BACKGROUND: We developed a practical influenza forecast model based on real-time, geographically focused, and easy to access data, designed to provide individual medical centers with advanced warning of the expected number of influenza cases, thus allowing for sufficient time to implement interventions. Secondly, we evaluated the effects of incorporating a real-time influenza surveillance system, Google Flu Trends, and meteorological and temporal information on forecast accuracy. METHODS: Forecast models designed to predict one week in advance were developed from weekly counts of confirmed influenza cases over seven seasons (2004-2011 divided into seven training and out-of-sample verification sets. Forecasting procedures using classical Box-Jenkins, generalized linear models (GLM, and generalized linear autoregressive moving average (GARMA methods were employed to develop the final model and assess the relative contribution of external variables such as, Google Flu Trends, meteorological data, and temporal information. RESULTS: A GARMA(3,0 forecast model with Negative Binomial distribution integrating Google Flu Trends information provided the most accurate influenza case predictions. The model, on the average, predicts weekly influenza cases during 7 out-of-sample outbreaks within 7 cases for 83% of estimates. Google Flu Trend data was the only source of external information to provide statistically significant forecast improvements over the base model in four of the seven out-of-sample verification sets. Overall, the p-value of adding this external information to the model is 0.0005. The other exogenous variables did not yield a statistically significant improvement in any of the verification sets. CONCLUSIONS: Integer-valued autoregression of influenza cases provides a strong base forecast model, which is enhanced by the addition of Google Flu Trends confirming the predictive capabilities of search query based syndromic surveillance. This

  18. Immunochromatographic diagnostic test analysis using Google Glass.

    Science.gov (United States)

    Feng, Steve; Caire, Romain; Cortazar, Bingen; Turan, Mehmet; Wong, Andrew; Ozcan, Aydogan

    2014-03-25

    We demonstrate a Google Glass-based rapid diagnostic test (RDT) reader platform capable of qualitative and quantitative measurements of various lateral flow immunochromatographic assays and similar biomedical diagnostics tests. Using a custom-written Glass application and without any external hardware attachments, one or more RDTs labeled with Quick Response (QR) code identifiers are simultaneously imaged using the built-in camera of the Google Glass that is based on a hands-free and voice-controlled interface and digitally transmitted to a server for digital processing. The acquired JPEG images are automatically processed to locate all the RDTs and, for each RDT, to produce a quantitative diagnostic result, which is returned to the Google Glass (i.e., the user) and also stored on a central server along with the RDT image, QR code, and other related information (e.g., demographic data). The same server also provides a dynamic spatiotemporal map and real-time statistics for uploaded RDT results accessible through Internet browsers. We tested this Google Glass-based diagnostic platform using qualitative (i.e., yes/no) human immunodeficiency virus (HIV) and quantitative prostate-specific antigen (PSA) tests. For the quantitative RDTs, we measured activated tests at various concentrations ranging from 0 to 200 ng/mL for free and total PSA. This wearable RDT reader platform running on Google Glass combines a hands-free sensing and image capture interface with powerful servers running our custom image processing codes, and it can be quite useful for real-time spatiotemporal tracking of various diseases and personal medical conditions, providing a valuable tool for epidemiology and mobile health.

  19. Next-generation Digital Earth.

    Science.gov (United States)

    Goodchild, Michael F; Guo, Huadong; Annoni, Alessandro; Bian, Ling; de Bie, Kees; Campbell, Frederick; Craglia, Max; Ehlers, Manfred; van Genderen, John; Jackson, Davina; Lewis, Anthony J; Pesaresi, Martino; Remetey-Fülöpp, Gábor; Simpson, Richard; Skidmore, Andrew; Wang, Changlin; Woodgate, Peter

    2012-07-10

    A speech of then-Vice President Al Gore in 1998 created a vision for a Digital Earth, and played a role in stimulating the development of a first generation of virtual globes, typified by Google Earth, that achieved many but not all the elements of this vision. The technical achievements of Google Earth, and the functionality of this first generation of virtual globes, are reviewed against the Gore vision. Meanwhile, developments in technology continue, the era of "big data" has arrived, the general public is more and more engaged with technology through citizen science and crowd-sourcing, and advances have been made in our scientific understanding of the Earth system. However, although Google Earth stimulated progress in communicating the results of science, there continue to be substantial barriers in the public's access to science. All these factors prompt a reexamination of the initial vision of Digital Earth, and a discussion of the major elements that should be part of a next generation.

  20. Google It Up! A Google Trends-based Uncertainty Index for the United States and Australia

    OpenAIRE

    Castelnuovo, Efrem; Duc Tran, Trung

    2017-01-01

    We develop uncertainty indices for the United States and Australia based on freely accessible, real time Google Trends data. Our Google Trends Uncertainty (GTU) indices are found to be positively correlated to a variety of alternative proxies for uncertainty available for these two countries. VAR investigations document an economically and statistically significant contribution to unemployment dynamics by GTU shocks in the United States. Differently, the contribution of GTU shocks to unemploy...

  1. Using Google Tag Manager and Google Analytics to track DSpace metadata fields as custom dimensions

    OpenAIRE

    Suzanna Conrad

    2015-01-01

    DSpace can be problematic for those interested in tracking download and pageview statistics granularly. Some libraries have implemented code to track events on websites and some have experimented with using Google Tag Manager to automate event tagging in DSpace. While these approaches make it possible to track download statistics, granular details such as authors, content types, titles, advisors, and other fields for which metadata exist are generally not tracked in DSpace or Google Analytics...

  2. Your privacy using Google tools. Can you preserve it ?

    CERN Document Server

    CERN. Geneva

    2017-01-01

    Google has made some progress in preserving your privacy towards third parties. But do we really understand what Google knows about their users? My short investigation has given me some surprising results.

  3. Management of scientific information with Google Drive.

    Science.gov (United States)

    Kubaszewski, Łukasz; Kaczmarczyk, Jacek; Nowakowski, Andrzej

    2013-09-20

    The amount and diversity of scientific publications requires a modern management system. By "management" we mean the process of gathering interesting information for the purpose of reading and archiving for quick access in future clinical practice and research activity. In the past, such system required physical existence of a library, either institutional or private. Nowadays in an era dominated by electronic information, it is natural to migrate entire systems to a digital form. In the following paper we describe the structure and functions of an individual electronic library system (IELiS) for the management of scientific publications based on the Google Drive service. Architecture of the system. Architecture system consists of a central element and peripheral devices. Central element of the system is virtual Google Drive provided by Google Inc. Physical elements of the system include: tablet with Android operating system and a personal computer, both with internet access. Required software includes a program to view and edit files in PDF format for mobile devices and another to synchronize the files. Functioning of the system. The first step in creating a system is collection of scientific papers in PDF format and their analysis. This step is performed most frequently on a tablet. At this stage, after being read, the papers are cataloged in a system of folders and subfolders, according to individual demands. During this stage, but not exclusively, the PDF files are annotated by the reader. This allows the user to quickly track down interesting information in review or research process. Modification of the document title is performed at this stage, as well. Second element of the system is creation of a mirror database in the Google Drive virtual memory. Modified and cataloged papers are synchronized with Google Drive. At this stage, a fully functional scientific information electronic library becomes available online. The third element of the system is a

  4. The Google Online Marketing Challenge and Research Opportunities

    Science.gov (United States)

    Neale, Larry; Treiblmaier, Horst; Henderson, Vani; Hunter, Lee; Hudson, Karen; Murphy, Jamie

    2009-01-01

    The Google Online Marketing Challenge is an ongoing collaboration between Google and academics, to give students experiential learning. The Challenge gives student teams US$200 in AdWords, Google's flagship advertising product, to develop online marketing campaigns for actual businesses. The end result is an engaging in-class exercise that…

  5. Google Charts Testing | CRDI - Centre de recherches pour le ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Google Charts Testing. The following item is a demo of Google GeoChart. Please note that geo chart can only recognize country name or city name rather than location or address (that is google my map's expertise). Additionally, Geo chart does support title and legend. To render geo chart properly, please get a ...

  6. Decomposition of the Google pagerank and optimal linking strategy

    NARCIS (Netherlands)

    Avrachenkov, Konstatin; Litvak, Nelli

    2004-01-01

    We provide the analysis of the Google PageRank from the perspective of the Markov Chain Theory. First we study the Google PageRank for a Web that can be decomposed into several connected components which do not have any links to each other. We show that in order to determine the Google PageRank for

  7. Use of "Google Scholar" in Corpus-Driven EAP Research

    Science.gov (United States)

    Brezina, Vaclav

    2012-01-01

    This primarily methodological article makes a proposition for linguistic exploration of textual resources available through the "Google Scholar" search engine. These resources ("Google Scholar virtual corpus") are significantly larger than any existing corpus of academic writing. "Google Scholar", however, was not designed for linguistic searches…

  8. Google Scholar Users and User Behaviors: An Exploratory Study

    Science.gov (United States)

    Herrera, Gail

    2011-01-01

    The University of Mississippi Library created a profile to provide linking from Google Scholar (GS) to library resources in 2005. Although Google Scholar does not provide usage statistics for institutions, use of Google Scholar is clearly evident in looking at library link resolver logs. The purpose of this project is to examine users of Google…

  9. Google Science Fair winner visits CERN

    CERN Multimedia

    Katarina Anthony

    2012-01-01

    Google Science Fair Grand Prize winner Brittany Michelle Wenger today wrapped up a day-and-a-half's visit of the CERN site. Her winning project uses an artificial neural network to diagnose breast cancer – a non-invasive technique with significant potential for use in hospitals.   Brittany Michelle Wenger at CERN's SM18 Hall. Besides winning a $50,000 scholarship from Google and work experience opportunities with some of the contest hosts, Brittany was offered a personal tour of CERN. “This visit has just been incredible,” she says. “I got to speak with [CERN's Director for Accelerators and Technology] Steve Myers about some of the medical applications and technologies coming out of the LHC experiments and how they can be used to treat cancer. We talked about proton therapy and hadron therapy, which could really change the way patients are treated, improving success rates and making treatment not such an excruciating process. That ...

  10. Delocalization transition for the Google matrix.

    Science.gov (United States)

    Giraud, Olivier; Georgeot, Bertrand; Shepelyansky, Dima L

    2009-08-01

    We study the localization properties of eigenvectors of the Google matrix, generated both from the world wide web and from the Albert-Barabási model of networks. We establish the emergence of a delocalization phase for the PageRank vector when network parameters are changed. For networks with localized PageRank, eigenvalues of the matrix in the complex plane with a modulus above a certain threshold correspond to localized eigenfunctions while eigenvalues below this threshold are associated with delocalized relaxation modes. We argue that, for networks with delocalized PageRank, the efficiency of information retrieval by Google-type search is strongly affected since the PageRank values have no clear hierarchical structure in this case.

  11. Google analytics for digital library evaluation

    OpenAIRE

    Lee, Hsin Ju

    2011-01-01

    Joint Master Degree in Digital Library Learning (DILL) This master dissertation use the evaluative purposes and e-metrics found in the literature review to examine the appropriateness of applying the web analysis tool, Google Analytics (GA), for the evaluation of digital libraries. The final aim of the study is to provide a useful guideline based on its insightful discussion over the possibilities and limitations of GA for digital libraries. The dissertation is structured into five chap...

  12. Dilemmas of a rota: Google's solution.

    Science.gov (United States)

    Qureshi, Jibran S; Javaid, Fatimah

    2015-01-01

    Doctors take many forms of leave to further career training. Many hospital rotas omit these and are not updated frequently to reflect swaps in on-call duties. As a result, confusion arises with reduced staffing levels leading to sub-optimal patient care. Using Google Sheets, rota's can be modified to be team specific, remotely accessed, and edited by any device with an internet connection and web browser. A qualitative pre and post-implementation questionnaire assessed the usefulness of the online rota. The rota was trialled on a surgical and medical team containing foundation year, core medical, core surgical, and registrar trainees. The respective surgical and medical rotas were copied, modified and pasted into a Google Sheet to contain only team specific information including all forms of leave. A link was emailed allowing teams to access and edit the rota. Post-implementation questionnaire 90% (n=10) stated they could access it remotely and 100% felt the new rota was very easy to use. Finally, 80% stated the Google Doc rota was a definite improvement on the old trust rota. The rota was then trialled on an ITU SHO rota (n=8). The results were reproducible with 88% feeling it addressed their requirements and stating it was an improvement on their old rota. As a result of the implementation appropriate staffing levels were maintained on the ward. The key advantages of the Google rota are that it included all forms of leave and helped ensure adequate staffing levels on the ward. The remote nature means easy access even if off-site and can be viewed easier on smart phones. The different privacy settings ensure security of document. The rota is updated in real-time giving an accurate representation of staffing levels - vital for service managers. The software is free to use, allowing it to work within current hospital IT framework.

  13. Does Googling lead to statin intolerance?

    Science.gov (United States)

    Khan, Sarah; Holbrook, Anne; Shah, Baiju R

    2018-07-01

    The nocebo effect, where patients with expectations of adverse effects are more likely to experience them, may contribute to the high rate of statin intolerance found in observational studies. Information that patients read on the internet may be a precipitant of this effect. The objective of the study was to establish whether the number of websites about statin side effects found using Google is associated with the prevalence of statin intolerance. The prevalence of statin intolerance in 13 countries across 5 continents was established in a recent study via a web-based survey of primary care physicians and specialists. Using the Google search engine for each country, the number of websites about statin side effects was determined, and standardized to the number of websites about statins overall. Searches were restricted to pages in the native language, and were conducted after connecting to each country using a virtual private network (VPN). English-speaking countries (Australia, Canada, UK, USA) had the highest prevalence of statin intolerance and also had the largest standardized number of websites about statin side effects. The sample Pearson correlation coefficient between these two variables was 0.868. Countries where patients using Google are more likely to find websites about statin side effects have greater levels of statin intolerance. The nocebo effect driven by online information may be contributing to statin intolerance. Copyright © 2018 Elsevier B.V. All rights reserved.

  14. Vesicular stomatitis forecasting based on Google Trends.

    Science.gov (United States)

    Wang, JianYing; Zhang, Tong; Lu, Yi; Zhou, GuangYa; Chen, Qin; Niu, Bing

    2018-01-01

    Vesicular stomatitis (VS) is an important viral disease of livestock. The main feature of VS is irregular blisters that occur on the lips, tongue, oral mucosa, hoof crown and nipple. Humans can also be infected with vesicular stomatitis and develop meningitis. This study analyses 2014 American VS outbreaks in order to accurately predict vesicular stomatitis outbreak trends. American VS outbreaks data were collected from OIE. The data for VS keywords were obtained by inputting 24 disease-related keywords into Google Trends. After calculating the Pearson and Spearman correlation coefficients, it was found that there was a relationship between outbreaks and keywords derived from Google Trends. Finally, the predicted model was constructed based on qualitative classification and quantitative regression. For the regression model, the Pearson correlation coefficients between the predicted outbreaks and actual outbreaks are 0.953 and 0.948, respectively. For the qualitative classification model, we constructed five classification predictive models and chose the best classification predictive model as the result. The results showed, SN (sensitivity), SP (specificity) and ACC (prediction accuracy) values of the best classification predictive model are 78.52%,72.5% and 77.14%, respectively. This study applied Google search data to construct a qualitative classification model and a quantitative regression model. The results show that the method is effective and that these two models obtain more accurate forecast.

  15. Vesicular stomatitis forecasting based on Google Trends

    Science.gov (United States)

    Lu, Yi; Zhou, GuangYa; Chen, Qin

    2018-01-01

    Background Vesicular stomatitis (VS) is an important viral disease of livestock. The main feature of VS is irregular blisters that occur on the lips, tongue, oral mucosa, hoof crown and nipple. Humans can also be infected with vesicular stomatitis and develop meningitis. This study analyses 2014 American VS outbreaks in order to accurately predict vesicular stomatitis outbreak trends. Methods American VS outbreaks data were collected from OIE. The data for VS keywords were obtained by inputting 24 disease-related keywords into Google Trends. After calculating the Pearson and Spearman correlation coefficients, it was found that there was a relationship between outbreaks and keywords derived from Google Trends. Finally, the predicted model was constructed based on qualitative classification and quantitative regression. Results For the regression model, the Pearson correlation coefficients between the predicted outbreaks and actual outbreaks are 0.953 and 0.948, respectively. For the qualitative classification model, we constructed five classification predictive models and chose the best classification predictive model as the result. The results showed, SN (sensitivity), SP (specificity) and ACC (prediction accuracy) values of the best classification predictive model are 78.52%,72.5% and 77.14%, respectively. Conclusion This study applied Google search data to construct a qualitative classification model and a quantitative regression model. The results show that the method is effective and that these two models obtain more accurate forecast. PMID:29385198

  16. Vesicular stomatitis forecasting based on Google Trends.

    Directory of Open Access Journals (Sweden)

    JianYing Wang

    Full Text Available Vesicular stomatitis (VS is an important viral disease of livestock. The main feature of VS is irregular blisters that occur on the lips, tongue, oral mucosa, hoof crown and nipple. Humans can also be infected with vesicular stomatitis and develop meningitis. This study analyses 2014 American VS outbreaks in order to accurately predict vesicular stomatitis outbreak trends.American VS outbreaks data were collected from OIE. The data for VS keywords were obtained by inputting 24 disease-related keywords into Google Trends. After calculating the Pearson and Spearman correlation coefficients, it was found that there was a relationship between outbreaks and keywords derived from Google Trends. Finally, the predicted model was constructed based on qualitative classification and quantitative regression.For the regression model, the Pearson correlation coefficients between the predicted outbreaks and actual outbreaks are 0.953 and 0.948, respectively. For the qualitative classification model, we constructed five classification predictive models and chose the best classification predictive model as the result. The results showed, SN (sensitivity, SP (specificity and ACC (prediction accuracy values of the best classification predictive model are 78.52%,72.5% and 77.14%, respectively.This study applied Google search data to construct a qualitative classification model and a quantitative regression model. The results show that the method is effective and that these two models obtain more accurate forecast.

  17. What can Google Trends data tell us about dialect labels

    DEFF Research Database (Denmark)

    Jensen, Marie Møller

    2017-01-01

    The aim of this article is twofold: first of all it sets out to explore the usefulness of Google Trends to the study of language and the perception of variants and, secondly, it investigates the social realities of dialect labels as reflected in searches on the Internet search engine Google...... . Google Trends is an online tool which is freely available and allows you to map the search volume of search terms across time and space and also see which other related searches Google users performed within the specified time period or area. In this way, Google Trends can perhaps help us shed light...... on what it is Google users are curious about or interested in when they search for words such as Geordie, Scouse and Cockney – is it the dialects which the labels denote or is it something else? The study thus takes as its primary interest the application of the Google Trends search tool to the study...

  18. Google it! Using the Google Trends tool to understand the Algarve Tourist destination public interest

    Directory of Open Access Journals (Sweden)

    G. Dinis

    2015-11-01

    Full Text Available In a sector strongly dependent on information as is the case of tourism, the timely knowledge of consumer behaviour enables making well-considered decisions and less uncertainty. Nowadays, the act of searching on the Internet about a particular subject before decision-making is part of the individuals’ daily lives. The Google Trends tool provides real time aggregated data on the online individuals’ interest based on the carried out search queries on Google. The objective of this paper is to show that Google Trends can provide comparative information about the individuals’ interest in relation to Portugal tourism regional areas and in particular, on the tourist destination "Algarve", and also between its competing tourist destinations. The results show that the tool can contribute to the knowledge of the individuals’ interests in relation to regional tourist destinations, information considered of great interest for Destination Management Organizations.

  19. Advanced web metrics with Google Analytics

    CERN Document Server

    Clifton, Brian

    2012-01-01

    Get the latest information about using the #1 web analytics tool from this fully updated guide Google Analytics is the free tool used by millions of web site owners to assess the effectiveness of their efforts. Its revised interface and new features will offer even more ways to increase the value of your web site, and this book will teach you how to use each one to best advantage. Featuring new content based on reader and client requests, the book helps you implement new methods and concepts, track social and mobile visitors, use the new multichannel funnel reporting features, understand which

  20. Google search behavior for status epilepticus.

    Science.gov (United States)

    Brigo, Francesco; Trinka, Eugen

    2015-08-01

    Millions of people surf the Internet every day as a source of health-care information looking for materials about symptoms, diagnosis, treatments and their possible adverse effects, or diagnostic procedures. Google is the most popular search engine and is used by patients and physicians to search for online health-related information. This study aimed to evaluate changes in Google search behavior occurring in English-speaking countries over time for the term "status epilepticus" (SE). Using Google Trends, data on global search queries for the term SE between the 1st of January 2004 and 31st of December 2014 were analyzed. Search volume numbers over time (downloaded as CSV datasets) were analyzed by applying the "health" category filter. The research trends for the term SE remained fairly constant over time. The greatest search volume for the term SE was reported in the United States, followed by India, Australia, the United Kingdom, Canada, the Netherlands, Thailand, and Germany. Most terms associated with the search queries were related to SE definition, symptoms, subtypes, and treatment. The volume of searches for some queries (nonconvulsive, focal, and refractory SE; SE definition; SE guidelines; SE symptoms; SE management; SE treatment) was enormously increased over time (search popularity has exceeded a 5000% growth since 2004). Most people use search engines to look for the term SE to obtain information on its definition, subtypes, and management. The greatest search volume occurred not only in developed countries but also in developing countries where raising awareness about SE still remains a challenging task and where there is reduced public knowledge of epilepsy. Health information seeking (the extent to which people search for health information online) reflects the health-related information needs of Internet users for a specific disease. Google Trends shows that Internet users have a great demand for information concerning some aspects of SE

  1. Google matrix analysis of DNA sequences.

    Science.gov (United States)

    Kandiah, Vivek; Shepelyansky, Dima L

    2013-01-01

    For DNA sequences of various species we construct the Google matrix [Formula: see text] of Markov transitions between nearby words composed of several letters. The statistical distribution of matrix elements of this matrix is shown to be described by a power law with the exponent being close to those of outgoing links in such scale-free networks as the World Wide Web (WWW). At the same time the sum of ingoing matrix elements is characterized by the exponent being significantly larger than those typical for WWW networks. This results in a slow algebraic decay of the PageRank probability determined by the distribution of ingoing elements. The spectrum of [Formula: see text] is characterized by a large gap leading to a rapid relaxation process on the DNA sequence networks. We introduce the PageRank proximity correlator between different species which determines their statistical similarity from the view point of Markov chains. The properties of other eigenstates of the Google matrix are also discussed. Our results establish scale-free features of DNA sequence networks showing their similarities and distinctions with the WWW and linguistic networks.

  2. Google matrix analysis of DNA sequences.

    Directory of Open Access Journals (Sweden)

    Vivek Kandiah

    Full Text Available For DNA sequences of various species we construct the Google matrix [Formula: see text] of Markov transitions between nearby words composed of several letters. The statistical distribution of matrix elements of this matrix is shown to be described by a power law with the exponent being close to those of outgoing links in such scale-free networks as the World Wide Web (WWW. At the same time the sum of ingoing matrix elements is characterized by the exponent being significantly larger than those typical for WWW networks. This results in a slow algebraic decay of the PageRank probability determined by the distribution of ingoing elements. The spectrum of [Formula: see text] is characterized by a large gap leading to a rapid relaxation process on the DNA sequence networks. We introduce the PageRank proximity correlator between different species which determines their statistical similarity from the view point of Markov chains. The properties of other eigenstates of the Google matrix are also discussed. Our results establish scale-free features of DNA sequence networks showing their similarities and distinctions with the WWW and linguistic networks.

  3. REALIDADE VIRTUAL E GEOGRAFIA:O CASO DO GOOGLE CARDBOARD GLASSES PARA O ENSINO

    Directory of Open Access Journals (Sweden)

    Phillipe Valente Cardoso

    2016-01-01

    Full Text Available A realidade virtual torna-se mais presente na vida das pessoas e suas aplicações  tem conquistado  distintos  segmentos,  a exemplo  do ensino  em sala de aula. Essa inovação  tecnológica  tem alto custo de implementação, carecendo de iniciativas de baixo custo para ampliar o acesso a um maior número de  pessoas.  O  objetivo  deste  estudo  é  analisar  a  viabilidade  do  uso  da tecnologia de realidade virtual como ferramenta didática para o ensino de Geografia. Como metodologia foi utilizado o Google Cardboard Glasses, junto a um smarthphone e o aplicativo CardBoard disponível na GooglePlaystore, vídeos 360º no YouTube e o Google StreetView.  Dentre os resultados  encontrados  destacam-se  uma maior imersão do Google  Earth 3D, disponível  no CardBoard,  em um ambiente  tridimensional  simulado  da superfície  terrestre;  uma grande quantidade  de lugares  disponíveis  no Google StreetView possibiltando à realização  de “trabalhos  de campos  virtuais”;  e a possibilidade  de, através dos vídeo 360º, inserir o aluno em fenômenos que não poderiam ser observados por fotos ou ambientes simulados até então estáticos do Google Earth 3D. Foi possível  perceber  um enorme  potencial  da realidade  virtual no ensino  de Geografia,  com alternativas  de baixo custo permitindo  ao professor e aos alunos, processos  de ensino mais dinâmicos e atrativos.

  4. Wearable Android Android wear and Google Fit app development

    CERN Document Server

    Mishra, Sanjay M

    2015-01-01

    Software Development/Mobile/Android/Wearable/Fitness Build ""Wearable"" Applications on the Android Wear and Google Fit Platforms This book covers wearable computing and wearable application development particularly for Android Wear (smartwatches) and Google Fit (fitness sensors). It provides relevant history, background and core concepts of wearable computing and ubiquitous computing, as a foundation for designing/developing applications for the Android Wear and Google Fit platforms. This book is intended for Android wearable enthusiasts, technologists and software developers. Gain ins

  5. Google and the proper antitrust scrutiny of orphan books

    OpenAIRE

    Hausman, Jerry A.; Sidak, J. Gregory

    2009-01-01

    We examine the consumer-welfare implications of Google's project to scan a large proportion of the world's books into digital form and to make these works accessible to consumers through Google Book Search (GBS). In response to a class action alleging copyright infringement, Google has agreed to a settlement with the plaintiffs, which include the Authors Guild and the Association of American Publishers. A federal district court must approve the settlement for it to take effect. Various indivi...

  6. Implementing Parallel Google Map-Reduce in Eden

    DEFF Research Database (Denmark)

    Berthold, Jost; Dieterle, Mischa; Loogen, Rita

    2009-01-01

    Recent publications have emphasised map-reduce as a general programming model (labelled Google map-reduce), and described existing high-performance implementations for large data sets. We present two parallel implementations for this Google map-reduce skeleton, one following earlier work, and one...... of the Google map-reduce skeleton in usage and performance, and deliver runtime analyses for example applications. Although very flexible, the Google map-reduce skeleton is often too general, and typical examples reveal a better runtime behaviour using alternative skeletons....

  7. Google matrix analysis of directed networks

    Science.gov (United States)

    Ermann, Leonardo; Frahm, Klaus M.; Shepelyansky, Dima L.

    2015-10-01

    In the past decade modern societies have developed enormous communication and social networks. Their classification and information retrieval processing has become a formidable task for the society. Because of the rapid growth of the World Wide Web, and social and communication networks, new mathematical methods have been invented to characterize the properties of these networks in a more detailed and precise way. Various search engines extensively use such methods. It is highly important to develop new tools to classify and rank a massive amount of network information in a way that is adapted to internal network structures and characteristics. This review describes the Google matrix analysis of directed complex networks demonstrating its efficiency using various examples including the World Wide Web, Wikipedia, software architectures, world trade, social and citation networks, brain neural networks, DNA sequences, and Ulam networks. The analytical and numerical matrix methods used in this analysis originate from the fields of Markov chains, quantum chaos, and random matrix theory.

  8. Google: a narrativa de uma marca mutante

    Directory of Open Access Journals (Sweden)

    Elizete de Azevedo Kreutz

    2010-01-01

    Full Text Available As marcas mutantes já fazem parte de nossa realidade, embora ainda não totalmente percebidas e/ou aceitas como tal. O presente artigo busca refletir sobre a relevância dessas novas estratégias de comunicação e branding, identificando suas principais características. Para isso, utilizamos o método de estudo de caso, o Google, ancorado nos métodos de pesquisa bibliográfica e de internet. A escolha foi intencional, posto que a organização é referência em sua categoria, mecanismo de busca, e reflete essa estratégia comunicacional contemporânea. Como resultado, as informações obtidas nos possibilitam compreender essa tendência de comportamento de marca que busca a interação com seus públicos.

  9. APPLIED SCIENTOMETRICS: ELIBRARY.RU VS GOOGLE

    Directory of Open Access Journals (Sweden)

    А В Юрков

    2015-12-01

    Full Text Available The practical issues associated with searching reliable information about the publication activity of Russian scientist are discussed in the article. The examples in [1] show that the effective solution of this problem requires the using of different scientometric services: both the domestic eLIBRARY.RU and its Russian Science Citation Index, and the Google Scholar as an alternative. At the time the work is published comparison was not in favor of the domestic resource. However, due to the RSCI project within a short period the eLibrary’s tools for building database of scientific publications have grown significantly and the opportunities to improve the quality of scientometric information become real. The article gives the examples.

  10. Quantum Google in a Complex Network

    Science.gov (United States)

    Paparo, Giuseppe Davide; Müller, Markus; Comellas, Francesc; Martin-Delgado, Miguel Angel

    2013-01-01

    We investigate the behaviour of the recently proposed Quantum PageRank algorithm, in large complex networks. We find that the algorithm is able to univocally reveal the underlying topology of the network and to identify and order the most relevant nodes. Furthermore, it is capable to clearly highlight the structure of secondary hubs and to resolve the degeneracy in importance of the low lying part of the list of rankings. The quantum algorithm displays an increased stability with respect to a variation of the damping parameter, present in the Google algorithm, and a more clearly pronounced power-law behaviour in the distribution of importance, as compared to the classical algorithm. We test the performance and confirm the listed features by applying it to real world examples from the WWW. Finally, we raise and partially address whether the increased sensitivity of the quantum algorithm persists under coordinated attacks in scale-free and random networks. PMID:24091980

  11. Quantum Google in a Complex Network

    Science.gov (United States)

    Paparo, Giuseppe Davide; Müller, Markus; Comellas, Francesc; Martin-Delgado, Miguel Angel

    2013-10-01

    We investigate the behaviour of the recently proposed Quantum PageRank algorithm, in large complex networks. We find that the algorithm is able to univocally reveal the underlying topology of the network and to identify and order the most relevant nodes. Furthermore, it is capable to clearly highlight the structure of secondary hubs and to resolve the degeneracy in importance of the low lying part of the list of rankings. The quantum algorithm displays an increased stability with respect to a variation of the damping parameter, present in the Google algorithm, and a more clearly pronounced power-law behaviour in the distribution of importance, as compared to the classical algorithm. We test the performance and confirm the listed features by applying it to real world examples from the WWW. Finally, we raise and partially address whether the increased sensitivity of the quantum algorithm persists under coordinated attacks in scale-free and random networks.

  12. Moonshot Laboratories' Lava Relief Google Mapping Project

    Science.gov (United States)

    Brennan, B.; Tomita, M.

    2016-12-01

    The Moonshot Laboratories were conceived at the University Laboratory School (ULS) on Oahu, Hawaii as way to develop creative problem solvers able to resourcefully apply 21st century technologies to respond to the problems and needs of their communities. One example of this was involved students from ULS using modern mapping and imaging technologies to assist peers who had been displaced from their own school in Pahoe on the Big Island of Hawaii. During 2015, lava flows from the eruption of Kilauea Volcano were slowly encroaching into the district of Puna in 2015. The lava flow was cutting the main town of Pahoa in half, leaving no safe routes of passage into or out of the town. One elementary school in the path of the flow was closed entirely and a new one was erected north of the flow for students living on that side. Pahoa High School students and teachers living to the north were been forced to leave their school and transfer to Kea'au High School. These students were separated from friends, family and the community they grew up in and were being thrust into a foreign environment that until then had been their local rival. Using Google Mapping technologies, Moonshot Laboratories students created a dynamic map to introduce the incoming Pahoa students to their new school in Kea'au. Elements included a stylized My Maps basemap, YouTube video descriptions of the building, videos recorded by Google Glass showing first person experiences, and immersive images of classrooms were created using 360 cameras. During the first day of orientation at Kea'au for the 200 Pahoa students, each of them were given a tablet to view the map as they toured and got to know their new campus. The methods and technologies, and more importantly innovative thinking, used to create this map have enormous potential for how to educate all students about the world around us, and the issues facing it. http://www.moonshotincubator.com/

  13. Using Google AdWords in the MBA MIS Course

    Science.gov (United States)

    Rosso, Mark A.; McClelland, Marilyn K.; Jansen, Bernard J.; Fleming, Sundar W.

    2009-01-01

    From February to June 2008, Google ran its first ever student competition in sponsored Web search, the 2008 Google Online Marketing Challenge (GOMC). The 2008 GOMC was based on registrations from 61 countries: 629 course sections from 468 universities participated, fielding over 4000 student teams of approximately 21,000 students. Working with a…

  14. Supporting Inquiry-based Learning with Google Glass (GPIM)

    NARCIS (Netherlands)

    Suarez, Angel; Ternier, Stefaan; Kalz, Marco; Specht, Marcus

    2015-01-01

    Wearable technology is a new genre of technology that is appearing to enhance learning in context. This manuscript introduces a Google Glass application to support Inquiry-based Learning (IBL). Applying Google Glass to IBL, we aim to transform the learning process into a more seamless, personal and

  15. Google AdWords versus Facebook: Wie wint?

    NARCIS (Netherlands)

    Lorenz, M.; Ketelaar, P.E.; Paquay, M.; Veninga, A.

    2017-01-01

    Hoe reageren consumenten bij het zien van een Facebook-advertentie? Klikken ze op de advertentie, of scrollen ze liever snel verder? En hoe zit dat dan met die van Google AdWords? Met andere woorden: met welk kanaal bereiken adverteerders het beste hun klanten: Google of Facebook?

  16. Google Scholar as the co-producer of scholarly knowledge

    NARCIS (Netherlands)

    van Dijck, J.; Takseva, T.

    2013-01-01

    Search engines in general, and Google Scholar in particular, are co-producers of academic knowledge. They have a profound impact on the way knowledge is generated, transmitted, and distributed. This chapter first explores how Google Scholar works as a human-technological system in order to analyze

  17. Seeing Google through the Eyes of Turkish Academicians

    Science.gov (United States)

    Alakurt, Turgay; Bardakci, Salih

    2017-01-01

    With its new variety of IT products and services created in the last decade for students, teachers and schools, Google has changed the face of education. Google technologies that can be used completely free of charge via a single account in any device offer innovative alternatives to meet the needs of education. These technologies also help…

  18. The effect of new links on Google PageRank

    NARCIS (Netherlands)

    Avrachenkov, Konstatin; Litvak, Nelli

    2004-01-01

    PageRank is one of the principle criteria according to which Google ranks Web pages. PageRank can be interpreted as a frequency of visiting a Web page by a random surfer and thus it reflects the popularity of a Web page. We study the effect of newly created links on Google PageRank. We discuss to

  19. The effect of new links on Google Pagerank

    NARCIS (Netherlands)

    Avrachenkov, K.; Litvak, Nelli

    2006-01-01

    PageRank is one of the principle criteria according to which Google ranks Web pages. PageRank can be interpreted as the frequency that a random surfer visits a Web page, and thus it reflects the popularity of a Web page. We study the effect of newly created links on Google PageRank. We discuss to

  20. Applying Google Translate in a higher education environment ...

    African Journals Online (AJOL)

    Often just any bilingual person is approached to translate or a free web-based translation application such as Google Translate is employed. This article describes a study in which the quality of translation products created by Google Translate, a translation student and a professional translator were assessed and compared ...

  1. Going Google: Powerful Tools for 21st Century Learning

    Science.gov (United States)

    Covili, Jared

    2012-01-01

    Google is more than a search engine--it offers many tools that give people the opportunity to work virtually from anywhere, with anyone, at any time they choose. And these tools are available to teachers and students for free. This book for K-12 educators explores the wide array of Google tools and shows how to use them in the classroom to foster…

  2. De top-10.000.000.000 van Google

    NARCIS (Netherlands)

    Brandts, J.

    2008-01-01

    Google bewaart op zijn computers adressen en trefwoorden van tien miljard webpagina’s en iedere dag voegen z’n zoekrobots er weer miljoenen pagina’s aan toe. Hoe is het mogelijk, dat Google in deze berg informatie meestal precies de webpagina’s vindt die jij zoekt? Wiskundig gezien is het internet

  3. Google Voice: Connecting Your Telephone to the 21st Century

    Science.gov (United States)

    Johnson, Benjamin E.

    2010-01-01

    The foundation of the mighty Google Empire rests upon an algorithm that connects people to information--things such as websites, maps, and restaurant reviews. Lately it seems that people are less interested in connecting with information than they are with connecting to one another, which begs the question, "Is Facebook the new Google?" Given this…

  4. 3D Viewer Platform of Cloud Clustering Management System: Google Map 3D

    Science.gov (United States)

    Choi, Sung-Ja; Lee, Gang-Soo

    The new management system of framework for cloud envrionemnt is needed by the platfrom of convergence according to computing environments of changes. A ISV and small business model is hard to adapt management system of platform which is offered from super business. This article suggest the clustering management system of cloud computing envirionments for ISV and a man of enterprise in small business model. It applies the 3D viewer adapt from map3D & earth of google. It is called 3DV_CCMS as expand the CCMS[1].

  5. THE IMPLEMENTATION OF GOOGLE SERVICES FOR TEACHING GENERATION Z STUDENTS

    Directory of Open Access Journals (Sweden)

    Ivanna I. Podik

    2017-09-01

    Full Text Available The article describes the features of modern students from the point of view of the Generations' Theory. It is established that the dependence of students Z on digital devices and the global Internet network affects the organization of the educational process and necessitates the introduction of electronic educational resources. The possibilities of using the G Suite for Education (Gmail, Google Drive, Google Forms, Google Documents, Google Spreadsheets, etc. in the learning process are analyzed, and the experience of their implementation in the study of the Bookkeeping has been described. It is argued that the use of information products by Google participants in the learning process provides an opportunity to raise the level of cognitive activity of future accountants, as well as a powerful motivational tool for person-oriented learning and self-improvement of students.

  6. Google vs. the Library: Student Preferences and Perceptions when Doing Research Using Google and a Federated Search Tool

    Science.gov (United States)

    Georgas, Helen

    2013-01-01

    Federated searching was once touted as the library world's answer to Google, but ten years since federated searching technology's inception, how does it actually compare? This study focuses on undergraduate student preferences and perceptions when doing research using both Google and a federated search tool. Students were asked about their…

  7. OPTIMASI WEBSITE BERBASIS CMS PADA GOOGLE PEGESPEED

    Directory of Open Access Journals (Sweden)

    Rizki Muliono

    2016-08-01

    Full Text Available Abstrak—Saat ini banyak web berkembang di dunia maya dengan berbagai nama domain dan platform script yang membangunnya, baik itu dibangun  secara manual koding dan menggunakan CMS (content management system dengan berbagai bahasa pemrograman web seperti php, asp, phyton, jsp, java script dan bahasa pemrograman web lainnya. Melihat kebutuhan dan waktu yang di perlukaan saat sekarang ini pengguna web lebih dijadikan patokan sebagai dasar survei dalam menilai baik dan buruknya website ketika diakses desain dan tampilan yang disajikan serta yang lebih utama adalah kecepatan dan  responsibility website tersebut ketika diakses oleh user, sehingga  pengembang web sendiri harus di dalam memilih platform pembentuk situs nya baik desain scripting dan management data. Salah satunya adalah wordpress sebagai frame CMS yang memudahkan bagi pengguna untuk membangun website atau situs dengan cepat dan mudah, namun semakin berkembangnya data dan semakin update wordpress yang di gunakan maka ada beberapa hal yang perlu di perhatikan salah satunya kecepatan akses dan render html pada situs yang menggunakan platform CMS Wordpress maka di butuhkan optimasi dalam memecahkan permasalahan umum yang sering terjadi pada CMS Wordpress tersebut. Pada jurnal ini wordpress di optimasi dengan menggunakan plugin yang membantu kecepatan akses dan render pada website berbasis CMS Wordpress diatanranya Leverage Browser Caching, JS & CSS Script Optimizer, Above The Fold, Plugin Chace hasil yang didapatkan adalah ujicoba testpage pada google page-speed mendapatkan peningkatan point yang jauh lebih baik dan kecepatan akses bertambah. Keywords— Wordpress Optimasi, Page-Speed, Website

  8. Google Maps for Crowdsourced Emergency Routing

    Science.gov (United States)

    Nedkov, S.; Zlatanova, S.

    2012-08-01

    Gathering infrastructure data in emergency situations is challenging. The affected by a disaster areas are often large and the needed observations numerous. Spaceborne remote sensing techniques cover large areas but they are of limited use as their field of view may be blocked by clouds, smoke, buildings, highways, etc. Remote sensing products furthermore require specialists to collect and analyze the data. This contrasts the nature of the damage detection problem: almost everyone is capable of observing whether a street is usable or not. The crowd is fit for solving these challenges as its members are numerous, they are willing to help and are often in the vicinity of the disaster thereby forming a highly dispersed sensor network. This paper proposes and implements a small WebGIS application for performing shortest path calculations based on crowdsourced information about the infrastructure health. The application is built on top of Google Maps and uses its routing service to calculate the shortest distance between two locations. Impassable areas are indicated on a map by people performing in-situ observations on a mobile device, and by users on a desktop machine who consult a multitude of information sources.

  9. Integrating Radar Image Data with Google Maps

    Science.gov (United States)

    Chapman, Bruce D.; Gibas, Sarah

    2010-01-01

    A public Web site has been developed as a method for displaying the multitude of radar imagery collected by NASA s Airborne Synthetic Aperture Radar (AIRSAR) instrument during its 16-year mission. Utilizing NASA s internal AIRSAR site, the new Web site features more sophisticated visualization tools that enable the general public to have access to these images. The site was originally maintained at NASA on six computers: one that held the Oracle database, two that took care of the software for the interactive map, and three that were for the Web site itself. Several tasks were involved in moving this complicated setup to just one computer. First, the AIRSAR database was migrated from Oracle to MySQL. Then the back-end of the AIRSAR Web site was updated in order to access the MySQL database. To do this, a few of the scripts needed to be modified; specifically three Perl scripts that query that database. The database connections were then updated from Oracle to MySQL, numerous syntax errors were corrected, and a query was implemented that replaced one of the stored Oracle procedures. Lastly, the interactive map was designed, implemented, and tested so that users could easily browse and access the radar imagery through the Google Maps interface.

  10. Crowdfunding Astronomy Research with Google Sky

    Science.gov (United States)

    Metcalfe, Travis S.

    2015-01-01

    For nearly four years, NASA's Kepler space telescope searched for planets like Earth around more than 150,000 stars similar to the Sun. In 2008 with in-kind support from several technology companies, our non-profit organization established the Pale Blue Dot Project, an adopt-a-star program that supports scientific research on the stars observed by…

  11. Lessons Learned From Google Glass: Telemedical Spark or Unfulfilled Promise?

    Science.gov (United States)

    Yu, Jonathan; Ferniany, William; Guthrie, Barton; Parekh, Selene G; Ponce, Brent

    2016-04-01

    Wearable devices such as Google Glass could potentially be used in the health care setting to expand access and improve quality of care. This study aims to assess the demographics of Google Glass users in health care and determine the obstacles to using Google Glass by surveying those who are known to use the device. A 48-question survey was designed to assess demographics of users, technological limitations of Google Glass, and obstacles to implementation of the device. The physicians surveyed worked in various fields of health care, with 50% of the respondents being surgeons. Potential participants were found using an Internet search for physicians using Google Glass in their practice. Outcome measures were divided into demographic information of users, technological limitations of the device, and administrative obstacles. A 43.6% response rate was observed. The majority of users were male, assistant professors, in academic hospitals, and in the United States. Numerous technological limitations were observed by the majority, including device ergonomics, display location, video quality, and audio quality. Patient confidentiality and data security were the major concerns among administrative obstacles. Despite the potential of Google Glass, numerous obstacles exist that limit its use in health care. While Google Glass has been discontinued, the results of this study may be used to guide future designs of wearable devices. © The Author(s) 2015.

  12. Gigantide kokkupõrge: Google lahkub Hiina tsensuuri alt / Heiki Suurkask

    Index Scriptorium Estoniae

    Suurkask, Heiki, 1972-

    2010-01-01

    Google teatas, et Pekingi tsensuurile alistatud veebilehe Google.cn kasutajad juhitakse automaatselt Hongkongi tsenseerimata saidile Google.com.hk. Hiina reageeringust. Teabest, mida hiinlased internetist leida ei tohi

  13. Google Plus First Look a tip-packed, comprehensive look at Google+

    CERN Document Server

    Roberts, Ralph

    2011-01-01

    Through over 100 books, mostly computer-related, the author has mastered a fun but information packed style that gives you exactly what you want - up to speed on Plus with minimal effort and maximum results. Google+ or Plus (the terms are interchangeable) was written for everyone. This book mirrors that concept and is written for everyone - from us techheads (early adopters) to delightful old Aunt Mable and the rest of the Thursday Night Bridge Club. Because social networking exists for all people and we are all people - all of us are plusses on Plus.

  14. Google Apps - cloud computing v praxi

    OpenAIRE

    Strečko, Marek

    2011-01-01

    This thesis aims to introduce a reader to cloud computing and Google Apps in order to install and use a solution based on Google Apps. First I would like to present basic facts about cloud computing and its division. The following part is dedicated to Google Apps with the history outline of the development of this system and the list of offered versions. Then I would like to describe in details all the most important services, which this system offers, focusing on a practical aspect of the Go...

  15. Google matrix and Ulam networks of intermittency maps.

    Science.gov (United States)

    Ermann, L; Shepelyansky, D L

    2010-03-01

    We study the properties of the Google matrix of an Ulam network generated by intermittency maps. This network is created by the Ulam method which gives a matrix approximant for the Perron-Frobenius operator of dynamical map. The spectral properties of eigenvalues and eigenvectors of this matrix are analyzed. We show that the PageRank of the system is characterized by a power law decay with the exponent beta dependent on map parameters and the Google damping factor alpha . Under certain conditions the PageRank is completely delocalized so that the Google search in such a situation becomes inefficient.

  16. Googles Augmented-Reality-Game "Ingress"

    Directory of Open Access Journals (Sweden)

    Karl H. Stingeder

    2013-12-01

    Full Text Available Das an das "Geocoaching"-Spielprinzip erinnernde Augmented-­Reality-Game "Ingress" ist auf allen mit Android-Betriebssystem ausgestatteten Smartphones spielbar. Das Alleinstellungsmerkmal des Spiels ist gleich­zeitig auch das beste Patent-Rezept für bzw. gegen notorisches "Couch-Potato-ing": Das Game-Design des "Draußenspiels" erfordert jedoch stets die physische Anwesenheit der SpielerInnen am realen Ort des Geschehens, meist touristisch attraktive Sehenswürdigkeiten und architektonisch markante Plätze. Sobald "Ingress" per App am Smart­phone gestartet wird, stehen Interaktionen und Machtverhältnisse auf dem Handy-Display im Dreh- und Angelpunkt des Geschehens. Die Spielgrafik ist auf das Wesentliche reduziert und erinnert an die Optik von Videospielen der 80er Jahre. "Ingress" im Allgemeinen sowie "Magnus13", die erste von Google organisierte Fan-Veranstaltung Österreichs mit mehreren Hundert TeilnehmerInnen und ist mit einer "digitalen Schnitzeljagd" vergleichbar: Gemeinsam ist der klassischen "Schnitzeljagd" und dem digitalen "Schere-Schein-Papier" Prinzip von "Ingress" die tragende Rolle des im Spiel entstehenden Gemeinschaftsgefühls, welche in einer hohen Langzeitmotivation mündet. Trotz aller Euphorie, ob des unkonventionellen Augmented-Reality-Spielkonzepts und des in Folge der sozialen Dynamik außergewöhnlichen Sucht­potentials, ist angesichts von Edward Snowden und vielfältiger NSA-Abhörmaßnahmen, eine gesunde Portion Skepsis angebracht: Welchen Zweck erfüllt "Ingress"? Gibt es ein verhülltes "Mittel zum Zweck"? Welche Gefahren bestehen mit einer systematischen Auswertung des umfangreichen, ortsrelevanten Daten-Sammelsuriums? "Ingress" verdeutlicht trotz aller Risiken den soziokulturellen Bedeutungswandel des digitalen Spiels: Spiele per se und das Spiel als soziale Interaktion sind aktuell dabei, alle Bereiche unseres Lebens zu erfassen.

  17. Multitalent Google astub Facebookile-Elionile kandadele / Ann-Marii Nergi

    Index Scriptorium Estoniae

    Nergi, Ann-Marii

    2011-01-01

    Google avalikustas oma katse vallutada ka sotsiaalvõrgustike keskkond, mida praegu valitsevad Facebook ja Twitter. Ekspertide hinnangul oskab Google kasumit teenida ja tema kasutajate hulka prognoositakse kasvavat

  18. What, where and when? Using Google Trends and Google to investigate patient needs and inform pharmacy practice.

    Science.gov (United States)

    Hanna, Alan; Hanna, Lezley-Anne

    2018-03-30

    The aim was to provide a comprehensive overview (using pertinent examples) of the various ways that Google Trends and Google data could inform pharmacy practice. The objectives were to: examine what type of information people search for in relation to a common class of medicines; ascertain where people are directed to (websites) following an initial search for a medicine or medical condition; and establish information about when they search. The methodology differed depending on whether Google Trends or Google was being interrogated, but the search domain was always limited to the United Kingdom. Google Trends was queried, typically for a 5-year time frame, and data downloaded for many search inputs relating to medical conditions (self-treatable and non-self-treatable) and medicines (bought over-the-counter and prescribed). Google was queried and data collected for searches related to 'antibiotics'. Google Trends revealed a previously unknown seasonality pattern for irritable bowel syndrome. Related searches for 'antibiotics' revealed a high level of interest in the appropriateness of concomitant alcohol consumption and queries about what antibiotics are. Largely, people were being directed to reputable websites following their initial search input about a prescription-only medicine. However, searches for over-the-counter medicines were more likely to lead to commercial domains. This is one of the first studies to investigate use of Google Trends and Google in a pharmacy-specific context. It is relevant for practice as it could inform marketing strategies, public health policy and help tailor patient advice and counselling. © 2018 Royal Pharmaceutical Society.

  19. Google glass-based remote control of a mobile robot

    Science.gov (United States)

    Yu, Song; Wen, Xi; Li, Wei; Chen, Genshe

    2016-05-01

    In this paper, we present an approach to remote control of a mobile robot via a Google Glass with the multi-function and compact size. This wearable device provides a new human-machine interface (HMI) to control a robot without need for a regular computer monitor because the Google Glass micro projector is able to display live videos around robot environments. In doing it, we first develop a protocol to establish WI-FI connection between Google Glass and a robot and then implement five types of robot behaviors: Moving Forward, Turning Left, Turning Right, Taking Pause, and Moving Backward, which are controlled by sliding and clicking the touchpad located on the right side of the temple. In order to demonstrate the effectiveness of the proposed Google Glass-based remote control system, we navigate a virtual Surveyor robot to pass a maze. Experimental results demonstrate that the proposed control system achieves the desired performance.

  20. SOME ASPECTS OF USING GOOGLE APPS INTO HIGHER EDUCATIONAL INSTITUTION

    OpenAIRE

    V. Oleksyuk

    2013-01-01

    The article investigated the concept of information and educational space» and determined the aspects of integration of its services. The unified authentication is an important component of information and educational space. It can be based on LDAP-directory. This study presented the main advantages of using Google Apps in process of learning. We described the experience of the integration Google Apps into information and educational space of Department of Physics and Mathematics of Ternopil ...

  1. Google annab kõigi pihta turmtuld / Erik Aru

    Index Scriptorium Estoniae

    Aru, Erik

    2010-01-01

    Google'ile kuuluva operatsioonisüsteemiga Android varustatud telefonide müük edestas II kvartalis Microsofti Windows Mobile'i rakendavate müüki üle kolme korra, II kvartalis jõudis Android müüginäitajate poolest ette ka Apple'ist. Google kavatseb käivitada YouTube'i baasil tasuliste videote teenuse

  2. Transforming Polar Research with Google Glass Augmented Reality (Invited)

    Science.gov (United States)

    Ruthkoski, T.

    2013-12-01

    Augmented reality is a new technology with the potential to accelerate the advancement of science, particularly in geophysical research. Augmented reality is defined as a live, direct or indirect, view of a physical, real-world environment whose elements are augmented (or supplemented) by computer-generated sensory input such as sound, video, graphics or GPS data. When paired with advanced computing techniques on cloud resources, augmented reality has the potential to improve data collection techniques, visualizations, as well as in-situ analysis for many areas of research. Google is currently a pioneer of augmented reality technology and has released beta versions of their wearable computing device, Google Glass, to a select number of developers and beta testers. This community of 'Glass Explorers' is the vehicle from which Google shapes the future of their augmented reality device. Example applications of Google Glass in geophysical research range from use as a data gathering interface in harsh climates to an on-site visualization and analysis tool. Early participation in the shaping of the Google Glass device is an opportunity for researchers to tailor this new technology to their specific needs. The purpose of this presentation is to provide geophysical researchers with a hands-on first look at Google Glass and its potential as a scientific tool. Attendees will be given an overview of the technical specifications as well as a live demonstration of the device. Potential applications to geophysical research in polar regions will be the primary focus. The presentation will conclude with an open call to participate, during which attendees may indicate interest in developing projects that integrate Google Glass into their research. Application Mockup: Penguin Counter Google Glass Augmented Reality Device

  3. Wearable technology smart watches to Google Glass for libraries

    CERN Document Server

    Bruno, Tom

    2015-01-01

    Emerging devices are placing powerful computing abilities into the wardrobes of consumers through wearable technology which combines fashion and function in new and exciting ways. The most recognizable of these emerging gadgets is Google Glass. Wearable Technology: Smart Watches to Google Glass for Libraries provides a comprehensive overview of the current wearable technology landscape, the types of devices and functionality available, the benefits and limitations of this type of technology, and how you can make use of it in yo

  4. Discovering Digital Library User Behavior with Google Analytics

    OpenAIRE

    Kirk Hess

    2012-01-01

    Google Analytics has advanced features for tracking search queries, events such as clicking external links or downloading files, which you can use to track user behavior that is normally difficult to track with traditional web logging software. By tracking behavior, you can use Google Analytics API to extract data and integrate it with data from your digital repository to show granular data about individual items. Using this information, digital libraries can learn how users use the site with...

  5. Creating metadata that work for digital libraries and Google

    OpenAIRE

    Dawson, Alan

    2004-01-01

    For many years metadata has been recognised as a significant component of the digital information environment. Substantial work has gone into creating complex metadata schemes for describing digital content. Yet increasingly Web search engines, and Google in particular, are the primary means of discovering and selecting digital resources, although they make little use of metadata. This article considers how digital libraries can gain more value from their metadata by adapting it for Google us...

  6. Can Google Trends search queries contribute to risk diversification?

    Czech Academy of Sciences Publication Activity Database

    Krištoufek, Ladislav

    2013-01-01

    Roč. 3, č. 2713 (2013), s. 1-5 ISSN 2045-2322 R&D Projects: GA ČR GA402/09/0965 Institutional support: RVO:67985556 Keywords : Google Trends * diversification * portfolio Subject RIV: AH - Economics Impact factor: 5.078, year: 2013 http://library.utia.cas.cz/separaty/2013/E/kristoufek-can google trends search queries contribute to risk diversification.pdf

  7. Seeing Google through the Eyes of Turkish Academicians

    Directory of Open Access Journals (Sweden)

    Turgay ALAKURT

    2017-07-01

    Full Text Available With its new variety of IT products and services created in the last decade for students, teachers and schools, Google has changed the face of education. Google technologies that can be used completely free of charge via a single account in any device offer innovative alternatives to meet the needs of education. These technologies also help continuously improve digital competencies of students and teachers. On the other hand, criticisms against the monopolization of the company as well as its privacy and transparency policies have been increasing. In the light of these developments, the current study aims to examine academicians’ metaphorical perceptions related to Google. The study was designed based on metaphorical analysis as a method of qualitative research. The study group was comprised of academicians working at education faculties of four state universities located in the middle west of Turkey. The data were collected through a closed web-based questionnaire consisting of open-ended questions. Results revealed that large majority of the academicians have a positive perception of Google. A group of participants also views it as a threat. Results offer important insights about the academicians' perceptions of Google and how and why they make use of Google products.

  8. 3D multiplayer virtual pets game using Google Card Board

    Science.gov (United States)

    Herumurti, Darlis; Riskahadi, Dimas; Kuswardayan, Imam

    2017-08-01

    Virtual Reality (VR) is a technology which allows user to interact with the virtual environment. This virtual environment is generated and simulated by computer. This technology can make user feel the sensation when they are in the virtual environment. The VR technology provides real virtual environment view for user and it is not viewed from screen. But it needs another additional device to show the view of virtual environment. This device is known as Head Mounted Device (HMD). Oculust Rift and Microsoft Hololens are the most famous HMD devices used in VR. And in 2014, Google Card Board was introduced at Google I/O developers conference. Google Card Board is VR platform which allows user to enjoy the VR with simple and cheap way. In this research, we explore Google Card Board to develop simulation game of raising pet. The Google Card Board is used to create view for the VR environment. The view and control in VR environment is built using Unity game engine. And the simulation process is designed using Finite State Machine (FSM). This FSM can help to design the process clearly. So the simulation process can describe the simulation of raising pet well. Raising pet is fun activity. But sometimes, there are many conditions which cause raising pet become difficult to do, i.e. environment condition, disease, high cost, etc. this research aims to explore and implement Google Card Board in simulation of raising pet.

  9. Using Google Trends for influenza surveillance in South China.

    Directory of Open Access Journals (Sweden)

    Min Kang

    Full Text Available BACKGROUND: Google Flu Trends was developed to estimate influenza activity in many countries; however there is currently no Google Flu Trends or other Internet search data used for influenza surveillance in China. METHODS AND FINDINGS: Influenza surveillance data from 2008 through 2011 were obtained from provincial CDC influenza-like illness and virological surveillance systems of Guangdong, a province in south China. Internet search data were downloaded from the website of Google Trends. Pearson's correlation coefficients with 95% confidence intervals (95% CI were calculated to compare surveillance data and internet search trends. The correlation between CDC ILI surveillance and CDC virus surveillance was 0.56 (95% CI: 0.43, 0.66. The strongest correlation was between the Google Trends term of Fever and ILI surveillance with a correlation coefficient of 0.73 (95% CI: 0.66, 0.79. When compared with influenza virological surveillance, the Google Trends term of Influenza A had the strongest correlation with a correlation coefficient of 0.64 (95% CI: 0.43, 0.79 in the 2009 H1N1 influenza pandemic period. CONCLUSIONS: This study shows that Google Trends in Chinese can be used as a complementary source of data for influenza surveillance in south China. More research in the future should develop new models using search trends in Chinese language to estimate local disease activity and detect early signals of outbreaks.

  10. Using Google Trends for influenza surveillance in South China.

    Science.gov (United States)

    Kang, Min; Zhong, Haojie; He, Jianfeng; Rutherford, Shannon; Yang, Fen

    2013-01-01

    Google Flu Trends was developed to estimate influenza activity in many countries; however there is currently no Google Flu Trends or other Internet search data used for influenza surveillance in China. Influenza surveillance data from 2008 through 2011 were obtained from provincial CDC influenza-like illness and virological surveillance systems of Guangdong, a province in south China. Internet search data were downloaded from the website of Google Trends. Pearson's correlation coefficients with 95% confidence intervals (95% CI) were calculated to compare surveillance data and internet search trends. The correlation between CDC ILI surveillance and CDC virus surveillance was 0.56 (95% CI: 0.43, 0.66). The strongest correlation was between the Google Trends term of Fever and ILI surveillance with a correlation coefficient of 0.73 (95% CI: 0.66, 0.79). When compared with influenza virological surveillance, the Google Trends term of Influenza A had the strongest correlation with a correlation coefficient of 0.64 (95% CI: 0.43, 0.79) in the 2009 H1N1 influenza pandemic period. This study shows that Google Trends in Chinese can be used as a complementary source of data for influenza surveillance in south China. More research in the future should develop new models using search trends in Chinese language to estimate local disease activity and detect early signals of outbreaks.

  11. A Google-based approach for monitoring suicide risk.

    Science.gov (United States)

    Solano, Paola; Ustulin, Morena; Pizzorno, Enrico; Vichi, Monica; Pompili, Maurizio; Serafini, Gianluca; Amore, Mario

    2016-12-30

    People seeking information and news regarding suicide are likely to use the Internet. However, evidence of the relationship between suicide-related search volumes and national suicide-rates in different countries can be strikingly different. We aimed to investigate the relationship between suicide-rates and Google suicide-related search volumes in the Italian population (2008-2012) using the Italian mortality database that provided monthly national data concerning suicides (2008-2012). Moreover, this study aimed to identify future trends of national suicide rates on the basis of the results we obtained concerning the period 2013-14. Google Trends provided data of online monthly search-volumes of the term "suicide", "commit suicide" and "how to commit suicide" in Google Search and Google News (2008-2014). Google Search volumes for the term "suicide" lags suicide by three months (ρ=0.482, p-valueGoogle News search volumes for the three terms resulted in white noise. Apparently, online searches for suicide-related terms in Italy are more likely to be linked to factors other than suicidiality such as personal interest and suicide bereavement. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  12. From Analysis to Impact: Challenges and Outcomes from Google's Cloud-based Platforms for Analyzing and Leveraging Petapixels of Geospatial Data

    Science.gov (United States)

    Thau, D.

    2017-12-01

    For the past seven years, Google has made petabytes of Earth observation data, and the tools to analyze it, freely available to researchers around the world via cloud computing. These data and tools were initially available via Google Earth Engine and are increasingly available on the Google Cloud Platform. We have introduced a number of APIs for both the analysis and presentation of geospatial data that have been successfully used to create impactful datasets and web applications, including studies of global surface water availability, global tree cover change, and crop yield estimation. Each of these projects used the cloud to analyze thousands to millions of Landsat scenes. The APIs support a range of publishing options, from outputting imagery and data for inclusion in papers, to providing tools for full scale web applications that provide analysis tools of their own. Over the course of developing these tools, we have learned a number of lessons about how to build a publicly available cloud platform for geospatial analysis, and about how the characteristics of an API can affect the kinds of impacts a platform can enable. This study will present an overview of how Google Earth Engine works and how Google's geospatial capabilities are extending to Google Cloud Platform. We will provide a number of case studies describing how these platforms, and the data they host, have been leveraged to build impactful decision support tools used by governments, researchers, and other institutions, and we will describe how the available APIs have shaped (or constrained) those tools. [Image Credit: Tyler A. Erickson

  13. Locating center of mass of earth and geostationary satellites

    International Nuclear Information System (INIS)

    Qureshi, A.; Marvi, M.

    2014-01-01

    CoM (Center of Mass) of earth is a very important factor which can play a major role in satellite communication and related earth sciences. The CoM of earth is assumed to be around equator due to geometrical shape of earth. However, no technical method is available in the literature which can justify the presence of CoM of earth around equator. Therefore, in this research work the CoM of earth has been located theoretically with the help of mathematical relations. It also presents the mathematical justification against the assumption that equator is the CoM of earth. The effect of calculated CoM of earth on geostationary satellites has also been discussed. The CoM of earth has been found mathematically by using land to ocean ratios and the data is collected from the Google earth software. The final results are accurate with an approximate error of 1%. (author)

  14. Monitoring of non-cigarette tobacco use using Google Trends.

    Science.gov (United States)

    Cavazos-Rehg, Patricia A; Krauss, Melissa J; Spitznagel, Edward L; Lowery, Ashley; Grucza, Richard A; Chaloupka, Frank J; Bierut, Laura Jean

    2015-05-01

    Google Trends is an innovative monitoring system with unique potential to monitor and predict important phenomena that may be occurring at a population level. We sought to validate whether Google Trends can additionally detect regional trends in youth and adult tobacco use. We compared 2011 Google Trends relative search volume data for cigars, cigarillos, little cigars and smokeless tobacco with state prevalence of youth (grades 9-12) and adult (age 18 and older) use of these products using data from the 2011 United States state-level Youth Risk Behaviors Surveillance System and the 2010-2011 United States National Survey on Drug Use and Health (NSDUH), respectively. We used the Pearson correlation coefficient to measure the associations. We found significant positive correlations between state Google Trends cigar relative search volume and prevalence of cigar use among youth (r=0.39, R(2) = 0.154, p=0.018) and adults (r=0.49, R(2) = 0.243, pGoogle Trends smokeless tobacco relative search volume and prevalence of smokeless tobacco use among youth and adults were both positive and significant (r=0.46, R(2) = 0.209, p=0.003 and r=0.48, R(2) = 0.226, pGoogle Trends has the potential to be a valuable monitoring tool for tobacco use. The near real-time monitoring features of Google Trends may complement traditional surveillance methods and lead to faster and more convenient monitoring of emerging trends in tobacco use. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  15. Students' Google Drive Intended Usage: A Case Study of Mathematics Courses in Bangkok University

    Science.gov (United States)

    Prasertsith, Krisawan; Kanthawongs, Penjira; Limpachote, Tan

    2016-01-01

    Many technologies have changed the way individuals live and learn. Google Inc. has played significant roles in business and academic worlds. Google Apps for Education and Google Classroom have been offered to higher institutions around the globe. Although large cloud service provider such as Google do not encrypt all their stored electronic data…

  16. 78 FR 75249 - Safety Zone: Google's Night at Sea Fireworks Display, San Francisco Bay, Alameda, CA

    Science.gov (United States)

    2013-12-11

    ...-AA00 Safety Zone: Google's Night at Sea Fireworks Display, San Francisco Bay, Alameda, CA AGENCY: Coast... Google's Night at Sea Fireworks Displays on December 7, 2013 and December 14, 2013. These safety zones... Coast Guard to establish safety zones. Google will sponsor the Google's Night at Sea Fireworks Displays...

  17. Confessions of a Librarian or: How I Learned to Stop Worrying and Love Google

    Science.gov (United States)

    Gunnels, Claire B.; Sisson, Amy

    2009-01-01

    Have you ever stopped to think about life before Google? We will make the argument that Google is the first manifestation of Web 2.0, of the power and promise of social networking and the ubiquitous wiki. We will discuss the positive influence of Google and how Google and other social networking tools afford librarians leading-edge technologies…

  18. Live ECG readings using Google Glass in emergency situations.

    Science.gov (United States)

    Schaer, Roger; Salamin, Fanny; Jimenez Del Toro, Oscar Alfonso; Atzori, Manfredo; Muller, Henning; Widmer, Antoine

    2015-01-01

    Most sudden cardiac problems require rapid treatment to preserve life. In this regard, electrocardiograms (ECG) shown on vital parameter monitoring systems help medical staff to detect problems. In some situations, such monitoring systems may display information in a less than convenient way for medical staff. For example, vital parameters are displayed on large screens outside the field of view of a surgeon during cardiac surgery. This may lead to losing time and to mistakes when problems occur during cardiac operations. In this paper we present a novel approach to display vital parameters such as the second derivative of the ECG rhythm and heart rate close to the field of view of a surgeon using Google Glass. As a preliminary assessment, we run an experimental study to verify the possibility for medical staff to identify abnormal ECG rhythms from Google Glass. This study compares 6 ECG rhythms readings from a 13.3 inch laptop screen and from the prism of Google Glass. Seven medical residents in internal medicine participated in the study. The preliminary results show that there is no difference between identifying these 6 ECG rhythms from the laptop screen versus Google Glass. Both allow close to perfect identification of the 6 common ECG rhythms. This shows the potential of connected glasses such as Google Glass to be useful in selected medical applications.

  19. CERN and Google team up for Science Fair

    CERN Multimedia

    Katarina Anthony

    2011-01-01

    CERN partners up with Google to present the world’s first online global science competition: the Google Science Fair.   The Google Science Fair invites young people aged 13-18 to conduct innovative science projects and present their results for the chance to win once-in-a-lifetime experiences and opportunities. CERN will offer a three-day visit to the Laboratory to one of the winners, and Rolf Heuer, CERN Director-General, will be on the prestigious panel of judges. Nobel laureates, science entrepreneurs, and science communicators will have the difficult task of choosing the winners. “Google is a company that was born from scientific experimentation and in that spirit we are interested in promoting science, technology, engineering and maths (best known as STEM) education all over the world,” says Samantha Peter, Education Product Marketing Manager at Google. “By creating a large competition where students can get immersed in these subjects and have the op...

  20. The complete guide to using Google in libraries instruction, administration, and staff productivity

    CERN Document Server

    Smallwood, Carol

    2015-01-01

    Carol Smallwood's The Complete Guide to Using Google in Libraries, Volume 1: Instruction, Administration, and Staff Productivity explores how Google's suite of tools, from Google Docs (now Google Drive), Google Scholar, Hangout, Forms, and others made freely available to the Internet Community, can be used by libraries to expand the role of digital operations in the management of library materials, to communicate with their patrons and collaborators, to exploit the resources on the Web, and many others.

  1. Google Scholar compared to Web of Science. A Literature Review

    Directory of Open Access Journals (Sweden)

    Susanne Mikki

    2009-03-01

    Full Text Available Teaching information literacy at higher educational institutions forms the background for the current review. In order to provide an appropriate educational service for research scholars, Google Scholar is considered for teaching. To obtain insight into Google Scholar, it is compared to Web of Science (WoS, the most recognized database for peer reviewed content, well known to librarians and the research community. Both databases are multidisciplinary, provide links to library holdings and offer opportunities for export of references. In addition they have the powerful feature of tracking cited and citing items. The study aims at constructing a deeper understanding of Google Scholar. It is based on a literature review comparing database content, coverage and research impact measures.

  2. Using Google Glass in Surgical Settings: Systematic Review.

    Science.gov (United States)

    Wei, Nancy J; Dougherty, Bryn; Myers, Aundria; Badawy, Sherif M

    2018-03-06

    In recent years, wearable devices have become increasingly attractive and the health care industry has been especially drawn to Google Glass because of its ability to serve as a head-mounted wearable device. The use of Google Glass in surgical settings is of particular interest due to the hands-free device potential to streamline workflow and maintain sterile conditions in an operating room environment. The aim is to conduct a systematic evaluation of the literature on the feasibility and acceptability of using Google Glass in surgical settings and to assess the potential benefits and limitations of its application. The literature was searched for articles published between January 2013 and May 2017. The search included the following databases: PubMed MEDLINE, Embase, Cumulative Index to Nursing and Allied Health Literature, PsycINFO (EBSCO), and IEEE Xplore. Two reviewers independently screened titles and abstracts and assessed full-text articles. Original research articles that evaluated the feasibility, usability, or acceptability of using Google Glass in surgical settings were included. This review was completed following the Preferred Reporting Results of Systematic Reviews and Meta-Analyses guidelines. Of the 520 records obtained, 31 met all predefined criteria and were included in this review. Google Glass was used in various surgical specialties. Most studies were in the United States (23/31, 74%) and all were conducted in hospital settings: 29 in adult hospitals (29/31, 94%) and two in children's hospitals (2/31, 7%). Sample sizes of participants who wore Google Glass ranged from 1 to 40. Of the 31 studies, 25 (81%) were conducted under real-time conditions or actual clinical care settings, whereas the other six (19%) were conducted under simulated environment. Twenty-six studies were pilot or feasibility studies (84%), three were case studies (10%), and two were randomized controlled trials (6%). The majority of studies examined the potential use of

  3. Google Maps offers a new way to evaluate claudication.

    Science.gov (United States)

    Khambati, Husain; Boles, Kim; Jetty, Prasad

    2017-05-01

    Accurate determination of walking capacity is important for the clinical diagnosis and management plan for patients with peripheral arterial disease. The current "gold standard" of measurement is walking distance on a treadmill. However, treadmill testing is not always reflective of the patient's natural walking conditions, and it may not be fully accessible in every vascular clinic. The objective of this study was to determine whether Google Maps, the readily available GPS-based mapping tool, offers an accurate and accessible method of evaluating walking distances in vascular claudication patients. Patients presenting to the outpatient vascular surgery clinic between November 2013 and April 2014 at the Ottawa Hospital with vasculogenic calf, buttock, and thigh claudication symptoms were identified and prospectively enrolled in our study. Onset of claudication symptoms and maximal walking distance (MWD) were evaluated using four tools: history; Walking Impairment Questionnaire (WIQ), a validated claudication survey; Google Maps distance calculator (patients were asked to report their daily walking routes on the Google Maps-based tool runningmap.com, and walking distances were calculated accordingly); and treadmill testing for onset of symptoms and MWD, recorded in a double-blinded fashion. Fifteen patients were recruited for the study. Determination of walking distances using Google Maps proved to be more accurate than by both clinical history and WIQ, correlating highly with the gold standard of treadmill testing for both claudication onset (r = .805; P Google Maps tool was also efficient, with reporting times averaging below 4 minutes. For vascular claudicants with no other walking limitations, Google Maps is a promising new tool that combines the objective strengths of the treadmill test and incorporates real-world walking environments. It offers an accurate, efficient, inexpensive, and readily accessible way to assess walking distances in patients with

  4. Ultrasound-guided central venous access using Google Glass.

    Science.gov (United States)

    Wu, Teresa S; Dameff, Christian J; Tully, Jeffrey L

    2014-12-01

    The use of ultrasound during invasive bedside procedures is quickly becoming the standard of care. Ultrasound machine placement during procedures often requires the practitioner to turn their head during the procedure to view the screen. Such turning has been implicated in unintentional hand movements in novices. Google Glass is a head-mounted computer with a specialized screen capable of projecting images and video into the view of the wearer. Such technology may help decrease unintentional hand movements. Our aim was to evaluate whether or not medical practitioners at various levels of training could use Google Glass to perform an ultrasound-guided procedure, and to explore potential advantages of this technology. Forty participants of varying training levels were randomized into two groups. One group used Google Glass to perform an ultrasound-guided central line. The other group used traditional ultrasound during the procedure. Video recordings of eye and hand movements were analyzed. All participants from both groups were able to complete the procedure without difficulty. Google Glass wearers took longer to perform the procedure at all training levels (medical student year 1 [MS1]: 193 s vs. 77 s, p > 0.5; MS4: 197s vs. 91s, p ≤ 0.05; postgraduate year 1 [PGY1]: 288s vs. 125 s, p > 0.5; PGY3: 151 s vs. 52 s, p ≤ 0.05), and required more needle redirections (MS1: 4.4 vs. 2.0, p > 0.5; MS4: 4.8 vs. 2.8, p > 0.5; PGY1: 4.4 vs. 2.8, p > 0.5; PGY3: 2.0 vs. 1.0, p > 0.5). In this study, it was possible to perform ultrasound-guided procedures with Google Glass. Google Glass wearers, on average, took longer to gain access, and had more needle redirections, but less head movements were noted. Copyright © 2014 Elsevier Inc. All rights reserved.

  5. Application based on ArcObject inquiry and Google maps demonstration to real estate database

    Science.gov (United States)

    Hwang, JinTsong

    2007-06-01

    Real estate industry in Taiwan has been flourishing in recent years. To acquire various and abundant information of real estate for sale is the same goal for the consumers and the brokerages. Therefore, before looking at the property, it is important to get all pertinent information possible. Not only this beneficial for the real estate agent as they can provide the sellers with the most information, thereby solidifying the interest of the buyer, but may also save time and the cost of manpower were something out of place. Most of the brokerage sites are aware of utilizes Internet as form of media for publicity however; the contents are limited to specific property itself and the functions of query are mostly just provided searching by condition. This paper proposes a query interface on website which gives function of zone query by spatial analysis for non-GIS users, developing a user-friendly interface with ArcObject in VB6, and query by condition. The inquiry results can show on the web page which is embedded functions of Google Maps and the UrMap API on it. In addition, the demonstration of inquiry results will give the multimedia present way which includes hyperlink to Google Earth with surrounding of the property, the Virtual Reality scene of house, panorama of interior of building and so on. Therefore, the website provides extra spatial solution for query and demonstration abundant information of real estate in two-dimensional and three-dimensional types of view.

  6. SOME ASPECTS OF USING GOOGLE APPS INTO HIGHER EDUCATIONAL INSTITUTION

    Directory of Open Access Journals (Sweden)

    V. Oleksyuk

    2013-03-01

    Full Text Available The article investigated the concept of information and educational space» and determined the aspects of integration of its services. The unified authentication is an important component of information and educational space. It can be based on LDAP-directory. This study presented the main advantages of using Google Apps in process of learning. We described the experience of the integration Google Apps into information and educational space of Department of Physics and Mathematics of Ternopil V. Hnatyuk National Pedagogical University.

  7. The effect of new links on Google PageRank

    OpenAIRE

    Avrachenkov, Konstatin; Litvak, Nelli

    2004-01-01

    PageRank is one of the principle criteria according to which Google ranks Web pages. PageRank can be interpreted as a frequency of visiting a Web page by a random surfer and thus it reflects the popularity of a Web page. We study the effect of newly created links on Google PageRank. We discuss to what extend a page can control its PageRank. Using the asymptotic analysis we provide simple conditions that show if new links bring benefits to a Web page and its neighbors in terms of PageRank or t...

  8. Seasonality of Ankle Swelling: Population Symptom Reporting Using Google Trends.

    Science.gov (United States)

    Liu, Fangwei; Allan, G Michael; Korownyk, Christina; Kolber, Michael; Flook, Nigel; Sternberg, Harvey; Garrison, Scott

    2016-07-01

    In our experience, complaints of ankle swelling are more common in summer, typically from patients with no obvious cardiovascular disease. Surprisingly, this observation has never been reported. To objectively establish this phenomenon, we sought evidence of seasonality in the public's Internet searches for ankle swelling. Our data, obtained from Google Trends, consisted of all related Google searches in the United States from January 4, 2004, to January 26, 2016. Consistent with our expectations and confirmed by similar data for Australia, Internet searches for information on ankle swelling are highly seasonal (highest in midsummer), with seasonality explaining 86% of search volume variability. © 2016 Annals of Family Medicine, Inc.

  9. Discovering Digital Library User Behavior with Google Analytics

    Directory of Open Access Journals (Sweden)

    Kirk Hess

    2012-06-01

    Full Text Available Google Analytics has advanced features for tracking search queries, events such as clicking external links or downloading files, which you can use to track user behavior that is normally difficult to track with traditional web logging software. By tracking behavior, you can use Google Analytics API to extract data and integrate it with data from your digital repository to show granular data about individual items. Using this information, digital libraries can learn how users use the site without extensive HCI studies, and can use this information to improve the user experience.

  10. Implementing Parallel Google Map-Reduce in Eden

    DEFF Research Database (Denmark)

    Berthold, Jost; Dieterle, Mischa; Loogen, Rita

    2009-01-01

    optimised version, in the parallel Haskell extension Eden. Eden's specific features, like lazy stream processing, dynamic reply channels, and nondeterministic stream merging, support the efficient implementation of the complex coordination structure of this skeleton. We compare the two implementations......Recent publications have emphasised map-reduce as a general programming model (labelled Google map-reduce), and described existing high-performance implementations for large data sets. We present two parallel implementations for this Google map-reduce skeleton, one following earlier work, and one...

  11. COLWRIT – Collaborative Online Writing in Google Docs

    DEFF Research Database (Denmark)

    Andreasen, Lars Birch; Winther, Frederikke; Hanghøj, Thorkild

    2014-01-01

    The poster presents preliminary hypotheses and findings of an on-going research project at Aalborg University, Denmark, which explores university students’ uses of collaborative writing tools like Google Docs when doing collaborative project work. The research project has a special focus on the v......The poster presents preliminary hypotheses and findings of an on-going research project at Aalborg University, Denmark, which explores university students’ uses of collaborative writing tools like Google Docs when doing collaborative project work. The research project has a special focus...

  12. Experimental Measures of News Personalization in Google News

    DEFF Research Database (Denmark)

    Cozza, Vittoria; Hoang, Van Tien; Petrocchi, Marinella

    2016-01-01

    Search engines and social media keep trace of profile- and behavioral-based distinct signals of their users, to provide them personalized and recommended content. Here, we focus on the level of web search personalization, to estimate the risk of trapping the user into so called Filter Bubbles. Ou...... experimentation has been carried out on news, specifically investigating the Google News platform. Our results are in line with existing literature and call for further analyses on which kind of users are the target of specific recommendations by Google....

  13. Google SketchUp Workshop Modeling, Visualizing, and Illustrating

    CERN Document Server

    Brixius, Laurent

    2010-01-01

    Discover the secrets of the Google SketchUp with the 16 real-world professional-level projects including parks, structures, concept art, and illustration. Google SketchUp Workshop includes all the wide variety of projects that SketchUp can be used for-architectural visualization, landscape design, video game and film conception, and more. SketchUp masters in every field will get you up to speed in this agile and intuitive software and then show you the real uses with through projects in architecture, engineering, and design. * Packed with 16 real-world Go

  14. Model Interpretation of Topological Spatial Analysis for the Visually Impaired (Blind Implemented in Google Maps

    Directory of Open Access Journals (Sweden)

    Marcelo Franco Porto

    2013-06-01

    Full Text Available The technological innovations promote the availability of geographic information on the Internet through Web GIS such as Google Earth and Google Maps. These systems contribute to the teaching and diffusion of geographical knowledge that instigates the recognition of the space we live in, leading to the creation of a spatial identity. In these products available on the Web, the interpretation and analysis of spatial information gives priority to one of the human senses: vision. Due to the fact that this representation of information is transmitted visually (image and vectors, a portion of the population is excluded from part of this knowledge because categories of analysis of geographic data such as borders, territory, and space can only be understood by people who can see. This paper deals with the development of a model of interpretation of topological spatial analysis based on the synthesis of voice and sounds that can be used by the visually impaired (blind.The implementation of a prototype in Google Maps and the usability tests performed are also examined. For the development work it was necessary to define the model of topological spatial analysis, focusing on computational implementation, which allows users to interpret the spatial relationships of regions (countries, states and municipalities, recognizing its limits, neighborhoods and extension beyond their own spatial relationships . With this goal in mind, several interface and usability guidelines were drawn up to be used by the visually impaired (blind. We conducted a detailed study of the Google Maps API (Application Programming Interface, which was the environment selected for prototype development, and studied the information available for the users of that system. The prototype was developed based on the synthesis of voice and sounds that implement the proposed model in C # language and in .NET environment. To measure the efficiency and effectiveness of the prototype, usability

  15. The Google Science Fair winner comes to CERN

    CERN Multimedia

    CERN Bulletin

    2011-01-01

    Shree Bose, the Google Science Fair Grand Prize winner, will come to CERN for a three-day internship. She is looking forward to it and hopes to sit in the CERN Control Room, and to learn more about ALICE and in general the work going on here right now.   Google Science Fair winners Lauren Hodge (left) Shree Bose (middle) and Naomi Shah (right). (Image Copyright Google) Despite her young age, Shree Bose is already an experienced researcher. Indeed, she has already been awarded prestigious prizes in various science fairs and competitions. Aged 17, she found a way to improve ovarian cancer treatment for patients when they have built up a resistance to certain chemotherapy drugs. The project won the Grand Prize at the Google Science Fair, and together with an amazing 10-day trip to the Galapagos Islands with National Geographic Expeditions, she also won a trip to CERN. “Shree will visit several experimental sites here and will sit next to our physicists and engineers, in the CCC an...

  16. Google Glass: An Evolution in Education or the Next Segway?

    Science.gov (United States)

    Bailey, J. E.

    2013-12-01

    When the Segway was unveiled in 2001, amid a cloud of internet buzz, it was supposed to revolutionize personal transportation. There is no denying the Segway is a remarkable piece of technological engineering but that ingenuity never transformed into sales or integration into society outside of security guards and tour guides. When Google announced Glass in 2012, to date the most high profile development from their "moonshot thinking" Project X engineering think-tank, similar life changing proclamations were made. Whether Google Glass will permeate everyday society is still unknown as the device has yet to be made available to the general public, and currently there are fewer than 10,000 pairs in circulation worldwide. However, the possibilities remain intriguing, particularly in the area of educational technology and understanding of student learning. The concept of virtual fieldtrips is well established, but the idea that Glass (using Google Hangouts) can be used to present in and connect to classrooms anywhere in the world, whilst showing views directly from a teacher's perspective is exciting. Alternatively, the idea that a teacher can follow the actions and movements of a student working on an assignment from that student's viewpoint offers huge potential for understanding cognitive learning. This presentation will pose some of the question surrounding Google Glass in education, and seek answers and opinions from others. The device itself will also be demonstrated, and the pros and cons of its design discussed.

  17. The use of Google Drive in clinical audit.

    Science.gov (United States)

    Gan, A; Okonkwo, O

    2014-07-01

    Audit is an important aspect of clinical governance and of the training of health-care professionals. Conventional methods of audit data collection can be time consuming and inefficient. This article suggests a novel technique of using Google Drive, with adherence to the Caldicott principles, to facilitate data collection in both local and multicentre audits.

  18. Wearable technology: using Google Glass as a teaching tool.

    Science.gov (United States)

    Knight, Hui Min; Gajendragadkar, Parag Ravindra; Bokhari, Awais

    2015-05-12

    Wearable technology holds great promise in revolutionising healthcare delivery. The benefits can also be seen in medical education and delivering healthcare in remote places. We report the use of Google Glass technology as a teaching tool in broadcasting a procedure onto a mobile phone as a viewer, replacing expensive and often cumbersome existing equipment. 2015 BMJ Publishing Group Ltd.

  19. The Internet and the Google Age: Prospects and Perils

    Science.gov (United States)

    James, Jonathan D., Ed.

    2014-01-01

    "The Internet and the Google Age" commemorates the 25th Anniversary of the Internet in March 2014 and celebrates the achievements and benefits while also pointing out the limitations and perils of the Internet. It identifies the broad characteristics of the Internet age, and includes several studies that outline the educational benefits…

  20. The Google Online Marketing Challenge and Distributed Learning

    Science.gov (United States)

    Brown, Ron T.; Albright, Kendra S.

    2013-01-01

    Stagnant perceptions continue to persist in the general public regarding the services libraries offer. LIS research suggests an increased need for marketing, yet LIS programs and students may not view marketing as core to the degree. The Google Online Marketing Challenge (GOMC), a global competition for online marketing, was incorporated into two…

  1. Google and global market search: information signals and knowledge indices

    NARCIS (Netherlands)

    Millar-Schijf, Carla C.J.M.; Choi, Chong-Ju; Millar, Hartley

    2008-01-01

    With perfect information an economically rational market is expected. In the ICT age the introduction of a shopping/price comparison facility (Froogle) by a company with a search reputation as pre-eminent as Google leads to the expectation that it will allow comparison of products in terms not only

  2. Challenging Google, Microsoft Unveils a Search Tool for Scholarly Articles

    Science.gov (United States)

    Carlson, Scott

    2006-01-01

    Microsoft has introduced a new search tool to help people find scholarly articles online. The service, which includes journal articles from prominent academic societies and publishers, puts Microsoft in direct competition with Google Scholar. The new free search tool, which should work on most Web browsers, is called Windows Live Academic Search…

  3. Internet Advertising. Google AdWords versus Facebook Ads

    Directory of Open Access Journals (Sweden)

    Paul PAŞCU

    2014-05-01

    Full Text Available This article describes how to use the applications for Internet advertising, Google AdWords and Facebook Ads. Our attempt is to present the advantages and disadvantages of each of them, the costs and benefits, a useful aspect for companies that plan to start advertising campaigns on the Internet.

  4. Use of Google Scholar public profiles in orthopedics.

    Science.gov (United States)

    Tetsworth, Kevin; Fraser, Dave; Glatt, Vaida; Hohmann, Erik

    2017-01-01

    The purpose of this study was to survey the growth of Google Scholar public profiles in orthopedics over a 12-month period and to investigate global patterns. Data was prospectively acquired from June 2013 to June 2014. Google Scholar queries specific to orthopedic surgery were performed at 90-day intervals. Demographic aspects of each user were also compiled, including gender, current location, and primary interests. To determine differences between the growth of Google Scholar public profile registrations and citation counts, as well as differences in growth in different regions, repeated measures of analysis of variance (RMANOVA) were used. RMANOVA revealed statistically significant differences ( p = 0.0001) for regional growth. The largest growth was observed in the United Kingdom ( p = 0.009, 289%), followed by the Asia-Pacific region ( p = 0.004, 177%) and "Other" ( p = 0.006, 172%). The mean growth per 90-day interval is 19.9% ( p = 0.003) and the mean 12-month growth is 107% ( p = 0.05). Statistically significant differences between gender (male vs. female) and basic and clinical sciences ( χ 2 = 22.4, p = 0.0001) were observed. This study suggests an exponential growth in the number of authors in the field of orthopedic surgery creating a Google Scholar public profile, and at the current rate participation doubles every 10.6 months.

  5. BusinessWeek : meie valikuks on Google / Tarvo Vaarmets

    Index Scriptorium Estoniae

    Vaarmets, Tarvo

    2007-01-01

    Ajakiri BusinessWeek järjestas viimase kolme aasta tulemuste põhjal Standard & Poor's 500 indeksi koosseisu kuuluvad parimad ettevõtted. Tabel: Ettevõtete edetabel. Vt. samas: Google kroonib edetabelit; Sunoco; Colgate-Palmolive; Avon Products

  6. Internet Advertising. Google AdWords versus Facebook Ads

    OpenAIRE

    Paul PAŞCU

    2014-01-01

    This article describes how to use the applications for Internet advertising, Google AdWords and Facebook Ads. Our attempt is to present the advantages and disadvantages of each of them, the costs and benefits, a useful aspect for companies that plan to start advertising campaigns on the Internet.

  7. The Use of Google Scholar for Research and Research Dissemination

    Science.gov (United States)

    Zientek, Linda R.; Werner, Jon M.; Campuzano, Mariela V.; Nimon, Kim

    2018-01-01

    The abundance of technological and Internet resources can both simplify and complicate a researcher's world. Such innovations place a burden on researchers to stay current with advances in technology and then discern the best technology tools to utilize. We first discuss benefits that Google Scholar can provide in the preparation of the literature…

  8. Google and the search for a theory of harm

    DEFF Research Database (Denmark)

    Bergqvist, Christian

    2018-01-01

    The Commission has published its June 2017 Google decision, thus exposing it to scrutiny. While the work undertaken by the EU Commission is impressive and bold, much of the legal dimension of the decision bears discussion. Moreover, the case has been redacted significantly, thus leaving open...

  9. De Google Book-schikking: de wereldliteratuur gelicentieerd

    NARCIS (Netherlands)

    Hugenholtz, B.

    2009-01-01

    Het Google Book project is de Bibliotheca Alexandrina van deze tijd. Meer dan tien miljoen boeken, waarvan vele van Nederlandse schrijvers, zijn binnen korte tijd digitaal ontsloten en doorzoekbaar gemaakt. Het project roept boeiende vragen op, niet alleen over de toekomst van de bibliotheek en

  10. Google Forms aitab treeningpäevikut luua / Karis Niisuke

    Index Scriptorium Estoniae

    Niisuke, Karis

    2015-01-01

    1.09.2015 riigigümnaasiumina alustanud Jõhvi Gümnaasium seadis õpetajad uude olukorda, tuli leida toimivad lahendused muutunud õppekorraldusega toimetulekuks. Nii sündis veebipõhise treeningpäeviku lahendus Google Forms näol

  11. Integration of Apollo Lunar Sample Data into Google Moon

    Science.gov (United States)

    Dawson, Melissa D.; Todd, Nancy S.; Lofgren, Gary

    2010-01-01

    The Google Moon Apollo Lunar Sample Data Integration project is a continuation of the Apollo 15 Google Moon Add-On project, which provides a scientific and educational tool for the study of the Moon and its geologic features. The main goal of this project is to provide a user-friendly interface for an interactive and educational outreach and learning tool for the Apollo missions. Specifically, this project?s focus is the dissemination of information about the lunar samples collected during the Apollo missions by providing any additional information needed to enhance the Apollo mission data on Google Moon. Apollo missions 15 and 16 were chosen to be completed first due to the availability of digitized lunar sample photographs and the amount of media associated with these missions. The user will be able to learn about the lunar samples collected in these Apollo missions, as well as see videos, pictures, and 360 degree panoramas of the lunar surface depicting the lunar samples in their natural state, following collection and during processing at NASA. Once completed, these interactive data layers will be submitted for inclusion into the Apollo 15 and 16 missions on Google Moon.

  12. Using Google Glass in Nonsurgical Medical Settings: Systematic Review.

    Science.gov (United States)

    Dougherty, Bryn; Badawy, Sherif M

    2017-10-19

    Wearable technologies provide users hands-free access to computer functions and are becoming increasingly popular on both the consumer market and in various industries. The medical industry has pioneered research and implementation of head-mounted wearable devices, such as Google Glass. Most of this research has focused on surgical interventions; however, other medical fields have begun to explore the potential of this technology to support both patients and clinicians. Our aim was to systematically evaluate the feasibility, usability, and acceptability of using Google Glass in nonsurgical medical settings and to determine the benefits, limitations, and future directions of its application. This review covers literature published between January 2013 and May 2017. Searches included PubMed MEDLINE, Embase, INSPEC (Ebsco), Cochrane Central Register of Controlled Trials (CENTRAL), IEEE Explore, Web of Science, Scopus, and Compendex. The search strategy sought all articles on Google Glass. Two reviewers independently screened titles and abstracts, assessed full-text articles, and extracted data from articles that met all predefined criteria. Any disagreements were resolved by discussion or consultation by the senior author. Included studies were original research articles that evaluated the feasibility, usability, or acceptability of Google Glass in nonsurgical medical settings. The preferred reporting results of systematic reviews and meta-analyses (PRISMA) guidelines were followed for reporting of results. Of the 852 records examined, 51 met all predefined criteria, including patient-centered (n=21) and clinician-centered studies (n=30). Patient-centered studies explored the utility of Google Glass in supporting patients with motor impairments (n=8), visual impairments (n=5), developmental and psychiatric disorders (n=2), weight management concerns (n=3), allergies (n=1), or other health concerns (n=2). Clinician-centered studies explored the utility of Google Glass

  13. Journal of Earth System Science | Indian Academy of Sciences

    Indian Academy of Sciences (India)

    In total, 59 landslides were identified using Google Earth and were verified during the field survey in Barpak village. Furthermore, 11 conditioning factors, including Peak ground acceleration (PGA), epicenter proximity, fault proximity, geology, slope, elevation, plan curvature, profile curvature, topographic wetness index, ...

  14. Googling in Anatomy Education: Can Google Trends Inform Educators of National Online Search Patterns of Anatomical Syllabi?

    Science.gov (United States)

    Phelan, Nigel; Davy, Shane; O'Keeffe, Gerard W.; Barry, Denis S.

    2017-01-01

    The role of e-learning platforms in anatomy education continues to expand as self-directed learning is promoted in higher education. Although a wide range of e-learning resources are available, determining student use of non-academic internet resources requires novel approaches. One such approach that may be useful is the Google Trends© web…

  15. Google vs. the Library (Part II): Student Search Patterns and Behaviors When Using Google and a Federated Search Tool

    Science.gov (United States)

    Georgas, Helen

    2014-01-01

    This study examines the information-seeking behavior of undergraduate students within a research context. Student searches were recorded while the participants used Google and a library (federated) search tool to find sources (one book, two articles, and one other source of their choosing) for a selected topic. The undergraduates in this study…

  16. Smarter Earth Science Data System

    Science.gov (United States)

    Huang, Thomas

    2013-01-01

    The explosive growth in Earth observational data in the recent decade demands a better method of interoperability across heterogeneous systems. The Earth science data system community has mastered the art in storing large volume of observational data, but it is still unclear how this traditional method scale over time as we are entering the age of Big Data. Indexed search solutions such as Apache Solr (Smiley and Pugh, 2011) provides fast, scalable search via keyword or phases without any reasoning or inference. The modern search solutions such as Googles Knowledge Graph (Singhal, 2012) and Microsoft Bing, all utilize semantic reasoning to improve its accuracy in searches. The Earth science user community is demanding for an intelligent solution to help them finding the right data for their researches. The Ontological System for Context Artifacts and Resources (OSCAR) (Huang et al., 2012), was created in response to the DARPA Adaptive Vehicle Make (AVM) programs need for an intelligent context models management system to empower its terrain simulation subsystem. The core component of OSCAR is the Environmental Context Ontology (ECO) is built using the Semantic Web for Earth and Environmental Terminology (SWEET) (Raskin and Pan, 2005). This paper presents the current data archival methodology within a NASA Earth science data centers and discuss using semantic web to improve the way we capture and serve data to our users.

  17. Looking at plastic surgery through Google Glass: part 1. Systematic review of Google Glass evidence and the first plastic surgical procedures.

    Science.gov (United States)

    Davis, Christopher R; Rosenfield, Lorne K

    2015-03-01

    Google Glass has the potential to become a ubiquitous and translational technological tool within clinical plastic surgery. Google Glass allows clinicians to remotely view patient notes, laboratory results, and imaging; training can be augmented via streamed expert master classes; and patient safety can be improved by remote advice from a senior colleague. This systematic review identified and appraised every Google Glass publication relevant to plastic surgery and describes the first plastic surgical procedures recorded using Google Glass. A systematic review was performed using PubMed National Center for Biotechnology Information, Ovid MEDLINE, and the Cochrane Central Register of Controlled Trials, following modified Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Key search terms "Google" and "Glass" identified mutually inclusive publications that were screened for inclusion. Eighty-two publications were identified, with 21 included for review. Google Glass publications were formal articles (n = 3), editorial/commentary articles (n = 7), conference proceedings (n = 1), news reports (n = 3), and online articles (n = 7). Data support Google Glass' positive impact on health care delivery, clinical training, medical documentation, and patient safety. Concerns exist regarding patient confidentiality, technical issues, and limited software. The first plastic surgical procedure performed using Google Glass was a blepharoplasty on October 29, 2013. Google Glass is an exciting translational technology with the potential to positively impact health care delivery, medical documentation, surgical training, and patient safety. Further high-quality scientific research is required to formally appraise Google Glass in the clinical setting.

  18. Microsofti sõda Googleþi vastu / Jay Greene

    Index Scriptorium Estoniae

    Greene, Jay

    2008-01-01

    Microsofti konkurentsist Googleþiga, ettevõtte uuest strateegiast saavutada ülekaal internetireklaamiturul. Graafik. Lisad: Microsofti reklaamiimperatiiv; Veebireklaami turg; Tarkvara kolib veebi; Google'i eduseis; Reklaamimaht kasvab

  19. Analysis of the interests of Google users on toothache information.

    Directory of Open Access Journals (Sweden)

    Matheus Lotto

    Full Text Available The knowledge on health interests of a given population of Internet users might contribute to the increase of evidence on community's dental needs, and consequently, to the improvement of public health planning. The frequency of searches for specific issues on Google can be analyzed by the application of Google Trends.In this study, we aimed to characterize the interests on toothache information of Google users from the United States, United Kingdom, Australia and Brazil.The monthly variation of relative search volume (RSV and the lists of main toothache-related queries were determined from January 2004 through April 2016 using Google Trends. Autoregressive Integrated Moving Average (ARIMA forecasting models were developed to determine predictive RSV values for toothache for additional 12 months. Autocorrelation plots and general additive model (GAM were applied to determine trends and seasonality in RSV curves. Through linear regression models, we assessed the association between the variation of annual means of RSV values and national statistics for toothache in the U.S. and U.K. Subsequently, the distribution of main queries according to the identification of endodontic pain, type of searching information, and the interest in self-management of toothache was evaluated for the four countries.The autocorrelation plots showed patterns of non-stationary time series. The monthly variation influenced the data of the U.S. and U.K., with the higher RSV values found respectively in January/July and December. Also, the interest on toothache in the U.K. increases in the second semester and in the fourth quarter, especially in December. Additionally, an annual variation affected significantly all time series, with the increment of RSV means over the years, varying from 265% in the U.S. to 745% in Brazil. In parallel, the increments in RSV values were also observed in all predictive curves. The annual variation of observed and fitted RSV values was

  20. Global Flood Risk From Advanced Modeling and Remote Sensing in Collaboration With Google Earth Engine

    Data.gov (United States)

    National Aeronautics and Space Administration — As predictive accuracy of the climate response to greenhouse emissions improves, measurements of sea level rise are being coupled with modeling to better understand...

  1. Understanding "Change" through Spatial Thinking Using Google Earth in Secondary Geography

    Science.gov (United States)

    Xiang, X.; Liu, Y.

    2017-01-01

    Understanding geographic changes has become an indispensable element in geography education. Describing and analyzing changes in space require spatial thinking skills emphasized in geography curriculum but often pose challenges for secondary school students. This school-based research targets a specific strand of spatial thinking skills and…

  2. The complete guide to using Google in libraries research, user applications, and networking

    CERN Document Server

    Smallwood, Carol

    2015-01-01

    Google has now developed services far beyond text search. Google software will translate languages and support collaborative writing. The chapters in this book look at many Google services, from music to finance, and describe how they can be used by students and other library users.

  3. Google Trends terms reporting rhinitis and related topics differ in European countries

    NARCIS (Netherlands)

    Bousquet, Jean; Agache, Ioana; Anto, Josep M.; Bergmann, Karl C.; Bachert, Claus; Annesi-Maesano, Isabella; Bousquet, Philippe J.; D'Amato, Gennaro; Demoly, Pascal; de Vries, Govert; Eller, Esben; Fokkens, Wytske; Fonseca, Joao; Haahtela, Tari; Hellings, Peter W.; Just, Jocelyne; Keil, Thomas; Klimek, Ludger; Kuna, Piotr; Carlsen, Karin C. Lodrup; Mösges, Ralf; Murray, Ruth; Nekam, Kristof; Onorato, Gabrielle; Papadopoulos, Nikos G.; Samolinski, Boleslaw; Schmid-Grendelmeier, Peter; Thibaudon, Michel; Tomazic, Peter; Triggiani, Massimo; Valiulis, Arunas; Valovirta, Erkka; van Eerd, Michiel; Wickman, Magnus; Zuberbier, Torsten; Sheikh, Aziz

    2017-01-01

    Google Trends (GT) searches trends of specific queries in Google and reflects the real-life epidemiology of allergic rhinitis. We compared Google Trends terms related to allergy and rhinitis in all European Union countries, Norway and Switzerland from 1 January 2011 to 20 December 2016. The aim was

  4. Curating the Web: Building a Google Custom Search Engine for the Arts

    Science.gov (United States)

    Hennesy, Cody; Bowman, John

    2008-01-01

    Google's first foray onto the web made search simple and results relevant. With its Co-op platform, Google has taken another step toward dramatically increasing the relevancy of search results, further adapting the World Wide Web to local needs. Google Custom Search Engine, a tool on the Co-op platform, puts one in control of his or her own search…

  5. Institutional Repositories in the UK: What Can the Google User Find There?

    Science.gov (United States)

    Markland, Margaret

    2006-01-01

    This study investigates the efficiency of the Google search engine at retrieving items from 26 UK Institutional Repositories, covering a wide range of subject areas. One item is chosen from each repository and four searches are carried out: two keyword searches and two full title searches, each using both Google and then Google Scholar. A further…

  6. 100 Colleges Sign Up with Google to Speed Access to Library Resources

    Science.gov (United States)

    Young, Jeffrey R.

    2005-01-01

    More than 100 colleges and universities have arranged to give people using the Google Scholar search engine on their campuses more-direct access to library materials. Google Scholar is a free tool that searches scholarly materials on the Web and in academic databases. The new arrangements essentially let Google know which online databases the…

  7. Freedom of Expression and 'Right to Be Forgotten' Cases in the Netherlands after Google Spain

    NARCIS (Netherlands)

    Kulk, S.; Zuiderveen Borgesius, F.

    2015-01-01

    Since the Google Spain judgment of the Court of Justice of the European Union, Europeans have, under certain conditions, the right to have search results for their name delisted. This paper examines how the Google Spain judgment has been applied in the Netherlands. Since the Google Spain judgment,

  8. From Tech Skills to Life Skills: Google Online Marketing Challenge and Experiential Learning

    Science.gov (United States)

    Croes, Jo-Anne V.; Visser, Melina M.

    2015-01-01

    The Google Online Marketing Challenge (GOMC) is a global, online student competition sponsored by Google. It is a prime example of an experiential learning activity that includes using real money ($250 sponsored by Google) with a real client. The GOMC has yielded compelling results in student engagement and learning objectives related to the…

  9. Decomposition of the Google PageRank and Optimal Linking Strategy

    NARCIS (Netherlands)

    Avrachenkov, Konstatin; Litvak, Nelli

    We provide the analysis of the Google PageRank from the perspective of the Markov Chain Theory. First we study the Google PageRank for a Web that can be decomposed into several connected components which do not have any links to each other. We show that in order to determine the Google PageRank for

  10. Hedging the Commons: Google Books, Libraries, and Open Access to Knowledge

    Science.gov (United States)

    Bottando, Evelyn

    2012-01-01

    This dissertation analyzes the legal, social, technological, and cultural environment that gave rise to Google's library partnership program in order to propose an institutional corrective to Google's project to digitize cultural heritage. Interview research done with those actively involved with Google's project revealed the need for a history of…

  11. 76 FR 18762 - Google, Inc.; Analysis of Proposed Consent Order To Aid Public Comment

    Science.gov (United States)

    2011-04-05

    ... FEDERAL TRADE COMMISSION [File No. 102 3136] Google, Inc.; Analysis of Proposed Consent Order To... paper form. Comments should refer to ``Google, File No. 102 3136'' to facilitate the organization of... paper form should include the ``Google, File No. 102 3136'' reference both in the text and on the...

  12. Google Docs in an Out-of-Class Collaborative Writing Activity

    Science.gov (United States)

    Zhou, Wenyi; Simpson, Elizabeth; Domizi, Denise Pinette

    2012-01-01

    Google Docs, an online word processing application, is a promising tool for collaborative learning. However, many college instructors and students lack knowledge to effectively use Google Docs to enhance teaching and learning. Goals of this study include (1) assessing the effectiveness of using Google Docs in an out-of-class collaborative writing…

  13. Information We Collect: Surveillance and Privacy in the Implementation of Google Apps for Education

    Science.gov (United States)

    Lindh, Maria; Nolin, Jan

    2016-01-01

    The aim of this study is to show how Google's business model is concealed within Google Apps for Education (GAFE) as well as how such a bundle is perceived within one educational organisation, consisting of approximately 30 schools. The study consists of two parts: 1) a rhetorical analysis of Google policy documents and 2) an interview study in a…

  14. Personal health records: retrieving contextual information with Google Custom Search.

    Science.gov (United States)

    Ahsan, Mahmud; Seldon, H Lee; Sayeed, Shohel

    2012-01-01

    Ubiquitous personal health records, which can accompany a person everywhere, are a necessary requirement for ubiquitous healthcare. Contextual information related to health events is important for the diagnosis and treatment of disease and for the maintenance of good health, yet it is seldom recorded in a health record. We describe a dual cellphone-and-Web-based personal health record system which can include 'external' contextual information. Much contextual information is available on the Internet and we can use ontologies to help identify relevant sites and information. But a search engine is required to retrieve information from the Web and developing a customized search engine is beyond our scope, so we can use Google Custom Search API Web service to get contextual data. In this paper we describe a framework which combines a health-and-environment 'knowledge base' or ontology with the Google Custom Search API to retrieve relevant contextual information related to entries in a ubiquitous personal health record.

  15. A Google Trends-based approach for monitoring NSSI.

    Science.gov (United States)

    Bragazzi, Nicola Luigi

    2013-01-01

    Non-suicidal self-injury (NSSI) is an intentional, direct, and socially unacceptable behavior resulting in the destruction of one's own body tissues with no intention of dying or committing suicide, even though it is associated with a higher risk of attempted, planned, or just considered suicide. In this preliminary report, we introduce the concept of "NSSI 2.0"; that is to say, the study of the Internet usage by subjects with NSSI, and we introduce a Google Trends-based approach for monitoring NSSI, called NSSI infodemiology and infoveillance. Despite some limitations, Google Trends has already proven to be reliable for infectious diseases monitoring, and here we extend its application and potentiality in the field of suicidology. Ad hoc web portals and surveys could be designed in light of the reported results for helping people with NSSI.

  16. Digital book architecture on google platform: an exploratory study

    Directory of Open Access Journals (Sweden)

    Stella Moreira Dourado

    2012-08-01

    Full Text Available This paper analyses the architecture of the digital book using indicators applied to the evaluation of the printed book and indicators applied to evaluate the performance of digital artifacts. Publishers of digital books seem interested in preserving the characteristics of the printed book in the electronic environment, adopting standards that attempt to “soften” the transition to digital media. The comparative analysis of Google Books platform was conducted using a synoptic table containing the features likely to compare between the digital and the printed book. The authors have concluded that the digital books on Google Books platform add little value to the characteristics of the printed book, subtracting from them, at the same time, some of their distinguishing features, such as portability.

  17. Google matrix of the world network of economic activities

    Science.gov (United States)

    Kandiah, Vivek; Escaith, Hubert; Shepelyansky, Dima L.

    2015-07-01

    Using the new data from the OECD-WTO world network of economic activities we construct the Google matrix G of this directed network and perform its detailed analysis. The network contains 58 countries and 37 activity sectors for years 1995 and 2008. The construction of G, based on Markov chain transitions, treats all countries on equal democratic grounds while the contribution of activity sectors is proportional to their exchange monetary volume. The Google matrix analysis allows to obtain reliable ranking of countries and activity sectors and to determine the sensitivity of CheiRank-PageRank commercial balance of countries in respect to price variations and labor cost in various countries. We demonstrate that the developed approach takes into account multiplicity of network links with economy interactions between countries and activity sectors thus being more efficient compared to the usual export-import analysis. The spectrum and eigenstates of G are also analyzed being related to specific activity communities of countries.

  18. Google searches and financial markets: IPOs and uncertainty

    OpenAIRE

    Vakrman, Tomáš

    2014-01-01

    This thesis studies how the investor attention proxied by Google search volume affects different aspects of market behavior. My results show that a surge in online attention is associated with an increase in trading activity and stock price volatility, but no effect is detected for daily returns. Yet, if market sentiment is taken into account, the relationship comes to the surface for returns as well. The returns tend to decrease with attention hikes in negative sentiment periods and the oppo...

  19. Android App Store (Google Play) Mining and Analysis

    OpenAIRE

    MOHAMMAD TAFIQUR, RAHMAN

    2013-01-01

    The aim of mining and analysis of Apps in Google Play, the largest Android app store, is to provide in-depth insight on the hidden properties of the repository to app developers or app market contributors. This approach can help them to view the current circumstances of the market and make valuable decisions before releasing products. To perform this analysis, all available features (descriptions of the app, app developer information, app version, updating date, category, number of download, ...

  20. RELATIONSHIP BETWEEN SERVICE QUALITY, SATISFACTION, AND LOYALTY OF GOOGLE USERS

    OpenAIRE

    Amran Rasli; Huam Hon Tat; Mohd Shoki Md Arif; Lee Soon Liong; Ahmad Jusoh

    2011-01-01

    The purpose of this research is to determine the relationship between perceived electronic service quality (e-SQ), electronic satisfaction (e-satisfaction) and electronic loyalty (e-loyalty) in the usage of the Google search engine. The modification of E-SERVQUAL (efficiency, fulfilment, and reliability) and two additional two dimensions (assurance and site aesthetics) were constructed to measure perceived e-SQ. The measurement of e-satisfaction was based on Schaupp and Bélanger’s study, and ...

  1. About the size of Google Scholar: playing the numbers

    OpenAIRE

    Orduña-Malea, Enrique; Ayllón, Juan Manuel; Martín-Martín, Alberto; López-Cózar, Emilio Delgado

    2014-01-01

    The emergence of academic search engines (Google Scholar and Microsoft Academic Search essentially) has revived and increased the interest in the size of the academic web, since their aspiration is to index the entirety of current academic knowledge. The search engine functionality and human search patterns lead us to believe, sometimes, that what you see in the search engine's results page is all that really exists. And, even when this is not true, we wonder which information is missing and ...

  2. Spectral properties of Google matrix of Wikipedia and other networks

    Science.gov (United States)

    Ermann, Leonardo; Frahm, Klaus M.; Shepelyansky, Dima L.

    2013-05-01

    We study the properties of eigenvalues and eigenvectors of the Google matrix of the Wikipedia articles hyperlink network and other real networks. With the help of the Arnoldi method, we analyze the distribution of eigenvalues in the complex plane and show that eigenstates with significant eigenvalue modulus are located on well defined network communities. We also show that the correlator between PageRank and CheiRank vectors distinguishes different organizations of information flow on BBC and Le Monde web sites.

  3. SenseGlass: using google glass to sense daily emotions

    OpenAIRE

    Picard, Rosalind W.; Hernandez Rivera, Javier

    2014-01-01

    For over a century, scientists have studied human emotions in laboratory settings. However, these emotions have been largely contrived -- elicited by movies or fake "lab" stimuli, which tend not to matter to the participants in the studies, at least not compared with events in their real life. This work explores the utility of Google Glass, a head-mounted wearable device, to enable fundamental advances in the creation of affect-based user interfaces in natural settings.

  4. Googling your hand hygiene data: Using Google Forms, Google Sheets, and R to collect and automate analysis of hand hygiene compliance monitoring.

    Science.gov (United States)

    Wiemken, Timothy L; Furmanek, Stephen P; Mattingly, William A; Haas, Janet; Ramirez, Julio A; Carrico, Ruth M

    2018-02-26

    Hand hygiene is one of the most important interventions in the quest to eliminate healthcare-associated infections, and rates in healthcare facilities are markedly low. Since hand hygiene observation and feedback are critical to improve adherence, we created an easy-to-use, platform-independent hand hygiene data collection process and an automated, on-demand reporting engine. A 3-step approach was used for this project: 1) creation of a data collection form using Google Forms, 2) transfer of data from the form to a spreadsheet using Google Spreadsheets, and 3) creation of an automated, cloud-based analytics platform for report generation using R and RStudio Shiny software. A video tutorial of all steps in the creation and use of this free tool can be found on our YouTube channel: https://www.youtube.com/watch?v=uFatMR1rXqU&t. The on-demand reporting tool can be accessed at: https://crsp.louisville.edu/shiny/handhygiene. This data collection and automated analytics engine provides an easy-to-use environment for evaluating hand hygiene data; it also provides rapid feedback to healthcare workers. By reducing some of the data management workload required of the infection preventionist, more focused interventions may be instituted to increase global hand hygiene rates and reduce infection. Copyright © 2018 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

  5. Association between Stock Market Gains and Losses and Google Searches.

    Science.gov (United States)

    Arditi, Eli; Yechiam, Eldad; Zahavi, Gal

    2015-01-01

    Experimental studies in the area of Psychology and Behavioral Economics have suggested that people change their search pattern in response to positive and negative events. Using Internet search data provided by Google, we investigated the relationship between stock-specific events and related Google searches. We studied daily data from 13 stocks from the Dow-Jones and NASDAQ100 indices, over a period of 4 trading years. Focusing on periods in which stocks were extensively searched (Intensive Search Periods), we found a correlation between the magnitude of stock returns at the beginning of the period and the volume, peak, and duration of search generated during the period. This relation between magnitudes of stock returns and subsequent searches was considerably magnified in periods following negative stock returns. Yet, we did not find that intensive search periods following losses were associated with more Google searches than periods following gains. Thus, rather than increasing search, losses improved the fit between people's search behavior and the extent of real-world events triggering the search. The findings demonstrate the robustness of the attentional effect of losses.

  6. Between the Sheets: a Library-wide Inventory with Google

    Directory of Open Access Journals (Sweden)

    Craig Boman

    2017-10-01

    Full Text Available When it comes to taking an inventory of physical items, libraries often rely on their traditional integrated library system’s (ILS à la carte add ons; outside vendors; or other possibly outdated, complex, and often expensive methods. For libraries with shrinking budgets and other limited resources, high costs can put these methods out of reach. At the University of Dayton Libraries, we set out to develop an inexpensive and reasonably easy-to-use method for conducting a library-wide physical item inventory. In this article, we explain a custom built Google Sheets-based library inventory system, along with some code for the implementation of a RESTful API (written in PHP that interacts with our ILS. We will also explain our use of Google Apps scripts in our Google Sheet, which are crucial to our systems. Although this method used a specific ILS (Innovative Interfaces' Sierra product and custom-built RESTful APIs, it may be possible to use similar approaches with other ILS software. Additional notes include areas for improvement and recommendations for interoperability with other ILS systems.

  7. Google classroom as a tool for active learning

    Science.gov (United States)

    Shaharanee, Izwan Nizal Mohd; Jamil, Jastini Mohd; Rodzi, Sarah Syamimi Mohamad

    2016-08-01

    As the world is being developed with the new technologies, discovering and manipulating new ideas and concepts of online education are changing rapidly. In response to these changes, many states, institutions, and organizations have been working on strategic plans to implement online education. At the same time, misconceptions and myths related to the difficulty of teaching and learning online, technologies available to support online instruction, the support and compensation needed for high-quality instructors, and the needs of online students create challenges for such vision statements and planning documents. This paper provides analysis and evaluation of the effectiveness of Google Classroom's active learning activities for data mining subject under the Decision Sciences program. Technology Acceptance Model (TAM) has been employed to measure the effectiveness of the learning activities. A total of 100 valid unduplicated responses from students who enrolled data mining subject were used in this study. The results indicated that majority of the students satisfy with the Google Classroom's tool that were introduced in the class. Results of data analyzed showed that all ratios are above averages. In particular, comparative performance is good in the areas of ease of access, perceived usefulness, communication and interaction, instruction delivery and students' satisfaction towards the Google Classroom's active learning activities.

  8. Association between Stock Market Gains and Losses and Google Searches.

    Directory of Open Access Journals (Sweden)

    Eli Arditi

    Full Text Available Experimental studies in the area of Psychology and Behavioral Economics have suggested that people change their search pattern in response to positive and negative events. Using Internet search data provided by Google, we investigated the relationship between stock-specific events and related Google searches. We studied daily data from 13 stocks from the Dow-Jones and NASDAQ100 indices, over a period of 4 trading years. Focusing on periods in which stocks were extensively searched (Intensive Search Periods, we found a correlation between the magnitude of stock returns at the beginning of the period and the volume, peak, and duration of search generated during the period. This relation between magnitudes of stock returns and subsequent searches was considerably magnified in periods following negative stock returns. Yet, we did not find that intensive search periods following losses were associated with more Google searches than periods following gains. Thus, rather than increasing search, losses improved the fit between people's search behavior and the extent of real-world events triggering the search. The findings demonstrate the robustness of the attentional effect of losses.

  9. Survey of formal and informal citation in Google search engine

    Directory of Open Access Journals (Sweden)

    Afsaneh Teymourikhani

    2016-03-01

    Full Text Available Aim: Informal citations is bibliographic information (title or Internet address, citing sources of information resources for informal scholarly communication and always neglected in traditional citation databases. This study is done, in order to answer the question of whether informal citations in the web environment are traceable. The present research aims to determine what proportion of web citations of Google search engine is related to formal and informal citation. Research method: Webometrics is the method used. The study is done on 1344 research articles of 98 open access journal, and the method that is used to extract the web citation from Google search engine is “Web / URL citation extraction". Findings: The findings showed that ten percent of the web citations of Google search engine are formal and informal citations. The highest formal citation in the Google search engine with 19/27% is in the field of library and information science and the lowest official citation by 1/54% is devoted to the field of civil engineering. The highest percentage of informal citations with 3/57% is devoted to sociology and the lowest percentage of informal citations by 0/39% is devoted to the field of civil engineering. Journal Citation is highest with 94/12% in the surgical field and lowest with 5/26 percent in the philosophy filed. Result: Due to formal and informal citations in the Google search engine which is about 10 percent and the reduction of this amount compared to previous research, it seems that track citations by this engine should be treated with more caution. We see that the amount of formal citation is variable in different disciplines. Cited journals in the field of surgery, is highest and in the filed of philosophy is lowest, this indicates that in the filed of philosophy, that is a subset of the social sciences, journals in scientific communication do not play a significant role. On the other hand, book has a key role in this filed

  10. An Evaluation of Google Glass : Design, Implementation and Evaluation of a Product Assembly Application for Google Glass and Smartphones

    OpenAIRE

    Häger, Johan

    2015-01-01

    Assembling components in a production line could potentially be a tedious task, if performed stepwise by the book. However, an employee who is assembling many different products may not know all the steps by heart. As such they will be reliant on an instruction manual. However, an instruction manual must be carried around and, while assembling components, placed in the assembler's line of sight. Instead new technology could make the process more efficient. Google Glass places a display slight...

  11. Googling in anatomy education: Can google trends inform educators of national online search patterns of anatomical syllabi?

    Science.gov (United States)

    Phelan, Nigel; Davy, Shane; O'Keeffe, Gerard W; Barry, Denis S

    2017-03-01

    The role of e-learning platforms in anatomy education continues to expand as self-directed learning is promoted in higher education. Although a wide range of e-learning resources are available, determining student use of non-academic internet resources requires novel approaches. One such approach that may be useful is the Google Trends © web application. To determine the feasibility of Google Trends to gain insights into anatomy-related online searches, Google Trends data from the United States from January 2010 to December 2015 were analyzed. Data collected were based on the recurrence of keywords related to head and neck anatomy generated from the American Association of Clinical Anatomists and the Anatomical Society suggested anatomy syllabi. Relative search volume (RSV) data were analyzed for seasonal periodicity and their overall temporal trends. Following exclusions due to insufficient search volume data, 29 out of 36 search terms were analyzed. Significant seasonal patterns occurred in 23 search terms. Thirty-nine seasonal peaks were identified, mainly in October and April, coinciding with teaching periods in anatomy curricula. A positive correlation of RSV with time over the 6-year study period occurred in 25 out of 29 search terms. These data demonstrate how Google Trends may offer insights into the nature and timing of online search patterns of anatomical syllabi and may potentially inform the development and timing of targeted online supports to ensure that students of anatomy have the opportunity to engage with online content that is both accurate and fit for purpose. Anat Sci Educ 10: 152-159. © 2016 American Association of Anatomists. © 2016 American Association of Anatomists.

  12. RAČUNALNIŠTVO V OBLAKU IN PRIMERI PRESKUSOV GOOGLE APPS. V OSNOVNI ŠOLI

    OpenAIRE

    Krapež, Domen

    2013-01-01

    Diplomska naloga obravnava računalništvo v oblaku in primere preskusov Google Apps v osnovni šoli na konkretnih primerih. Za potrebe naloge so podrobno opisane storitve, Gmail, Google Calendar, Google Docs ter Google Drive. V eksperimentalnem delu naloge je bila izvedena analiza uporabe Google Apps pred in po uporabi aplikacije v osnovni šoli. Rezultati vprašalnika so pokazali, da je pot do uspešne integracije novih tehnologij še dolga ter da mora izobraževanje kadrov potekati postopoma. R...

  13. FluBreaks: early epidemic detection from Google flu trends.

    Science.gov (United States)

    Pervaiz, Fahad; Pervaiz, Mansoor; Abdur Rehman, Nabeel; Saif, Umar

    2012-10-04

    The Google Flu Trends service was launched in 2008 to track changes in the volume of online search queries related to flu-like symptoms. Over the last few years, the trend data produced by this service has shown a consistent relationship with the actual number of flu reports collected by the US Centers for Disease Control and Prevention (CDC), often identifying increases in flu cases weeks in advance of CDC records. However, contrary to popular belief, Google Flu Trends is not an early epidemic detection system. Instead, it is designed as a baseline indicator of the trend, or changes, in the number of disease cases. To evaluate whether these trends can be used as a basis for an early warning system for epidemics. We present the first detailed algorithmic analysis of how Google Flu Trends can be used as a basis for building a fully automated system for early warning of epidemics in advance of methods used by the CDC. Based on our work, we present a novel early epidemic detection system, called FluBreaks (dritte.org/flubreaks), based on Google Flu Trends data. We compared the accuracy and practicality of three types of algorithms: normal distribution algorithms, Poisson distribution algorithms, and negative binomial distribution algorithms. We explored the relative merits of these methods, and related our findings to changes in Internet penetration and population size for the regions in Google Flu Trends providing data. Across our performance metrics of percentage true-positives (RTP), percentage false-positives (RFP), percentage overlap (OT), and percentage early alarms (EA), Poisson- and negative binomial-based algorithms performed better in all except RFP. Poisson-based algorithms had average values of 99%, 28%, 71%, and 76% for RTP, RFP, OT, and EA, respectively, whereas negative binomial-based algorithms had average values of 97.8%, 17.8%, 60%, and 55% for RTP, RFP, OT, and EA, respectively. Moreover, the EA was also affected by the region's population size

  14. Rare earths

    International Nuclear Information System (INIS)

    Cranstone, D.A.

    1980-01-01

    There has been no Canadian production of the rare earth oxides since 1977. World production in 1978, the last year for which figures are available, is estimated to have been about 41000 tonnes, mostly from Australia and the United States. The United States Bureau of Mines estimates that world reserves contain about 7 million tonnes of rare earth oxides and 35 million tonnes of yttrium. The largest yttrium reserves are in India, while China is believed to have the world's largest reserves of rare earth oxides. World consumption of rare aarths increased slightly in 1980, but is still only a small fraction of known reserves. Rare earths are used mainly in high-strength magnets, automobile exhaust systems, fluorescent tube and television screen phosphors, metallurgical applications, petroleum cracking catalysts, and glass polishing

  15. Earth Sciences

    International Nuclear Information System (INIS)

    Anon.

    1980-01-01

    The following papers were presented at the earth science session: earth science developments in support of water isolation; development of models and parameters for ground-water flow in fractured rock masses; isotope geochemistry as a tool for determining regional ground-water flow; natural analogs of radionuclide migration; nuclide retardation data: its use in the NWTS program; and ground-water geochemistry and interaction with basalt at Hanford

  16. Earth materials and earth dynamics

    Energy Technology Data Exchange (ETDEWEB)

    Bennett, K; Shankland, T. [and others

    2000-11-01

    In the project ''Earth Materials and Earth Dynamics'' we linked fundamental and exploratory, experimental, theoretical, and computational research programs to shed light on the current and past states of the dynamic Earth. Our objective was to combine different geological, geochemical, geophysical, and materials science analyses with numerical techniques to illuminate active processes in the Earth. These processes include fluid-rock interactions that form and modify the lithosphere, non-linear wave attenuations in rocks that drive plate tectonics and perturb the earth's surface, dynamic recrystallization of olivine that deforms the upper mantle, development of texture in high-pressure olivine polymorphs that create anisotropic velocity regions in the convecting upper mantle and transition zone, and the intense chemical reactions between the mantle and core. We measured physical properties such as texture and nonlinear elasticity, equation of states at simultaneous pressures and temperatures, magnetic spins and bonding, chemical permeability, and thermal-chemical feedback to better characterize earth materials. We artificially generated seismic waves, numerically modeled fluid flow and transport in rock systems and modified polycrystal plasticity theory to interpret measured physical properties and integrate them into our understanding of the Earth. This is the final report of a three-year, Laboratory-Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL).

  17. Space Situational Awareness Data Processing Scalability Utilizing Google Cloud Services

    Science.gov (United States)

    Greenly, D.; Duncan, M.; Wysack, J.; Flores, F.

    Space Situational Awareness (SSA) is a fundamental and critical component of current space operations. The term SSA encompasses the awareness, understanding and predictability of all objects in space. As the population of orbital space objects and debris increases, the number of collision avoidance maneuvers grows and prompts the need for accurate and timely process measures. The SSA mission continually evolves to near real-time assessment and analysis demanding the need for higher processing capabilities. By conventional methods, meeting these demands requires the integration of new hardware to keep pace with the growing complexity of maneuver planning algorithms. SpaceNav has implemented a highly scalable architecture that will track satellites and debris by utilizing powerful virtual machines on the Google Cloud Platform. SpaceNav algorithms for processing CDMs outpace conventional means. A robust processing environment for tracking data, collision avoidance maneuvers and various other aspects of SSA can be created and deleted on demand. Migrating SpaceNav tools and algorithms into the Google Cloud Platform will be discussed and the trials and tribulations involved. Information will be shared on how and why certain cloud products were used as well as integration techniques that were implemented. Key items to be presented are: 1.Scientific algorithms and SpaceNav tools integrated into a scalable architecture a) Maneuver Planning b) Parallel Processing c) Monte Carlo Simulations d) Optimization Algorithms e) SW Application Development/Integration into the Google Cloud Platform 2. Compute Engine Processing a) Application Engine Automated Processing b) Performance testing and Performance Scalability c) Cloud MySQL databases and Database Scalability d) Cloud Data Storage e) Redundancy and Availability

  18. Infodemiology of systemic lupus erythematous using Google Trends.

    Science.gov (United States)

    Radin, M; Sciascia, S

    2017-07-01

    Objective People affected by chronic rheumatic conditions, such as systemic lupus erythematosus (SLE), frequently rely on the Internet and search engines to look for terms related to their disease and its possible causes, symptoms and treatments. 'Infodemiology' and 'infoveillance' are two recent terms created to describe a new developing approach for public health, based on Big Data monitoring and data mining. In this study, we aim to investigate trends of Internet research linked to SLE and symptoms associated with the disease, applying a Big Data monitoring approach. Methods We analysed the large amount of data generated by Google Trends, considering 'lupus', 'relapse' and 'fatigue' in a 10-year web-based research. Google Trends automatically normalized data for the overall number of searches, and presented them as relative search volumes, in order to compare variations of different search terms across regions and periods. The Menn-Kendall test was used to evaluate the overall seasonal trend of each search term and possible correlation between search terms. Results We observed a seasonality for Google search volumes for lupus-related terms. In the Northern hemisphere, relative search volumes for 'lupus' were correlated with 'relapse' (τ = 0.85; p = 0.019) and with fatigue (τ = 0.82; p = 0.003), whereas in the Southern hemisphere we observed a significant correlation between 'fatigue' and 'relapse' (τ = 0.85; p = 0.018). Similarly, a significant correlation between 'fatigue' and 'relapse' (τ = 0.70; p < 0.001) was seen also in the Northern hemisphere. Conclusion Despite the intrinsic limitations of this approach, Internet-acquired data might represent a real-time surveillance tool and an alert for healthcare systems in order to plan the most appropriate resources in specific moments with higher disease burden.

  19. Quantifying Trading Behavior in Financial Markets Using Google Trends

    Science.gov (United States)

    Preis, Tobias; Moat, Helen Susannah; Stanley, H. Eugene

    2013-04-01

    Crises in financial markets affect humans worldwide. Detailed market data on trading decisions reflect some of the complex human behavior that has led to these crises. We suggest that massive new data sources resulting from human interaction with the Internet may offer a new perspective on the behavior of market participants in periods of large market movements. By analyzing changes in Google query volumes for search terms related to finance, we find patterns that may be interpreted as ``early warning signs'' of stock market moves. Our results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior.

  20. COLWRIT – Collaborative Online Writing in Google Docs

    DEFF Research Database (Denmark)

    Andreasen, Lars Birch; Winther, Frederikke; Hanghøj, Thorkild

    2014-01-01

    Various online collaborative writing tools have emerged giving students new opportunities when co-producing texts. The aim of this work-in-progress paper is to present the preliminary hypotheses and findings of an on-going research project at Aalborg University, Denmark, which explores university...... students’ uses of collaborative writing tools like Google Docs when doing collaborative project work. The research project has a special focus on the various effects on the collaboration process of students’ various usage of the commenting functions of online writing tools....

  1. Forecasting German Car Sales Using Google Data and Multivariate Models

    OpenAIRE

    Fantazzini, Dean; Toktamysova, Zhamal

    2015-01-01

    Long-term forecasts are of key importance for the car industry due to the lengthy period of time required for the development and production processes. With this in mind, this paper proposes new multivariate models to forecast monthly car sales data using economic variables and Google online search data. An out-of-sample forecasting comparison with forecast horizons up to 2 years ahead was implemented using the monthly sales of ten car brands in Germany for the period from 2001M1 to 2014M6. M...

  2. Quantifying trading behavior in financial markets using Google Trends.

    Science.gov (United States)

    Preis, Tobias; Moat, Helen Susannah; Stanley, H Eugene

    2013-01-01

    Crises in financial markets affect humans worldwide. Detailed market data on trading decisions reflect some of the complex human behavior that has led to these crises. We suggest that massive new data sources resulting from human interaction with the Internet may offer a new perspective on the behavior of market participants in periods of large market movements. By analyzing changes in Google query volumes for search terms related to finance, we find patterns that may be interpreted as "early warning signs" of stock market moves. Our results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior.

  3. Google matrix analysis of C.elegans neural network

    Energy Technology Data Exchange (ETDEWEB)

    Kandiah, V., E-mail: kandiah@irsamc.ups-tlse.fr; Shepelyansky, D.L., E-mail: dima@irsamc.ups-tlse.fr

    2014-05-01

    We study the structural properties of the neural network of the C.elegans (worm) from a directed graph point of view. The Google matrix analysis is used to characterize the neuron connectivity structure and node classifications are discussed and compared with physiological properties of the cells. Our results are obtained by a proper definition of neural directed network and subsequent eigenvector analysis which recovers some results of previous studies. Our analysis highlights particular sets of important neurons constituting the core of the neural system. The applications of PageRank, CheiRank and ImpactRank to characterization of interdependency of neurons are discussed.

  4. Google's pagerank and beyond the science of search engine rankings

    CERN Document Server

    Langville, Amy N

    2006-01-01

    Why doesn't your home page appear on the first page of search results, even when you query your own name? How do other Web pages always appear at the top? What creates these powerful rankings? And how? The first book ever about the science of Web page rankings, Google's PageRank and Beyond supplies the answers to these and other questions and more. The book serves two very different audiences: the curious science reader and the technical computational reader. The chapters build in mathematical sophistication, so that the first five are accessible to the general academic reader. While other cha

  5. Quantifying the Search Behaviour of Different Demographics Using Google Correlate

    Science.gov (United States)

    Letchford, Adrian; Preis, Tobias; Moat, Helen Susannah

    2016-01-01

    Vast records of our everyday interests and concerns are being generated by our frequent interactions with the Internet. Here, we investigate how the searches of Google users vary across U.S. states with different birth rates and infant mortality rates. We find that users in states with higher birth rates search for more information about pregnancy, while those in states with lower birth rates search for more information about cats. Similarly, we find that users in states with higher infant mortality rates search for more information about credit, loans and diseases. Our results provide evidence that Internet search data could offer new insight into the concerns of different demographics. PMID:26910464

  6. Google matrix analysis of C.elegans neural network

    International Nuclear Information System (INIS)

    Kandiah, V.; Shepelyansky, D.L.

    2014-01-01

    We study the structural properties of the neural network of the C.elegans (worm) from a directed graph point of view. The Google matrix analysis is used to characterize the neuron connectivity structure and node classifications are discussed and compared with physiological properties of the cells. Our results are obtained by a proper definition of neural directed network and subsequent eigenvector analysis which recovers some results of previous studies. Our analysis highlights particular sets of important neurons constituting the core of the neural system. The applications of PageRank, CheiRank and ImpactRank to characterization of interdependency of neurons are discussed.

  7. USING THE GOOGLE APP ENGINE PLATFORM FOR TEACHING PROGRAMMING

    Directory of Open Access Journals (Sweden)

    Mariusz Dzieńkowski

    2012-12-01

    Full Text Available The article outlines the present situation connected with teaching programming to students of different levels of education in Polish schools. The observed negative trend towards marginalization of programming can be successfully reversed in education thanks to using the latest IT achievements such as cloud computing (CC. The paper presents ways in which the cloud computing technology can be used to teach how to develop and code Internet applications by means of the Google App Engine platform. The final part focuses on practical examples of programming problems involving cloud computing applications which may be solved in IT classes with students of different levels of education.

  8. Retrieval and impact of scientific production in google era: a comparative analysis between google scholar and web of science

    Directory of Open Access Journals (Sweden)

    Rogério Mugnaini

    2008-04-01

    Full Text Available The changes caused by the development of the information technologies, with respect to the visibility of scientific publications and to the production of impact indicators are discussed. Questions related to the use of citation data and the ISI-Thomsom Scientific Impact Factor are first considered and next the resources offered by Google Scholar to measure the relevance of the scientific works are analysed. It concludes with considerations on the importance of the studies on the application of bibliometric and webometric indicators for analysis of scientific production as form of stablishing an evaluation system adapted to diverse contexts.

  9. Google Docs: an experience in collaborative work in the University

    Directory of Open Access Journals (Sweden)

    Vanesa DELGADO BENITO

    2013-01-01

    Full Text Available The educational environment contains multiple reasons to make use of the new possibilities that Information and Communication Technologies (ICT as an educational resource offer. The educational experience presented here has been realized in the subject of New Technologies applied to Education, which forms part of the study plans for primary school teachers in the University of Burgos (UBU, and which has as its main goal to facilitate the acquisition of generic competences of ICT to work online. To reach this proposed goal, we have cultivated active learning of the students, from individual to collective learning. At first, they were given a text to work individually, to read and review. After that, groups were created to work on the document cooperatively, online, through the use of the office tool Google Docs. After sharing and editing the document, every group made a multimedia presentation in which all of their contributions are bundled. Finally, all of the presentations made by every one of the groups were made public. When the practical part of the course was done, the students answered a short questionnaire in which they were asked about their initial knowledge, and the level of dominion and didactic usefulness of the tool Google Docs. It is worth noting that 75% of the class did not know the application before the course and that, after using it, 92% say they would use it in the educational and professional future. This educational experience has been very satisfactory for students and professors alike.

  10. Google Trends can improve surveillance of Type 2 diabetes.

    Science.gov (United States)

    Tkachenko, Nataliya; Chotvijit, Sarunkorn; Gupta, Neha; Bradley, Emma; Gilks, Charlotte; Guo, Weisi; Crosby, Henry; Shore, Eliot; Thiarai, Malkiat; Procter, Rob; Jarvis, Stephen

    2017-07-10

    Recent studies demonstrate that people are increasingly looking online to assess their health, with reasons varying from personal preferences and beliefs to inability to book a timely appointment with their local medical practice. Records of these activities represent a new source of data about the health of populations, but which is currently unaccounted for by disease surveillance models. This could potentially be useful as evidence of individuals' perception of bodily changes and self-diagnosis of early symptoms of an emerging disease. We make use of the Experian geodemographic Mosaic dataset in order to extract Type 2 diabetes candidate risk variables and compare their temporal relationships with the search keywords, used to describe early symptoms of the disease on Google. Our results demonstrate that Google Trends can detect early signs of diabetes by monitoring combinations of keywords, associated with searches for hypertension treatment and poor living conditions; Combined search semantics, related to obesity, how to quit smoking and improve living conditions (deprivation) can be also employed, however, may lead to less accurate results.

  11. [Trends in Google searches on complementary and alternative medicine].

    Science.gov (United States)

    Zevallos-Morales, Alejandro; Málaga, Marco; Taype-Rondan, Alvaro

    2017-01-01

    The aim of this article is to evaluate the interest in complementary and alternative medicine (CAM) therapies using Google Trends in spanish-speaking countries. An observational study was conducted using GoogleTrends. The search volume of 34 CAM therapies in spanish were evaluated globally and in 21 spanish-speaking countries. Also, the relationship between the median of the most popular searches and the gross domestic product (GDP) per capita in each of the countries was evaluated using Spearman's test. A decreased trend in search volume was observed in homeopathy, herbal medicine, acupunctureand sensory therapies; and an increasing trend in chiropraxy. A direct association was observed between the GDP per capita and the median between the most popular CAM therapies, this relationship was no significant (p = 0.432). The interest in CAM therapies shows temporal and geographic variations that must be studied in depth. These results can be used for the establishment of an international monitoring for the use of CAM therapies.

  12. Google Hangouts: Leveraging Social Media to Reach the Education Community

    Science.gov (United States)

    Eisenhamer, Bonnie; Summers, Frank; McCallister, Dan; Ryer, Holly

    2015-01-01

    Research shows that educator professional development is most effective when it is sustained and/or when a follow-on component is included to support the learning process. In order to create more comprehensive learning experiences for our workshop participants, the education team at the Space Telescope Science Institute is working collaboratively with scientific staff and other experts to create a follow-on component for our professional development program. The new component utilizes video conferencing platforms, such as Google's Hangouts On Air, to provide educators with content updates and extended learning opportunities in between in-person professional development experiences. The goal is to enhance our professional development program in a cost-effective way while reaching a greater cross-section of educators. Video broadcasts go live on Google+, YouTube, and our website - thus providing access to any user with a web browser. Additionally, the broadcasts are automatically recorded and archived for future viewing on our YouTube channel. This provides educators with anywhere, anytime training that best suits their needs and schedules. This poster will highlight our new Hangouts for educators as well as our cross-departmental efforts to expand the reach of our Hubble Hangouts for the public through a targeted recruitment strategy.

  13. A Google Trends-based approach for monitoring NSSI

    Directory of Open Access Journals (Sweden)

    Bragazzi NL

    2013-12-01

    Full Text Available Nicola Luigi Bragazzi DINOGMI, Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy Abstract: Non-suicidal self-injury (NSSI is an intentional, direct, and socially unacceptable behavior resulting in the destruction of one's own body tissues with no intention of dying or committing suicide, even though it is associated with a higher risk of attempted, planned, or just considered suicide. In this preliminary report, we introduce the concept of “NSSI 2.0”; that is to say, the study of the Internet usage by subjects with NSSI, and we introduce a Google Trends-based approach for monitoring NSSI, called NSSI infodemiology and infoveillance. Despite some limitations, Google Trends has already proven to be reliable for infectious diseases monitoring, and here we extend its application and potentiality in the field of suicidology. Ad hoc web portals and surveys could be designed in light of the reported results for helping people with NSSI. Keywords: infodemiology, infoveillance, Internet, non-suicidal self-injury

  14. ATLAS & Google — "Data Ocean" R&D Project

    CERN Document Server

    The ATLAS collaboration

    2017-01-01

    ATLAS is facing several challenges with respect to their computing requirements for LHC Run-3 (2020-2023) and HL-LHC runs (2025-2034). The challenges are not specific for ATLAS or/and LHC, but common for HENP computing community. Most importantly, storage continues to be the driving cost factor and at the current growth rate cannot absorb the increased physics output of the experiment. Novel computing models with a more dynamic use of storage and computing resources need to be considered. This project aims to start an R&D project for evaluating and adopting novel IT technologies for HENP computing. ATLAS and Google plan to launch an R&D project to integrate Google cloud resources (Storage and Compute) to the ATLAS distributed computing environment. After a series of teleconferences, a face-to-face brainstorming meeting in Denver, CO at the Supercomputing 2017 conference resulted in this proposal for a first prototype of the "Data Ocean" project. The idea is threefold: (a) to allow ATLAS to explore the...

  15. Google, Facebook, the New Monopolies and Silicon Valley Ideologues

    Directory of Open Access Journals (Sweden)

    Enrico Pedemonte

    2016-07-01

    Full Text Available This article addresses the issues posed by the de facto monopolies created by digital platforms, focusing in particular on the cases of Google and Facebook. These two companies have assumed a dominant position in the fields of online research and of social networks. An analysis of their activity performed so far by the antitrust Authorities in the US and Europe shows the difficulty of dealing with these situations when applying methods which have traditionally been used to address questions of monopoly. The new element, compared to the past, is constituted by the huge data archives in possession of these companies: it’s the information on users to give Google and Facebook the ability to provide more competitive and customized services. Some scholars believe that it is necessary to regulate data collection, to redefine their property or even to oblige the dominant companies to share data with competitors. Others argue that “attention market” should be regulated, where a consumer’s attention is a scarce resource in the age of abundant information. However others believe that in the new world of the web and digital platforms the old categories of the economy are obsolete and monopolies are the natural and desirable outcome of the markets. The outcome of this battle will depend on the structure of economic power and the role of consumers in the near future. Video Extension Click on the thumbnail below for the video extension on YouTube.

  16. Google matrix analysis of the multiproduct world trade network

    Science.gov (United States)

    Ermann, Leonardo; Shepelyansky, Dima L.

    2015-04-01

    Using the United Nations COMTRADE database [United Nations Commodity Trade Statistics Database, available at: http://comtrade.un.org/db/. Accessed November (2014)] we construct the Google matrix G of multiproduct world trade between the UN countries and analyze the properties of trade flows on this network for years 1962-2010. This construction, based on Markov chains, treats all countries on equal democratic grounds independently of their richness and at the same time it considers the contributions of trade products proportionally to their trade volume. We consider the trade with 61 products for up to 227 countries. The obtained results show that the trade contribution of products is asymmetric: some of them are export oriented while others are import oriented even if the ranking by their trade volume is symmetric in respect to export and import after averaging over all world countries. The construction of the Google matrix allows to investigate the sensitivity of trade balance in respect to price variations of products, e.g. petroleum and gas, taking into account the world connectivity of trade links. The trade balance based on PageRank and CheiRank probabilities highlights the leading role of China and other BRICS countries in the world trade in recent years. We also show that the eigenstates of G with large eigenvalues select specific trade communities.

  17. Googling DNA sequences on the World Wide Web.

    Science.gov (United States)

    Hajibabaei, Mehrdad; Singer, Gregory A C

    2009-11-10

    New web-based technologies provide an excellent opportunity for sharing and accessing information and using web as a platform for interaction and collaboration. Although several specialized tools are available for analyzing DNA sequence information, conventional web-based tools have not been utilized for bioinformatics applications. We have developed a novel algorithm and implemented it for searching species-specific genomic sequences, DNA barcodes, by using popular web-based methods such as Google. We developed an alignment independent character based algorithm based on dividing a sequence library (DNA barcodes) and query sequence to words. The actual search is conducted by conventional search tools such as freely available Google Desktop Search. We implemented our algorithm in two exemplar packages. We developed pre and post-processing software to provide customized input and output services, respectively. Our analysis of all publicly available DNA barcode sequences shows a high accuracy as well as rapid results. Our method makes use of conventional web-based technologies for specialized genetic data. It provides a robust and efficient solution for sequence search on the web. The integration of our search method for large-scale sequence libraries such as DNA barcodes provides an excellent web-based tool for accessing this information and linking it to other available categories of information on the web.

  18. GIS Database and Google Map of the Population at Risk of Cholangiocarcinoma in Mueang Yang District, Nakhon Ratchasima Province of Thailand.

    Science.gov (United States)

    Kaewpitoon, Soraya J; Rujirakul, Ratana; Joosiri, Apinya; Jantakate, Sirinun; Sangkudloa, Amnat; Kaewthani, Sarochinee; Chimplee, Kanokporn; Khemplila, Kritsakorn; Kaewpitoon, Natthawut

    2016-01-01

    Cholangiocarcinoma (CCA) is a serious problem in Thailand, particularly in the northeastern and northern regions. Database of population at risk are need required for monitoring, surveillance, home health care, and home visit. Therefore, this study aimed to develop a geographic information system (GIS) database and Google map of the population at risk of CCA in Mueang Yang district, Nakhon Ratchasima province, northeastern Thailand during June to October 2015. Populations at risk were screened using the Korat CCA verbal screening test (KCVST). Software included Microsoft Excel, ArcGIS, and Google Maps. The secondary data included the point of villages, sub-district boundaries, district boundaries, point of hospital in Mueang Yang district, used for created the spatial databese. The populations at risk for CCA and opisthorchiasis were used to create an arttribute database. Data were tranfered to WGS84 UTM ZONE 48. After the conversion, all of the data were imported into Google Earth using online web pages www.earthpoint.us. Some 222 from a 4,800 population at risk for CCA constituted a high risk group. Geo-visual display available at following www.google.com/maps/d/u/0/ edit?mid=zPxtcHv_iDLo.kvPpxl5mAs90 and hl=th. Geo-visual display 5 layers including: layer 1, village location and number of the population at risk for CCA; layer 2, sub-district health promotion hospital in Mueang Yang district and number of opisthorchiasis; layer 3, sub-district district and the number of population at risk for CCA; layer 4, district hospital and the number of population at risk for CCA and number of opisthorchiasis; and layer 5, district and the number of population at risk for CCA and number of opisthorchiasis. This GIS database and Google map production process is suitable for further monitoring, surveillance, and home health care for CCA sufferers.

  19. Google speaks secrets of the world's greatest billionaire entrepreneurs, Sergey Brin and Larry Page

    CERN Document Server

    Lowe, Janet

    2009-01-01

    Praise for Google Speaks "It''s not hard to see that Google is a phenomenal company....At Geico, we pay these guys a whole lot of money for this and that key word."-Warren Buffett "Google rocks. It raised my perceived IQ by about 20 points."-Wes Boyd, President of Moveon.Org "Google is my rapid response research assistant. It''s the Swiss Army knife of information retrieval."-Lloyd Grove, columnist, Portfolio.com "Who''s afraid of Google? Everyone."-Wired magazine "Writers of the past had absinthe, whiskey or heroin. I have Google."-Michael Chabon, author of The Amazing Adventures of Kavalier and Clay

  20. Digital Earth - A sustainable Earth

    Science.gov (United States)

    Mahavir

    2014-02-01

    All life, particularly human, cannot be sustainable, unless complimented with shelter, poverty reduction, provision of basic infrastructure and services, equal opportunities and social justice. Yet, in the context of cities, it is believed that they can accommodate more and more people, endlessly, regardless to their carrying capacity and increasing ecological footprint. The 'inclusion', for bringing more and more people in the purview of development is often limited to social and economic inclusion rather than spatial and ecological inclusion. Economic investment decisions are also not always supported with spatial planning decisions. Most planning for a sustainable Earth, be at a level of rural settlement, city, region, national or Global, fail on the capacity and capability fronts. In India, for example, out of some 8,000 towns and cities, Master Plans exist for only about 1,800. A chapter on sustainability or environment is neither statutorily compulsory nor a norm for these Master Plans. Geospatial technologies including Remote Sensing, GIS, Indian National Spatial Data Infrastructure (NSDI), Indian National Urban Information Systems (NUIS), Indian Environmental Information System (ENVIS), and Indian National GIS (NGIS), etc. have potential to map, analyse, visualize and take sustainable developmental decisions based on participatory social, economic and social inclusion. Sustainable Earth, at all scales, is a logical and natural outcome of a digitally mapped, conceived and planned Earth. Digital Earth, in fact, itself offers a platform to dovetail the ecological, social and economic considerations in transforming it into a sustainable Earth.

  1. Searching for the picture: forecasting UK cinema admissions making use of Google Trends data

    OpenAIRE

    Hand, C.; Judge, Guy

    2012-01-01

    This article investigates whether Google Trends search information can improve forecasts of cinema admissions. Using monthly data for the United Kingdom for the period 1 January 2004 to 31 December 2008, we examine various forecasting models that incorporate Google Trends search information. We find clear evidence that Google Trends data on searches relevant to cinema visits (as opposed to searches for specific films) do have the potential to increase the accuracy of cinema admissions forecas...

  2. Real Time Filtering of Tweets Using Wikipedia Concepts and Google Tri-gram Semantic Relatedness

    Science.gov (United States)

    2015-11-20

    Real Time Filtering of Tweets Using Wikipedia Concepts and Google Tri-gram Semantic Relatedness Anh Dang1, Raheleh Makki1, Abidalrahman Moh’d1...group name “DALTREC”. Our proposed approach for this year’s filtering task is based on using Wikipedia and Google Trigram for calculating the semantic...lucene.apache.org/core/ Fig. 1: The framework of the proposed methods for the real-time filtering task. Semantic similary between two texts is computed using Google

  3. Google Trends terms reporting rhinitis and related topics differ in European countries

    DEFF Research Database (Denmark)

    Bousquet, J.; Agache, I; Anto, J M

    2017-01-01

    Google Trends (GT) searches trends of specific queries in Google and reflects the real-life epidemiology of allergic rhinitis. We compared Google Trends terms related to allergy and rhinitis in all European Union countries, Norway and Switzerland from 1 January 2011 to 20 December 2016. The aim...... was to assess whether the same terms could be used to report the seasonal variations of allergic diseases. Using the Google Trend 5-year graph, an annual and clear seasonality of queries was found in all countries apart from Cyprus, Estonia, Latvia, Lithuania and Malta. Different terms were found to demonstrate...

  4. Correlation between national influenza surveillance data and google trends in South Korea.

    Science.gov (United States)

    Cho, Sungjin; Sohn, Chang Hwan; Jo, Min Woo; Shin, Soo-Yong; Lee, Jae Ho; Ryoo, Seoung Mok; Kim, Won Young; Seo, Dong-Woo

    2013-01-01

    In South Korea, there is currently no syndromic surveillance system using internet search data, including Google Flu Trends. The purpose of this study was to investigate the correlation between national influenza surveillance data and Google Trends in South Korea. Our study was based on a publicly available search engine database, Google Trends, using 12 influenza-related queries, from September 9, 2007 to September 8, 2012. National surveillance data were obtained from the Korea Centers for Disease Control and Prevention (KCDC) influenza-like illness (ILI) and virologic surveillance system. Pearson's correlation coefficients were calculated to compare the national surveillance and the Google Trends data for the overall period and for 5 influenza seasons. The correlation coefficient between the KCDC ILI and virologic surveillance data was 0.72 (pGoogle Trends query of H1N1 and the ILI data, with a correlation coefficient of 0.53 (pGoogle Trends query of bird flu had the highest correlation with a correlation coefficient of 0.93 (pGoogle Trends for certain queries using the survey on influenza correlated with national surveillance data in South Korea. The results of this study showed that Google Trends in the Korean language can be used as complementary data for influenza surveillance but was insufficient for the use of predictive models, such as Google Flu Trends.

  5. Virtual Field Trips: Using Google Maps to Support Online Learning and Teaching of the History of Astronomy

    Science.gov (United States)

    Fluke, Christopher J.

    I report on a pilot study on the use of Google Maps to provide virtual field trips as a component of a wholly online graduate course on the history of astronomy. The Astronomical Tourist Web site (http://astronomy.swin.edu.au/sao/tourist), themed around the role that specific locations on Earth have contributed to the development of astronomical knowledge, was created using the Google Maps application programming interface. Students used this Web site as a component of their assessment and to help motivate and support online discussions. The site also aims to help build a stronger online community among geographically distributed students as they share in the creation of an Internet resource that will be used and enhanced by others over time. I describe the structure of the Web site and how it was integrated into student essays, and I provide a summary of student responses to this new learning and teaching approach. This project is an example of how Web 2.0 applications can be used to build new learning environments.

  6. Site reliability engineering how Google runs production systems

    CERN Document Server

    Petoff, Jennifer; Jones, Chris; Murphy, Niall Richard

    2016-01-01

    The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices...

  7. Anticipating Stock Market Movements with Google and Wikipedia

    Science.gov (United States)

    Moat, Helen Susannah; Curme, Chester; Stanley, H. Eugene; Preis, Tobias

    Many of the trading decisions that have led to financial crises are captured by vast, detailed stock market datasets. Here, we summarize two of our recent studies which investigate whether Internet usage data contain traces of attempts to gather information before such trading decisions were taken. By analyzing changes in how often Internet users searched for financially related information on Google (Preis et al., Sci Rep 3:1684, 2013) and Wikipedia (Moat et al., Sci Rep 3:1801, 2013), patterns are found that may be interpreted as "early warning signs" of stock market moves. Our results suggest that online data may allow us to gain new insight into early information gathering stages of economic decision making.

  8. Your tool-box contains more than Google

    CERN Multimedia

    2002-01-01

    Before : Library Head, Corrado Pettenati, worked diligently in the Library...   After : Corrado Pettenati still works diligently, but much more efficiently at his own desk. Don't panic if you don't find what you are looking for using Google. Remember that there are many important information sources that are not picked up by Internet search engines. Looking for quality assured information, online dictionaries, encyclopaedias and databases might respond more to your needs. The Library therefore provides the CERN community with access to a set of such resources - among them the most prestigious ones in their respective fields: the Oxford English Dictionary, Encyclopædia Britannica, Compendex and INSPEC. The Oxford English Dictionary is the accepted authority on the evolution of the English language over the last millennium. It is an unsurpassed guide to the meaning, history, and pronunciation of over half a million words, both present and past. The Encyclopædia Britannica is the...

  9. Google Wave: Have CTSA-Minded Institutions Caught It?

    Science.gov (United States)

    Donahue, Amy

    2010-01-01

    BACKGROUND: Google Wave was touted as the next big communication tool-combining e-mail, social networking, and chat within a single "wave"-with the potential to create a new world for collaboration. Information professionals who are knowledgeable of this tool and its capabilities could become uniquely situated to use it, evaluate it, and teach it. This seemed especially true for those working within Clinical and Translational Science Award (CTSA)-minded institutions, given the promise of interdisciplinary collaboration between investigators and the potential for creating new authorship models. This case study on Google Wave users who are affiliated with CTSA-minded institutions, was designed for and presented at the Evidence-Based Scholarly Communication Conference held by the University of New Mexico Health Sciences Library and Information Center. It provides an early evidence based evaluation of Google Wave's potential. METHODS: Two "waves" were created. The first consisted of five survey questions designed to collect demographic data on the respondents' roles, a general impression of Wave, the specific tools within Wave that might be useful, and potential collaborators with whom the respondents might use Wave. The second wave was a private, guided discussion on Wave's collaboration potential. Individuals from CTSA-minded institutions were invited to participate with messages on Twitter, forums, blogs, and electronic mail lists, although there were difficulties reaching out to these institutions as a group. RESULTS: By the conclusion of the study, only a small number of people (n=11, with a viable n=9) had responded to the survey. Given this small result set, it made sense to group the responses by the respondents' roles (CTSA staff and researchers, support staff, medical librarian, or general public) and to treat them as individual cases. Most of the respondents were librarians and support staff who felt that Wave might have potential for collaboration; there

  10. Google Wave: Have CTSA-Minded Institutions Caught It?

    Directory of Open Access Journals (Sweden)

    Amy Donahue

    2010-12-01

    Full Text Available Background - Google Wave was touted as the next big communication tool—combining e-mail, social networking, and chat within a single “wave”—with the potential to create a new world for collaboration. Information professionals who are knowledgeable of this tool and its capabilities could become uniquely situated to use it, evaluate it, and teach it. This seemed especially true for those working within Clinical and Translational Science Award (CTSA-minded institutions, given the promise of interdisciplinary collaboration between investigators and the potential for creating new authorship models. This case study on Google Wave users who are affiliated with CTSA-minded institutions, was designed for and presented at the Evidence-Based Scholarly Communication Conference held by the University of New Mexico Health Sciences Library and Information Center. It provides an early evidence based evaluation of Google Wave’s potential.Methods - Two “waves” were created. The first consisted of five survey questions designed to collect demographic data on the respondents’ roles, a general impression of Wave, the specific tools within Wave that might be useful, and potential collaborators with whom the respondents might use Wave. The second wave was a private, guided discussion on Wave’s collaboration potential. Individuals from CTSA-minded institutions were invited to participate with messages on Twitter, forums, blogs, and electronic mail lists, although there were difficulties reaching out to these institutions as a group.Results - By the conclusion of the study, only a small number of people (n=11, with a viable n=9 had responded to the survey. Given this small result set, it made sense to group the responses by the respondents’ roles (CTSA staff and researchers, support staff, medical librarian, or general public and to treat them as individual cases. Most of the respondents were librarians and support staff who felt that Wave might have

  11. Stop Worrying and Learn to Love the Google-Bomb

    Directory of Open Access Journals (Sweden)

    Séamus Byrne

    2004-01-01

    Full Text Available While the ‘web as rhizome’ is widely understood, this is rarely demonstrated more clearly than through the link ecologies of blogs. Yet another concept from Deleuze and Guattari, the refrain, could be in many ways as influential in understanding the nature of the web, particularly how the web is invoked through search engines. As Google’s PageRank algorithm is the most effective method of invoking a useful web hierarchy today, it has become both a practical and theoretical focus for the nature of the web itself. This paper aims to show that when blog linkages are used to intentionally influence PageRank, we find we are granted a clear and temporal demonstration of both rhizome and refrain.

  12. Google and the mind: predicting fluency with PageRank.

    Science.gov (United States)

    Griffiths, Thomas L; Steyvers, Mark; Firl, Alana

    2007-12-01

    Human memory and Internet search engines face a shared computational problem, needing to retrieve stored pieces of information in response to a query. We explored whether they employ similar solutions, testing whether we could predict human performance on a fluency task using PageRank, a component of the Google search engine. In this task, people were shown a letter of the alphabet and asked to name the first word beginning with that letter that came to mind. We show that PageRank, computed on a semantic network constructed from word-association data, outperformed word frequency and the number of words for which a word is named as an associate as a predictor of the words that people produced in this task. We identify two simple process models that could support this apparent correspondence between human memory and Internet search, and relate our results to previous rational models of memory.

  13. Does Saint Nicholas provoke seizures? Hints from Google Trends.

    Science.gov (United States)

    van Campen, Jolien S; van Diessen, Eric; Otte, Willem M; Joels, Marian; Jansen, Floor E; Braun, Kees P J

    2014-03-01

    Stress is the most often reported seizure-precipitant in epilepsy. As most evidence for the relation between stress and epilepsy is derived from human self-reports, observational studies including a larger part of the population could provide additional proof. A stressor often reported to increase seizure frequency in children with epilepsy in the Netherlands is the national celebration of Saint Nicholas' eve (December 5) and the weeks before; this is the main period of festivities for children in this country. To study the relation between stress and epilepsy, we analyzed epilepsy information-seeking behavior on the Internet, an indirect measure of seizure frequency, around this national children's celebration. Google Trends was used to extract relative search percentages for 'epilepsy' on Google in the Netherlands, the United States, and the United Kingdom between 2004 and 2013. Relative search percentages during the Saint Nicholas period were compared with baseline. Epilepsy searches increased by 14% in the Saint Nicholas period compared with baseline (p<0.001). This effect was not found for searches performed in the same period in the United States or the United Kingdom, countries where this holiday is not celebrated. The increase in epilepsy information-seeking behavior in the Saint Nicholas period is possibly caused by an increased occurrence of epileptic seizures. This underscores the potential of health information-seeking behavior on the Internet to answer clinically relevant research questions and provides circumstantial evidence for a relation between stress and the occurrence of epileptic seizures. Copyright © 2014 Elsevier Inc. All rights reserved.

  14. Seasonality in seeking mental health information on Google.

    Science.gov (United States)

    Ayers, John W; Althouse, Benjamin M; Allem, Jon-Patrick; Rosenquist, J Niels; Ford, Daniel E

    2013-05-01

    Population mental health surveillance is an important challenge limited by resource constraints, long time lags in data collection, and stigma. One promising approach to bridge similar gaps elsewhere has been the use of passively generated digital data. This article assesses the viability of aggregate Internet search queries for real-time monitoring of several mental health problems, specifically in regard to seasonal patterns of seeking out mental health information. All Google mental health queries were monitored in the U.S. and Australia from 2006 to 2010. Additionally, queries were subdivided among those including the terms ADHD (attention deficit-hyperactivity disorder); anxiety; bipolar; depression; anorexia or bulimia (eating disorders); OCD (obsessive-compulsive disorder); schizophrenia; and suicide. A wavelet phase analysis was used to isolate seasonal components in the trends, and based on this model, the mean search volume in winter was compared with that in summer, as performed in 2012. All mental health queries followed seasonal patterns with winter peaks and summer troughs amounting to a 14% (95% CI=11%, 16%) difference in volume for the U.S. and 11% (95% CI=7%, 15%) for Australia. These patterns also were evident for all specific subcategories of illness or problem. For instance, seasonal differences ranged from 7% (95% CI=5%, 10%) for anxiety (followed by OCD, bipolar, depression, suicide, ADHD, schizophrenia) to 37% (95% CI=31%, 44%) for eating disorder queries in the U.S. Several nonclinical motivators for query seasonality (such as media trends or academic interest) were explored and rejected. Information seeking on Google across all major mental illnesses and/or problems followed seasonal patterns similar to those found for seasonal affective disorder. These are the first data published on patterns of seasonality in information seeking encompassing all the major mental illnesses, notable also because they likely would have gone undetected using

  15. Google Scholar as replacement for systematic literature searches: good relative recall and precision are not enough.

    Science.gov (United States)

    Boeker, Martin; Vach, Werner; Motschall, Edith

    2013-10-26

    Recent research indicates a high recall in Google Scholar searches for systematic reviews. These reports raised high expectations of Google Scholar as a unified and easy to use search interface. However, studies on the coverage of Google Scholar rarely used the search interface in a realistic approach but instead merely checked for the existence of gold standard references. In addition, the severe limitations of the Google Search interface must be taken into consideration when comparing with professional literature retrieval tools.The objectives of this work are to measure the relative recall and precision of searches with Google Scholar under conditions which are derived from structured search procedures conventional in scientific literature retrieval; and to provide an overview of current advantages and disadvantages of the Google Scholar search interface in scientific literature retrieval. General and MEDLINE-specific search strategies were retrieved from 14 Cochrane systematic reviews. Cochrane systematic review search strategies were translated to Google Scholar search expression as good as possible under consideration of the original search semantics. The references of the included studies from the Cochrane reviews were checked for their inclusion in the result sets of the Google Scholar searches. Relative recall and precision were calculated. We investigated Cochrane reviews with a number of included references between 11 and 70 with a total of 396 references. The Google Scholar searches resulted in sets between 4,320 and 67,800 and a total of 291,190 hits. The relative recall of the Google Scholar searches had a minimum of 76.2% and a maximum of 100% (7 searches). The precision of the Google Scholar searches had a minimum of 0.05% and a maximum of 0.92%. The overall relative recall for all searches was 92.9%, the overall precision was 0.13%. The reported relative recall must be interpreted with care. It is a quality indicator of Google Scholar confined to

  16. Accuracy of remote electrocardiogram interpretation with the use of Google Glass technology.

    Science.gov (United States)

    Jeroudi, Omar M; Christakopoulos, George; Christopoulos, George; Kotsia, Anna; Kypreos, Megan A; Rangan, Bavana V; Banerjee, Subhash; Brilakis, Emmanouil S

    2015-02-01

    We sought to investigate the accuracy of remote electrocardiogram (ECG) interpretation using Google Glass (Google, Mountain View, California). Google Glass is an optical head mounted display device with growing applications in medicine. We compared interpretation of 10 ECGs with 21 clinically important findings by faculty and fellow cardiologists by (1) viewing the electrocardiographic image at the Google Glass screen; (2) viewing a photograph of the ECG taken using Google Glass and interpreted on a mobile device; (3) viewing the original paper ECG; and (4) viewing a photograph of the ECG taken with a high-resolution camera and interpreted on a mobile device. One point was given for identification of each correct finding. Subjective rating of the user experience was also recorded. Twelve physicians (4 faculty and 8 fellow cardiologists) participated. The average electrocardiographic interpretation score (maximum 21 points) as viewed through the Google Glass, Google Glass photograph on a mobile device, on paper, and high-resolution photograph on a mobile device was 13.5 ± 1.8, 16.1 ± 2.6, 18.3 ± 1.7, and 18.6 ± 1.5, respectively (p = 0.0005 between Google Glass and mobile device, p = 0.0005 between Google Glass and paper, and p = 0.002 between mobile device and paper). Of the 12 physicians, 9 (75%) were dissatisfied with ECGs viewing on the prism display of Google Glass. In conclusion, further improvements are needed before Google Glass can be reliably used for remote electrocardiographic analysis. Published by Elsevier Inc.

  17. Online Public Access Catalog: The Google Maps of the Library World

    Science.gov (United States)

    Bailey, Kieren

    2011-01-01

    What do Google Maps and a library's Online Public Access Catalog (OPAC) have in common? Google Maps provides users with all the information they need for a trip in one place; users can get directions and find out what attractions, hotels, and restaurants are close by. Librarians must find the ultimate OPAC that will provide, in one place, all the…

  18. Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings

    Directory of Open Access Journals (Sweden)

    Gianfranco Cervellin

    2017-09-01

    The results of our study confirm that Google Trends has modest reliability for defining the epidemiology of relatively common diseases with minor media coverage, or relatively rare diseases with higher audience. Overall, Google Trends seems to be more influenced by the media clamor than by true epidemiological burden.

  19. The Effects of Collaborative Writing Activity Using Google Docs on Students' Writing Abilities

    Science.gov (United States)

    Suwantarathip, Ornprapat; Wichadee, Saovapa

    2014-01-01

    Google Docs, a free web-based version of Microsoft Word, offers collaborative features which can be used to facilitate collaborative writing in a foreign language classroom. The current study compared writing abilities of students who collaborated on writing assignments using Google Docs with those working in groups in a face-to-face classroom.…

  20. NL-Netherlands: Court applies Google Spain: no right to be forgotten for convicted criminal

    NARCIS (Netherlands)

    Breemen, V.

    2014-01-01

    On 18 September 2014, the Amsterdam Court handed down the first national application of the EU Court of Justice’s Google Spain judgment. The case was initiated by a convicted criminal after Google had not fully granted his online removal requests. The court rejected the claim, but it should be noted

  1. Retrieving clinical evidence: a comparison of PubMed and Google Scholar for quick clinical searches.

    Science.gov (United States)

    Shariff, Salimah Z; Bejaimal, Shayna Ad; Sontrop, Jessica M; Iansavichus, Arthur V; Haynes, R Brian; Weir, Matthew A; Garg, Amit X

    2013-08-15

    Physicians frequently search PubMed for information to guide patient care. More recently, Google Scholar has gained popularity as another freely accessible bibliographic database. To compare the performance of searches in PubMed and Google Scholar. We surveyed nephrologists (kidney specialists) and provided each with a unique clinical question derived from 100 renal therapy systematic reviews. Each physician provided the search terms they would type into a bibliographic database to locate evidence to answer the clinical question. We executed each of these searches in PubMed and Google Scholar and compared results for the first 40 records retrieved (equivalent to 2 default search pages in PubMed). We evaluated the recall (proportion of relevant articles found) and precision (ratio of relevant to nonrelevant articles) of the searches performed in PubMed and Google Scholar. Primary studies included in the systematic reviews served as the reference standard for relevant articles. We further documented whether relevant articles were available as free full-texts. Compared with PubMed, the average search in Google Scholar retrieved twice as many relevant articles (PubMed: 11%; Google Scholar: 22%; PGoogle Scholar: 8%; P=.07). Google Scholar provided significantly greater access to free full-text publications (PubMed: 5%; Google Scholar: 14%; PGoogle Scholar returns twice as many relevant articles as PubMed and provides greater access to free full-text articles.

  2. Greek Academic Librarians' Perceptions of the Impact of Google on Their Role as Information Providers

    Science.gov (United States)

    Garoufallou, Emmanouel; Balatsoukas, Panos; Siatri, Rania; Zafeiriou, Georgia; Asderi, S.; Ekizoglou; P.

    2008-01-01

    The increased popularity of Google search engine in the daily routine in one's workplace and in the academic information seeking process is undeniable. "Googling" challenges the traditional skills of librarians as information providers and the role of library and information service provision in the digital era. This paper reports on the…

  3. Google and the "Twisted Cyber Spy" Affair: US-Chinese Communication in an Age of Globalization

    Science.gov (United States)

    Hartnett, Stephen John

    2011-01-01

    The "twisted cyber spy" affair began in 2010, when Google was attacked by Chinese cyber-warriors charged with stealing Google's intellectual property, planting viruses in its computers, and hacking the accounts of Chinese human rights activists. In the ensuing international embroglio, the US mainstream press, corporate leaders, and White…

  4. Google tegemas taas võimsat kvartalit / Fredy-Edwin Esse

    Index Scriptorium Estoniae

    Esse, Fredy-Edwin

    2011-01-01

    Nii Google'i kasum kui ka käive on prognooside kohaselt järsult tõusnud, prognoositakse 6,3 mld. dollari suuruse käibe juures kasumiks 8,14 dollarit aktsia kohta. Autor panustaks oma raha Google'isse vaid lühiajaliselt

  5. Students' Evaluation of Google Hangouts through a Cross-Cultural Group Discussion Activity

    Science.gov (United States)

    Kobayashi, Michiko

    2015-01-01

    The study investigated perceived ease of use and usefulness of Google Hangouts as an instructional/learning tool. Forty-two teacher education students at U.S and Japanese universities participated in an online cross-cultural activity using Google Hangouts and discussed cultural differences between the two countries and their teaching philosophies.…

  6. Students’ Evaluation of Google Hangouts Through A Cross-Cultural Group Discussion Activity

    Directory of Open Access Journals (Sweden)

    Michiko KOBAYASHI

    2015-04-01

    Full Text Available The study investigated perceived ease of use and usefulness of Google Hangouts as an instructional/learning tool. Forty-two teacher education students at U.S and Japanese universities participated in an online cross-cultural activity using Google Hangouts and discussed cultural differences between the two countries and their teaching philosophies. After the activity, students responded to a survey to evaluate the ease of use and usefulness of Google Hangouts. Qualitative data were also collected through the survey to examine their overall learning experience. The results indicated that Google Hangouts is a useful instructional tool, but not easy to use. Although technical problems occurred during the conference, the activity provided valuable experiences for both U.S. and Japanese students. The study provides suggestions for how Google Hangouts can be integrated into online classrooms based on the findings.

  7. Comparing burden of dermatologic disease to search interest on google trends.

    Science.gov (United States)

    Whitsitt, Jacob; Karimkhani, Chante; Boyers, Lindsay N; Lott, Jason P; Dellavalle, Robert P

    2015-01-15

    Google Trends is a publicly available resource for comparing Internet search query frequency and trends interest in queries over time. The tool provides country, region, and city-specific data for term search volume on Google Search. Our study sought to compare the relative search interest to the burden of disease for the fifteen skin conditions studied by the Global Burden of Disease (GBD) 2010 project. Searches on Google Trends were conducted by using the most inclusive terms and true ICD code definitions as possible for the skin conditions studied. We report that relative interest on Google Trends did largely correlate to burden of disease reported by the GBD 2010 study, though some conditions were either underrepresented or overrepresented. Acne and herpes were the most Googled skin disease terms. This study provides further insight into what may be the most burdensome skin diseases because those with more burdensome diseases likely sought out information on their condition.

  8. Accurate estimation of influenza epidemics using Google search data via ARGO.

    Science.gov (United States)

    Yang, Shihao; Santillana, Mauricio; Kou, S C

    2015-11-24

    Accurate real-time tracking of influenza outbreaks helps public health officials make timely and meaningful decisions that could save lives. We propose an influenza tracking model, ARGO (AutoRegression with GOogle search data), that uses publicly available online search data. In addition to having a rigorous statistical foundation, ARGO outperforms all previously available Google-search-based tracking models, including the latest version of Google Flu Trends, even though it uses only low-quality search data as input from publicly available Google Trends and Google Correlate websites. ARGO not only incorporates the seasonality in influenza epidemics but also captures changes in people's online search behavior over time. ARGO is also flexible, self-correcting, robust, and scalable, making it a potentially powerful tool that can be used for real-time tracking of other social events at multiple temporal and spatial resolutions.

  9. Collect Earth: Land Use and Land Cover Assessment through Augmented Visual Interpretation

    Directory of Open Access Journals (Sweden)

    Adia Bey

    2016-09-01

    Full Text Available Collect Earth is a free and open source software for land monitoring developed by the Food and Agriculture Organization of the United Nations (FAO. Built on Google desktop and cloud computing technologies, Collect Earth facilitates access to multiple freely available archives of satellite imagery, including archives with very high spatial resolution imagery (Google Earth, Bing Maps and those with very high temporal resolution imagery (e.g., Google Earth Engine, Google Earth Engine Code Editor. Collectively, these archives offer free access to an unparalleled amount of information on current and past land dynamics for any location in the world. Collect Earth draws upon these archives and the synergies of imagery of multiple resolutions to enable an innovative method for land monitoring that we present here: augmented visual interpretation. In this study, we provide a full overview of Collect Earth’s structure and functionality, and we present the methodology used to undertake land monitoring through augmented visual interpretation. To illustrate the application of the tool and its customization potential, an example of land monitoring in Papua New Guinea (PNG is presented. The PNG example demonstrates that Collect Earth is a comprehensive and user-friendly tool for land monitoring and that it has the potential to be used to assess land use, land use change, natural disasters, sustainable management of scarce resources and ecosystem functioning. By enabling non-remote sensing experts to assess more than 100 sites per day, we believe that Collect Earth can be used to rapidly and sustainably build capacity for land monitoring and to substantively improve our collective understanding of the world’s land use and land cover.

  10. Google glass: a driver distraction cause or cure?

    Science.gov (United States)

    Sawyer, Ben D; Finomore, Victor S; Calvo, Andres A; Hancock, P A

    2014-11-01

    We assess the driving distraction potential of texting with Google Glass (Glass), a mobile wearable platform capable of receiving and sending short-message-service and other messaging formats. A known roadway danger, texting while driving has been targeted by legislation and widely banned. Supporters of Glass claim the head-mounted wearable computer is designed to deliver information without concurrent distraction. Existing literature supports the supposition that design decisions incorporated in Glass might facilitate messaging for drivers. We asked drivers in a simulator to drive and use either Glass or a smartphone-based messaging interface, then interrupted them with an emergency brake event. Both the response event and subsequent recovery were analyzed. Glass-delivered messages served to moderate but did not eliminate distracting cognitive demands. A potential passive cost to drivers merely wearing Glass was also observed. Messaging using either device impaired driving as compared to driving without multitasking. Glass in not a panacea as some supporters claim, but it does point the way to design interventions that effect reduced load in multitasking. Discussions of these identified benefits are framed within the potential of new in-vehicle systems that bring both novel forms of distraction and tools for mitigation into the driver's seat.

  11. Dynamic Forecasting of Zika Epidemics Using Google Trends.

    Science.gov (United States)

    Teng, Yue; Bi, Dehua; Xie, Guigang; Jin, Yuan; Huang, Yong; Lin, Baihan; An, Xiaoping; Feng, Dan; Tong, Yigang

    2017-01-01

    We developed a dynamic forecasting model for Zika virus (ZIKV), based on real-time online search data from Google Trends (GTs). It was designed to provide Zika virus disease (ZVD) surveillance and detection for Health Departments, and predictive numbers of infection cases, which would allow them sufficient time to implement interventions. In this study, we found a strong correlation between Zika-related GTs and the cumulative numbers of reported cases (confirmed, suspected and total cases; p<0.001). Then, we used the correlation data from Zika-related online search in GTs and ZIKV epidemics between 12 February and 20 October 2016 to construct an autoregressive integrated moving average (ARIMA) model (0, 1, 3) for the dynamic estimation of ZIKV outbreaks. The forecasting results indicated that the predicted data by ARIMA model, which used the online search data as the external regressor to enhance the forecasting model and assist the historical epidemic data in improving the quality of the predictions, are quite similar to the actual data during ZIKV epidemic early November 2016. Integer-valued autoregression provides a useful base predictive model for ZVD cases. This is enhanced by the incorporation of GTs data, confirming the prognostic utility of search query based surveillance. This accessible and flexible dynamic forecast model could be used in the monitoring of ZVD to provide advanced warning of future ZIKV outbreaks.

  12. What Googling Trends Tell Us About Public Interest in Earthquakes

    Science.gov (United States)

    Tan, Y. J.; Maharjan, R.

    2017-12-01

    Previous studies have shown that immediately after large earthquakes, there is a period of increased public interest. This represents a window of opportunity for science communication and disaster relief fundraising efforts to reach more people. However, how public interest varies for different earthquakes has not been quantified systematically on a global scale. We analyze how global search interest for the term "earthquake" on Google varies following earthquakes of magnitude ≥ 5.5 from 2004 to 2016. We find that there is a spike in search interest after large earthquakes followed by an exponential temporal decay. Preliminary results suggest that the period of increased search interest scales with death toll and correlates with the period of increased media coverage. This suggests that the relationship between the period of increased public interest in earthquakes and death toll might be an effect of differences in media coverage. However, public interest never remains elevated for more than three weeks. Therefore, to take advantage of this short period of increased public interest, science communication and disaster relief fundraising efforts have to act promptly following devastating earthquakes.

  13. Google Home: smart speaker as environmental control unit.

    Science.gov (United States)

    Noda, Kenichiro

    2017-08-23

    Environmental Control Units (ECU) are devices or a system that allows a person to control appliances in their home or work environment. Such system can be utilized by clients with physical and/or functional disability to enhance their ability to control their environment, to promote independence and improve their quality of life. Over the last several years, there have been an emergence of several inexpensive, commercially-available, voice activated smart speakers into the market such as Google Home and Amazon Echo. These smart speakers are equipped with far field microphone that supports voice recognition, and allows for complete hand-free operation for various purposes, including for playing music, for information retrieval, and most importantly, for environmental control. Clients with disability could utilize these features to turn the unit into a simple ECU that is completely voice activated and wirelessly connected to appliances. Smart speakers, with their ease of setup, low cost and versatility, may be a more affordable and accessible alternative to the traditional ECU. Implications for Rehabilitation Environmental Control Units (ECU) enable independence for physically and functionally disabled clients, and reduce burden and frequency of demands on carers. Traditional ECU can be costly and may require clients to learn specialized skills to use. Smart speakers have the potential to be used as a new-age ECU by overcoming these barriers, and can be used by a wider range of clients.

  14. Quantum Google algorithm. Construction and application to complex networks

    Science.gov (United States)

    Paparo, G. D.; Müller, M.; Comellas, F.; Martin-Delgado, M. A.

    2014-07-01

    We review the main findings on the ranking capabilities of the recently proposed Quantum PageRank algorithm (G.D. Paparo et al., Sci. Rep. 2, 444 (2012) and G.D. Paparo et al., Sci. Rep. 3, 2773 (2013)) applied to large complex networks. The algorithm has been shown to identify unambiguously the underlying topology of the network and to be capable of clearly highlighting the structure of secondary hubs of networks. Furthermore, it can resolve the degeneracy in importance of the low-lying part of the list of rankings. Examples of applications include real-world instances from the WWW, which typically display a scale-free network structure and models of hierarchical networks. The quantum algorithm has been shown to display an increased stability with respect to a variation of the damping parameter, present in the Google algorithm, and a more clearly pronounced power-law behaviour in the distribution of importance among the nodes, as compared to the classical algorithm.

  15. Google matrix of the citation network of Physical Review

    Science.gov (United States)

    Frahm, Klaus M.; Eom, Young-Ho; Shepelyansky, Dima L.

    2014-05-01

    We study the statistical properties of spectrum and eigenstates of the Google matrix of the citation network of Physical Review for the period 1893-2009. The main fraction of complex eigenvalues with largest modulus is determined numerically by different methods based on high-precision computations with up to p =16384 binary digits that allow us to resolve hard numerical problems for small eigenvalues. The nearly nilpotent matrix structure allows us to obtain a semianalytical computation of eigenvalues. We find that the spectrum is characterized by the fractal Weyl law with a fractal dimension df≈1. It is found that the majority of eigenvectors are located in a localized phase. The statistical distribution of articles in the PageRank-CheiRank plane is established providing a better understanding of information flows on the network. The concept of ImpactRank is proposed to determine an influence domain of a given article. We also discuss the properties of random matrix models of Perron-Frobenius operators.

  16. Sulfur Earth

    Science.gov (United States)

    de Jong, B. H.

    2007-12-01

    Variations in surface tension affect the buoyancy of objects floating in a liquid. Thus an object floating in water will sink deeper in the presence of dishwater fluid. This is a very minor but measurable effect. It causes for instance ducks to drown in aqueous solutions with added surfactant. The surface tension of liquid iron is very strongly affected by the presence of sulfur which acts as a surfactant in this system varying between 1.9 and 0.4 N/m at 10 mass percent Sulfur (Lee & Morita (2002), This last value is inferred to be the maximum value for Sulfur inferred to be present in the liquid outer core. Venting of Sulfur from the liquid core manifests itself on the Earth surface by the 105 to 106 ton of sulfur vented into the atmosphere annually (Wedepohl, 1984). Inspection of surface Sulfur emission indicates that venting is non-homogeneously distributed over the Earth's surface. The implication of such large variation in surface tension in the liquid outer core are that at locally low Sulfur concentration, the liquid outer core does not wet the predominantly MgSiO3 matrix with which it is in contact. However at a local high in Sulfur, the liquid outer core wets this matrix which in the fluid state has a surface tension of 0.4 N/m (Bansal & Doremus, 1986), couples with it, and causes it to sink. This differential and diapiric movement is transmitted through the essentially brittle mantle (1024 Pa.s, Lambeck & Johnson, 1998; the maximum value for ice being about 1030 Pa.s at 0 K, in all likely hood representing an upper bound of viscosity for all materials) and manifests itself on the surface by the roughly 20 km differentiation, about 0.1 % of the total mantle thickness, between topographical heights and lows with concomitant lateral movement in the crust and upper mantle resulting in thin skin tectonics. The brittle nature of the medium though which this movement is transmitted suggests that the extremes in topography of the D" layer are similar in range to

  17. Der Einsatz von Google Scholar dargestellt an ausgewählten Universitätsbibliotheken im Raum Wien

    OpenAIRE

    Kurz, Natascha

    2008-01-01

    In the last few years a number of academic search engines have been developed to simplify the search for academic documents. Examples of such search engines are SciTopia, Worldwidescience and Google Scholar amongst others, but this paper only focuses on the tracing service of Google. Google Scholar scans exclusively academic documents but payment is required if someone wants to download the full text of a document. However, Google Scholar permits access to all abstracts of the documents. This...

  18. Rage against the machine? Google's self-driving cars versus human drivers.

    Science.gov (United States)

    Teoh, Eric R; Kidd, David G

    2017-12-01

    Automated driving represents both challenges and opportunities in highway safety. Google has been developing self-driving cars and testing them under employee supervision on public roads since 2009. These vehicles have been involved in several crashes, and it is of interest how this testing program compares to human drivers in terms of safety. Google car crashes were coded by type and severity based on narratives released by Google. Crash rates per million vehicle miles traveled (VMT) were computed for crashes deemed severe enough to be reportable to police. These were compared with police-reported crash rates for human drivers. Crash types also were compared. Google cars had a much lower rate of police-reportable crashes per million VMT than human drivers in Mountain View, Calif., during 2009-2015 (2.19 vs 6.06), but the difference was not statistically significant. The most common type of collision involving Google cars was when they got rear-ended by another (human-driven) vehicle. Google cars shared responsibility for only one crash. These results suggest Google self-driving cars, while a test program, are safer than conventional human-driven passenger vehicles; however, currently there is insufficient information to fully examine the extent to which disengagements affected these results. Results suggest that highly-automated vehicles can perform more safely than human drivers in certain conditions, but will continue to be involved in crashes with conventionally-driven vehicles. Copyright © 2017. Published by Elsevier Ltd.

  19. Croatian Medical Journal citation score in Web of Science, Scopus, and Google Scholar.

    Science.gov (United States)

    Sember, Marijan; Utrobicić, Ana; Petrak, Jelka

    2010-04-01

    To analyze the 2007 citation count of articles published by the Croatian Medical Journal in 2005-2006 based on data from the Web of Science, Scopus, and Google Scholar. Web of Science and Scopus were searched for the articles published in 2005-2006. As all articles returned by Scopus were included in Web of Science, the latter list was the sample for further analysis. Total citation counts for each article on the list were retrieved from Web of Science, Scopus, and Google Scholar. The overlap and unique citations were compared and analyzed. Proportions were compared using chi(2)-test. Google Scholar returned the greatest proportion of articles with citations (45%), followed by Scopus (42%), and Web of Science (38%). Almost a half (49%) of articles had no citations and 11% had an equal number of identical citations in all 3 databases. The greatest overlap was found between Web of Science and Scopus (54%), followed by Scopus and Google Scholar (51%), and Web of Science and Google Scholar (44%). The greatest number of unique citations was found by Google Scholar (n=86). The majority of these citations (64%) came from journals, followed by books and PhD theses. Approximately 55% of all citing documents were full-text resources in open access. The language of citing documents was mostly English, but as many as 25 citing documents (29%) were in Chinese. Google Scholar shares a total of 42% citations returned by two others, more influential, bibliographic resources. The list of unique citations in Google Scholar is predominantly journal based, but these journals are mainly of local character. Citations received by internationally recognized medical journals are crucial for increasing the visibility of small medical journals but Google Scholar may serve as an alternative bibliometric tool for an orientational citation insight.

  20. Croatian Medical Journal Citation Score in Web of Science, Scopus, and Google Scholar

    Science.gov (United States)

    Šember, Marijan; Utrobičić, Ana; Petrak, Jelka

    2010-01-01

    Aim To analyze the 2007 citation count of articles published by the Croatian Medical Journal in 2005-2006 based on data from the Web of Science, Scopus, and Google Scholar. Methods Web of Science and Scopus were searched for the articles published in 2005-2006. As all articles returned by Scopus were included in Web of Science, the latter list was the sample for further analysis. Total citation counts for each article on the list were retrieved from Web of Science, Scopus, and Google Scholar. The overlap and unique citations were compared and analyzed. Proportions were compared using χ2-test. Results Google Scholar returned the greatest proportion of articles with citations (45%), followed by Scopus (42%), and Web of Science (38%). Almost a half (49%) of articles had no citations and 11% had an equal number of identical citations in all 3 databases. The greatest overlap was found between Web of Science and Scopus (54%), followed by Scopus and Google Scholar (51%), and Web of Science and Google Scholar (44%). The greatest number of unique citations was found by Google Scholar (n = 86). The majority of these citations (64%) came from journals, followed by books and PhD theses. Approximately 55% of all citing documents were full-text resources in open access. The language of citing documents was mostly English, but as many as 25 citing documents (29%) were in Chinese. Conclusion Google Scholar shares a total of 42% citations returned by two others, more influential, bibliographic resources. The list of unique citations in Google Scholar is predominantly journal based, but these journals are mainly of local character. Citations received by internationally recognized medical journals are crucial for increasing the visibility of small medical journals but Google Scholar may serve as an alternative bibliometric tool for an orientational citation insight. PMID:20401951

  1. Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings.

    Science.gov (United States)

    Cervellin, Gianfranco; Comelli, Ivan; Lippi, Giuseppe

    2017-09-01

    Internet-derived information has been recently recognized as a valuable tool for epidemiological investigation. Google Trends, a Google Inc. portal, generates data on geographical and temporal patterns according to specified keywords. The aim of this study was to compare the reliability of Google Trends in different clinical settings, for both common diseases with lower media coverage, and for less common diseases attracting major media coverage. We carried out a search in Google Trends using the keywords "renal colic", "epistaxis", and "mushroom poisoning", selected on the basis of available and reliable epidemiological data. Besides this search, we carried out a second search for three clinical conditions (i.e., "meningitis", "Legionella Pneumophila pneumonia", and "Ebola fever"), which recently received major focus by the Italian media. In our analysis, no correlation was found between data captured from Google Trends and epidemiology of renal colics, epistaxis and mushroom poisoning. Only when searching for the term "mushroom" alone the Google Trends search generated a seasonal pattern which almost overlaps with the epidemiological profile, but this was probably mostly due to searches for harvesting and cooking rather than to for poisoning. The Google Trends data also failed to reflect the geographical and temporary patterns of disease for meningitis, Legionella Pneumophila pneumonia and Ebola fever. The results of our study confirm that Google Trends has modest reliability for defining the epidemiology of relatively common diseases with minor media coverage, or relatively rare diseases with higher audience. Overall, Google Trends seems to be more influenced by the media clamor than by true epidemiological burden. Copyright © 2017 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. All rights reserved.

  2. Freedom of expression and ‘right to be forgotten’ cases in the Netherlands after Google Spain

    NARCIS (Netherlands)

    Kulk, S.

    2015-01-01

    Since the Google Spain judgment of the Court of Justice of the European Union, Europeans have, under certain conditions, the right to have search results for their name delisted. This paper examines how the Google Spain judgment has been applied in the Netherlands. Since the Google Spain judgment,

  3. 78 FR 2398 - Motorola Mobility LLC and Google Inc.; Analysis of Proposed Consent Order to Aid Public Comment

    Science.gov (United States)

    2013-01-11

    ... FEDERAL TRADE COMMISSION [File No. 121-0120] Motorola Mobility LLC and Google Inc.; Analysis of... SUPPLEMENTARY INFORMATION section below. Write ``Motorola/Google, File No. 121-0120'' on your comment, and file.../Google, File No. 121-0120'' on your comment. Your comment--including your name and your state--will be...

  4. A Participatory Agent-Based Simulation for Indoor Evacuation Supported by Google Glass.

    Science.gov (United States)

    Sánchez, Jesús M; Carrera, Álvaro; Iglesias, Carlos Á; Serrano, Emilio

    2016-08-24

    Indoor evacuation systems are needed for rescue and safety management. One of the challenges is to provide users with personalized evacuation routes in real time. To this end, this project aims at exploring the possibilities of Google Glass technology for participatory multiagent indoor evacuation simulations. Participatory multiagent simulation combines scenario-guided agents and humans equipped with Google Glass that coexist in a shared virtual space and jointly perform simulations. The paper proposes an architecture for participatory multiagent simulation in order to combine devices (Google Glass and/or smartphones) with an agent-based social simulator and indoor tracking services.

  5. Google Lunar XPRIZE: NewSpace Entrepreneurs Go Back to the Moon - For Good.

    Science.gov (United States)

    Hall, A.; Barton, A.; Heward, A.

    2013-09-01

    The Google Lunar XPRIZE is igniting a new era of lunar exploration by offering the largest international incentive prize of all time. A total of $30 million in prizes are available to the first privately funded teams to safely land a robot on the surface of the Moon. Currently 23 teams are competing for the Google Lunar XPRIZE, with team headquarters spread across the world, including Germany, Hungary, Spain, Croatia, Denmark, Romania, Russia, India, Israel, Malaysia, Japan, Chile and Brazil as well as the USA. The Google Lunar XPRIZE expires whenever all prizes are claimed, or on December 31, 2015.

  6. Spectral properties of the Google matrix of the World Wide Web and other directed networks.

    Science.gov (United States)

    Georgeot, Bertrand; Giraud, Olivier; Shepelyansky, Dima L

    2010-05-01

    We study numerically the spectrum and eigenstate properties of the Google matrix of various examples of directed networks such as vocabulary networks of dictionaries and university World Wide Web networks. The spectra have gapless structure in the vicinity of the maximal eigenvalue for Google damping parameter α equal to unity. The vocabulary networks have relatively homogeneous spectral density, while university networks have pronounced spectral structures which change from one university to another, reflecting specific properties of the networks. We also determine specific properties of eigenstates of the Google matrix, including the PageRank. The fidelity of the PageRank is proposed as a characterization of its stability.

  7. Performance Marketing with Google Analytics Strategies and Techniques for Maximizing Online ROI

    CERN Document Server

    Tonkin, Sebastian

    2010-01-01

    An unparalleled author trio shares valuable advice for using Google Analytics to achieve your business goals. Google Analytics is a free tool used by millions of Web site owners across the globe to track how visitors interact with their Web sites, where they arrive from, and which visitors drive the most revenue and sales leads. This book offers clear explanations of practical applications drawn from the real world. The author trio of Google Analytics veterans starts with a broad explanation of performance marketing and gets progressively more specific, closing with step-by-step analysis and a

  8. Feasibility of Google Tango and Kinect for Crowdsourcing Forestry Information

    Directory of Open Access Journals (Sweden)

    Juha Hyyppä

    2017-12-01

    Full Text Available In this paper, we demonstrate the feasibility of using the Microsoft Kinect and Google Tango frame-based depth sensors for individual tree stem measurements and reconstruction for the purpose of forest inventory. Conventionally field reference data in forest inventory are collected at tree and sample plot level by means of manual measurements (e.g., a caliper, which are both labor-intensive and time-consuming. In this study, color (i.e., red, green and blue channels, RGB and range images acquired by a Kinect and Tango systems were processed and used to extract tree diameter measurements for the individual tree stems. For this, 121 reference stem diameter measurements were made with tape and caliper. Kinect-derived tree diameters agreed with tape measurements to a 1.90 cm root-mean-square error (RMSE. The stem curve from the ground to the diameter at breast height agreed with a bias of 0.7 cm and random error of 0.8 cm with respect to the reference trunk. For Tango measurements, the obtained stem diameters matched those from tape measurement with an RMSE of 0.73 cm, having an average bias of 0.3 cm. As highly portable and inexpensive systems, both Kinect and Tango provide an easy way to collect tree stem diameter and stem curve information vital to forest inventory. These inexpensive instruments may in future compete with both terrestrial and mobile laser scanning or conventional fieldwork using calipers or tape. Accuracy is adequate for practical applications in forestry. Measurements made using Kinect and Tango type systems could also be applied in crowdsourcing context.

  9. Googling suicide: surfing for suicide information on the Internet.

    Science.gov (United States)

    Recupero, Patricia R; Harms, Samara E; Noble, Jeffrey M

    2008-06-01

    This study examined the types of resources a suicidal person might find through search engines on the Internet. We were especially interested in determining the accessibility of potentially harmful resources, such as prosuicide forums, as such resources have been implicated in completed suicides and are known to exist on the Web. Using 5 popular search engines (Google, Yahoo!, Ask.com, Lycos, and Dogpile) and 4 suicide-related search terms (suicide, how to commit suicide, suicide methods, and how to kill yourself), we collected quantitative and qualitative data about the search results. The searches were conducted in August and September 2006. Several coraters assigned codes and characterizations to the first 30 Web sites per search term combination (and "sponsored links" on those pages), which were then confirmed by consensus ratings. Search results were classified as being prosuicide, antisuicide, suicide-neutral, not a suicide site, or error (i.e., page would not load). Additional information was collected to further characterize the nature of the information on these Web sites. Suicide-neutral and anti-suicide pages occurred most frequently (of 373 unique Web pages, 115 were coded as suicide-neutral, and 109 were anti-suicide). While pro-suicide resources were less frequent (41 Web pages), they were nonetheless easily accessible. Detailed how-to instructions for unusual and lethal suicide methods were likewise easily located through the searches. Mental health professionals should ask patients about their Internet use. Depressed, suicidal, or potentially suicidal patients who use the Internet may be especially at risk. Clinicians may wish to assist patients in locating helpful, supportive resources online so that patients' Internet use may be more therapeutic than harmful.

  10. Semantic Web Data Discovery of Earth Science Data at NASA Goddard Earth Sciences Data and Information Services Center (GES DISC)

    Science.gov (United States)

    Hegde, Mahabaleshwara; Strub, Richard F.; Lynnes, Christopher S.; Fang, Hongliang; Teng, William

    2008-01-01

    Mirador is a web interface for searching Earth Science data archived at the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). Mirador provides keyword-based search and guided navigation for providing efficient search and access to Earth Science data. Mirador employs the power of Google's universal search technology for fast metadata keyword searches, augmented by additional capabilities such as event searches (e.g., hurricanes), searches based on location gazetteer, and data services like format converters and data sub-setters. The objective of guided data navigation is to present users with multiple guided navigation in Mirador is an ontology based on the Global Change Master directory (GCMD) Directory Interchange Format (DIF). Current implementation includes the project ontology covering various instruments and model data. Additional capabilities in the pipeline include Earth Science parameter and applications ontologies.

  11. Emergency medicine residents' beliefs about contributing to a Google DocsTM presentation: a survey protocol

    Directory of Open Access Journals (Sweden)

    Patrick Archambault

    2011-07-01

    Conclusion To our knowledge, this study will be the first to use a theory based framework to identify healthcare trainees' salient beliefs concerning their decision whether to contribute to an online collaborative writing project using Google DocsTM.

  12. Interpreting Google flu trends data for pandemic H1N1 influenza: the New Zealand experience.

    Science.gov (United States)

    Wilson, N; Mason, K; Tobias, M; Peacey, M; Huang, Q S; Baker, M

    2009-11-05

    For the period of the spread of pandemic H1N1 influenza in New Zealand during 2009, we compared results from Google Flu Trends with data from existing surveillance systems. The patterns from Google Flu Trends were closely aligned with (peaking a week before and a week after) two independent national surveillance systems for influenza-like illness (ILI) cases. It was much less congruent with (delayed by three weeks) data from ILI-related calls to a national free-phone Healthline and with media coverage of pandemic influenza. Some patterns were unique to Google Flu Trends and may not have reflected the actual ILI burden in the community. Overall, Google Flu Trends appears to provide a useful free surveillance system but it should probably be seen as supplementary rather than as an alternative.

  13. Online transit trip planner for small agencies using Google Transit : final deployment package.

    Science.gov (United States)

    2011-09-01

    Google Transit is a public transportation trip planner that enables travelers to obtain information regarding available transit services between a : given origin and given destination. While transit agencies can publish their service information onto...

  14. Infodemiology of status epilepticus: A systematic validation of the Google Trends-based search queries.

    Science.gov (United States)

    Bragazzi, Nicola Luigi; Bacigaluppi, Susanna; Robba, Chiara; Nardone, Raffaele; Trinka, Eugen; Brigo, Francesco

    2016-02-01

    People increasingly use Google looking for health-related information. We previously demonstrated that in English-speaking countries most people use this search engine to obtain information on status epilepticus (SE) definition, types/subtypes, and treatment. Now, we aimed at providing a quantitative analysis of SE-related web queries. This analysis represents an advancement, with respect to what was already previously discussed, in that the Google Trends (GT) algorithm has been further refined and correlational analyses have been carried out to validate the GT-based query volumes. Google Trends-based SE-related query volumes were well correlated with information concerning causes and pharmacological and nonpharmacological treatments. Google Trends can provide both researchers and clinicians with data on realities and contexts that are generally overlooked and underexplored by classic epidemiology. In this way, GT can foster new epidemiological studies in the field and can complement traditional epidemiological tools. Copyright © 2015 Elsevier Inc. All rights reserved.

  15. Temporal patterns of scientific information-seeking on Google and Wikipedia.

    Science.gov (United States)

    Segev, Elad; Sharon, Aviv J

    2017-11-01

    In response to the news coverage of scientific events and to science education, people increasingly go online to get more information. This study investigates how patterns of science and technology information-seeking on Google and Wikipedia change over time, in ways that differ between "ad hoc" terms that correspond to news coverage and "cyclic" terms that correspond to the academic period. Findings show that the science and technology activity in Google and Wikipedia was significantly associated with ad hoc and cyclic patterns. While the peak activity in Google and Wikipedia largely overlapped for ad hoc terms, it mismatched for cyclic terms. The findings indicate the importance of external cues such as news media and education, and also of the online engagement process, and particularly the crucial but different role played by Google and Wikipedia in gaining science and technology knowledge. Educators and policy makers could benefit from taking into account those different patterns.

  16. Texting while driving using Google Glass™: Promising but not distraction-free.

    Science.gov (United States)

    He, Jibo; Choi, William; McCarley, Jason S; Chaparro, Barbara S; Wang, Chun

    2015-08-01

    Texting while driving is risky but common. This study evaluated how texting using a Head-Mounted Display, Google Glass, impacts driving performance. Experienced drivers performed a classic car-following task while using three different interfaces to text: fully manual interaction with a head-down smartphone, vocal interaction with a smartphone, and vocal interaction with Google Glass. Fully manual interaction produced worse driving performance than either of the other interaction methods, leading to more lane excursions and variable vehicle control, and higher workload. Compared to texting vocally with a smartphone, texting using Google Glass produced fewer lane excursions, more braking responses, and lower workload. All forms of texting impaired driving performance compared to undistracted driving. These results imply that the use of Google Glass for texting impairs driving, but its Head-Mounted Display configuration and speech recognition technology may be safer than texting using a smartphone. Copyright © 2015 Elsevier Ltd. All rights reserved.

  17. MARs Tools for Interactive ANalysis (MARTIAN): Google Maps Tools for Visual Exploration of Geophysical Modeling on Mars

    Science.gov (United States)

    Dimitrova, L. L.; Haines, M.; Holt, W. E.; Schultz, R. A.; Richard, G.; Haines, A. J.

    2006-12-01

    Interactive maps of surface-breaking faults and stress models on Mars provide important tools to engage undergraduate students, educators, and scientists with current geological and geophysical research. We have developed a map based on the Google Maps API -- an Internet based tool combining DHTML and AJAX, -- which allows very large maps to be viewed over the World Wide Web. Typically, small portions of the maps are downloaded as needed, rather than the entire image at once. This set-up enables relatively fast access for users with low bandwidth. Furthermore, Google Maps provides an extensible interactive interface making it ideal for visualizing multiple data sets at the user's choice. The Google Maps API works primarily with data referenced to latitudes and longitudes, which is then mapped in Mercator projection only. We have developed utilities for general cylindrical coordinate systems by converting these coordinates into equivalent Mercator projection before including them on the map. The MARTIAN project is available at http://rock.geo.sunysb.edu/~holt/Mars/MARTIAN/. We begin with an introduction to the Martian surface using a topography model. Faults from several datasets are classified by type (extension vs. compression) and by time epoch. Deviatoric stresses due to gravitational potential energy differences, calculated from the topography and crustal thickness, can be overlain. Several quantitative measures for the fit of the stress field to the faults are also included. We provide introductory text and exercises spanning a range of topics: how are faults identified, what stress is and how it relates to faults, what gravitational potential energy is and how variations in it produce stress, how the models are created, and how these models can be evaluated and interpreted. The MARTIAN tool is used at Stony Brook University in GEO 310: Introduction to Geophysics, a class geared towards junior and senior geosciences majors. Although this project is in its

  18. Google Search Queries About Neurosurgical Topics: Are They a Suitable Guide for Neurosurgeons?

    Science.gov (United States)

    Lawson McLean, Anna C; Lawson McLean, Aaron; Kalff, Rolf; Walter, Jan

    2016-06-01

    Google is the most popular search engine, with about 100 billion searches per month. Google Trends is an integrated tool that allows users to obtain Google's search popularity statistics from the last decade. Our aim was to evaluate whether Google Trends is a useful tool to assess the public's interest in specific neurosurgical topics. We evaluated Google Trends statistics for the neurosurgical search topic areas "hydrocephalus," "spinal stenosis," "concussion," "vestibular schwannoma," and "cerebral arteriovenous malformation." We compared these with bibliometric data from PubMed and epidemiologic data from the German Federal Monitoring Agency. In addition, we assessed Google users' search behavior for the search terms "glioblastoma" and "meningioma." Over the last 10 years, there has been an increasing interest in the topic "concussion" from Internet users in general and scientists. "Spinal stenosis," "concussion," and "vestibular schwannoma" are topics that are of special interest in high-income countries (eg, Germany), whereas "hydrocephalus" is a popular topic in low- and middle-income countries. The Google-defined top searches within these topic areas revealed more detail about people's interests (eg, "normal pressure hydrocephalus" or "football concussion" ranked among the most popular search queries within the corresponding topics). There was a similar volume of queries for "glioblastoma" and "meningioma." Google Trends is a useful source to elicit information about general trends in peoples' health interests and the role of different diseases across the world. The Internet presence of neurosurgical units and surgeons can be guided by online users' interests to achieve high-quality, professional-endorsed patient education. Copyright © 2016 Elsevier Inc. All rights reserved.

  19. Selling blood and gametes during tough economic times: insights from Google search.

    Science.gov (United States)

    Wu, Jonathan A; Ngo, Tin C; Rothman, Cappy; Breyer, Benjamin N; Eisenberg, Michael L

    2015-10-01

    To use Google Insights search volume and publicly available economic indicators to test the hypothesis that sperm, egg, and blood donations increase during economic downturns and to demonstrate the feasibility of using Google search volume data to predict national trends in actual sperm, egg, and blood donations rates. Cross-correlation statistical analysis comparing Google search data for terms relating to blood, egg, and sperm donations with various economic indicators including the S&P 500 closing values, gross domestic product (GDP), the U.S. Index of Leading Indicators (U.S. Leading Index), gross savings rate, mortgage interest rates, unemployment rate, and consumer price index (CPI) from 2004-2011. A secondary analysis determined the Pearson correlation coefficient between Google search data with actual sperm, egg, and blood donation volume in the U.S. as measured by California Cryobank, the National Assisted Reproductive Technology Surveillance System, and the National Blood Collection and Utilization Survey, respectively. Significance of cross-correlation and Pearson correlation analysis as indicated by p value. There were several highly significant cross-correlation relationships between search volume and various economic indicators. Correlation between Google search volume for the term 'sperm donation,' 'egg donation,' and 'blood donation' with actual number of sperm, egg and blood donations in the United States demonstrated Pearson correlation coefficients of 0.2 (p > 0.10), -0.1 (p > 0.10), and 0.07 (p > 0.10), respectively. Temporal analysis showed an improved correlation coefficient of 0.9 (p Google search volume. Google search volume data for search terms relating to sperm, egg, and blood donation increase during economic downturns. This finding suggests gamete and bodily fluid donations are influenced by market forces like other commodities. Google search may be useful for predicting blood donation trends but is more limited in predicting actual

  20. [Google Scholar and the h-index in biomedicine: the popularization of bibliometric assessment].

    Science.gov (United States)

    Cabezas-Clavijo, A; Delgado-López-Cózar, E

    2013-01-01

    The aim of this study is to review the features, benefits and limitations of the new scientific evaluation products derived from Google Scholar, such as Google Scholar Metrics and Google Scholar Citations, as well as the h-index, which is the standard bibliometric indicator adopted by these services. The study also outlines the potential of this new database as a source for studies in Biomedicine, and compares the h-index obtained by the most relevant journals and researchers in the field of intensive care medicine, based on data extracted from the Web of Science, Scopus and Google Scholar. Results show that although the average h-index values in Google Scholar are almost 30% higher than those obtained in Web of Science, and about 15% higher than those collected by Scopus, there are no substantial changes in the rankings generated from one data source or the other. Despite some technical problems, it is concluded that Google Scholar is a valid tool for researchers in Health Sciences, both for purposes of information retrieval and for the computation of bibliometric indicators. Copyright © 2012 Elsevier España, S.L. and SEMICYUC. All rights reserved.

  1. Novel data sources for women's health research: mapping breast screening online information seeking through Google trends.

    Science.gov (United States)

    Fazeli Dehkordy, Soudabeh; Carlos, Ruth C; Hall, Kelli S; Dalton, Vanessa K

    2014-09-01

    Millions of people use online search engines everyday to find health-related information and voluntarily share their personal health status and behaviors in various Web sites. Thus, data from tracking of online information seeker's behavior offer potential opportunities for use in public health surveillance and research. Google Trends is a feature of Google which allows Internet users to graph the frequency of searches for a single term or phrase over time or by geographic region. We used Google Trends to describe patterns of information-seeking behavior in the subject of dense breasts and to examine their correlation with the passage or introduction of dense breast notification legislation. To capture the temporal variations of information seeking about dense breasts, the Web search query "dense breast" was entered in the Google Trends tool. We then mapped the dates of legislative actions regarding dense breasts that received widespread coverage in the lay media to information-seeking trends about dense breasts over time. Newsworthy events and legislative actions appear to correlate well with peaks in search volume of "dense breast". Geographic regions with the highest search volumes have passed, denied, or are currently considering the dense breast legislation. Our study demonstrated that any legislative action and respective news coverage correlate with increase in information seeking for "dense breast" on Google, suggesting that Google Trends has the potential to serve as a data source for policy-relevant research. Copyright © 2014 AUR. Published by Elsevier Inc. All rights reserved.

  2. Google Scholar på godt og vondt

    Directory of Open Access Journals (Sweden)

    Even Hartmann Flood

    2012-09-01

    • GS dekker bøker og kapitler i bøker.  Ikke alltid full tekst, men med siteringer til arbeidene og bøkene kommer ut med siteringstall. • Andre grunn: GS søker full tekst i artiklene de dekker. Det er mye kraftigere søk enn tradisjonelle databaser hvor emnesøk bare er i tittel, sammendrag og emneord.  Dette gjør det mulig å søke mye mer spesifikt. GS finner på den måten artikler som også er i de andre basene, men som ikke kommer ut i søket. I tillegg til dette: GS har ofte lenker til gratis utgaver av artikler som er publisert i vitenskapelige tidsskrifter, og som kan være lagt ut på åpne arkiv. Brukere får dermed artikler gratis som andre baser gjemmer innenfor betalingsmur. Advarsel: De lenkene kan være dårlige. De dårlige sidene: GS har problemer med artikler som er svært like, de bibliografiske detaljene holdes ikke adskilt. Et av de store ankepunktene mot GS er metadataene og GS manglende bruk av disse, som er et hovedpunkt i Peter Jacsos artikkel fra 2010: Péter Jacsó, (2010 "Metadata mega mess in Google Scholar", Online Information Review, Vol. 34 Iss: 1, pp.175 - 191 Forfatterinformasjon var spesielt sårbart. Alt mulig av overskrifter endte som forfattere: Tables, results var meget populære navn. Disse «ghost authors» er et viktig punkt i artikkelen hans. Jacso hadde mange gode eksempler i 2010. Siden er mye blitt bedre, men det er fremdeles problemer. Jacso nevner nesten en million treff på forfatteren «f Password».  Nå er det ingen.  Det er heller ingen arbeider av «Please login», det var mange.  Nå er det 893 arbeider av «background», det var 13 200. GS tar også mange felt som ser ut som årstall og putter inn i feltet for det.  GS har pr. mai 2012 1580 arbeider publisert senere enn 2015(!. Konklusjon: GS er til tross for en del svakheter et meget godt, og i mange tilfelle unikt hjelpemiddel for å finne den beste informasjonen, og må brukes i tillegg til de mer tradisjonelle databasene.

  3. Browsing the fusion data in a Google map way

    International Nuclear Information System (INIS)

    Song, Xianming; Pan, W.; Chen, L.; Song, Xiao; Pan, L.; Luo, C.; Zhang, G.

    2015-01-01

    Full text of publication follows. How to access the ITER data is still an open issue. Concepts from KSTAR(1), W7X(2), EAST(3), and DIIID(4) have been presented. In this paper, a new web application to browse the fusion data in a Google map way is demonstrated on HL-2A database. This dynamic and interactive web application can run in any popular browser(IE, safari, Firefox, Opera), by any hardware (smart phone, PC, ipad, Mac) and operating system (ios, android, windows, linux, Mac OS). No any plug-ins is needed. The details of the framework for this web application are presented. The framework consists of three layers. The front top client layer is developed by Jquery code. The middle layer, which plays a role of a bridge to connect the server and client is developed by PHP code. The behind server layer is developed by Matlab, which responses any command from the front top client, retrieves the data from the HL-2A database, analyses and processes the data, and finally, returns the data to the client in client's favorite way. The way to browse and retrieve the fusion data is well welcomed by many researchers who access fusion data from many other machines. This way may apply to other machines, and present useful idea to the way for accessing ITER data in the future. References: 1) Kim, E.N., Web-based (HTML5) Interactive Graphics for Fusion Research and Collaboration, O4-2, 8. IAEA Technical Meeting on Control, Data Acquisition and Remote Participation for Fusion Research. June 20-24,2011, San Francisco, CA; 2)Davis, W.M., Easy Web Interfaces to IDL Code for NSTX Data Analysis Progress on Standardization and Automation in Software Development on W7X, P2-1. 8. IAEA Technical Meeting on Control, Data Acquisition and Remote Participation for Fusion Research. June 20-24,2011, San Francisco, CA; 3) Yang, F., A Web Based MDSPLUS Data Analysis and Visualization System for EAST, P2-16. 8th IAEA Technical Meeting on Control, Data Acquisition and Remote Participation for

  4. Google's dead end, or: on Street View and the right to data protection: an analysis of Google Street View's compatibility with EU data protection law

    NARCIS (Netherlands)

    van der Sloot, B.; Zuiderveen Borgesius, F.J.

    2012-01-01

    May a company photograph the daily lives of people all over the world, store those photos, and publish them on the internet? This article assesses which obligations Google has to fulfil in order to respect the European data protection rules. The focus lies on three questions. First, which data

  5. POSIBILIDADES DE GOOGLE DRIVE PARA LA DOCENCIA A DISTANCIA Y EN EL AULA

    Directory of Open Access Journals (Sweden)

    EVA MARTÍN RODA

    2015-12-01

    Full Text Available  Resumen: Google Drive es una herramienta de libre acceso en la red, que posibilita la realización de trabajos en línea por parte de los usuarios al almacenarse los documentos en la nube. Dispone de instrumentos como procesador de texto, hojas de cálculo, entre otros. La herramienta es además bastante completa, pues a través de Google Apps permite acceder a numerosas opciones para la labor docente pudiéndose crear tutoriales, grabar vídeos y clases; editar, diseñar y compartir imágenes desde cualquier dispositivo móvil y desde el propio Google drive.  Palabras clave: Google Drive, aprendizaje colaborativo, entorno virtual, educación universitaria. Summary: Google Drive is a free access tool available in the cloud, that allow to the users to do online works and store documents in the cloud. It offers tools such as word processing, spreadsheets, etc... This tool is also quite complete, with several options for teaching as it is possible to createtutorials, or this record videos and classes; edit, design and share pictures from any mobiledevice even from Google Drive. Keywords: Google Drive, collaborative learning, virtual environment, college education. Resumé: Google Drive est un serveur de libre accèsdans la toile, qui facilite auxusagers la réalisation de travaux en ligne grâce aux documents stockés dans le «nuage». Il dispose de plusieur soutilstels qu’unprocesseur de textes, des feuilles de calcul etc… L’outilest en plus assez complet, avec de nombre uses options pour la pratique de l’enseignement car il permet de créer des tutoriels, d’enregistrer des vidéos et des cours, d’éditer, de dessiner et de partager des images depuis n’importe quel dispositif portable ou sur Google Drive directement… Mots clés: Google Drive, apprentissage collaboratif, domaine virtuel, éducation universitaire. 

  6. Interpretation of Coronary Angiograms Recorded Using Google Glass: A Comparative Analysis.

    Science.gov (United States)

    Duong, Thao; Wosik, Jedrek; Christakopoulos, Georgios E; Martínez Parachini, José Roberto; Karatasakis, Aris; Tarar, Muhammad Nauman Javed; Resendes, Erica; Rangan, Bavana V; Roesle, Michele; Grodin, Jerrold; Abdullah, Shuaib M; Banerjee, Subhash; Brilakis, Emmanouil S

    2015-10-01

    Google Glass (Google, Inc) is a voice-activated, hands-free, optical head-mounted display device capable of taking pictures, recording videos, and transmitting data via wi-fi. In the present study, we examined the accuracy of coronary angiogram interpretation, recorded using Google Glass. Google Glass was used to record 15 angiograms with 17 major findings and the participants were asked to interpret those recordings on: (1) an iPad (Apple, Inc); or (2) a desktop computer. Interpretation was compared with the original angiograms viewed on a desktop. Ten physicians (2 interventional cardiologists and 8 cardiology fellows) participated. One point was assigned for each correct finding, for a maximum of 17 points. The mean angiogram interpretation score for Google Glass angiogram recordings viewed on an iPad or a desktop vs the original angiograms viewed on a desktop was 14.9 ± 1.1, 15.2 ± 1.8, and 15.9 ± 1.1, respectively (P=.06 between the iPad and the original angiograms, P=.51 between the iPad and recordings viewed on a desktop, and P=.43 between the recordings viewed on a desktop and the original angiograms). In a post-study survey, one of the 10 physicians (10%) was "neutral" with the quality of the recordings using Google Glass, 6 physicians (60%) were "somewhat satisfied," and 3 physicians (30%) were "very satisfied." This small pilot study suggests that the quality of coronary angiogram video recordings obtained using Google Glass may be adequate for recognition of major findings, supporting its expanding use in telemedicine.

  7. The use of google trends in health care research: a systematic review.

    Science.gov (United States)

    Nuti, Sudhakar V; Wayda, Brian; Ranasinghe, Isuru; Wang, Sisi; Dreyer, Rachel P; Chen, Serene I; Murugiah, Karthik

    2014-01-01

    Google Trends is a novel, freely accessible tool that allows users to interact with Internet search data, which may provide deep insights into population behavior and health-related phenomena. However, there is limited knowledge about its potential uses and limitations. We therefore systematically reviewed health care literature using Google Trends to classify articles by topic and study aim; evaluate the methodology and validation of the tool; and address limitations for its use in research. PRISMA guidelines were followed. Two independent reviewers systematically identified studies utilizing Google Trends for health care research from MEDLINE and PubMed. Seventy studies met our inclusion criteria. Google Trends publications increased seven-fold from 2009 to 2013. Studies were classified into four topic domains: infectious disease (27% of articles), mental health and substance use (24%), other non-communicable diseases (16%), and general population behavior (33%). By use, 27% of articles utilized Google Trends for casual inference, 39% for description, and 34% for surveillance. Among surveillance studies, 92% were validated against a reference standard data source, and 80% of studies using correlation had a correlation statistic ≥0.70. Overall, 67% of articles provided a rationale for their search input. However, only 7% of articles were reproducible based on complete documentation of search strategy. We present a checklist to facilitate appropriate methodological documentation for future studies. A limitation of the study is the challenge of classifying heterogeneous studies utilizing a novel data source. Google Trends is being used to study health phenomena in a variety of topic domains in myriad ways. However, poor documentation of methods precludes the reproducibility of the findings. Such documentation would enable other researchers to determine the consistency of results provided by Google Trends for a well-specified query over time. Furthermore, greater

  8. Assessing species distribution using Google Street View: a pilot study with the Pine Processionary Moth.

    Science.gov (United States)

    Rousselet, Jérôme; Imbert, Charles-Edouard; Dekri, Anissa; Garcia, Jacques; Goussard, Francis; Vincent, Bruno; Denux, Olivier; Robinet, Christelle; Dorkeld, Franck; Roques, Alain; Rossi, Jean-Pierre

    2013-01-01

    Mapping species spatial distribution using spatial inference and prediction requires a lot of data. Occurrence data are generally not easily available from the literature and are very time-consuming to collect in the field. For that reason, we designed a survey to explore to which extent large-scale databases such as Google maps and Google Street View could be used to derive valid occurrence data. We worked with the Pine Processionary Moth (PPM) Thaumetopoea pityocampa because the larvae of that moth build silk nests that are easily visible. The presence of the species at one location can therefore be inferred from visual records derived from the panoramic views available from Google Street View. We designed a standardized procedure allowing evaluating the presence of the PPM on a sampling grid covering the landscape under study. The outputs were compared to field data. We investigated two landscapes using grids of different extent and mesh size. Data derived from Google Street View were highly similar to field data in the large-scale analysis based on a square grid with a mesh of 16 km (96% of matching records). Using a 2 km mesh size led to a strong divergence between field and Google-derived data (46% of matching records). We conclude that Google database might provide useful occurrence data for mapping the distribution of species which presence can be visually evaluated such as the PPM. However, the accuracy of the output strongly depends on the spatial scales considered and on the sampling grid used. Other factors such as the coverage of Google Street View network with regards to sampling grid size and the spatial distribution of host trees with regards to road network may also be determinant.

  9. Earth mortars and earth-lime renders

    Directory of Open Access Journals (Sweden)

    Maria Fernandes

    2008-01-01

    Full Text Available Earth surface coatings play a decorative architectural role, apart from their function as wall protection. In Portuguese vernacular architecture, earth mortars were usually applied on stone masonry, while earth renders and plasters were used on indoors surface coatings. Limestone exists only in certain areas of the country and consequently lime was not easily available everywhere, especially on granite and schist regions where stone masonry was a current building technique. In the central west coast of Portugal, the lime slaking procedure entailed slaking the quicklime mixed with earth (sandy soil, in a pit; the resulting mixture would then be combined in a mortar or plaster. This was also the procedure for manufactured adobes stabilized with lime. Adobe buildings with earth-lime renderings and plasters were also traditional in the same region, using lime putty and lime wash for final coat and decoration. Classic decoration on earth architecture from the 18th-19th century was in many countries a consequence of the François Cointeraux (1740-1830 manuals - Les Cahiers d'Architecture Rurale" (1793 - a French guide for earth architecture and building construction. This manual arrived to Portugal in the beginning of XIX century, but was never translated to Portuguese. References about decoration for earth houses were explained on this manual, as well as procedures about earth-lime renders and ornamentation of earth walls; in fact, these procedures are exactly the same as the ones used in adobe buildings in this Portuguese region. The specific purpose of the present paper is to show some cases of earth mortars, renders and plasters on stone buildings in Portugal and to explain the methods of producing earth-lime renders, and also to show some examples of rendering and coating with earth-lime in Portuguese adobe vernacular architecture.

  10. Near Earth Objects

    DEFF Research Database (Denmark)

    Wolff, Stefan

    2006-01-01

    , Near Earth Objects: Asteroids and comets following paths that bring them near the Earth. NEOs have collided with the Earth since its formation, some causing local devastation, some causing global climate changes, yet the threat from a collision with a near Earth object has only recently been recognised...

  11. Google trends: a web-based tool for real-time surveillance of disease outbreaks.

    Science.gov (United States)

    Carneiro, Herman Anthony; Mylonakis, Eleftherios

    2009-11-15

    Google Flu Trends can detect regional outbreaks of influenza 7-10 days before conventional Centers for Disease Control and Prevention surveillance systems. We describe the Google Trends tool, explain how the data are processed, present examples, and discuss its strengths and limitations. Google Trends shows great promise as a timely, robust, and sensitive surveillance system. It is best used for surveillance of epidemics and diseases with high prevalences and is currently better suited to track disease activity in developed countries, because to be most effective, it requires large populations of Web search users. Spikes in search volume are currently hard to interpret but have the benefit of increasing vigilance. Google should work with public health care practitioners to develop specialized tools, using Google Flu Trends as a blueprint, to track infectious diseases. Suitable Web search query proxies for diseases need to be established for specialized tools or syndromic surveillance. This unique and innovative technology takes us one step closer to true real-time outbreak surveillance.

  12. Google Translate as a Supplementary Tool for Learning Malay: A Case Study at Universiti Sains Malaysia

    Directory of Open Access Journals (Sweden)

    Hossein Bahri

    2016-06-01

    Full Text Available The present paper examines the use of Google Translate as a supplementary tool for helping international students at Universiti Sains Malaysia (USM to learn and develop their knowledge and skills in learning Bahasa Malaysia (Malay Language. The participants of the study were 16 international students at the School of Languages, Literacies, and Translation, USM who had registered for the LKM 100 Bahasa Malaysia (I course. Based on the literature review, analysis of the collected data, and an assessment of the course content and activities inside and outside the language classroom, the findings suggest that most international students at USM recognize Google Translate as an effective supplementary tool for learning vocabulary, writing, and reading in Bahasa Malaysia. In fact, some students reported that they could optimally benefit from their self-learning if they were assisted to use Google Translate effectively. Moreover, using Google Translate for doing classroom tasks and activities can encourage students to study independently, and to shape their own strategies for solving language learning problems. Keywords: Google Translate, supplementary tool, translation, language learning, Bahasa Malaysia

  13. LGscore: A method to identify disease-related genes using biological literature and Google data.

    Science.gov (United States)

    Kim, Jeongwoo; Kim, Hyunjin; Yoon, Youngmi; Park, Sanghyun

    2015-04-01

    Since the genome project in 1990s, a number of studies associated with genes have been conducted and researchers have confirmed that genes are involved in disease. For this reason, the identification of the relationships between diseases and genes is important in biology. We propose a method called LGscore, which identifies disease-related genes using Google data and literature data. To implement this method, first, we construct a disease-related gene network using text-mining results. We then extract gene-gene interactions based on co-occurrences in abstract data obtained from PubMed, and calculate the weights of edges in the gene network by means of Z-scoring. The weights contain two values: the frequency and the Google search results. The frequency value is extracted from literature data, and the Google search result is obtained using Google. We assign a score to each gene through a network analysis. We assume that genes with a large number of links and numerous Google search results and frequency values are more likely to be involved in disease. For validation, we investigated the top 20 inferred genes for five different diseases using answer sets. The answer sets comprised six databases that contain information on disease-gene relationships. We identified a significant number of disease-related genes as well as candidate genes for Alzheimer's disease, diabetes, colon cancer, lung cancer, and prostate cancer. Our method was up to 40% more accurate than existing methods. Copyright © 2015 Elsevier Inc. All rights reserved.

  14. Mapping Above-Ground Biomass in a Tropical Forest in Cambodia Using Canopy Textures Derived from Google Earth

    OpenAIRE

    Singh, Minerva; Evans, Damian; Friess, Daniel; Tan, Boun; Nin, Chan

    2015-01-01

    This study develops a modelling framework for utilizing very high-resolution (VHR) aerial imagery for monitoring stocks of above-ground biomass (AGB) in a tropical forest in Southeast Asia. Three different texture-based methods (grey level co-occurrence metric (GLCM), Gabor wavelets and Fourier-based textural ordination (FOTO)) were used in conjunction with two different machine learning (ML)-based regression techniques (support vector regression (SVR) and random forest (RF) regression). Thes...

  15. An Investigation of Distributed Schema Free Tabular Data Storage Technologies on Google App Engine and Microsoft Azure

    OpenAIRE

    McGrath, Conor; Clynch, Gary

    2012-01-01

    This paper examines schema free non-relational tabular storage for two important emerging Platform as a Service (PaaS) environments, where Google App Engine applications persist data to the Google Datastore, and Microsoft Azure applications store data in Azure Tables. A simple mobile web application was initially developed for both platforms, to understand how an application could be developed and deployed. Java Data Objects (JDO) was selected for Google App Engine and Windows Communication F...

  16. Freedom of expression and ‘right to be forgotten’ cases in the Netherlands after Google Spain

    OpenAIRE

    Kulk, S.

    2015-01-01

    Since the Google Spain judgment of the Court of Justice of the European Union, Europeans have, under certain conditions, the right to have search results for their name delisted. This paper examines how the Google Spain judgment has been applied in the Netherlands. Since the Google Spain judgment, Dutch courts have decided on two cases regarding delisting requests. In both cases, the Dutch courts considered freedom of expression aspects of delisting more thoroughly than the Court of Justice. ...

  17. EarthCache as a Tool to Promote Earth-Science in Public School Classrooms

    Science.gov (United States)

    Gochis, E. E.; Rose, W. I.; Klawiter, M.; Vye, E. C.; Engelmann, C. A.

    2011-12-01

    Geoscientists often find it difficult to bridge the gap in communication between university research and what is learned in the public schools. Today's schools operate in a high stakes environment that only allow instruction based on State and National Earth Science curriculum standards. These standards are often unknown by academics or are written in a style that obfuscates the transfer of emerging scientific research to students in the classroom. Earth Science teachers are in an ideal position to make this link because they have a background in science as well as a solid understanding of the required curriculum standards for their grade and the pedagogical expertise to pass on new information to their students. As part of the Michigan Teacher Excellence Program (MiTEP), teachers from Grand Rapids, Kalamazoo, and Jackson school districts participate in 2 week field courses with Michigan Tech University to learn from earth science experts about how the earth works. This course connects Earth Science Literacy Principles' Big Ideas and common student misconceptions with standards-based education. During the 2011 field course, we developed and began to implement a three-phase EarthCache model that will provide a geospatial interactive medium for teachers to translate the material they learn in the field to the students in their standards based classrooms. MiTEP participants use GPS and Google Earth to navigate to Michigan sites of geo-significance. At each location academic experts aide participants in making scientific observations about the locations' geologic features, and "reading the rocks" methodology to interpret the area's geologic history. The participants are then expected to develop their own EarthCache site to be used as pedagogical tool bridging the gap between standards-based classroom learning, contemporary research and unique outdoor field experiences. The final phase supports teachers in integrating inquiry based, higher-level learning student

  18. Google Appsin hyödyt ja haitat yrityksessä

    OpenAIRE

    Vähäkari, Kalle

    2014-01-01

    Tämän tutkimuksellisen opinnäytetyön aiheena on tutkia Googlen yrityksille suunnatun Google Apps – paketin hyötyjä ja haittoja grafiikka-alan yrityksen käytössä. Paketti on laajassa käytössä yrityksen jokapäiväisessä viestinnässä. Työn tarkoituksena on tarkastella, täyttääkö Google Apps tehtävänsä yrityksen liiketoiminnassa. Google Apps on Googlen tarjoama ohjelmistopaketti, joka mahdollistaa toimistosovellusten käytön liikkuvassa ympäristössä. Kohdeyritys on suuri kansainvälinen korpora...

  19. 360-MAM-Affect: Sentiment Analysis with the Google Prediction API and EmoSenticNet

    Directory of Open Access Journals (Sweden)

    Eleanor Mulholland

    2015-08-01

    Full Text Available Online recommender systems are useful for media asset management where they select the best content from a set of media assets. We have developed an architecture for 360-MAM- Select, a recommender system for educational video content. 360-MAM-Select will utilise sentiment analysis and gamification techniques for the recommendation of media assets. 360-MAM-Select will increase user participation with digital content through improved video recommendations. Here, we discuss the architecture of 360-MAM-Select and the use of the Google Prediction API and EmoSenticNet for 360-MAM-Affect, 360-MAM-Select's sentiment analysis module. Results from testing two models for sentiment analysis, Sentiment Classifier (Google Prediction API and EmoSenticNetClassifer (Google Prediction API + EmoSenticNet are promising. Future work includes the implementation and testing of 360-MAM-Select on video data from YouTube EDU and Head Squeeze.

  20. Variation in number of hits for complex searches in Google Scholar

    Directory of Open Access Journals (Sweden)

    Wichor Matthijs Bramer, BSc

    2016-11-01

    Full Text Available Objective: Google Scholar is often used to search for medical literature. Numbers of results reported by Google Scholar outperform the numbers reported by traditional databases. How reliable are these numbers? Why are often not all available 1,000 references shown? Methods: For several complex search strategies used in systematic review projects, the number of citations and the total number of versions were calculated. Several search strategies were followed over a two-year period, registering fluctuations in reported search results. Results: Changes in numbers of reported search results varied enormously between search strategies and dates. Theories for calculations of the reported and shown number of hits were not proved. Conclusions: The number of hits reported in Google Scholar is an unreliable measure. Therefore, its repeatability is problematic, at least when equal results are needed.