WorldWideScience

Sample records for survey geographic ssurgo

  1. Soil Survey Geographic (SSURGO) - Magnesic Soils

    Data.gov (United States)

    California Department of Resources — Magnesic soils is a subset of the SSURGO dataset containing soil family selected based on the magnesic content and serpentinite parent material. The following soil...

  2. Soil Survey Geographic (SSURGO) database for Torrance Area, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  3. Soil Survey Geographic (SSURGO) database for Colfax County, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  4. Soil Survey Geographic (SSURGO) database for Eddy Area, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  5. Soil Survey Geographic (SSURGO) database for Otero Area, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  6. Soil Survey Geographic (SSURGO) database for Guadalupe County, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  7. Soils - Soil Survey Geographic (SSURGO) Data for Montana

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — These data sets are digital soil surveys and generally are the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  8. Soil Survey Geographic (SSURGO) database for Union County, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  9. Soil Survey Geographic (SSURGO) - Kinds and Distribution of Soils

    Data.gov (United States)

    California Department of Resources — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  10. Soil Survey Geographic (SSURGO) database for Lea County, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  11. Soil Survey Geographic (SSURGO) database for Roosevelt County, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  12. Soil Survey Geographic (SSURGO) database for Hidalgo County, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  13. Soil Survey Geographic (SSURGO) database for Harding County, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  14. Soil Survey Geographic (SSURGO) database for Luna County, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  15. Soil Survey Geographic (SSURGO) database for Socorro County Area, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  16. Soil Survey Geographic (SSURGO) database for Mora County Area, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  17. Soil Survey Geographic (SSURGO) database for Santa Fe County, Area New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  18. Soil Survey Geographic (SSURGO) database for Chaves County, New Mexico, Northern Part

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  19. Soil Survey Geographic (SSURGO) database for Tucumcari Area, Northern Quay County, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  20. Soil Survey Geographic (SSURGO) database for Cabezon Area, New Mexico (Sandoval County, New Mexico)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  1. Soil Survey Geographic (SSURGO) database for Mescalero-Apache Area, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  2. Soil Survey Geographic (SSURGO) database for Grant County, Central and Southern Parts, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  3. Soil Survey Geographic (SSURGO) database for San Miguel County Area, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  4. Soil Survey Geographic (SSURGO) database for White Sands National Monument, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  5. Soil Survey Geographic (SSURGO) database for Catron County, New Mexico, Northern Part

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  6. Soil Survey Geographic (SSURGO) database for Dona Ana County Area, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  7. Soil Survey Geographic (SSURGO) database for Carson National Forest, New Mexico, Part of Rio Arriba County

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  8. Soil Survey Geographic (SSURGO) database for San Juan County, New Mexico, Eastern Part

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  9. Soil Survey Geographic (SSURGO) database for De Baca County Area, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  10. Soil Survey Geographic (SSURGO) database for Curry County and Southwest Part of Quay County, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  11. Soil Survey Geographic (SSURGO) database for Ute Mountain Area, Colorado and New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  12. Soil Survey Geographic (SSURGO) database for McKinley County Area, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  13. Soil Survey Geographic (SSURGO) database for Lincoln County Area, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  14. Soil Survey Geographic (SSURGO) database for Chaves County, New Mexico, Southern Part

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  15. Soil Survey Geographic (SSURGO) database for Fort Bliss Military Reservation, New Mexico and Texas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  16. Soil Survey Geographic (SSURGO) database for Sierra County Area, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  17. Soil Survey Geographic (SSURGO) database for Valencia County, New Mexico, Eastern Part

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  18. Soil Survey Geographic (SSURGO) database for Gila National Forest, New Mexico, Parts of Catron, Grant and Sierra Counties

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  19. Soil Survey Geographic (SSURGO) database for Sandoval County Area, New Mexico (Parts of Los Alamos, Sandoval and Rio Arriba Counties)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  20. Soil Survey Geographic (SSURGO) database for Taos County and Parts of Rio Arriba and Mora Counties, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  1. Soil Survey Geographic (SSURGO) database for Lincoln National Forest Area, New Mexico, Parts of Lincoln and Otero Counties

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  2. Soil Survey Geographic (SSURGO) database for Jicarilla Apache Nation, Parts of Rio Arriba and Sandoval Counties, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  3. Soil Survey Geographic (SSURGO) database for Rio Arriba Area, New Mexico, Parts of Rio Arriba and Sandoval Counties

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  4. Soil Survey Geographic (SSURGO) database for Cibola Area, New Mexico, Parts of Cibola, McKinley, and Valencia Counties

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  5. Soil Survey Geographic (SSURGO) database for Shiprock Area, Parts of San Juan County, New Mexico and Apache County, Arizona

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  6. Soil Survey Geographic (SSURGO) Special Point Features for the State of Rhode Island: Bristol, Kent, Newport, Providence, and Washington Counties

    Data.gov (United States)

    University of Rhode Island Geospatial Extension Program — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  7. Soil Survey Geographic (SSURGO) Special Line Features for the State of Rhode Island: Bristol, Kent, Newport, Providence, and Washington County

    Data.gov (United States)

    University of Rhode Island Geospatial Extension Program — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  8. Soil Survey Geographic (SSURGO) database for Bernalillo County and Parts of Sandoval and Valencia Counties, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  9. Soil Survey Geographic (SSURGO) Soil Polygons for the State of Rhode Island: Bristol, Kent, Newport, Providence, and Washington Counties

    Data.gov (United States)

    University of Rhode Island Geospatial Extension Program — 2013 VERSION 6 Spatial: This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative...

  10. SSURGO

    Data.gov (United States)

    Kansas Data Access and Support Center — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  11. SSURGO

    Data.gov (United States)

    Kansas Data Access and Support Center — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  12. Scale Effects of Geographical Soil Datasets on Soil Carbon Estimation in Louisiana, USA: A Comparison of STATSGO and SSURGO

    Institute of Scientific and Technical Information of China (English)

    B. ZHONG; Y. J. XU

    2011-01-01

    Estimation of soil organic carbon (SOC) pools and fluxes bears large uncertainties because SOC stocks vary greatly over geographical space and through time.Although development of the U.S.Soil Survey Geographic Database (SSURGO),currently the most detailed level with a map scale ranging from 1:12 000 to 1:63 360,has involved substantial government funds and coordinated network efforts,very few studies have utilized it for soil carbon assessment at the large landscape scale.The objectives of this study were to 1) compare estimates in soil organic matter among SSURGO,the State Soil Geographic Database (STATSGO),and referenced field measurements at the soil map unit; 2) examine the influence of missing data on SOC estimation by SSURGO and STATSGO; 3) quantify spatial differences in SOC estimation between SSURGO and STATSGO,specifically for the state of Louisiana; and 4) assess scale effects on soil organic carbon density (SOCD) estimates from a soil map unit to a watershed and a river basin scale.SOC was estimated using soil attributes of SSURGO and STATSGO including soil organic matter (SOM) content,soil layer depth,and bulk density.Paired t-test,correlation,and regression analyses were performed to investigate various relations of SOC and SOM among the datasets.There were positive relations of SOC estimates between SSURGO and STATSGO at the soil map unit (R2 = 0.56,n = 86,t = 1.65,P = 0.102; depth:30 cm).However,the SOC estimated by STATSGO were 9%,33% and 36% lower for the upper 30-cm,the upper l-m,and the maximal depth (up to 2.75 m) soils,respectively,than those from SSURGO.The difference tended to increase as the spatial scale changes from the soil map unit to the watershed and river basin scales.Compared with the referenced field measurements,the estimates in SOM by SSURGO showed a closer match than those of STATSGO,indicating that the former was more accurate than the latter in SOC estimation,both in spatial and temporal resolutions.Further applications

  13. Soil Survey Geographic (SSURGO) database for Cibola National Forest Area, New Mexico, Parts of Catron, Cibola, McKinley, Sandoval, Sierra and Socorro Counties

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  14. Soil Survey Geographic (SSURGO) database for Santa Fe National Forest Area, New Mexico, Parts of Mora, Rio Arriba, Sandoval and San Miguel Counties

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  15. Soil Survey Geographic (SSURGO) database for Chinle Area, Parts of Apache and Navajo Counties, Arizona and San Juan County, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  16. Soil Survey Geographic (SSURGO) database for Fort Defiance Area, Parts of Apache and Navajo Counties, Arizona, and McKinley and San Juan Counties, New Mexico

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  17. Soil Survey Geographic (SSURGO) database for White Sands Missile Range, New Mexico, Parts of Dona Ana, Lincoln, Otero, Sierra and Socorro Counties

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The...

  18. Soils, SSURGO depicts information about the kinds and distribution of soils on the landscape. SSURGO is prepared by soil scientists as part of the National Cooperative Soil Survey. SSURGO is by Soil Survey Area, and is not complete statewide. Production Data, Published in unknown, 1:24000 (1in=2000ft) scale, USDA-Natural Resources Conservation Service.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Soils dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Field Observation information as of unknown. It is described as 'SSURGO...

  19. Geographic profiling survey

    NARCIS (Netherlands)

    Emeno, Karla; Bennell, Craig; Snook, Brent; Taylor, Paul Jonathon

    Geographic profiling (GP) is an investigative technique that involves predicting a serial offender?s home location (or some other anchor point) based on where he or she committed a crime. Although the use of GP in police investigations appears to be on the rise, little is known about the procedure

  20. Mapping grassland productivity with 250-m eMODIS NDVI and SSURGO database over the Greater Platte River Basin, USA

    Science.gov (United States)

    Gu, Yingxin; Wylie, Bruce K.; Bliss, Norman B.

    2013-01-01

    This study assessed and described a relationship between satellite-derived growing season averaged Normalized Difference Vegetation Index (NDVI) and annual productivity for grasslands within the Greater Platte River Basin (GPRB) of the United States. We compared growing season averaged NDVI (GSN) with Soil Survey Geographic (SSURGO) database rangeland productivity and flux tower Gross Primary Productivity (GPP) for grassland areas. The GSN was calculated for each of nine years (2000–2008) using the 7-day composite 250-m eMODIS (expedited Moderate Resolution Imaging Spectroradiometer) NDVI data. Strong correlations exist between the nine-year mean GSN (MGSN) and SSURGO annual productivity for grasslands (R2 = 0.74 for approximately 8000 pixels randomly selected from eight homogeneous regions within the GPRB; R2 = 0.96 for the 14 cluster-averaged points). Results also reveal a strong correlation between GSN and flux tower growing season averaged GPP (R2 = 0.71). Finally, we developed an empirical equation to estimate grassland productivity based on the MGSN. Spatially explicit estimates of grassland productivity over the GPRB were generated, which improved the regional consistency of SSURGO grassland productivity data and can help scientists and land managers to better understand the actual biophysical and ecological characteristics of grassland systems in the GPRB. This final estimated grassland production map can also be used as an input for biogeochemical, ecological, and climate change models.

  1. Significance of exchanging SSURGO and STATSGO data when modeling hydrology in diverse physiographic terranes

    Science.gov (United States)

    Williamson, Tanja N.; Taylor, Charles J.; Newson, Jeremy K.

    2013-01-01

    The Water Availability Tool for Environmental Resources (WATER) is a TOPMODEL-based hydrologic model that depends on spatially accurate soils data to function in diverse terranes. In Kentucky, this includes mountainous regions, karstic plateau, and alluvial plains. Soils data are critical because they quantify the space to store water, as well as how water moves through the soil to the stream during storm events. We compared how the model performs using two different sources of soils data--Soil Survey Geographic Database (SSURGO) and State Soil Geographic Database laboratory data (STATSGO)--for 21 basins ranging in size from 17 to 1564 km2. Model results were consistently better when SSURGO data were used, likely due to the higher field capacity, porosity, and available-water holding capacity, which cause the model to store more soil-water in the landscape and improve streamflow estimates for both low- and high-flow conditions. In addition, there were significant differences in the conductivity multiplier and scaling parameter values that describe how water moves vertically and laterally, respectively, as quantified by TOPMODEL. We also evaluated whether partitioning areas that drain to streams via sinkholes in karstic basins as separate hydrologic modeling units (HMUs) improved model performance. There were significant differences between HMUs in properties that control soil-water storage in the model, although the effect of partitioning these HMUs on streamflow simulation was inconclusive.

  2. National Park Service - SRI - Soil Survey Geographic (SSURGO) for National Park Service Units (A-C TEST)

    Data.gov (United States)

    National Park Service, Department of the Interior — This data set was developed in conjunction with the U.S. Department of Agriculture, Natural Resources Conservation Service, and meets the standards and...

  3. Geographical information modelling for land resource survey

    NARCIS (Netherlands)

    Bruin, de S.

    2000-01-01

    The increasing popularity of geographical information systems (GIS) has at least three major implications for land resources survey. Firstly, GIS allows alternative and richer representation of spatial phenomena than is possible with the traditional paper map. Secondly, digital technology has improv

  4. The Structural Geographic Components of a Territorial Survey

    Directory of Open Access Journals (Sweden)

    POMPEI COCEAN

    2006-01-01

    Full Text Available When using regional geographic approaches, i.e. when applying its concepts to the problems of anthropic communities from a certain territory, is compulsory. In this study we have taken into account the complex and the etymologically adequate meaning of the notion and not the meaning most commonly used at present (i.e. the functional zoning and regionalisation of the territory. Relying on the estimations of territorial surveys, one may give the solutions for the extant malfunctions and for optimising future developments. The geographic components of this parameter (the territorial survey are: the natural support basis, the population and its settlements, the social and economic development level, the technical equipment of the territory, and the extant risks and malfunctions. Indices from 1 to 10 will be summed in order to give us the big picture, namely the present-day situation and the favourability level of that territory for various anthropic interventions.

  5. A survey on the geographic scope of textual documents

    Science.gov (United States)

    Monteiro, Bruno R.; Davis, Clodoveu A.; Fonseca, Fred

    2016-11-01

    Recognizing references to places in texts is needed in many applications, such as search engines, location-based social media and document classification. In this paper we present a survey of methods and techniques for the recognition and identification of places referenced in texts. We discuss concepts and terminology, and propose a classification of the solutions given in the literature. We introduce a definition of the Geographic Scope Resolution (GSR) problem, dividing it in three steps: geoparsing, reference resolution, and grounding references. Solutions to the first two steps are organized according to the method used, and solutions to the third step are organized according to the type of output produced. We found that it is difficult to compare existing solutions directly to one another, because they often create their own benchmarking data, targeted to their own problem.

  6. Improving the design of amphibian surveys using soil data: A case study in two wilderness areas

    Science.gov (United States)

    Bowen, K.D.; Beever, E.A.; Gafvert, U.B.

    2009-01-01

    Amphibian populations are known, or thought to be, declining worldwide. Although protected natural areas may act as reservoirs of biological integrity and serve as benchmarks for comparison with unprotected areas, they are not immune from population declines and extinctions and should be monitored. Unfortunately, identifying survey sites and performing long-term fieldwork within such (often remote) areas involves a special set of problems. We used the USDA Natural Resource Conservation Service Soil Survey Geographic (SSURGO) Database to identify, a priori, potential habitat for aquatic-breeding amphibians on North and South Manitou Islands, Sleeping Bear Dunes National Lakeshore, Michigan, and compared the results to those obtained using National Wetland Inventory (NWI) data. The SSURGO approach identified more target sites for surveys than the NWI approach, and it identified more small and ephemeral wetlands. Field surveys used a combination of daytime call surveys, night-time call surveys, and perimeter surveys. We found that sites that would not have been identified with NWI data often contained amphibians and, in one case, contained wetland-breeding species that would not have been found using NWI data. Our technique allows for easy a priori identification of numerous survey sites that might not be identified using other sources of spatial information. We recognize, however, that the most effective site identification and survey techniques will likely use a combination of methods in addition to those described here.

  7. Public Land Survey System of Louisiana, Geographic NAD83, USGS (2003) [plss_la_usgs_2003

    Data.gov (United States)

    Louisiana Geographic Information Center — This data set portrays the Public Land Surveys of the United States, including areas of private survey, Donation Land Claims, and Land Grants and Civil Colonies....

  8. Geographical variation in radiological services: a nationwide survey

    Directory of Open Access Journals (Sweden)

    Børretzen Ingelin

    2007-02-01

    Full Text Available Abstract Background Geographical variation in health care services challenges the basic principle of fair allocation of health care resources. This study aimed to investigate geographical variation in the use of X-ray, CT, MRI and Ultrasound examinations in Norway, the contribution from public and private institutions, and the impact of accessibility and socioeconomic factors on variation in examination rates. Methods A nationwide survey of activity in all radiological institutions for the year 2002 was used to compare the rates per thousand of examinations in the counties. The data format was files/printouts where the examinations were recorded according to a code system. Results Overall rates per thousand of radiological examinations varied by a factor of 2.4. The use of MRI varied from 170 to 2, and CT from 216 to 56 examinations per 1000 inhabitants. Single MRI examinations (knee, cervical spine and head/brain ranged high in variation, as did certain other spine examinations. For examination of specific organs, the counties' use of one modality was positively correlated with the use of other modalities. Private institutions accounted for 28% of all examinations, and tended towards performing a higher proportion of single examinations with high variability. Indicators of accessibility correlated positively to variation in examination rates, partly due to the figures from the county of Oslo. Correlations between examination rates and socioeconomic factors were also highly influenced by the figures from this county. Conclusion The counties use of radiological services varied substantially, especially CT and MRI examinations. A likely cause of the variation is differences in accessibility. The coexistence of public and private institutions may be a source of variability, along with socioeconomic factors. The findings represent a challenge to the objective of equality in access to health care services, and indicate a potential for better

  9. Gulf-Wide Information System, Environmental Sensitivity Index Survey Boundaries, Geographic NAD83, LDWF (2001) [esi_survey_LDWF_2001

    Data.gov (United States)

    Louisiana Geographic Information Center — This data set contains vector polygons representing survey boundaries for the various data collection efforts used as sources in the larger Louisiana G-WIS database....

  10. Geographic Names

    Data.gov (United States)

    Minnesota Department of Natural Resources — The Geographic Names Information System (GNIS), developed by the United States Geological Survey in cooperation with the U.S. Board of Geographic Names, provides...

  11. Geographic Information System mapping as a tool to assess nonresponse bias in survey research.

    Science.gov (United States)

    Hansen, Richard A; Henley, Amanda Clarke; Brouwer, Emily S; Oraefo, Adaora N; Roth, Mary T

    2007-09-01

    Surveys are a useful tool for assessing professional practice patterns, although declining response rates have caused concern over external validity. This is particularly relevant to Web-based surveys, where response rates traditionally have been lower than with paper mail surveys. In a 2005 survey of North Carolina community pharmacy managers using a Web-based data collection instrument, we achieved an overall response rate of 23%. To explore nonresponse bias using accepted methods and to test whether Geographic Information System mapping is a useful tool for assessing response bias. Cross-sectional survey of 1593 community pharmacy managers in North Carolina using a Web-based tool. Nonresponse bias was assessed quantitatively by comparing early responders with late responders (ie, wave analysis) and by comparing respondents with nonrespondents with regard to known pharmacy, pharmacist, and population characteristics. Significant variables from these analyses were then mapped using ArcGIS 9.1. Pharmacy type was identified as a predictor of response, with independent pharmacies less likely to respond than chain pharmacies (odds ratio 0.75; 95% confidence interval 0.59-0.95). This conclusion was consistent in the wave analysis and the analysis of known population characteristics. Other county-level variables such as the number of physicians per capita, income, and the percentage of residents eligible for Medicaid showed trends but were not statistically significant (Ppharmacy type but trends were more difficult to detect for statistically insignificant trends. The best way to avoid nonresponse bias is to improve response rates. When this is not possible, Geographic Information System mapping has some utility for assessing nonresponse bias, and for aggregating known population characteristics based on location. It is most useful in conjunction with other accepted techniques such as wave analysis and analysis of known population characteristics.

  12. Geographic information technology monitoring and mapping of coal fires in Ukraine, according to the space survey

    Energy Technology Data Exchange (ETDEWEB)

    Pivnyak, G.; Busygin, B.; Garkusha, I. [National Mining Univ., Dnipropetrovsk (Ukraine)

    2010-07-01

    Coal fires are a significant problem around the world, particularly in China, India, and the United States. Coal fires burn thousands of tons of coal reserves and lead to serious problems for the environment, degradation and destruction of landscape, and harm public health. Technology, such as spectrology analysis of signatures with high temperature activity can be used to calculate vegetation algorithms and soil indexes, and multispectral survey data in the thermal channels of scanners. This paper presented the perspectives of technology development in coal fires and the approach to the detection, monitoring, and quantitative estimation of coal fires by the instruments using geographic information systems. Specifically, the paper considered the use of coal fire fragment monitoring technology from data of a diachronous survey obtained by Landsat satellites, to classify dangerous coal waste banks of the Donbass Mine located in Ukraine. The paper provided a description of the study area and discussed the detection technology of temperature-active waste banks. It was concluded that geoinformation technology provides an opportunity to effectively mark mining dumps, in particular, waste banks in multispectrum space images made by Landsat satellites. 7 refs., 6 figs.

  13. Inequalities in healthy life expectancy by Brazilian geographic regions: findings from the National Health Survey, 2013.

    Science.gov (United States)

    Szwarcwald, Célia Landmann; Souza Júnior, Paulo Roberto Borges de; Marques, Aline Pinto; Almeida, Wanessa da Silva de; Montilla, Dalia Elena Romero

    2016-11-17

    The demographic shift and epidemiologic transition in Brazil have drawn attention to ways of measuring population health that complement studies of mortality. In this paper, we investigate regional differences in healthy life expectancy based on information from the National Health Survey (PNS), 2013. In the survey, a three-stage cluster sampling (census tracts, households and individuals) with stratification of the primary sampling units and random selection in all stages was used to select 60,202 Brazilian adults (18 years and over). Healthy life expectancies (HLE) were estimated by Sullivan's method according to sex, age and geographic region, using poor self-rated health for defining unhealthy status. Logistic regression models were used to investigate socioeconomic and regional inequalities in poor self-rated health, after controlling by sex and age. Wide disparities by geographic region were found with the worst indicators in the North and Northeast regions, whether considering educational attainment, material deprivation, or health care utilization. Life expectancy at birth for women and men living in the richest regions was 5 years longer than for those living in the less wealthy regions. Modeling the variation across regions for poor self-rated health, statistically significant effects (p < 0.001) were found for the North and Northeast when compared to the Southeast, even after controlling for age, sex, diagnosis of at least one non-communicable chronic disease, and schooling or socioeconomic class. Marked regional inequalities in HLE were found, with the loss of healthy life much higher among residents of the poorest regions, especially among the elderly. By combining data on self-rated health status and mortality in a single indicator, Healthy Life Expectancy, this study demonstrated the excess burden of poor health experienced by populations in the less wealthy regions of Brazil. To mitigate the effects of social exclusion, the development of strategies

  14. Multi-pipeline geographical information system based on high accuracy inertial surveys

    Energy Technology Data Exchange (ETDEWEB)

    Czyz, J.A.; Pettigrew, C. [BJ Pipeline Inspection Services, Calgary, AB (Canada); Pino, H.; Gomez, R. [Pemex Refinacion, Mexico City, (Mexico)

    2000-07-01

    The GIS system developed for the Pemex pipeline network in the Valley of Mexico was described. The system makes it possible to retrieve information on the precise location of pipelines and their features. It also displays their relative position to each other and other landmarks. It is useful in accurately identifying linear features. The system facilitates the management of various pipeline data. The UTM coordinates which are the basis of the geographical information system (GIS) were obtained from Geopig{sup R} inertial and caliper surveys which provided information on pipeline features and anomalies. The information was incorporated into the GIS along with metal loss data from past in-line inspections. The system is based on the ArcView{sup R} GIS Software with the ArcView 3D Analyst{sup TM} extension that makes it possible to view the cartography and pipeline data in 3D. One of the biggest advantages of the GIS system is that it stores a multitude of information from various pipelines into one database which is easy to manage and update. For example, it stores information on pipeline plan, profile, girth weld locations, dents, wall thickness, bending strains, metal loss and other features such as roads, buildings, political boundaries and hydrology. This makes it possible to detect defects and anomalies and helps to eliminate unnecessary excavations. It also helps to plan and schedule pipeline repairs. 7 refs., 7 figs.

  15. Sampling in health geography: reconciling geographical objectives and probabilistic methods. An example of a health survey in Vientiane (Lao PDR

    Directory of Open Access Journals (Sweden)

    Bochaton Audrey

    2007-06-01

    Full Text Available Abstract Background Geographical objectives and probabilistic methods are difficult to reconcile in a unique health survey. Probabilistic methods focus on individuals to provide estimates of a variable's prevalence with a certain precision, while geographical approaches emphasise the selection of specific areas to study interactions between spatial characteristics and health outcomes. A sample selected from a small number of specific areas creates statistical challenges: the observations are not independent at the local level, and this results in poor statistical validity at the global level. Therefore, it is difficult to construct a sample that is appropriate for both geographical and probability methods. Methods We used a two-stage selection procedure with a first non-random stage of selection of clusters. Instead of randomly selecting clusters, we deliberately chose a group of clusters, which as a whole would contain all the variation in health measures in the population. As there was no health information available before the survey, we selected a priori determinants that can influence the spatial homogeneity of the health characteristics. This method yields a distribution of variables in the sample that closely resembles that in the overall population, something that cannot be guaranteed with randomly-selected clusters, especially if the number of selected clusters is small. In this way, we were able to survey specific areas while minimising design effects and maximising statistical precision. Application We applied this strategy in a health survey carried out in Vientiane, Lao People's Democratic Republic. We selected well-known health determinants with unequal spatial distribution within the city: nationality and literacy. We deliberately selected a combination of clusters whose distribution of nationality and literacy is similar to the distribution in the general population. Conclusion This paper describes the conceptual reasoning behind

  16. [Application of globe geographical positioning with wireless communication monitoring and supervision system in field survey on the endemic of schistosomiasis].

    Science.gov (United States)

    Yu, Qing; Bao, Zi-ping; Cao, Chun-li; Zhu, Hong-qing; Guo, Jia-gang

    2007-09-01

    To evaluate the practical value and the advantages of globe geographical positioning with wireless communication monitoring and supervision system in the field survey. Spots which were randomly sampled by the National Ministry of Health for the investigation were chosen in the endemic areas for schistosomiasis in Jiangsu, Jiangxi, Anhui, Hunan, Hubei, Sichuan and Yunnan provinces. Portable GPS CEC9680 was used for collecting relevant waypoints and track, recording on-the-spot geographical positions. The positioning data package was sent back synchronously in the form of short message of SMS to the monitoring service center, and the moving routes of the terminal receiver monitored were displayed on the GIS map to achieve real-time supervision and staff scheduling. With globe geographical positioning with wireless communication monitoring and supervision system, accurate positioning of 12 spots in the provinces of Jiangsu and 3 trial spots for schistosomiasis control with comprehensive treatment designated by the State Council has been established with real-time communicating recording, and monitoring systems. The globe geographical positioning with wireless communication monitoring and supervision system has provided a technical platform for the survey of schistosomiasis and other infectious diseases.

  17. Estimation of geographic variation in human papillomavirus vaccine uptake in men and women: an online survey using facebook recruitment.

    Science.gov (United States)

    Nelson, Erik J; Hughes, John; Oakes, J Michael; Pankow, James S; Kulasingam, Shalini L

    2014-09-01

    Federally funded surveys of human papillomavirus (HPV) vaccine uptake are important for pinpointing geographically based health disparities. Although national and state level data are available, local (ie, county and postal code level) data are not due to small sample sizes, confidentiality concerns, and cost. Local level HPV vaccine uptake data may be feasible to obtain by targeting specific geographic areas through social media advertising and recruitment strategies, in combination with online surveys. Our goal was to use Facebook-based recruitment and online surveys to estimate local variation in HPV vaccine uptake among young men and women in Minnesota. From November 2012 to January 2013, men and women were recruited via a targeted Facebook advertisement campaign to complete an online survey about HPV vaccination practices. The Facebook advertisements were targeted to recruit men and women by location (25 mile radius of Minneapolis, Minnesota, United States), age (18-30 years), and language (English). Of the 2079 men and women who responded to the Facebook advertisements and visited the study website, 1003 (48.2%) enrolled in the study and completed the survey. The average advertising cost per completed survey was US $1.36. Among those who reported their postal code, 90.6% (881/972) of the participants lived within the previously defined geographic study area. Receipt of 1 dose or more of HPV vaccine was reported by 65.6% women (351/535), and 13.0% (45/347) of men. These results differ from previously reported Minnesota state level estimates (53.8% for young women and 20.8% for young men) and from national estimates (34.5% for women and 2.3% for men). This study shows that recruiting a representative sample of young men and women based on county and postal code location to complete a survey on HPV vaccination uptake via the Internet is a cost-effective and feasible strategy. This study also highlights the need for local estimates to assess the variation in HPV

  18. Geography's American Constituency: Results from the AGS Geographic Knowledge and Values Survey

    Science.gov (United States)

    Kozak, Stephanie L.; Dobson, Jerome E.; Wood, Joseph S.

    2015-01-01

    Does geography have an American constituency? Setbacks for the discipline at all levels of education over the past 65 years would suggest that geography is universally unpopular in the United States, but is that really true? The American Geographical Society (AGS) polled adult US residents on their understanding of the discipline itself and…

  19. Geographic Variation and Factors Associated with Female Genital Mutilation among Reproductive Age Women in Ethiopia: A National Population Based Survey.

    Science.gov (United States)

    Setegn, Tesfaye; Lakew, Yihunie; Deribe, Kebede

    2016-01-01

    Female genital mutilation (FGM) is a common traditional practice in developing nations including Ethiopia. It poses complex and serious long-term health risks for women and girls and can lead to death. In Ethiopia, the geographic distribution and factors associated with FGM practices are poorly understood. Therefore, we assessed the spatial distribution and factors associated with FGM among reproductive age women in the country. We used population based national representative surveys. Data from two (2000 and 2005) Ethiopian demographic and health surveys (EDHS) were used in this analysis. Briefly, EDHS used a stratified, two-stage cluster sampling design. A total of 15,367 (from EDHS 2000) and 14,070 (from EDHS 2005) women of reproductive age (15-49 years) were included in the analysis. Three outcome variables were used (prevalence of FGM among women, prevalence of FGM among daughters and support for the continuation of FGM). The data were weighted and descriptive statistics (percentage change), bivariate and multivariable logistic regression analyses were carried out. Multicollinearity of variables was assessed using variance inflation factors (VIF) with a reference value of 10 before interpreting the final output. The geographic variation and clustering of weighted FGM prevalence were analyzed and visualized on maps using ArcGIS. Z-scores were used to assess the statistical difference of geographic clustering of FGM prevalence spots. The trend of FGM weighted prevalence has been decreasing. Being wealthy, Muslim and in higher age categories are associated with increased odds of FGM among women. Similarly, daughters from Muslim women have increased odds of experiencing FGM. Women in the higher age categories have increased odds of having daughters who experience FGM. The odds of FGM among daughters decrease with increased maternal education. Mass media exposure, being wealthy and higher paternal and maternal education are associated with decreased odds of women

  20. Geographic Variation and Factors Associated with Female Genital Mutilation among Reproductive Age Women in Ethiopia: A National Population Based Survey.

    Directory of Open Access Journals (Sweden)

    Tesfaye Setegn

    Full Text Available Female genital mutilation (FGM is a common traditional practice in developing nations including Ethiopia. It poses complex and serious long-term health risks for women and girls and can lead to death. In Ethiopia, the geographic distribution and factors associated with FGM practices are poorly understood. Therefore, we assessed the spatial distribution and factors associated with FGM among reproductive age women in the country.We used population based national representative surveys. Data from two (2000 and 2005 Ethiopian demographic and health surveys (EDHS were used in this analysis. Briefly, EDHS used a stratified, two-stage cluster sampling design. A total of 15,367 (from EDHS 2000 and 14,070 (from EDHS 2005 women of reproductive age (15-49 years were included in the analysis. Three outcome variables were used (prevalence of FGM among women, prevalence of FGM among daughters and support for the continuation of FGM. The data were weighted and descriptive statistics (percentage change, bivariate and multivariable logistic regression analyses were carried out. Multicollinearity of variables was assessed using variance inflation factors (VIF with a reference value of 10 before interpreting the final output. The geographic variation and clustering of weighted FGM prevalence were analyzed and visualized on maps using ArcGIS. Z-scores were used to assess the statistical difference of geographic clustering of FGM prevalence spots.The trend of FGM weighted prevalence has been decreasing. Being wealthy, Muslim and in higher age categories are associated with increased odds of FGM among women. Similarly, daughters from Muslim women have increased odds of experiencing FGM. Women in the higher age categories have increased odds of having daughters who experience FGM. The odds of FGM among daughters decrease with increased maternal education. Mass media exposure, being wealthy and higher paternal and maternal education are associated with decreased odds

  1. Chirp Seismic Shotpoint Navigation every 100 shots in Geographic Coordinates - Lake Mead Survey 2000

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Lake Mead is a large interstate reservoir located in the Mojave Desert of southeastern Nevada and northwestern Arizona. It was impounded in 1935 by the construction...

  2. Chirp Seismic Shotpoint Navigation every 100 shots in Geographic Coordinates - Lake Mead Survey 1999

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Lake Mead is a large interstate reservoir located in the Mojave Desert of southeastern Nevada and northwestern Arizona. It was impounded in 1935 by the construction...

  3. Chirp Seismic Shotpoint Navigation every 100 shots in Geographic Coordinates - Lake Mead Survey 2001

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Lake Mead is a large interstate reservoir located in the Mojave Desert of southeastern Nevada and northwestern Arizona. It was impounded in 1935 by the construction...

  4. Adherence to Physical Activity Among Older Adults Using a Geographic Information System: Korean National Health and Nutrition Examinations Survey IV.

    Science.gov (United States)

    Yeom, Hye-A; Jung, Dukyoo; Choi, Mona

    2011-06-01

    The purpose of this study was to examine the adherence to physical activity (PA) among older adults in Korea using data from the Fourth Korean National Health and Nutrition Examination Survey (KNHANESIV), and to illustrate geographic variations in PA using Geographic Information Systems (GIS). A secondary analysis of the KNHANES IV data from 2007 to 2008 was used for this study. Participants of the study included 2,241 older adults over the age of 65. Estimates on adherence to PA were obtained for vigorous, moderate, walking, strengthening, and stretching activities. All estimates were weighted to represent Korean population. The association between participants' characteristics and PA was analyzed using Wald chi-square test. Maps depicting regional variations in PA were created using GIS software. Adherence to PA among Korean older adults who met national recommendations during the period of year 2007-2008 was about 9% in vigorous activity, 10% in moderate activity, and 48% in walking. The most common type of PA was walking. A higher level of PA was associated with male gender, younger age, high level of income and education, and living with family. The majority of older adults did not meet the national PA recommendations, suggesting that consistent surveillance and intervention for PA in the geriatric population are needed in the future. Maps generated using GIS visually showed regional differences in PA among the study participants. Copyright © 2011 Korean Society of Nursing Science. Published by Elsevier B.V. All rights reserved.

  5. A Small-Scale Survey of the Views and Attitudes of Junior High School Teachers in China toward Geographical Fieldwork

    Science.gov (United States)

    Yang, Daihu; Wang, Ziying; Xu, Di; Deng, Zhenzhen

    2014-01-01

    Although geographical fieldwork can be viewed as an integral component of geographical education, it fell out of favor in Chinese secondary schools in the recent past. However, the new junior high school geography standards established in 2001 stress the importance of conducting geographical fieldwork for students' learning of geography. Now…

  6. Discussion on Basic Elements of National Geographic Condition Survey%浅谈地理国情普查基本要素内容

    Institute of Scientific and Technical Information of China (English)

    董冬; 龚伟

    2013-01-01

    Geographic condition is an important part of the basic national conditions.Through the development of the major geographic conditions,natural geographic information and national census survey,national geographic condition can be fully captured to grasp the basic elements of China geographic conditions,natural land cover,ecological,and human activities.The paper analyses the spatial distribution,basic features and their relationship,and lays the foundation for the normalization of the geographic condition monitoring.%地理国情是基本国情的重要组成部分,通过开展这项重大的地理国情普查、自然地理信息与国力调查,可以全面获取地理国情信息,掌握我国地理国情基本要素、自然地表覆盖、生态及人类活动基本情况,分析空间分布、基本特征及其相互关系,为开展常态化地理国情监测奠定基础.

  7. Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data

    Directory of Open Access Journals (Sweden)

    Sue C. Grady

    2017-05-01

    Full Text Available Under-five child mortality declined 47% since 2000 following the implementation of the United Nation’s (UN Millennium Development Goals. To further reduce under-five child mortality, the UN’s Sustainable Development Goals (SDGs will focus on interventions to address neonatal mortality, a major contributor of under-five mortality. The African region has the highest neonatal mortality rate (28.0 per 1000 live births, followed by that of the Eastern Mediterranean (26.6 and South-East Asia (24.3. This study used the Demographic and Health Survey Birth Recode data (http://dhsprogram.com/data/File-Types-and-Names.cfm to identify high-risk districts and countries for neonatal mortality in two sub-regions of Africa – East Africa and West Africa. Geographically weighted Poisson regression models were estimated to capture the spatially varying relationships between neonatal mortality and dimensions of potential need i care around the time of delivery, ii maternal education, and iii women’s empowerment. In East Africa, neonatal mortality was significantly associated with home births, mothers without an education and mothers whose husbands decided on contraceptive practices, controlling for rural residency. In West Africa, neonatal mortality was also significantly associated with home births, mothers with a primary education and mothers who did not want or plan their last child. Importantly, neonatal mortality associated with home deliveries were explained by maternal exposure to unprotected water sources in East Africa and older maternal age and female sex of infants in West Africa. Future SDG-interventions may target these dimensions of need in priority high-risk districts and countries, to further reduce the burden of neonatal mortality in Africa.

  8. Malacological survey and geographical distribution of vector snails for schistosomiasis within informal settlements of Kisumu City, western Kenya

    Directory of Open Access Journals (Sweden)

    Opisa Selpha

    2011-12-01

    Full Text Available Abstract Background Although schistosomiasis is generally considered a rural phenomenon, infections have been reported within urban settings. Based on observations of high prevalence of Schistosoma mansoni infection in schools within the informal settlements of Kisumu City, a follow-up malacological survey incorporating 81 sites within 6 informal settlements of the City was conducted to determine the presence of intermediate host snails and ascertain whether active transmission was occurring within these areas. Methods Surveyed sites were mapped using a geographical information system. Cercaria shedding was determined from snails and species of snails identified based on shell morphology. Vegetation cover and presence of algal mass at the sites was recorded, and the physico-chemical characteristics of the water including pH and temperature were determined using a pH meter with a glass electrode and a temperature probe. Results Out of 1,059 snails collected, 407 (38.4% were putatively identified as Biomphalaria sudanica, 425 (40.1% as Biomphalaria pfeifferi and 227 (21.5% as Bulinus globosus. The spatial distribution of snails was clustered, with few sites accounting for most of the snails. The highest snail abundance was recorded in Nyamasaria (543 snails followed by Nyalenda B (313 snails. As expected, the mean snail abundance was higher along the lakeshore (18 ± 12 snails compared to inland sites (dams, rivers and springs (11 ± 32 snails (F1, 79 = 38.8, P Biomphalaria snails was higher in the inland (2.7% compared to the lakeshore sites (0.3% (P = 0.0109. B. sudanica was more abundant in sites along the lakeshore whereas B. pfeifferi and B. globosus were more abundant in the inland sites. Biomphalaria and Bulinus snails were found at 16 and 11 out of the 56 inland sites, respectively. Conclusions The high abundance of Biomphalaria and Bulinus spp. as well as observation of field-caught snails shedding cercariae confirmed that besides Lake

  9. Temporal Trends in Geographical Variation in Breast Cancer Mortality in China, 1973–2005: An Analysis of Nationwide Surveys on Cause of Death

    Directory of Open Access Journals (Sweden)

    Changfa Xia

    2016-09-01

    Full Text Available To describe geographical variation in breast cancer mortality over time, we analysed breast cancer mortality data from three retrospective national surveys on causes of death in recent decades in China. We first calculated the age-standardized mortality rate (ASMR for each of the 31 provinces in mainland China stratified by survey period (1973–1975, 1990–1992 and 2004–2005. To test whether the geographical variation in breast cancer mortality changed over time, we then estimated the rate ratio (RR for the aggregated data for seven regions and three economic zones using generalized linear models. Finally, we examined the correlation between mortality rate and several macro-economic measures at the provincial level. We found that the overall ASMR increased from 2.98 per 100,000 in 1973–1975 to 3.08 per 100,000 in 1990–1992, and to 3.85 per 100,000 in 2004–2005. Geographical variation in breast cancer mortality also increased significantly over time at the regional level (p = 0.002 but not at the economic zone (p = 0.089 level, with RR being generally lower for Western China (Northwest and Southwest and higher in Northeast China over the three survey periods. These temporal and spatial trends in breast cancer mortality were found to be correlated with per capita gross domestic product, number of hospitals and health centres’ beds per 10,000 population and number of practicing doctors per 10,000 population, and average number of live births for women aged 15–64. It may be necessary to target public health policies in China to address the widening geographic variation in breast cancer mortality, and to take steps to ensure that the ease of access and the quality of cancer care across the country is improved for all residents.

  10. Temporal Trends in Geographical Variation in Breast Cancer Mortality in China, 1973–2005: An Analysis of Nationwide Surveys on Cause of Death

    Science.gov (United States)

    Xia, Changfa; Kahn, Clare; Wang, Jinfeng; Liao, Yilan; Chen, Wanqing; Yu, Xue Qin

    2016-01-01

    To describe geographical variation in breast cancer mortality over time, we analysed breast cancer mortality data from three retrospective national surveys on causes of death in recent decades in China. We first calculated the age-standardized mortality rate (ASMR) for each of the 31 provinces in mainland China stratified by survey period (1973–1975, 1990–1992 and 2004–2005). To test whether the geographical variation in breast cancer mortality changed over time, we then estimated the rate ratio (RR) for the aggregated data for seven regions and three economic zones using generalized linear models. Finally, we examined the correlation between mortality rate and several macro-economic measures at the provincial level. We found that the overall ASMR increased from 2.98 per 100,000 in 1973–1975 to 3.08 per 100,000 in 1990–1992, and to 3.85 per 100,000 in 2004–2005. Geographical variation in breast cancer mortality also increased significantly over time at the regional level (p = 0.002) but not at the economic zone (p = 0.089) level, with RR being generally lower for Western China (Northwest and Southwest) and higher in Northeast China over the three survey periods. These temporal and spatial trends in breast cancer mortality were found to be correlated with per capita gross domestic product, number of hospitals and health centres’ beds per 10,000 population and number of practicing doctors per 10,000 population, and average number of live births for women aged 15–64. It may be necessary to target public health policies in China to address the widening geographic variation in breast cancer mortality, and to take steps to ensure that the ease of access and the quality of cancer care across the country is improved for all residents. PMID:27690073

  11. 10 meter bathymetric contours of the Cape Ann - Salisbury Beach MA Survey Area (BATHCNTR_10M, geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and...

  12. H11076_GEO_B: 1-m Bathymetric Grid of NOAA Survey H11076 of Quicks Hole, Massachusetts (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  13. Locations of sediment samples collected in the Cape Ann - Salisbury Beach Massachusetts survey area (SEDIMENTSAMPLES - Shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and...

  14. Locations of bottom photographs collected in the Cape Ann - Salisbury Beach Massachusetts Survey Area (BOTTOMPHOTOS shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and...

  15. Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H12324 in Narragansett Bay (Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  16. H11250G: 2-m Bathymetric Grid of NOAA Survey H11250 of Eastern Long Island Sound (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has...

  17. H11250G: 2-m Bathymetric Grid of NOAA Survey H11250 of Eastern Long Island Sound (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has...

  18. Locations of sediment samples collected in the Cape Ann - Salisbury Beach Massachusetts survey area (SEDIMENTSAMPLES - Shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and...

  19. 10 meter bathymetric contours of the Cape Ann - Salisbury Beach MA Survey Area (BATHCNTR_10M, geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and...

  20. Brief Analysis of the Application of"Digital Shenyang"Fundamental Geographical Database in Geographic Conditions Survey%浅析"数字沈阳"基础地理信息数据库在地理国情普查中的应用

    Institute of Scientific and Technical Information of China (English)

    宋雪驹; 李天; 毛婧一

    2015-01-01

    基础地理信息数据库是数字沈阳地理空间框架的重要成果。最大限度地整合、利用现有的基础地理信息数据对地理国情普查工作有着很重要的意义。本文结合沈阳地理国情普查工作的技术和方法,分别探讨了"数字沈阳"基础地理信息数据在地表覆盖分类和地理国情要素采集中的应用技术,为地理国情普查的内业采集工作提供了思路和方法。%Fundamental geographical database is the important achievement of digital Shenyang geospatial framework. To maximize the integration and utilization of fundamental geographical data of ex-isting have very important meaning for the geographic conditions sur-vey. Combined with the technology and method of Shenyang geograph-ic conditions survey, this paper discusses the application of "digital Shenyang" fundamental geographical data in surface coverage classifi-cation and national geographical conditions elements collection, and provides the ideas and methods for the collection of work within the industry of National Geographic Conditions Survey.

  1. 福建省地理国情普查试点成果建库实践%Practice of Fujian Province Geographical Condition Survey Pilot Achievements Database Construction

    Institute of Scientific and Technical Information of China (English)

    谢小惠

    2014-01-01

    地理国情普查成果建库是地理国情监测的重要工作内容,可以有效地推动地理国情统计分析工作及地理国情监测各项业务的开展。本文在分析地理国情普查数据建库需求的基础上,设计了地理国情普查数据库的结构,以厦门为例,开发了地理国情普查数据库管理系统,实现了试点普查成果的建库和集中管理,为福建省后续地理国情普查成果的建库奠定了良好的基础。%Geographical condition survey achievements database construction is an important part of Geographical condition monito -ring, and it can effectively promote the geographical condition survey statistics and geographical condition monitoring .Based on the a-nalysis of the Geographical condition achievements database construction demands , this paper designed the database structure of geo-graphical condition survey achievements .With Xiamen pilot as an example , this paper developed a geographical condition survey data-base management system and achieved centralized management of geographical condition survey data , which lays the foundations for the management of the following geographical condition survey achievements .

  2. Geographical inequalities in use of improved drinking water supply and sanitation across Sub-Saharan Africa: mapping and spatial analysis of cross-sectional survey data.

    Directory of Open Access Journals (Sweden)

    Rachel L Pullan

    2014-04-01

    Full Text Available Understanding geographic inequalities in coverage of drinking-water supply and sanitation (WSS will help track progress towards universal coverage of water and sanitation by identifying marginalized populations, thus helping to control a large number of infectious diseases. This paper uses household survey data to develop comprehensive maps of WSS coverage at high spatial resolution for sub-Saharan Africa (SSA. Analysis is extended to investigate geographic heterogeneity and relative geographic inequality within countries.Cluster-level data on household reported use of improved drinking-water supply, sanitation, and open defecation were abstracted from 138 national surveys undertaken from 1991-2012 in 41 countries. Spatially explicit logistic regression models were developed and fitted within a Bayesian framework, and used to predict coverage at the second administrative level (admin2, e.g., district across SSA for 2012. Results reveal substantial geographical inequalities in predicted use of water and sanitation that exceed urban-rural disparities. The average range in coverage seen between admin2 within countries was 55% for improved drinking water, 54% for use of improved sanitation, and 59% for dependence upon open defecation. There was also some evidence that countries with higher levels of inequality relative to coverage in use of an improved drinking-water source also experienced higher levels of inequality in use of improved sanitation (rural populations r = 0.47, p = 0.002; urban populations r = 0.39, p = 0.01. Results are limited by the quantity of WSS data available, which varies considerably by country, and by the reliability and utility of available indicators.This study identifies important geographic inequalities in use of WSS previously hidden within national statistics, confirming the necessity for targeted policies and metrics that reach the most marginalized populations. The presented maps and analysis approach

  3. Child mortality in the Democratic Republic of Congo: cross-sectional evidence of the effect of geographic location and prolonged conflict from a national household survey.

    Science.gov (United States)

    Kandala, Ngianga-Bakwin; Mandungu, Tumwaka P; Mbela, Kisumbula; Nzita, Kikhela P D; Kalambayi, Banza B; Kayembe, Kalambayi P; Emina, Jacques B O

    2014-03-20

    The child mortality rate is a good indicator of development. High levels of infectious diseases and high child mortality make the Democratic Republic of Congo (DRC) one of the most challenging environments for health development in Sub-Saharan Africa (SSA). Recent conflicts in the eastern part of the country and bad governance have compounded the problem. This study aimed to examine province-level geographic variation in under-five mortality (U5M), accounting for individual- and household-level risk factors including environmental factors such as conflict. Our analysis used the nationally representative cross-sectional household sample of 8,992 children under five in the 2007 DRC Demographic and Health Survey. In the survey year, 1,005 deaths among this group were observed. Information on U5M was aggregated to the 11 provinces, and a Bayesian geo-additive discrete-time survival mixed model was used to map the geographic distribution of under-five mortality rates (U5MRs) at the province level, accounting for observable and unobservable risk factors. The overall U5MR was 159 per 1,000 live births. Significant associations with risk of U5M were found for geographic patterns in rates of U5M in the DRC and shows the potential role of individual child, household and environmental factors, which are unexplained by the ongoing conflict. The displacement of mothers to safer areas may explain the lower U5MR observed at the epicentre of the conflict in North Kivu, compared with rates in conflict-free areas. Overall, the U5M maps point to a lack of progress towards the Millennium Development Goal of reducing U5M by half by 2015.

  4. BATHY2MGEO: 2-m Bathymetric Grid of NOAA Survey H11255 in Long Island Sound (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Digital terrain models (DTMs) produced from multibeam bathymetric data provide valuable base maps for marine geological interpretations. These maps help define the...

  5. Tracklines of a multibeam survey of the Hudson Shelf Valley carried out in 1998 (polyline shapefile, geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The Hudson Shelf Valley is the submerged seaward extension of the ancestral Hudson River drainage system and is the largest physiographic feature on the Middle...

  6. Southwestern Alaska archeological survey, Kagati Lake, Kisarilik-Kwethluk Rivers: A final research report to the National Geographic Society

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Discusses archeological survey of the east of Kagati Lake to Nenevok Lake, north to Trail Creek and Kwethluk River valleys, west along the Kwethluk and Kisaralik...

  7. BATHY2MGEO: 2-m Bathymetric Grid of NOAA Survey H11255 in Long Island Sound (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Digital terrain models (DTMs) produced from multibeam bathymetric data provide valuable base maps for marine geological interpretations. These maps help define the...

  8. The geographic and demographic scope of shared sanitation: an analysis of national survey data from low- and middle-income countries.

    Science.gov (United States)

    Heijnen, Marieke; Rosa, Ghislaine; Fuller, James; Eisenberg, Joseph N S; Clasen, Thomas

    2014-11-01

    A large and growing proportion of the world's population rely on shared sanitation facilities that have historically been excluded from international targets due to concerns about acceptability, hygiene and access. In connection with a proposed change in such policy, we undertook this study to describe the prevalence and scope of households that report relying on shared sanitation and to characterise them in terms of selected socio-economic and demographic covariates. We extracted data from the most recent national household surveys of 84 low- and middle-income countries from Demographic and Health Surveys and Multiple Indicator Cluster Surveys. We describe the prevalence of shared sanitation and explore associations between specified covariates and reliance on shared sanitation using log-binomial regression. While household reliance on any type of shared sanitation is relatively rare in Europe (2.5%) and the Eastern Mediterranean (7.7%), it is not uncommon in the Americas (14.2%), Western Pacific (16.4%) and South-East Asia (31.3%), and it is most prevalent in Africa (44.6%) where many shared facilities do not meet the definition of 'improved' even if they were not shared (17.7%). Overall, shared sanitation is more common in urban (28.6%) than in rural settings (25.9%), even after adjusting for wealth. While results vary geographically, people who rely on shared sanitation tend to be poorer, reside in urban areas and live in households with more young children and headed by people with no formal education. Data from 21 countries suggest that most sharing is with neighbours and other acquaintances (82.0%) rather than the public. The determinants of shared sanitation identified from these data suggest potential confounders that may explain the apparent increased health risk from sharing and should be considered in any policy recommendation. Both geographic and demographic heterogeneity indicate the need for further research to support a change in policies. © 2014

  9. User-Generated Geographic Information for Visitor Monitoring in a National Park: A Comparison of Social Media Data and Visitor Survey

    Directory of Open Access Journals (Sweden)

    Vuokko Heikinheimo

    2017-03-01

    Full Text Available Protected area management and marketing require real-time information on visitors’ behavior and preferences. Thus far, visitor information has been collected mostly with repeated visitor surveys. A wealth of content-rich geographic data is produced by users of different social media platforms. These data could potentially provide continuous information about people’s activities and interactions with the environment at different spatial and temporal scales. In this paper, we compare social media data with traditional survey data in order to map people’s activities and preferences using the most popular national park in Finland, Pallas-Yllästunturi National Park, as a case study. We compare systematically collected survey data and the content of geotagged social media data and analyze: (i where do people go within the park; (ii what are their activities; (iii when do people visit the park and if there are temporal patterns in their activities; (iv who the visitors are; (v why people visit the national park; and (vi what complementary information from social media can provide in addition to the results from traditional surveys. The comparison of survey and social media data demonstrated that geotagged social media content provides relevant information about visitors’ use of the national park. As social media platforms are a dynamic source of data, they could complement and enrich traditional forms of visitor monitoring by providing more insight on emerging activities, temporal patterns of shared content, and mobility patterns of visitors. Potentially, geotagged social media data could also provide an overview of the spatio-temporal activity patterns in other areas where systematic visitor monitoring is not taking place.

  10. Magnetic resonance imaging of the knee in Norway 2002–2004 (national survey): rapid increase, older patients, large geographic differences

    Science.gov (United States)

    Espeland, Ansgar; Natvig, Nils L; Løge, Ingard; Engebretsen, Lars; Ellingsen, Jostein

    2007-01-01

    Background Magnetic resonance imaging (MRI) of the knee is the second most common MRI examination in Norway after head/brain MRI. Little has been published internationally on trends in the use of knee MRI after 1999. This study aimed to describe levels and trends in ambulant knee MRI utilisation in Norway 2002–2004 in relation to type of radiology service, geographic regions, number of MRI-scanners, patient age and gender, and type of referring health care provider. Methods We analysed administrative data on all claims for reimbursement of ambulant knee MRI performed in Norway in 2002, 2003 and 2004 and noted nominal reimbursement. We also recorded the referring health care provider from clinical requests of ambulant knee MRI done consecutively during two months in 2004 at one private institute and three hospitals. Number of MRI-scanners was given by manufacturers and radiology services. Results In Norway, the rate of knee MRI claims for 2004 was 15.6 per 1000 persons. This rate was 74% higher in East than in North region (18.4 vs. 10.6), slightly higher for men than women (16.4 vs. 14.7) and highest for ages 50–59 years (29.0) and 60–69 years (21.2). Most claims (76% for 2004) came from private radiology services. In 2004, the referring health care provider was a general practitioner in 63% of claims (unspecified in 24%) and in 83.5% (394/472) of clinical requests. From 2002 to 2004, the rate of knee MRI claims increased 64%. In the age group 50 years or above the increase was 86%. Rate of MRI-scanners increased 43% to 21 scanners per million persons in 2004. Reimbursement for knee MRI claims (nominal value) increased 80% to 70 million Norwegian kroner in 2004. Conclusion Ambulant knee MRI utilisation in Norway increases rapidly especially for patients over 50, and shows large geographic differences. Evaluation of clinical outcomes of this activity is needed together with clinical guidelines for use of knee MRI. PMID:17659090

  11. Magnetic resonance imaging of the knee in Norway 2002–2004 (national survey: rapid increase, older patients, large geographic differences

    Directory of Open Access Journals (Sweden)

    Løge Ingard

    2007-07-01

    Full Text Available Abstract Background Magnetic resonance imaging (MRI of the knee is the second most common MRI examination in Norway after head/brain MRI. Little has been published internationally on trends in the use of knee MRI after 1999. This study aimed to describe levels and trends in ambulant knee MRI utilisation in Norway 2002–2004 in relation to type of radiology service, geographic regions, number of MRI-scanners, patient age and gender, and type of referring health care provider. Methods We analysed administrative data on all claims for reimbursement of ambulant knee MRI performed in Norway in 2002, 2003 and 2004 and noted nominal reimbursement. We also recorded the referring health care provider from clinical requests of ambulant knee MRI done consecutively during two months in 2004 at one private institute and three hospitals. Number of MRI-scanners was given by manufacturers and radiology services. Results In Norway, the rate of knee MRI claims for 2004 was 15.6 per 1000 persons. This rate was 74% higher in East than in North region (18.4 vs. 10.6, slightly higher for men than women (16.4 vs. 14.7 and highest for ages 50–59 years (29.0 and 60–69 years (21.2. Most claims (76% for 2004 came from private radiology services. In 2004, the referring health care provider was a general practitioner in 63% of claims (unspecified in 24% and in 83.5% (394/472 of clinical requests. From 2002 to 2004, the rate of knee MRI claims increased 64%. In the age group 50 years or above the increase was 86%. Rate of MRI-scanners increased 43% to 21 scanners per million persons in 2004. Reimbursement for knee MRI claims (nominal value increased 80% to 70 million Norwegian kroner in 2004. Conclusion Ambulant knee MRI utilisation in Norway increases rapidly especially for patients over 50, and shows large geographic differences. Evaluation of clinical outcomes of this activity is needed together with clinical guidelines for use of knee MRI.

  12. A comparison of complementary and alternative medicine users and use across geographical areas: A national survey of 1,427 women

    Science.gov (United States)

    2011-01-01

    Background Evidence indicates that people who reside in non-urban areas have a higher use of complementary and alternative medicine (CAM) than people who reside in urban areas. However, there is sparse research on the reasons for such differences. This paper investigates the reasons for geographical differences in CAM use by comparing CAM users from four geographical areas (major cities, inner regional, outer region, rural/remote) across a range of health status, healthcare satisfaction, neighbourhood and community factors. Methods A cross-sectional survey of 1,427 participants from the Australian Longitudinal Study on Women's Health (ALSWH) conducted in 2009. Results The average total cost of consultations with CAM practitioners was $416 per annum and was highest for women in the major cities, declining with increasing distance from capital cities/remoteness (p < 0.001). The average total cost of self-prescribed CAM was $349 per annum, but this did not significantly differ across geographical areas. The increased use of CAM in rural and remote areas appears to be influenced by poorer access to conventional medical care (p < 0.05) and a greater sense of community (p < 0.05) amongst these rural and remote residents. In contrast to the findings of previous research this study found that health status was not associated with the differences in CAM use between urban and non-urban areas. Conclusion It appears that a number of factors influence the different levels of CAM use across the urban/non-urban divide. Further research is needed to help tease out and understand these factors. Such research will help support health care policy and practice with regards to this topic. PMID:21981986

  13. The Schisto Track: A System for Gathering and Monitoring Epidemiological Surveys by Connecting Geographical Information Systems in Real Time

    Science.gov (United States)

    2014-01-01

    Background Using the Android platform as a notification instrument for diseases and disorders forms a new alternative for computerization of epidemiological studies. Objective The objective of our study was to construct a tool for gathering epidemiological data on schistosomiasis using the Android platform. Methods The developed application (app), named the Schisto Track, is a tool for data capture and analysis that was designed to meet the needs of a traditional epidemiological survey. An initial version of the app was finished and tested in both real situations and simulations for epidemiological surveys. Results The app proved to be a tool capable of automation of activities, with data organization and standardization, easy data recovery (to enable interfacing with other systems), and totally modular architecture. Conclusions The proposed Schisto Track is in line with worldwide trends toward use of smartphones with the Android platform for modeling epidemiological scenarios. PMID:25099881

  14. Using forensic microsatellites to decipher the genetic structure of linguistic and geographic isolates: A survey in the eastern Italian Alps.

    Science.gov (United States)

    Montinaro, Francesco; Boschi, Ilaria; Trombetta, Federica; Merigioli, Sara; Anagnostou, Paolo; Battaggia, Cinzia; Capocasa, Marco; Crivellaro, Federica; Destro Bisol, Giovanni; Coia, Valentina

    2012-12-01

    The study of geographically and/or linguistically isolated populations could represent a potential area of interaction between population and forensic genetics. These investigations may be useful to evaluate the suitability of loci which have been selected using forensic criteria for bio-anthropological studies. At the same time, they give us an opportunity to evaluate the efficiency of forensic tools for parentage testing in groups with peculiar allele frequency profiles. Within the frame of a long-term project concerning Italian linguistic isolates, we studied 15 microsatellite loci (Identifiler kit) comprising the CODIS panel in 11 populations from the north-eastern Italian Alps (Veneto, Trentino and Friuli Venezia Giulia regions). All our analyses of inter-population differentiation highlight the genetic distinctiveness of most Alpine populations comparing them either to each other or with large and non-isolated Italian populations. Interestingly, we brought to light some aspects of population genetic structure which cannot be detected using unilinear polymorphisms. In fact, the analysis of genotypic disequilibrium between loci detected signals of population substructure when all the individuals of Alpine populations are pooled in a single group. Furthermore, despite the relatively low number of loci analyzed, genetic differentiation among Alpine populations was detected at individual level using a Bayesian method to cluster multilocus genotypes. Among the various populations studied, the four linguistic minorities (Fassa Valley, Luserna, Sappada and Sauris) showed the most pronounced diversity and signatures of a peculiar genetic ancestry. Finally, we show that database replacement may affect estimates of probability of paternity even when the local database is replaced by another based on populations which share a common genetic background but which differ in their demographic history. These findings point to the importance of considering the demographic and

  15. Research on Geographical Urban Conditions Monitoring

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    by LUO A1inghai Abstract Geographical national conditions monitoring has become an important task of surveying and geographical information industry, and will make a profound influence on the development of surveying and ge- ographical information. This paper introduced the basic concept of ge- ographical national conditions monitoring, and discussed its main tasks including complete surveying, dynamic monitoring, statistical analysis and regular release, and expounded the main content of geographical urban conditions monitoring including urbanization monitoring, social- economic development monitoring, transportation foundation monitor- ing and natural ecological environment monitoring, and put forwards the framework system of geographical urban conditions monitoring. Key words surveying and mapping ,geographical national conditions, monitoring ( Page:l )

  16. Geographic Tongue

    Science.gov (United States)

    ... cases, most often related to eating hot, spicy, salty or acidic foods Many people with geographic tongue ... sensitive oral tissues, including: Hot, spicy, acidic or salty foods Tobacco products Toothpaste that contains tartar-control ...

  17. Obtaining fruit and vegetables for the lowest prices: pricing survey of different outlets and geographical analysis of competition effects.

    Directory of Open Access Journals (Sweden)

    Amber L Pearson

    Full Text Available AIMS: Inadequate fruit and vegetable (F&V consumption is an important dietary risk factor for disease internationally. High F&V prices can be a barrier to dietary intake and so to improve understanding of this topic we surveyed prices and potential competition between F&V outlet types. METHODS: Over a three week early autumn period in 2013, prices were collected bi-weekly for 18 commonly purchased F&Vs from farmers' markets (FM selling local produce (n = 3, other F&V markets (OFVM (n = 5, supermarkets that neighbored markets (n = 8, and more distant supermarkets (n = 8, (in urban Wellington and Christchurch areas of New Zealand. Prices from an online supermarket were also collected. RESULTS: A total of 3120 prices were collected. Most F&Vs (13/18 were significantly cheaper at OFVMs than supermarkets. Over half of the F&Vs (10/18 were significantly cheaper at nearby compared to distant supermarkets, providing evidence of a moderate 'halo effect' in price reductions in supermarkets that neighbored markets. Weekend (vs midweek prices were also significantly cheaper at nearby (vs distant supermarkets, supporting evidence for a 'halo effect'. Ideal weekly 'food basket' prices for a two adult, two child family were: OFVMs (NZ$76, online supermarket ($113, nearby supermarkets ($124, distant supermarkets ($127, and FMs ($138. This represents a savings of $49 per week (US$26 by using OFVMs relative to (non-online supermarkets. Similarly, a shift from non-online supermarkets to the online supermarket would generate a $13 saving. CONCLUSIONS: In these locations general markets appear to be providing some substantially lower prices for fruit and vegetables than supermarkets. They also appear to be depressing prices in neighboring supermarkets. These results, when supplemented by other needed research, may help inform the case for interventions to improve access to fruit and vegetables, particularly for low-income populations.

  18. Cigarette and Water-Pipe Use in Iran: Geographical Distribution and Time Trends among the Adult Population; A Pooled Analysis of National STEPS Surveys, 2006-2009.

    Science.gov (United States)

    Nemati, Saeed; Rafei, Ali; Freedman, Neal D; Fotouhi, Akbar; Asgary, Fereshteh; Zendehdel, Kazem

    2017-05-01

    To assess the geographical distribution and time trends of manufactured cigarette and water-pipe use among Iranian adult population. Pooled data from four consecutive nationally and provincially representative STEPS surveys, 2006-2009, were analyzed. Prevalence of current daily manufactured cigarette smokers, current daily water-pipe and current daily dual users and associated 95%CIs were estimated using complex sample analysis techniques. Overall, the prevalence of current daily tobacco use, including cigarette and water-pipe, was estimated 23.7% for men and 3.0% for women, in which 20.2% of men and 0.8% of women were exclusively cigarette smokers, 2.7% and 2.2% were exclusively water-pipe users, and 0.6% and 0.01% smoked both cigarettes and water-pipes. The prevalence of cigarette smoking ranged from 12.3% to 27.7% in men and 0.1% to 1.8% in women, and was generally highest in the northwest of the country. Conversely, the prevalence of water-pipe smoking ranged from 1.7% to 10.9% in men and 0% to 16.8% in women, and was highest in the south and southeast. No secular trends were observed for daily cigarette smoking in either men (P = 0.637) or women (P = 0.308) from 2006 to 2009. However, the prevalence of water-pipe decreased slightly in women (P = 0.012) and men (P = 0.055), though the later was not statistically significant. In Iran, widespread geographical variation in the use of different types of tobacco products should be taken into account when planning for tobacco prevention policies and programs. Iran may serve as an important setting for etiological studies to examine the effects of long-term water pipe use on diseases.

  19. Geographic Names Information System (GNIS) Admin Features

    Data.gov (United States)

    Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

  20. Geographic Names Information System (GNIS) Antarctica Features

    Data.gov (United States)

    Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

  1. Geographic Names Information System (GNIS) Hydrography Points

    Data.gov (United States)

    Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

  2. Geographic Names Information System (GNIS) Hydrography Lines

    Data.gov (United States)

    Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

  3. Geographic Names Information System (GNIS) Community Features

    Data.gov (United States)

    Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

  4. Geographic Names Information System (GNIS) Landform Features

    Data.gov (United States)

    Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

  5. Geographic Names Information System (GNIS) Historical Features

    Data.gov (United States)

    Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

  6. Geographic Names Information System (GNIS) Transportation Features

    Data.gov (United States)

    Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

  7. Geographic Names Information System (GNIS) Cultural Features

    Data.gov (United States)

    Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

  8. Geographic Names Information System (GNIS) Structures

    Data.gov (United States)

    Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

  9. Urbanisation and geographic variation of overweight and obesity in India: a cross-sectional analysis of the Indian Demographic Health Survey 2005-2006.

    Science.gov (United States)

    Siddiqui, Saad T; Kandala, Ngianga-Bakwin; Stranges, Saverio

    2015-09-01

    We examined the nationwide geographic variation of overweight and obesity in India, as well as a range of potential correlates of excess body fat. We conducted cross-sectional analyses of the 2005-2006 Indian Demographic Health Survey (IDHS), based on 161,050 individuals (age range 18-54 years). Multivariate logistic regression models were used to determine odds ratios (OR) of overweight and obesity compared to normal weight with associated correlates. The overall prevalence was 12.4% for overweight, 3.2% for obesity, and 26.5% for underweight. After multivariate adjustment, obesity was nearly thrice more likely in urban areas than in rural (OR 2.73, 95% CI 2.53-2.94). Women were 2.71 times more likely to be obese than men (95% CI 2.50-2.95). Better socioeconomic status was significantly associated with overweight and obesity. Overweight (OR 1.38, 95% CI 1.31-1.47) and obesity (OR 1.46, 95% CI 1.32-1.61) were most likely to occur in India's Southern zone, when controlled for confounding factors. High-risk estimates for overweight/obesity in urban settings, along with socioeconomic prowess in India and the resulting nutritional transition make a compelling case for public health policy on healthy lifestyles to avert the growing burden of non-communicable diseases associated with overweight/obesity.

  10. Survey lines along which SEABed Observation and Sampling System (SEABOSS) data were collected by the U.S. Geological Survey within the Northern Cape Cod Bay survey area (CCB_SeabossTrackline Esri shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  11. Survey lines along which EdgeTech 512i chirp seismic-reflection data were collected by the U.S. Geological Survey in the Cape Ann - Salisbury Beach, MA survey area (SEISMICTRACKLINE, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and...

  12. The Guidance and Innovation in the Development of Surveying and Mapping through Geographic National Conditions%监测地理国情对测绘发展的引领与拓新

    Institute of Scientific and Technical Information of China (English)

    周天祥

    2012-01-01

    The National Administration of Surveying, Mapping and Geoinformation has achieved considerably in data accumulation, basic technique and human resources system in geographic national conditions monitoring, but it still needs scientific and technological innovation and practical exploration to construct an all - purpose geographic national conditions monitoring system. The current primary task is to make full use of the achievements in basic surveying and mapping and take full advantage of the successful experience of basic surveying and mapping work related to geographic national conditions monitoring in an effort to gain proper understanding of the key and difficult parts of the geographic national conditions monitoring, innovate our thinking, explore the new fields of geographical sciences, solve problems and lay a good foundation for the overall monitoring of geographic national conditions.%开展地理国情监测,国家测绘地理信息局已经有了很好的成果资料积累、技术基础和人才梯队,但是要形成一个完整的地理国情监测体系还需要科技创新和实践探索。目前主要任务是:充分利用已取得的基础测绘成果及其与地理国情监测相关方面探索出的成功经验,准确把握地理国情监测的重点和难点,创新思维,勇于探索,破解难题,为全面开展地理国情监测工作铺平道路。

  13. Geographic Names Information System (GNIS) for Lousiana, Geographic NAD83, USGS (2007) [GNIS_LA_USGS_2007

    Data.gov (United States)

    Louisiana Geographic Information Center — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

  14. GEOGRAPHIC NAMES INFORMATION SYSTEM (GNIS) ...

    Science.gov (United States)

    The Geographic Names Information System (GNIS), developed by the U.S. Geological Survey in cooperation with the U.S. Board on Geographic Names (BGN), contains information about physical and cultural geographic features in the United States and associated areas, both current and historical, but not including roads and highways. The database also contains geographic names in Antarctica. The database holds the Federally recognized name of each feature and defines the location of the feature by state, county, USGS topographic map, and geographic coordinates. Other feature attributes include names or spellings other than the official name, feature designations, feature class, historical and descriptive information, and for some categories of features the geometric boundaries. The database assigns a unique feature identifier, a random number, that is a key for accessing, integrating, or reconciling GNIS data with other data sets. The GNIS is our Nation's official repository of domestic geographic feature names information.

  15. Proceedings of the U.S. Geological Survey Sixth Biennial Geographic Information Science Workshop, Denver, Colorado, April 24-28, 2006

    Science.gov (United States)

    Brakebill, John W.; Sieverling, Jennifer B.; Chirico, Peter G.

    2006-01-01

    The U.S. Geological Survey's (USGS) Sixth Biennial Geographic Information Science Workshop April 24 - 28, 2006, at the Denver Federal Center in Denver, Colorado, provides a unique opportunity for multi-disciplinary Geographic Information Systems (GIS) and associated scientific professionals to share, learn, present, and discuss a wide variety of geospatial-related topics. Information is exchanged through a series of plenary sessions, hands-on technical workshops, user and commercial vendor demonstrations, lecture and poster sessions, and specialty meetings. Workshop attendance is limited to Department of Interior (DOI) and USGS employees and contractors; however, plenary, hands-on, and lecture sessions have presenters from other Federal agencies, numerous commercial vendors, universities, and several consortia. Over 175 participants are expected to attend the Workshop. Several prominent speakers are featured at this Workshop. Monday evening Star Guest Speaker and National Aeronautics and Space Administration (NASA) Astronaut Captain Dominic Gorie will talk about his experiences as a veteran of three space flights and over 32 days in space, including the NASA Space Shuttle Radar Topography Mission that mapped more than 47 million miles of the Earth's land surface. Selected as an astronaut candidate by NASA in December 1994, Captain Gorie is currently Chief of the Astronaut Shuttle Branch. Monday evening also features a town hall meeting with Geographic Information Office (GIO) leaders Karen Siderelis, Kevin Gallagher, Bob Pierce, Steve Guptill, Mark DeMulder, John Mahoney, and Mark Negri, who will discuss changes and activities within the GIO in an open discussion format. Tuesday plenary sessions feature keynote speaker Dr. P. Patrick Leahy, Acting USGS Director. Dr. Leahy holds undergraduate and graduate degrees in geology (1968) and geophysics (1970) from Boston College. In 1979, he received his doctorate in geology from Rensselaer Polytechnic Institute, where he

  16. Geographical Tatoos

    Directory of Open Access Journals (Sweden)

    Valéria Cazetta

    2014-08-01

    Full Text Available The article deals with maps tattooed on bodies. My interest in studying the corporeality is inserted in a broader project entitled Geographies and (in Bodies. There is several published research on tattoos, but none in particular about tattooed maps. However some of these works interested me because they present important discussions in contemporary about body modification that helped me locate the body modifications most within the culture than on the nature. At this time, I looked at pictures of geographical tattoos available in several sites of the internet.

  17. Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and first The National Map Users Conference, Denver, Colorado, May 10-13, 2011

    Science.gov (United States)

    Sieverling, Jennifer B.; Dietterle, Jeffrey

    2014-01-01

    The U.S. Geological Survey (USGS) is sponsoring the first The National Map Users Conference in conjunction with the eighth biennial Geographic Information Science (GIS) Workshop on May 10-13, 2011, in Lakewood, Colorado. The GIS Workshop will be held at the USGS National Training Center, located on the Denver Federal Center, Lakewood, Colorado, May 10-11. The National Map Users Conference will be held directly after the GIS Workshop at the Denver Marriott West, a convention hotel in the Lakewood, Colorado area, May 12-13. The National Map is designed to serve the Nation by providing geographic data and knowledge for government, industry, and public uses. The goal of The National Map Users Conference is to enhance communications and collaboration among the communities of users of and contributors to The National Map, including USGS, Department of the Interior, and other government GIS specialists and scientists, as well as the broader geospatial community. The USGS National Geospatial Program intends the conference to serve as a forum to engage users and more fully discover and meet their needs for the products and services of The National Map. The goal of the GIS Workshop is to promote advancement of GIS and related technologies and concepts as well as the sharing of GIS knowledge within the USGS GIS community. This collaborative opportunity for multi-disciplinary GIS and associated professionals will allow attendees to present and discuss a wide variety of geospatial-related topics. The Users Conference and Workshop collaboration will bring together scientists, managers, and data users who, through presentations, posters, seminars, workshops, and informal gatherings, will share accomplishments and progress on a variety of geospatial topics. During this joint event, attendees will have the opportunity to present or demonstrate their work; to develop their knowledge by attending hands-on workshops, seminars, and presentations given by professionals from USGS and

  18. 基于地理国情监测成果的通用专题服务平台设计%The Design of General Special Service Platform of National Geographic Condition Survey Results

    Institute of Scientific and Technical Information of China (English)

    张禹; 周博飞; 任思思

    2014-01-01

    为了提高服务能力和保障水平,对地理国情监测成果资源进行整合,使其在经济社会发展、民生需求中发挥整体效应。针对目前公众地理信息服务和用户需求,本文构想一个通用的智能专题地图开放服务平台,开创交互式地图,实现一键式制作专业地图,面向企业机构和个人用户提供在线地图与地理信息服务,从而辅助业务决策,打造企业或个人专属地图应用。依托信息丰富的地理国情监测成果数据,实现交互式地图应用,面向机关、企业机构和个人用户提供免费、便捷的在线地理信息服务。通过快速准确的数据匹配,展现地理位置和专题数据的空间关系。让各种用户数据、专题数据内容在地理空间上图文并茂地展示,从而起到辅助业务决策、分析和解决实际问题的作用。本文构想的平台能够加强地理国情监测成果应用推广,满足国民经济和社会信息化建设对测绘工作的需求,推动我国测绘行业成果应用。%In order to improve the service ability and the level of protection , to integrate geographic condition survey resources , exert the whole effect of the development in economy , social demand.At present, the public geographic information service and user de-mand, this paper develop a universal intelligent topic map open service platform , to create an interactive map realize one key profes-sional production of map application oriented enterprises , institutions and individuals to provide users with online maps and geographic information services .Thus the auxiliary business decision , build the enterprise or individual exclusive map application .Geographic conditions survey data based on information rich , interactive map application for organs , enterprises, institutions and individuals to provide free, convenient online geographic information services .The fast and accurate data matching , displaying

  19. Area- and Depth-Weighted Averages of Selected SSURGO Variables for the Conterminous United States and District of Columbia

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This digital data release consists of seven national data files of area- and depth-weighted averages of select soil attributes for every available county in the...

  20. 25-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11346 in the Vicinity of Edgartown Harbor, Massachusetts (H11346_GEO25, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  1. Tracklines of a multibeam survey of the sea floor offshore of Fire Island Inlet, New York, in 1998 (polyline shapefile, geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Surveys of the bathymetry and backscatter intensity of the sea floor south of Long Island, New York, were carried out in November 1998 using a Simrad EM1000...

  2. Chirp sub-bottom profiler tracklines collected by the U.S. Geological Survey offshore of Fire Island, NY in 2011 (Geographic, WGS 84, Esri Polyline Shapefile)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) mapped approximately 336 square kilometers of the lower shoreface and inner-continental shelf offshore of Fire Island, New York in...

  3. Text files of the navigation logged by the U.S. Geological Survey offshore of Fire Island, NY in 2011 (Geographic, WGS 84, HYPACK ASCII Text Files)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) mapped approximately 336 square kilometers of the lower shoreface and inner-continental shelf offshore of Fire Island, New York in...

  4. Tracklines of a multibeam survey of the sea floor southwest of Montauk Point, New York, in 1998 (polyline shapefile, geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Surveys of the bathymetry and backscatter intensity of the sea floor south of Long Island, New York, were carried out in November 1998 using a Simrad EM1000...

  5. Tracklines of a multibeam survey of the sea floor offshore of Shinnecock Inlet, New York, in 1998 (polyline shapefile, geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Surveys of the bathymetry and backscatter intensity of the sea floor south of Long Island, New York, were carried out in November 1998 using a Simrad EM1000...

  6. Tracklines of a multibeam survey of the sea floor offshore of Moriches Inlet, New York, in 1998 (polyline shapefile, geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Surveys of the bathymetry and backscatter intensity of the sea floor south of Long Island, New York, were carried out in November 1998 using a Simrad EM1000...

  7. Enhanced Composite Sidescan Sonar Mosaic of NOAA Survey H11310 in Central Narragansett Bay, Rhode Island (H11310SS_GEO1M_INV.TIF, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Association (NOAA) to interpret the surficial geology...

  8. H11320_GEO_4M: 4-m ArcRaster Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11320 in Geographic

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial...

  9. Sound velocity profile locations collected by the U.S. Geological Survey offshore of Fire Island, NY in 2011 (Geographic, WGS 84, Esri Point Shapefile)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) mapped approximately 336 square kilometers of the lower shoreface and inner-continental shelf offshore of Fire Island, New York in...

  10. Interpretive Data Layer Showing the Framework Geology of National Oceanic and Atmospheric Administration (NOAA) Survey H11250 (H11250G_GEOL, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has...

  11. 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11996 in Rhode Island Sound (H11996_2M_GEO, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  12. Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H12296 in Block Island Sound (H12296_INTERP shapefile, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  13. Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H12023 in Block Island Sound (H12023_INTERP shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  14. Tracklines for bottom video collected with the SEABOSS Sampler in the Cape Ann - Salisbury Beach survey area (SeaBossTracklines - shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and...

  15. Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H11995 in Rhode Island Sound (H11995_INTERP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  16. Outline of the Multibeam Bathymetry Data Collected During National Oceanic and Atmospheric Administration (NOAA) Survey H11922 (H11922OUTLINE, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  17. Outline of the Multibeam-Bathymetric Data Collected During National Oceanic and Atmospheric Administration (NOAA) Survey H11995 (H11995OUTLINE.SHP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  18. Outline of the Multibeam-Bathymetric Data Collected During National Oceanic and Atmospheric Administration (NOAA) Survey H12023 (H12023OUTLINE.SHP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  19. MOSAIC_06015_DD - Composite sidescan-sonar mosaic collected by the U.S. Geological Survey offshore of the Chandeleur Islands, LA, 2006 (Geographic GeoTIFF)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In 2006 and 2007, the U.S. Geological Survey, in partnership with Louisiana Department of Natural Resources and the University of New Orleans, conducted geologic...

  20. SwathPlus and RESON Bathymetric Tracklines collected in the Cape Ann - Salisbury Beach Massachusetts Survey Area (BATHTRACKLINES, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and...

  1. Locations of Sea-Floor Photographs Acquired During U.S. Geological Survey Cruise 09059 Offshore of Rocky Point, New York (RAFA09059_RPBOTPHOTOS, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  2. Outline of the Multibeam-Bathymetric and Sidescan-Sonar Data Collected During National Oceanic and Atmospheric Administration (NOAA) Survey H11445 (H11445OUTLINE.SHP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration...

  3. Interpretation of Sedimentary Environments from National Oceanic and Atmospheric Administration (NOAA) Survey H11997 Offshore in Eastern Long Island Sound (H11997_SEDENV.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  4. Location of Sea Floor Photographs Acquired During U.S. Geological Survey (USGS) Cruise 2011-006-FA in Rhode Island Sound (2011-006_995BOTPHOTOS, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the...

  5. Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H11995 in Rhode Island Sound (H11995_INTERP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the...

  6. Outline of the Multibeam-Bathymetric Data Collected during National Oceanic and Atmospheric Administration (NOAA) Survey H11996 (H11996OUTLINE.SHP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the...

  7. Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H12023 in Block Island Sound (H12023_INTERP shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the...

  8. Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H11996 in Rhode Island Sound (H11996_INTERP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  9. Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H11346 of Edgartown Harbor, MA (H11346_INTERP.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  10. Color GeoTIFF of the Bathymetry of National Oceanic and Atmospheric Administration (NOAA) Survey H11321 in Central Rhode Island Sound (H11321_GEO.TIF. Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial...

  11. H11321_GEO45M: 45-m Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11321 in Central Rhode Island Sound (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial...

  12. Enhanced Composite Sidescan Sonar Mosaic of NOAA Survey H11310 in Central Narragansett Bay, Rhode Island (H11310SS_GEO1M_INV.TIF, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Association (NOAA) to interpret the surficial geology...

  13. H11320_GEO_4M: 4-m ArcRaster Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11320 in Geographic

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial...

  14. 45-m Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11321 in Central Rhode Island Sound (H11321_GEO45M, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial...

  15. Outline of the Sidescan-Sonar Data Collected During National Oceanic and Atmospheric Administration (NOAA) Survey H11346 (H11346OUTLINE.SHP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  16. H11079_GEO_B: 3-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11079 of Great Round Shoal Channel, Offshore Massachusetts (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  17. Outline of the Multibeam-Bathymetric Data Collected During National Oceanic and Atmospheric Administration (NOAA) Survey H12023 (H12023OUTLINE.SHP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the...

  18. Locations of bottom photographs collected by the U.S. Geological Survey offshore of Massachusetts between Duxbury and Hull (DH_BottomPhotos shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  19. 10 meter bathymetric contours of the Duxbury-Hull MA Survey Area (DH_BATHCNTR_10m shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  20. Outline of the Multibeam-Bathymetric Data Collected During National Oceanic and Atmospheric Administration (NOAA) Survey H11999 (H11999OUTLINE.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration...

  1. Interpretation of the Sedimentary Environments of National Oceanic and Atmospheric Administration (NOAA) Survey H11322, Western Rhode Island Sound (H11322ENVIRONS, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in...

  2. Interpretation of Sidescan-Sonar Imagery of National Oceanic and Atmospheric Administration (NOAA) Survey H11322 in Western Rhode Island Sound (H11322INTERP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in...

  3. H11310SS_GEO1M_INV.TIF: Enhanced Composite Sidescan Sonar Mosaic of NOAA Survey H11310 in Central Narragansett Bay, Rhode Island (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Association (NOAA) to interpret the surficial geology...

  4. Geologic Interpretation of the Acoustic Data Collected During National Oceanic and Atmospheric Administration (NOAA) Survey H11361 (H11361_INTERP.SHP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has...

  5. Geologic Interpretation of the Acoustic Data Collected During National Oceanic and Atmospheric Administration (NOAA) Survey H11252 (H11252_INTERP.SHP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has...

  6. MOSAIC_06015_DD - Composite sidescan-sonar mosaic collected by the U.S. Geological Survey offshore of the Chandeleur Islands, LA, 2006 (Geographic GeoTIFF)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In 2006 and 2007, the U.S. Geological Survey, in partnership with Louisiana Department of Natural Resources and the University of New Orleans, conducted geologic...

  7. Interpretation of Sidescan-Sonar Imagery of National Oceanic and Atmospheric Administration (NOAA) Survey H11322 in Western Rhode Island Sound (H11322INTERP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in...

  8. H11310_WGS84: 1-m Bathymetric ArcRaster Grid of NOAA Survey H11310 in Central Narragansett Bay in Geographic

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Association (NOAA) to interpret the surficial geology...

  9. Outline of the Multibeam-Bathymetric Data Collected During National Oceanic and Atmospheric Administration (NOAA) Survey H12296 (H12296OUTLINE.SHP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  10. Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H12296 in Block Island Sound (H12296_INTERP shapefile, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  11. Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H11995 in Rhode Island Sound (H11995_INTERP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  12. Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H11999 Offshore of Duck Pond Point, New York (H11999INTERP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration...

  13. Text files of the navigation logged by the U.S. Geological Survey offshore of Fire Island, NY in 2011 (Geographic, WGS 84, HYPACK ASCII Text Files)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) mapped approximately 336 square kilometers of the lower shoreface and inner-continental shelf offshore of Fire Island, New York in...

  14. Interpretive Data Layer Showing Distribution of Modern Features Within National Oceanic and Atmospheric Adminitration (NOAA) Survey H11250 (H11250G_MOD, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has...

  15. 10 meter bathymetric contours of the Duxbury-Hull MA Survey Area (DH_BATHCNTR_10m shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  16. H11077_INTERP.SHP: Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H11077 of Woods Hole, MA (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  17. Locations and analysis of sediment samples collected in the Duxbury to Hull Massachusetts survey area (DH_SedimentSamples shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  18. Location of Sea-Floor Photographs Acquired During U.S. Geological Survey (USGS) field activity 05007 (RAFA05007) from Quicks Hole, Massachusetts (RAF05007_BOTPHOTOS shapefile, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  19. Interpretations of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H11076 of Quicks Hole, MA (H11076_INTERP.SHP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  20. Interpretations of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H11076 of Quicks Hole, MA (H11076_INTERP.SHP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  1. Outline of the Multibeam Bathymetry Data Collected During National Oceanic and Atmospheric Administration (NOAA) Survey H11922 (H11922OUTLINE, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  2. Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H12023 in Block Island Sound (H12023_INTERP shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  3. Outline of the Multibeam Bathymetry Data Collected During National Oceanic and Atmospheric Administration (NOAA) Survey H12013 (H12013OUTLINE.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Connecticut Department of Energy and...

  4. Interpretive Data Layer Showing Distribution of Modern Features Within National Oceanic and Atmospheric Adminitration (NOAA) Survey H11250 (H11250G_MOD, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has...

  5. Interpretive Data Layer Showing the Framework Geology of National Oceanic and Atmospheric Administration (NOAA) Survey H11250 (H11250G_GEOL, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has...

  6. H11321_GEO45M: 45-m Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11321 in Central Rhode Island Sound (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial...

  7. Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H11077 of Woods Hole, MA (H11077_INTERP.SHP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  8. Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and first The National Map Users Conference, Denver, Colorado, May 10-13, 2011

    Science.gov (United States)

    Sieverling, Jennifer B.; Dietterle, Jeffrey

    2014-01-01

    The U.S. Geological Survey (USGS) is sponsoring the first The National Map Users Conference in conjunction with the eighth biennial Geographic Information Science (GIS) Workshop on May 10-13, 2011, in Lakewood, Colorado. The GIS Workshop will be held at the USGS National Training Center, located on the Denver Federal Center, Lakewood, Colorado, May 10-11. The National Map Users Conference will be held directly after the GIS Workshop at the Denver Marriott West, a convention hotel in the Lakewood, Colorado area, May 12-13. The National Map is designed to serve the Nation by providing geographic data and knowledge for government, industry, and public uses. The goal of The National Map Users Conference is to enhance communications and collaboration among the communities of users of and contributors to The National Map, including USGS, Department of the Interior, and other government GIS specialists and scientists, as well as the broader geospatial community. The USGS National Geospatial Program intends the conference to serve as a forum to engage users and more fully discover and meet their needs for the products and services of The National Map. The goal of the GIS Workshop is to promote advancement of GIS and related technologies and concepts as well as the sharing of GIS knowledge within the USGS GIS community. This collaborative opportunity for multi-disciplinary GIS and associated professionals will allow attendees to present and discuss a wide variety of geospatial-related topics. The Users Conference and Workshop collaboration will bring together scientists, managers, and data users who, through presentations, posters, seminars, workshops, and informal gatherings, will share accomplishments and progress on a variety of geospatial topics. During this joint event, attendees will have the opportunity to present or demonstrate their work; to develop their knowledge by attending hands-on workshops, seminars, and presentations given by professionals from USGS and

  9. 基于 ArcPad 的地理国情普查外业调查系统开发%Investigation System Development of Geographical Conditions Survey Based on ArcPad

    Institute of Scientific and Technical Information of China (English)

    夏正清; 谢艳玲

    2014-01-01

    通过ArcPAD Studio开发环境和VBScript开发工具以及VC++和ArcEngine 9.3,开发了适合全国第一次地理国情普查项目的外业调绘软件,解决了内外业作业数据不一致的情况,实现了两者一体化。通过Configura-tion和Layer两种开发方式,参考地理国情普查项目的相关规范,实现了地理要素覆盖数据及地理要素的采集、编辑,实现了样点照片及其相关属性的采集。本文还就数据预处理及采集后的数据后处理进行了阐述,使地理国情普查项目的外业调绘工作更加完整化、流程化。%Abstratc:In this paper , through the ArcPAD Studio development environment and VBScript development tools and VC ++and Ar-cEngine9.3, the investigation in the field of software for the first national geographic conditions survey project development , solves the situation of internal and external work data inconsistency , realizing the integration .Through two kinds of development ways of Configu-ration and Layer , in reference to the relevant codes geographical conditions of the census , the geographical coverage data and geo-graphic elements of the collection , editing, the sample photos and related attribute collection .This paper also collected data pre -pro-cessing and post-processing are described , the geographical conditions of the census field annotation work more complete , process.

  10. GeologicSoils_ONSITE

    Data.gov (United States)

    Vermont Center for Geographic Information — ONSITE is a pre-selected subset of SSURGO certified soil data depicting onsite sewage disposal ratings of Vermont soils. The SSURGO county coverages were joined to...

  11. GeologicSoils_SOAG

    Data.gov (United States)

    Vermont Center for Geographic Information — GeologicSoils_SOAG includes a pre-selected subset of SSURGO soil data depicting prime agricultural soils in Vermont. The SSURGO county coverages were joined to the...

  12. H11044N_10GEO: 10-m Interpolated Bathymetric Grid of the Northern Part of National Oceanic and Atmospheric Administration (NOAA) Survey H11044 off Milford, Connecticut (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — During 2001 the NOAA Ship RUDE completed charting survey H11044 that covered a roughly 293 km2 area of the sea floor in north-central Long Island Sound, off Milford...

  13. H11044N_10GEO: 10-m Interpolated Bathymetric Grid of the Northern Part of National Oceanic and Atmospheric Administration (NOAA) Survey H11044 off Milford, Connecticut (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — During 2001 the NOAA Ship RUDE completed charting survey H11044 that covered a roughly 293 km2 area of the sea floor in north-central Long Island Sound, off Milford...

  14. 浅析地理信息系统软件在房产测绘管理中的应用%Application of Geographical Information System in the Management of Real Estate Surveying and Mapping

    Institute of Scientific and Technical Information of China (English)

    龚荣莲

    2013-01-01

    当今社会,经济在不断向前发展,科学也不甘落后,迎来了信息化时代。在多种信息里面,地理信息软件也应运而生。本文介绍了世界上常用的地理信息系统软件,并在此基础上,通过对房产测绘管理模式方法的分析,结合MAPGIS,介绍了地理信息系统在房产测绘中的应用。%Today, in the continuous development of social ec-onomy, science also unwil ings to lag behind, ushered in the e-ra of information. In a variety of information, geographic info-rmation software also emerged as the times require. This paper introduces the world common geographical information syste-m software, based on the analysis of real estate surveying and mapping management method, combined MAPGIS introduces the application of geographic information system in the real es-tate mapping.

  15. GNIS: Geographic Names Information Systems - All features (2013)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

  16. A Promising Tool to Assess Long Term Public Health Effects of Natural Disasters: Combining Routine Health Survey Data and Geographic Information Systems to Assess Stunting after the 2001 Earthquake in Peru.

    Directory of Open Access Journals (Sweden)

    Henny Rydberg

    Full Text Available Research on long-term health effects of earthquakes is scarce, especially in low- and middle-income countries, which are disproportionately affected by disasters. To date, progress in this area has been hampered by the lack of tools to accurately measure these effects. Here, we explored whether long-term public health effects of earthquakes can be assessed using a combination of readily available data sources on public health and geographic distribution of seismic activity.We used childhood stunting as a proxy for public health effects. Data on stunting were attained from Demographic and Health Surveys. Earthquake data were obtained from U.S. Geological Survey's ShakeMaps, geographic information system-based maps that divide earthquake affected areas into different shaking intensity zones. We combined these two data sources to categorize the surveyed children into different earthquake exposure groups, based on how much their area of residence was affected by the earthquake. We assessed the feasibility of the approach using a real earthquake case--an 8.4 magnitude earthquake that hit southern Peru in 2001.Our results indicate that the combination of health survey data and disaster data may offer a readily accessible and accurate method for determining the long-term public health consequences of a natural disaster. Our work allowed us to make pre- and post-earthquake comparisons of stunting, an important indicator of the well-being of a society, as well as comparisons between populations with different levels of exposure to the earthquake. Furthermore, the detailed GIS based data provided a precise and objective definition of earthquake exposure. Our approach should be considered in future public health and disaster research exploring the long-term effects of earthquakes and potentially other natural disasters.

  17. A Promising Tool to Assess Long Term Public Health Effects of Natural Disasters: Combining Routine Health Survey Data and Geographic Information Systems to Assess Stunting after the 2001 Earthquake in Peru.

    Science.gov (United States)

    Rydberg, Henny; Marrone, Gaetano; Strömdahl, Susanne; von Schreeb, Johan

    2015-01-01

    Research on long-term health effects of earthquakes is scarce, especially in low- and middle-income countries, which are disproportionately affected by disasters. To date, progress in this area has been hampered by the lack of tools to accurately measure these effects. Here, we explored whether long-term public health effects of earthquakes can be assessed using a combination of readily available data sources on public health and geographic distribution of seismic activity. We used childhood stunting as a proxy for public health effects. Data on stunting were attained from Demographic and Health Surveys. Earthquake data were obtained from U.S. Geological Survey's ShakeMaps, geographic information system-based maps that divide earthquake affected areas into different shaking intensity zones. We combined these two data sources to categorize the surveyed children into different earthquake exposure groups, based on how much their area of residence was affected by the earthquake. We assessed the feasibility of the approach using a real earthquake case--an 8.4 magnitude earthquake that hit southern Peru in 2001. Our results indicate that the combination of health survey data and disaster data may offer a readily accessible and accurate method for determining the long-term public health consequences of a natural disaster. Our work allowed us to make pre- and post-earthquake comparisons of stunting, an important indicator of the well-being of a society, as well as comparisons between populations with different levels of exposure to the earthquake. Furthermore, the detailed GIS based data provided a precise and objective definition of earthquake exposure. Our approach should be considered in future public health and disaster research exploring the long-term effects of earthquakes and potentially other natural disasters.

  18. The National Map - geographic names

    Science.gov (United States)

    Yost, Lou; Carswell, William J.

    2009-01-01

    The Geographic Names Information System (GNIS), developed by the U.S. Geological Survey (USGS) in cooperation with the U.S. Board on Geographic Names (BGN), contains information about the official names for places, features, and areas in the 50 States, the District of Columbia, the territories and outlying areas of the United States, including Antarctica. It is the geographic names component of The National Map. The BGN maintains working relationships with State names authorities to cooperate in achieving the standardization of geographic names. The GNIS contains records on more than 2 million geographic names in the United States - from populated places, schools, reservoirs, and parks to streams, valleys, springs, ridges, and every feature type except roads and highways. Entries include information such as the federally-recognized name and variant names and spellings for the feature; former names; the status of the name as determined by the BGN; county or counties in which each named feature is located; geographic coordinates that locate the approximate center of an aerial feature or the mouth and source of a linear feature, such as a stream; name of the cell of the USGS topographic map or maps on which the feature may appear; elevation figures derived from the National Elevation Dataset; bibliographic code for the source of the name; BGN decision dates and historical information are available for some features. Data from the GNIS are used for emergency preparedness, mapmaking, local and regional planning, service delivery routing, marketing, site selection, environmental analysis, genealogical research, and other applications.

  19. Breton Island, Louisiana Baseline (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Breton Island, Louisiana Baseline (Geographic, NAD83) consists of vector line data that were input into the Digital Shoreline Analysis System (DSAS) version 4.0,...

  20. Breton Island, Louisiana Baseline (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Breton Island, Louisiana Baseline (Geographic, NAD83) consists of vector line data that were input into the Digital Shoreline Analysis System (DSAS) version 4.0,...

  1. Shot points at 500 shot intervals for EdgeTech 512i chirp seismic-reflection data collected by the U.S. Geological Survey in the Cape Ann - Salisbury Beach, MA survey area (SEISMICSHOT_500, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and...

  2. Survey lines along which Klein 3000 sidescan-sonar data were collected in Buzzards Bay by the U.S. Geological Survey offshore of Massachusetts in 2009, 2010, and 2011 (BB_BackscatterTracklines Esri Polyline Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  3. Survey lines along which SEABed Observation and Sampling System (SEABOSS) video were collected by the U.S. Geological Survey offshore of Massachusetts between Duxbury and Hull (DH_SeabossTrackline shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  4. Survey lines along which Klein 3000 sidescan-sonar data were collected by the U.S. Geological Survey offshore of Massachusetts between Duxbury and Hull (DH_KleinTrackline shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  5. Survey lines along which Klein 3000 sidescan-sonar data were collected by the U.S. Geological Survey offshore of Massachusetts between Duxbury and Hull (DH_KleinTrackline shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  6. Survey lines along which Klein 3000 sidescan-sonar data were collected in Buzzards Bay by the U.S. Geological Survey offshore of Massachusetts in 2009, 2010, and 2011 (BB_BackscatterTracklines Esri Polyline Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  7. Survey lines along which acoustic backscatter data were acquired using a Klein 3000 sidescan sonar and a SWATHplus interferometric sonar offshore of Massachusetts within the northern Cape Cod Bay survey area (CCB_BackscatterTracklines Esri Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  8. Survey lines along which SEABed Observation and Sampling System (SEABOSS) video were collected by the U.S. Geological Survey offshore of Massachusetts between Duxbury and Hull (DH_SeabossTrackline shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  9. USGS Geographic Names Acquisition Plan Objectives for FY17 from The National Map - National Geospatial Data Asset (NGDA) Geographic Names Information System (GNIS)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — U.S. Geological Survey, Department of the Interior - The annual Geographic Names acquisition plan is to collect geographic name data over the United States and its...

  10. Geographic-genetic analysis of Plasmodium falciparum parasite populations from surveys of primary school children in Western Kenya [version 2; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    Irene Omedo

    2017-09-01

    Full Text Available Background. Malaria control, and finally malaria elimination, requires the identification and targeting of residual foci or hotspots of transmission. However, the level of parasite mixing within and between geographical locations is likely to impact the effectiveness and durability of control interventions and thus should be taken into consideration when developing control programs. Methods. In order to determine the geographic-genetic patterns of Plasmodium falciparum parasite populations at a sub-national level in Kenya, we used the Sequenom platform to genotype 111 genome-wide distributed single nucleotide polymorphic (SNP positions in 2486 isolates collected from children in 95 primary schools in western Kenya. We analysed these parasite genotypes for genetic structure using principal component analysis and assessed local and global clustering using statistical measures of spatial autocorrelation. We further examined the region for spatial barriers to parasite movement as well as directionality in the patterns of parasite movement. Results. We found no evidence of population structure and little evidence of spatial autocorrelation of parasite genotypes (correlation coefficients <0.03 among parasite pairs in distance classes of 1km, 2km and 5km; p value<0.01. An analysis of the geographical distribution of allele frequencies showed weak evidence of variation in distribution of alleles, with clusters representing a higher than expected number of samples with the major allele being identified for 5 SNPs. Furthermore, we found no evidence of the existence of spatial barriers to parasite movement within the region, but observed directional movement of parasites among schools in two separate sections of the region studied. Conclusions. Our findings illustrate a pattern of high parasite mixing within the study region. If this mixing is due to rapid gene flow, then “one-off” targeted interventions may not be currently effective at the sub

  11. Geographic-genetic analysis of Plasmodium falciparum parasite populations from surveys of primary school children in Western Kenya [version 1; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    Irene Omedo

    2017-04-01

    Full Text Available Background. Malaria control, and finally malaria elimination, requires the identification and targeting of residual foci or hotspots of transmission. However, the level of parasite mixing within and between geographical locations is likely to impact the effectiveness and durability of control interventions and thus should be taken into consideration when developing control programs. Methods. In order to determine the geographic-genetic patterns of Plasmodium falciparum parasite populations at a sub-national level in Kenya, we used the Sequenom platform to genotype 111 genome-wide distributed single nucleotide polymorphic (SNP positions in 2486 isolates collected from children in 95 primary schools in western Kenya. We analysed these parasite genotypes for genetic structure using principal component analysis and assessed local and global clustering using statistical measures of spatial autocorrelation. We further examined the region for spatial barriers to parasite movement as well as directionality in the patterns of parasite movement. Results. We found no evidence of population structure and little evidence of spatial autocorrelation of parasite genotypes (correlation coefficients <0.03 among parasite pairs in distance classes of 1km, 2km and 5km; p value<0.01. An analysis of the geographical distribution of allele frequencies showed weak evidence of variation in distribution of alleles, with clusters representing a higher than expected number of samples with the major allele being identified for 5 SNPs. Furthermore, we found no evidence of the existence of spatial barriers to parasite movement within the region, but observed directional movement of parasites among schools in two separate sections of the region studied. Conclusions. Our findings illustrate a pattern of high parasite mixing within the study region. If this mixing is due to rapid gene flow, then “one-off” targeted interventions may not be currently effective at the sub

  12. The Geographical Information System

    Directory of Open Access Journals (Sweden)

    Jürgen Schweikart

    2008-12-01

    Full Text Available The Geographical Information System, normally called GIS, is a tool for representing spatial relationships and real processes with the help of a model. A GIS is a system of hardware, software and staff for collecting, managing, analysing and representing geospatial information. For example, we can study the evolution of an infectious disease in a certain territory, perform market analysis, or locate the best ways to choose a new industrial site. In substance, it is data manipulation software for that allows us to have, both the graphic component, that is a territorial representation of the reality that you want to represent, and the data components in the form of a database or more commonly, calculation sheets. Geographical data are divided in spatial data and attribute data: Spatial data are recorded as points, lines and polygons (vectorial structure. In other words, the survey systems have been projected to acquire information in accordance to elementary cells corresponding to a territorial grid (raster structure. It also includes remote sensing data.

  13. The Integrated Surveying and Mapping Technology in Urban Fundamental Geographic Information Data Update and Application%一体化测绘技术在城市基础地理信息数据更新中的应用

    Institute of Scientific and Technical Information of China (English)

    张海涛

    2012-01-01

    In this paper,the integrated surveying and mapping technology in urban foundational geographic information data update application undertook relatively comprehensive analysis.It gires a brief review of the integrated Surveying and mapping technology in digital Surveying and mapping technology in building the system development process.It also discusses the analysis the relationship between the inside and outside operation integration,acquisition and edit integration and database and graph integration technology.At last,it discusses the technological change of the inside and outside operation integration.And it analyzes the aerial acquisition and edit integration,database and graph integration and distributed parallel computing with cluster in foundational geographic information data update.%就一体化测绘技术在基础地理信息数据更新中的应用情况进行了较为全面的分析,简要回顾了一体化测绘技术在数字测绘技术体系建设中的发展过程,分析了内外业一体化与采编一体化和图库一体化技术之间的关系,讨论了内外业一体化技术的变迁,分析了航测采编一体化、图库一体化和集群分布式并行计算等技术在基础地理信息数据更新中的作用。

  14. Understand the picturesque Nature of the Lower St Croix National Scenic and Recreational Riverway: The integrated Use of Historical and Survey Research and Geographic Information Systems Technology

    Directory of Open Access Journals (Sweden)

    David Pitt

    2004-06-01

    Full Text Available Aesthetic expectations of Americans visiting the Lower St Croix National Scenic and Recreational Riverway (riverway, a unit of the United States National Park System stretching along an 84 kilometre reach of the St Croix River between Minnesota and Wisconsin, are rooted in eighteenth-century Picturesque Theory. The ability to decode and map the landscape dimensions of picturesque value makes it possible to manage better visitor expectations related to the picturesque ideal. This paper translates picturesque values distilled from analysis of eighteenth-century theoretical literature, literary accounts of nineteenth-century visitors to the riverway and twentieth-century perceptions of riverway stakeholders into mappable landscape dimensions, which are used to create a spatial model of picturesque value with geographic information systems (GIS technology.

  15. A survey of geographical information systems applications for the Earth Science and Applications Division, Space Sciences Laboratory, Marshall Space Flight Center

    Science.gov (United States)

    Rickman, D.; Butler, K. A.; Laymon, C. A.

    1994-01-01

    The purpose of this document is to introduce Geographical Information System (GIS) terminology and summarize interviews conducted with scientists in the Earth Science and Applications Division (ESAD). There is a growing need in ESAD for GIS technology. With many different data sources available to the scientists comes the need to be able to process and view these data in an efficient manner. Since most of these data are stored in vastly different formats, specialized software and hardware are needed. Several ESAD scientists have been using a GIS, specifically the Man-computer Interactive Data Access System (MCIDAS). MCIDAS can solve many of the research problems that arise, but there are areas of research that need more powerful tools; one such example is the multispectral image analysis which is described in this document. Given the strong need for GIS in ESAD, we recommend that a requirements analysis and implementation plan be developed using this document as a basis for further investigation.

  16. Geographical networks: geographical effects on network properties

    Institute of Scientific and Technical Information of China (English)

    Kong-qing YANG; Lei YANG; Bai-hua GONG; Zhong-cai LIN; Hong-sheng HE; Liang HUANG

    2008-01-01

    Complex networks describe a wide range of sys-tems in nature and society. Since most real systems exist in certain physical space and the distance between the nodes has influence on the connections, it is helpful to study geographi-cal complex networks and to investigate how the geographical constrains on the connections affect the network properties. In this paper, we briefly review our recent progress on geo-graphical complex networks with respect of statistics, mod-elling, robustness, and synchronizability. It has been shown that the geographical constrains tend to make the network less robust and less synchronizable. Synchronization on random networks and clustered networks is also studied.

  17. 如何做好地理国情普查项目的技术负责人%On how to be a Good Technical Director of Geographical Condition Survey Project

    Institute of Scientific and Technical Information of China (English)

    王刚; 于文涛; 赵庆福; 汲旭生

    2014-01-01

    This paper clear out the duty from the technical director perspective of Geographical Condition Survey Project .It detailed to how to perform duty and emphasize the fatal responsibility .Only by doing well in technical management can promising the smooth pro-gress of the project .%从地理国情普查项目技术负责人的角度,明确了其职责并对如何履行进行了细致的阐述,强调技术负责人的责任重大,只有做好技术管理工作,才能保证项目的顺利进行。

  18. 广西测绘地理信息产业发展策略研究%Research on Development Strategies for Guangxi Surveying and Mapping Geographic Information Industry

    Institute of Scientific and Technical Information of China (English)

    陈炳超; 韦水军

    2014-01-01

    从规模、产业主体、从业人员等方面对广西测绘测绘地理信息产业进行深入分析;研究广西测绘地理信息产业发展现状以及问题、测绘地理信息产业潜在需求和市场,提出从创造和改善产业环境、调整产业主体结构,特别是培养高素质人才队伍和技术自主创新到打造特色产业基地的产业发展策略。%To deeply understand the present situation of Guangxi surveying and mapping geo-graphic information industry development ,we discuss the existing problems and do research into the future development strategies through quantitative analysis ,statistical analysis and qualitative theory of surveying and mapping industry .The present situation of geographic information industry of Guan-gxi was analyzed in all aspects from its scale ,body and employees of the industry as well as the exist-ing unreasonable industrial structure ,imperfect market environment ,the lack of senior talents ,the problem such as the weak core competitiveness ,potential demand and market analysis .We put for-ward the idea of creating and improving industrial environment ,by adjusting industrial structure ,cul-tivating high quality talent teams and performing independent innovation in technology ,especially building characteristic industry base by industrial development strategy .

  19. Detecting temporal change in land-surface altitude using robotic land-surveying techniques and geographic information system applications at an earthen dam site in Southern Westchester County, New York

    Science.gov (United States)

    Noll, Michael L.; Chu, Anthony

    2017-08-14

    by using land-surface altitude data that were interpolated from positional data collected during the two topographic surveys. Cross section A–A′ was approximately 8.5 ft long and consisted of three surveyed points that trended north to south across the depression. Land-surface altitude change decreased along the entire north-south trending cross section during the 44 months, and ranged from 0.2 to more than 0.6 ft. In general, greater land-surface altitude change was measured north of the midpoint as compared to south of the midpoint of the cross section. Cross section B–B′ was 18 ft long and consisted of six surveyed points that trended east to west across the depression. Land-surface altitude change generally decreased or remained constant along the east-west trending cross section during the 44 months and ranged from 0.0 to 0.3 ft. Volume change of the depression area was calculated by using a three-dimensional geographic information system utility that subtracts interpolated surfaces. The results indicated a net volume loss of approximately 38 ±5 cubic feet of material from the depression area during the 44 months.

  20. National survey on edentulism and its geographic distribution, among Mexicans 18 years of age and older (with emphasis in WHO age groups).

    Science.gov (United States)

    Medina-Solís, C E; Pérez-Núñez, R; Maupomé, G; Avila-Burgos, L; Pontigo-Loyola, A P; Patiño-Marín, N; Villalobos-Rodelo, J J

    2008-04-01

    To determine the prevalence of edentulism in adults aged 18 years and older in Mexico and to describe its distribution in 20 of the 32 States in Mexico, highlighting the experience in the WHO age groups. A secondary analysis of the National Performance Evaluation Survey 2002-2003 (representative at the state level and part of the Word Health Survey) was undertaken. The sample design was probabilistic, stratified and through conglomerates. Data on dental conditions were available only for 20 of the 32 states of Mexico, leading to a total of 24 159 households (N = 54 638 654). The percentage of edentulism was determined as the proportion of subjects that self-reported complete loss of teeth. Data were analyzed using the SVY module for complex surveys in STATA 8.2. The mean age was 41.3 +/- 17.0 years (range 18-99). An estimated 6.3% (N = 3 437 816) of the population > or =18 years was edentulous. Lowest prevalences were observed in the states of Tlaxcala, Puebla and the Estado de Mexico with 3.4%, 3.8% and 4.5%, respectively. Highest prevalences were observed in San Luis Potosí, Colima, and Michoacán with 10.3%, 10.2% and 10.1%, respectively. Following the WHO age groups, the prevalence ranged from 2.4% in the 35-44 group through 25.5% in the 65-74 group. No obvious association between socio-economic and socio-demographic indicators at the state level and prevalence of edentulism was found. The prevalence of complete tooth loss observed in the present study varied greatly across states, although no straightforward association was found with socio-economic and socio-demographic indicators at the state level. This study could serve as a baseline to enable future evaluations of the oral status of Mexican adults and elders, following WHO age groups.

  1. Prevalence, types, and geographical distribution of Listeria monocytogenes from a survey of retail Queso Fresco and associated cheese processing plants and dairy farms in Sonora, Mexico.

    Science.gov (United States)

    Moreno-Enriquez, R I; Garcia-Galaz, A; Acedo-Felix, E; Gonzalez-Rios, I H; Call, J E; Luchansky, J B; Diaz-Cinco, M E

    2007-11-01

    In the first part of this study, samples were collected from farms, cheese processing plants (CPPs), and retail markets located in various geographical areas of Sonora, Mexico, over a 12-month period during the summer of 2004 and winter of 2005. Four (all Queso Fresco [QF] from retail markets) of 349 total samples tested positive for Listeria monocytogenes (Lm). Of these four positive samples, three were collected in the northern region and one in the southern region of Sonora. Additionally, two were collected during the winter months, and two were collected during the summer months. For the second part of the study, a total of 39 samples from a farm, a CPP, and retail markets were collected and processed according to a combination of the Norma Oficial Mexicana NOM-143-SSA1-1995.10 method (NOM) and the U.S. Food and Drug Administration (FDA) Bacteriological Analytical Manual method, and 27 samples from these same locations were collected and processed according to the U.S. Department of Agriculture Food Safety and Inspection Service method (USDA-FSIS). The NOM-FDA method recovered the pathogen from 6 (15%) of 39 samples (one cheese and five product contact surfaces), while the USDA-FSIS method recovered the pathogen from 5 (18.5%) of 27 samples (all product contact surfaces). In addition, the 40 isolates recovered from the 15 total samples that tested positive for Lm grouped into five distinct pulsotypes that were ca. 60% related, as determined by pulsed-field gel electrophoresis analysis. The results of this study confirmed a 3.4% prevalence of Lm in QF collected from retail markets located in Sonora and no appreciable difference in the effectiveness of either the NOM-FDA or USDA-FSIS method to recover the pathogen from cheese or environmental samples.

  2. The size of the community rather than its geographical location better defines the risk of iodine deficiency: results of an extensive survey in Southern Italy.

    Science.gov (United States)

    Aghini-Lombardi, F; Vitti, P; Antonangeli, L; Fiore, E; Piaggi, P; Pallara, A; Consiglio, E; Pinchera, A

    2013-05-01

    The objective of this study was to establish the status of iodine nutrition in Southern Italy. The survey was carried out on 11-14 yr old children attending primary school and living in urban and non urban areas of 8 regions of Southern Italy. Urinary iodine excretion (UIE) was measured in 23,103 urinary samples randomly collected. Median UIE in the whole studied population was 74 μg/l [interquartile range (IR) 34-139 μg/l]. UIE was significantly higher in chief towns compared to non chief towns (81 μg/l, IR 39-145 μg/l vs 73 μg/l, IR 33-138 μg/l, p500 inhabitants per km² (median 87 μg/l, IR 43-154 μg/l) compared to areas with 100-500 per km² (median 66 μg/l, IR 29-126 μg/l, pdiversification of dietary habits and the easier availability of iodized salt and processed food through commercial facilities, more common in larger communities. Future monitoring surveys should take into account these observations.

  3. Multiple linear regression model for bromate formation based on the survey data of source waters from geographically different regions across China.

    Science.gov (United States)

    Yu, Jianwei; Liu, Juan; An, Wei; Wang, Yongjing; Zhang, Junzhi; Wei, Wei; Su, Ming; Yang, Min

    2015-01-01

    A total of 86 source water samples from 38 cities across major watersheds of China were collected for a bromide (Br(-)) survey, and the bromate (BrO3 (-)) formation potentials (BFPs) of 41 samples with Br(-) concentration >20 μg L(-1) were evaluated using a batch ozonation reactor. Statistical analyses indicated that higher alkalinity, hardness, and pH of water samples could lead to higher BFPs, with alkalinity as the most important factor. Based on the survey data, a multiple linear regression (MLR) model including three parameters (alkalinity, ozone dose, and total organic carbon (TOC)) was established with a relatively good prediction performance (model selection criterion = 2.01, R (2) = 0.724), using logarithmic transformation of the variables. Furthermore, a contour plot was used to interpret the influence of alkalinity and TOC on BrO3 (-) formation with prediction accuracy as high as 71 %, suggesting that these two parameters, apart from ozone dosage, were the most important ones affecting the BFPs of source waters with Br(-) concentration >20 μg L(-1). The model could be a useful tool for the prediction of the BFPs of source water.

  4. Cartography and Geographic Information Science in Current Contents

    OpenAIRE

    Nedjeljko Frančula

    2009-01-01

    The Cartography and Geographic Information Science (CaGIS) journal was published as The American Cartographer from 1974 to 1989, after that as Cartography and Geographic Information System, and since then has been published with its current name. It is published by the Cartography and Geographic Information Society, a member of the American Congress on Surveying and Mapping.

  5. Geographical information systems

    DEFF Research Database (Denmark)

    Möller, Bernd

    2004-01-01

    The chapter gives an introduction to Geographical Information Systems (GIS) with particular focus on their application within environmental management.......The chapter gives an introduction to Geographical Information Systems (GIS) with particular focus on their application within environmental management....

  6. Geographical information systems

    DEFF Research Database (Denmark)

    Möller, Bernd

    2004-01-01

    The chapter gives an introduction to Geographical Information Systems (GIS) with particular focus on their application within environmental management.......The chapter gives an introduction to Geographical Information Systems (GIS) with particular focus on their application within environmental management....

  7. Short-eared Owl (Asio flammeus surveys in the North American Intermountain West: utilizing citizen scientists to conduct monitoring across a broad geographic scale

    Directory of Open Access Journals (Sweden)

    Robert A. Miller

    2016-06-01

    Full Text Available The Short-eared Owl (Asio flammeus is an open-country species breeding in the northern United States and Canada, and has likely experienced a long-term, range-wide, and substantial decline. However, the cause and magnitude of the decline is not well understood. We set forth to address the first two of six previously proposed conservation priorities to be addressed for this species: (1 better define habitat use and (2 improve population monitoring. We recruited 131 volunteers to survey over 6.2 million ha within the state of Idaho for Short-eared Owls during the 2015 breeding season. We surveyed 75 transects, 71 of which were surveyed twice, and detected Short-eared Owls on 27 transects. We performed multiscale occupancy modeling to identify habitat associations, and performed multiscale abundance modeling to generate a state-wide population estimate. Our results suggest that within the state of Idaho, Short-eared Owls are more often found in areas with marshland or riparian habitat or areas with greater amounts of sagebrush habitat at the 1750 ha transect scale. At the 50 ha point scale, Short-eared Owls tend to associate positively with fallow and bare dirt agricultural land and negatively with grassland. Cropland was not chosen at the broader transect scale suggesting that Short-eared Owls may prefer more heterogeneous landscapes. On the surface our results may seem contradictory to the presumed land use by a "grassland" species; however, the grasslands of the Intermountain West, consisting largely of invasive cheatgrass (Bromus tectorum, lack the complex structure shown to be preferred by these owls. We suggest the local adaptation to agriculture represents the next best habitat to their historical native habitat preferences. Regardless, we have confirmed regional differences that should be considered in conservation planning for this species. Last, our results demonstrate the feasibility, efficiency, and effectiveness of utilizing public

  8. Survey tracklines of swath bathymetry collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, Esri polyline shapefile, 2005-004-FA_BATHYTRK.SHP)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  9. Survey tracklines of chirp subbottom data collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, Esri polyline shapefile, CHIRP_TRK.SHP)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  10. Klein 3000 sidescan-sonar survey lines collected in Moultonborough Bay, Lake Winnipesaukee, New Hampshire by the U.S. Geological Survey in 2005 (Geographic, WGS 84, Esri Polyline Shapefile, 2005-004-FA_SONARTRK).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  11. Polygon boundary describing the source surveys used to build the Bathymetric Terrain Model of the U.S. Atlantic Margin of 100-meter resolution compiled by the U.S. Geological Survey (Esri Shapefile, Geographic WGS 84 Coordinate System)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Bathymetric Terrain Models (BTMs) of seafloor morphology are an important component of marine geological investigations. Advances in acquisition and processing...

  12. Polygon Boundary Describing the Source Surveys Used to Build the Bathymetric Terrain Model of the Puerto Rico Trench and Northeastern Caribbean Region Compiled by the U.S. Geological Survey (PRBATHSOURCE, Esri Shapefile, Geographic projection WGS 84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Bathymetric terrain models (BTMs) of seafloor morphology are an important component of marine geological investigations. Advances in acquisition and processing...

  13. CHIRP_TRK.SHP: Survey tracklines of chirp subbottom data collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, Esri polyline shapefile)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  14. Tracklines for bottom video collected using the MINI-SEABOSS sampler in Barnegat Bay, NJ by the U.S. Geological Survey during 3 surveys in 2012 and 2013 (Esri polyline shapefile, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the...

  15. Sediment sample locations and grain size results from samples collected in Barnegat Bay, NJ by the U.S. Geological Survey during 3 surveys in 2012 and 2013 (Esri point shapefile, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the...

  16. Survey lines along which EdgeTech 424 chirp seismic-reflection data were collected by the U.S. Geological Survey in the Barnegat Bay, NJ in 2011, 2012, and 2013 (Esri polyline shapefile, Geographic, WGS 84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the...

  17. 2005-004-FA_SONARTRK: Klein 3000 sidescan-sonar survey lines collected in Moultonborough Bay, Lake Winnipesaukee, New Hampshire by the U.S. Geological Survey in 2005 (Geographic, WGS 84, Esri Polyline Shapefile).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  18. 2005-004-FA_BATHYTRK.SHP: Survey tracklines of swath bathymetry collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, Esri polyline shapefile)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  19. Polygon Boundary Describing the Source Surveys Used to Build the Bathymetric Terrain Model of the Puerto Rico Trench and Northeastern Caribbean Region Compiled by the U.S. Geological Survey (PRBATHSOURCE, Esri Shapefile, Geographic projection WGS 84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Bathymetric terrain models (BTMs) of seafloor morphology are an important component of marine geological investigations. Advances in acquisition and processing...

  20. Geographic Media Literacy

    Science.gov (United States)

    Lukinbeal, Chris

    2014-01-01

    While the use of media permeates geographic research and pedagogic practice, the underlying literacies that link geography and media remain uncharted. This article argues that geographic media literacy incorporates visual literacy, information technology literacy, information literacy, and media literacy. Geographic media literacy is the ability…

  1. SURVEY

    DEFF Research Database (Denmark)

    SURVEY er en udbredt metode og benyttes inden for bl.a. samfundsvidenskab, humaniora, psykologi og sundhedsforskning. Også uden for forskningsverdenen er der mange organisationer som f.eks. konsulentfirmaer og offentlige institutioner samt marketingsafdelinger i private virksomheder, der arbejder...... med surveys. Denne bog gennemgår alle surveyarbejdets faser og giver en praktisk indføring i: • design af undersøgelsen og udvælgelse af stikprøver, • formulering af spørgeskemaer samt indsamling og kodning af data, • metoder til at analysere resultaterne...

  2. The Trade-Off Between Privacy and Geographic Data Resolution. a Case of GPS Trajectories Combined with the Social Survey Results

    Science.gov (United States)

    Sila-Nowicka, K.; Thakuriah, P.

    2016-06-01

    Trajectory datasets are being generated in great volumes due to high levels of Global Positioning System (GPS) and Location-Based Services (LBS) use. Such data are increasingly being collected for a variety of academic, industrial and recreational reasons, sometimes together with other strands of personal data such as socio-demographic, social survey and other sensor data carried/worn by the person. In such cases, not only are movement data of a person available but also data on potentially a wide variety of other personal and household attributes. Making such person-level data available for analytics opens up the possibility of new directions in analysing, studying and understanding human behaviour, which is typically not possible with GPS trajectory datasets alone. At the same time, the GPS data should be released in a privacy-preserving way that takes into account the possibility of re-identification of individuals from quasi-identifiers available from other data strands. De-identification in these strands may be risked due to uniquely identifiable information on significant locations and other spatial behaviours and choices detected from GPS trajectories. Using a multimodal dataset that includes a GPS archive from 358 individuals, and by considering a number of alternative privacy-enhancing approaches, we look at the potential for privacy preservation when personally-identifiable data are available from multiple data strands, for the specific purpose of data to be released for transport research.

  3. Associations of the local food environment with diet quality--a comparison of assessments based on surveys and geographic information systems: the multi-ethnic study of atherosclerosis.

    Science.gov (United States)

    Moore, Latetia V; Diez Roux, Ana V; Nettleton, Jennifer A; Jacobs, David R

    2008-04-15

    There is growing interest in understanding how food environments affect diet, but characterizing the food environment is challenging. The authors investigated the relation between global diet measures (an empirically derived "fats and processed meats" (FPM) dietary pattern and the Alternate Healthy Eating Index (AHEI)) and three complementary measures of the local food environment: 1) supermarket density, 2) participant-reported assessments, and 3) aggregated survey responses of independent informants. Data were derived from the baseline examination (2000-2002) of the Multi-Ethnic Study of Atherosclerosis, a US study of adults aged 45-84 years. A healthy diet was defined as scoring in the top or bottom quintile of AHEI or FPM, respectively. The probability of having a healthy diet was modeled by each environment measure using binomial regression. Participants with no supermarkets near their homes were 25-46% less likely to have a healthy diet than those with the most stores, after adjustment for age, sex, race/ethnicity, and socioeconomic indicators: The relative probability of a healthy diet for the lowest store density category versus the highest was 0.75 (95% confidence interval: 0.59, 0.95) for the AHEI and 0.54 (95% confidence interval: 0.42, 0.70) for FPM. Similarly, participants living in areas with the worst-ranked food environments (by participants or informants) were 22-35% less likely to have a healthy diet than those in the best-ranked food environments. Efforts to improve diet may benefit from combining individual and environmental approaches.

  4. Survey lines along which EdgeTech 424 chirp seismic-reflection data were collected by the U.S. Geological Survey in the Barnegat Bay, NJ in 2011, 2012, and 2013 (Esri polyline shapefile, Geographic, WGS 84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S....

  5. Tracklines for bottom video collected using the MINI-SEABOSS sampler in Barnegat Bay, NJ by the U.S. Geological Survey during 3 surveys in 2012 and 2013 (Esri polyline shapefile, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S....

  6. Sediment sample locations and grain size results from samples collected in Barnegat Bay, NJ by the U.S. Geological Survey during 3 surveys in 2012 and 2013 (Esri point shapefile, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S....

  7. Survey lines along which EdgeTech 424 chirp seismic-reflection data were collected by the U.S. Geological Survey in the Barnegat Bay, NJ in 2011, 2012, and 2013 (Esri polyline shapefile, Geographic, WGS 84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S....

  8. Tracklines for bottom video collected using the MINI-SEABOSS sampler in Barnegat Bay, NJ by the U.S. Geological Survey during 3 surveys in 2012 and 2013 (Esri polyline shapefile, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S....

  9. Sediment sample locations and grain size results from samples collected in Barnegat Bay, NJ by the U.S. Geological Survey during 3 surveys in 2012 and 2013 (Esri point shapefile, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S....

  10. 核心词汇折射中国测绘地理信息发展方向标——从国家及各地区“十二五”《纲要》看中国测绘地理信息的发展脉络%The Core Vocabulary of Refraction Mapping Geographic Information Development Direction in China:From National and Regional "Twelfth Five" "Outline" See China Surveying and Mapping Geographic Information Development

    Institute of Scientific and Technical Information of China (English)

    桂德竹; 徐坤; 刘芳

    2013-01-01

    Realization of Surveying and mapping geographic information science development, the government needs to include the local national economic and social development of " Twelfth Five" , and to give strong support and promote. Through the national and regional economic and social development of " Twelfth Five" program related to surveying and mapping geographic information of high frequency vocabulary comparison, analysis of " Twelfth Five" " during our mapping geographic information development direction.%实现测绘地理信息科学发展,需要各级政府将其列入本地区国民经济和社会发展“十二五”规划,并给予强有力的支持和推动.通过国家及各地区的国民经济和社会发展“十二五”规划纲要中有关测绘地理信息的高频词汇比较,解析“十二五”期间我国测绘地理信息的发展方向.

  11. Geographical National Condition and Complex System

    Directory of Open Access Journals (Sweden)

    WANG Jiayao

    2016-01-01

    Full Text Available The significance of studying the complex system of geographical national conditions lies in rationally expressing the complex relationships of the “resources-environment-ecology-economy-society” system. Aiming to the problems faced by the statistical analysis of geographical national conditions, including the disunity of research contents, the inconsistency of range, the uncertainty of goals, etc.the present paper conducted a range of discussions from the perspectives of concept, theory and method, and designed some solutions based on the complex system theory and coordination degree analysis methods.By analyzing the concepts of geographical national conditions, geographical national conditions survey and geographical national conditions statistical analysis, as well as investigating the relationships between theirs, the statistical contents and the analytical range of geographical national conditions are clarified and defined. This investigation also clarifies the goals of the statistical analysis by analyzing the basic characteristics of the geographical national conditions and the complex system, and the consistency between the analysis of the degree of coordination and statistical analyses. It outlines their goals, proposes a concept for the complex system of geographical national conditions, and it describes the concept. The complex system theory provides new theoretical guidance for the statistical analysis of geographical national conditions. The degree of coordination offers new approaches on how to undertake the analysis based on the measurement method and decision-making analysis scheme upon which the complex system of geographical national conditions is based. It analyzes the overall trend via the degree of coordination of the complex system on a macro level, and it determines the direction of remediation on a micro level based on the degree of coordination among various subsystems and of single systems. These results establish

  12. Airports Geographic Information System -

    Data.gov (United States)

    Department of Transportation — The Airports Geographic Information System maintains the airport and aeronautical data required to meet the demands of the Next Generation National Airspace System....

  13. Discusses the application of geographic information system in the management of real estate surveying and mapping%探讨地理信息系统在房产测绘管理中的应用

    Institute of Scientific and Technical Information of China (English)

    姚芬

    2014-01-01

    With the development of society, urban construction pace is gradually accelerated,reform of housing system has been,information technology has been further thorough,the property management business gradually increase,the ownership change gradually frequently,and gradually form the new trend of diversified property ownership types.And other industries for real estate surveying and mapping management puts forward new requirements.In order to conform to the new situation of the real estate market development,strengthening the management of the housing market and ensure the real estate market order, ensuring the legitimate interests of the property right holder,further to ensure that the housing industry of the healthy and orderly,geographic information system GIS as the foundation and development of real estate surveying and mapping information system.%随着社会的发展,城市建设步伐逐渐加快,住房制度也在不断改革,信息技术得到了进一步的深入,房产管理的业务逐渐增加,权属变更逐渐频繁,并且逐渐构成了房产权属类型多元化的新趋势。并且,其他行业对于房产测绘管理提出了新的要求。为了符合房产市场开发的新局面,强化房产市场管理,保证房产市场秩序,确保房产权利人的合法利益,进一步确保房产业健康有序的进行,将地理信息系统GIS作为房产测绘信息系统的基础并进行发展。

  14. A 10-year wildlife survey of 15 species of Canadian carnivores identifies new hosts or geographic locations for Trichinella genotypes T2, T4, T5, and T6.

    Science.gov (United States)

    Gajadhar, Alvin A; Forbes, Lorry B

    2010-02-26

    A survey of wild carnivores in Canada was conducted over a 10-year period to determine the prevalence and genotypes of Trichinella. Muscle samples collected from 1409 animals representing 15 hosts species were enzymatically digested to recover Trichinella larvae. Larvae were recovered from a total of 287 (20.4%) animals and PCR identified four genotypes of Trichinella. Trichinella nativa was found in 5 host species and was the most commonly found genotype. Trichinella T6 was present in 7 species of carnivores, and coyote and badger are new host records for this genotype. The recovery of T. pseudospiralis and T. murrelli from cougars is the first documentation of these species in Canada and in cougars. The cougar was also the only host species in which all four genotypes of Trichinella were identified. Black bears and walruses had the highest tissue levels of larvae in this study and are also the species most frequently associated with human trichinellosis in Canada. This work identifies additional host species and expanded geographic ranges for 4 genotypes of Trichinella in North America. Failure to demonstrate T. spiralis in wildlife and continued negative results from ongoing surveillance activities in swine provide additional evidence that T. spiralis is not present in Canada.

  15. USGS Geographic Names (GNIS) Overlay Map Service from The National Map - National Geospatial Data Asset (NGDA) Geographic Names Information System (GNIS)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — USGS developed The National Map (TNM) Gazetteer as the Federal and national standard (ANSI INCITS 446-2008) for geographic nomenclature based on the Geographic Names...

  16. Assessing Geographic Information Enhancement

    NARCIS (Netherlands)

    Van Loenen, B.; Zevenbergen, J.

    2010-01-01

    Assessment of geographic information infrastructures (or spatial data infrastructures) is increasingly attracting the attention of researchers in the Geographic information (GI) domain. Especially the assessment of value added GI appears to be complex. By applying the concept of value chain analysis

  17. Environmental geographic information system.

    Energy Technology Data Exchange (ETDEWEB)

    Peek, Dennis W; Helfrich, Donald Alan; Gorman, Susan

    2010-08-01

    This document describes how the Environmental Geographic Information System (EGIS) was used, along with externally received data, to create maps for the Site-Wide Environmental Impact Statement (SWEIS) Source Document project. Data quality among the various classes of geographic information system (GIS) data is addressed. A complete listing of map layers used is provided.

  18. MULTIMEDIA ON GEOGRAPHIC NETWORK

    OpenAIRE

    Merlanti, Danilo

    2012-01-01

    In this thesis we investigate the topic of the multimedia contents distribution on a geo- graphic network which is a rarefied and huge field. First of all we have to classify the main parts necessary in the multimedia distribution on a geographic network. The main aspects of a geographic network that will be highlighted in this thesis are: the mechanism used to retrieve the sources of the multimedia content; in the case of the peer-to-peer network on geographic network one of t...

  19. Secure Geographic Routing Protocols: Issues and Approaches

    CERN Document Server

    sookhak, Mehdi; Haghparast, Mahboobeh; ISnin, Ismail Fauzi

    2011-01-01

    In the years, routing protocols in wireless sensor networks (WSN) have been substantially investigated by researches. Most state-of-the-art surveys have focused on reviewing of wireless sensor network .In this paper we review the existing secure geographic routing protocols for wireless sensor network (WSN) and also provide a qualitative comparison of them.

  20. Secure Geographic Routing Protocols: Issues and Approaches

    Directory of Open Access Journals (Sweden)

    Mehdi sookhak

    2011-09-01

    Full Text Available In the years, routing protocols in wireless sensor networks (WSN have been substantially investigated by researches Most state-of-the-art surveys have focused on reviewing of wireless sensor network .In this paper we review the existing secure geographic routing protocols for wireless sensor network (WSN and also provide a qualitative comparison of them.

  1. Sistema de informação geográfica como apoio ao levantamento detalhado de solos do Vale dos Vinhedos Use of a geographic information system for a detailed soil survey of the Vale dos vinhedos, RS, Brazil

    Directory of Open Access Journals (Sweden)

    Eliana Casco Sarmento

    2008-12-01

    Full Text Available O presente trabalho propõe o emprego de geotécnicas no apoio a um levantamento detalhado de solos, desde a coleta de dados em campo até à delimitação das unidades de solo e, posteriormente, a elaboração de um mapa final. A área de estudo corresponde a uma carta topográfica na escala 1:5.000 do Vale dos Vinhedos, na região da Serra Gaúcha, Rio Grande do Sul, Brasil. O material utilizado consiste em dados planialtimétricos de um levantamento aerofotogramétrico, receptores GPS (Global Posigioning System e softwares de SIG (Sistemas de Informação Geográfica. Os softwares de SIG foram utilizados para integrar os dados de campo com as informações cartográficas e para analisar o relevo por meio de um MNT (Modelo Numérico do Terreno. Os resultados mostraram que o método permite a obtenção de um mapa digital georreferenciado, em que as unidades de mapeamento estão fortemente associadas com as fases de relevo, melhorando sua consistência e confiabilidade e facilitando seu uso futuro para outras aplicações.This study proposes the use of geotechnologies to support detailed soil surveys, from field surveys to the delimitation of mapping units and later the drawing of the final map. The study area corresponds to a topographic map on a scale of 1:5,000 of the Vale dos Vinhedos, in the Serra Gaúcha region, State of Rio Grande do Sul, Brazil. The material used consists of planialtimetric data derived from aerial photographs, navigation GPS (Global Positioning System, and GIS (Geographical Information System software. The GIS program was used to integrate field data with cartographic information and with a DTM (Digital Terrain Model. Results show that the methodology can generate a georreferenced digital map in which soil mapping units are strongly associated with relief phases, improving the consistency and reliability as well as making the use in further applications easier.

  2. Location of sea floor video tracklines along with videos collected in 2014 by the U.S. Geological Survey offshore of Fire Island, NY (MP4 videos files and Esri polyline shapefile, Geographic, WGS 84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) conducted a geophysical and sampling survey in October 2014 that focused on a series of shoreface-attached ridges offshore of...

  3. Location of bottom photographs along with images collected in 2014 by the U.S. Geological Survey offshore of Fire Island, NY (JPEG images and Esri point shapefile, Geographic, WGS 84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) conducted a geophysical and sampling survey in October 2014 that focused on a series of shoreface-attached ridges offshore of...

  4. Geographic Differences in the Earnings of Economics Majors

    Science.gov (United States)

    Winters, John V.; Xu, Weineng

    2014-01-01

    Economics has been shown to be a relatively high-earning college major, but geographic differences in earnings have been largely overlooked. The authors of this article use the American Community Survey to examine geographic differences in both absolute earnings and relative earnings for economics majors. They find that there are substantial…

  5. Discussion on Development and Suggestion of National Surveying Mapping and Geographic Information Industry Vocational Skills Competition%对全国测绘地理信息行业职业技能竞赛活动开展的建议

    Institute of Scientific and Technical Information of China (English)

    杨本廷

    2015-01-01

    In order to promote highly skilled workers development in surveying mapping geographic information in-dustry,the National Surveying Mapping Geographic Information Bureau ,Human Resources and Social Security Ministry , the ACFTU and the CYL Central Committee have co-sponsored the national surveying mapping geographic information industry vocational skills competition three times .It provided an opportunity for the majority of young surveyors to show-case their talents and abilities .The competent authority , surveying units and surveyors attached great importance to and actively participates in the event .In this paper ,the first three national surveying mapping geographic information industry vocational skills competition were summarized and reviewed .Meanwhile,according to the author ’ s own experience,he made recommendations for Surveying Mapping Geographic Information Industry Vocational Skills Competition .%为了推进测绘地理信息行业高技能人才队伍建设,国家测绘地理信息局先后联合人力资源和社会保障部、中华全国总工会、共青团中央共同主办了三届全国测绘地理信息行业职业技能竞赛,为测绘行业广大青年职工提供了展示才华和能力的机会,行业主管部门、各测绘单位及测绘人员对此竞赛活动高度重视并积极参与。本文对前三届全国测绘地理信息行业职业技能竞赛进行了总结与回顾。同时,作者根据自身的工作经验,对测绘地理信息行业职业技能竞赛提出了建议。

  6. 2001 Vectorized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — A first-surface elevation map was produced cooperatively from remotely sensed, geographically referenced elevation measurements collected by the U.S. Geological...

  7. 1950 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — 1950 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83) consists of vector shoreline data that were derived from a set of National Ocean Service...

  8. 1922 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — 1922 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83) consists of vector shoreline data that were derived from a set of National Ocean Service...

  9. 2001 Vectorized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — A first-surface elevation map was produced cooperatively from remotely sensed, geographically referenced elevation measurements collected by the U.S. Geological...

  10. 1869 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — 1869 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83) consists of vector shoreline data that were derived from a set of National Ocean Service...

  11. 1950 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — 1950 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83) consists of vector shoreline data that were derived from a set of National Ocean Service...

  12. Geographic Information Systems.

    Science.gov (United States)

    Wieczorek, William F; Delmerico, Alan M

    2009-01-01

    This chapter presents an overview of the development, capabilities, and utilization of geographic information systems (GIS). There are nearly an unlimited number of applications that are relevant to GIS because virtually all human interactions, natural and man-made features, resources, and populations have a geographic component. Everything happens somewhere and the location often has a role that affects what occurs. This role is often called spatial dependence or spatial autocorrelation, which exists when a phenomenon is not randomly geographically distributed. GIS has a number of key capabilities that are needed to conduct a spatial analysis to assess this spatial dependence. This chapter presents these capabilities (e.g., georeferencing, adjacency/distance measures, overlays) and provides a case study to illustrate how GIS can be used for both research and planning. Although GIS has developed into a relatively mature application for basic functions, development is needed to more seamlessly integrate spatial statistics and models.The issue of location, especially the geography of human activities, interactions between humanity and nature, and the distribution and location of natural resources and features, is one of the most basic elements of scientific inquiry. Conceptualizations and physical maps of geographic space have existed since the beginning of time because all human activity takes place in a geographic context. Representing objects in space, basically where things are located, is a critical aspect of the natural, social, and applied sciences. Throughout history there have been many methods of characterizing geographic space, especially maps created by artists, mariners, and others eventually leading to the development of the field of cartography. It is no surprise that the digital age has launched a major effort to utilize geographic data, but not just as maps. A geographic information system (GIS) facilitates the collection, analysis, and reporting of

  13. Multi-scale geospatial agroecosystem modeling: a case study on the influence of soil data resolution on carbon budget estimates

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, Xuesong; Sahajpal, Ritvik; Manowitz, D.; Zhao, Kaiguang; LeDuc, Stephen D.; Xu, Min; Xiong, Wei; Zhang, Aiping; Izaurralde, Roberto C.; Thomson, Allison M.; West, Tristram O.; Post, W. M.

    2014-05-01

    The development of effective measures to stabilize atmospheric CO2 concentration and mitigate negative impacts of climate change requires accurate quantification of the spatial variation and magnitude of the terrestrial carbon (C) flux. However, the spatial pattern and strength of terrestrial C sinks and sources remain uncertain. In this study, we designed a spatially-explicit agroecosystem modeling system by integrating the Environmental Policy Integrated Climate (EPIC) model with multiple sources of geospatial and surveyed datasets (including crop type map, elevation, climate forcing, fertilizer application, tillage type and distribution, and crop planting and harvesting date), and applied it to examine the sensitivity of cropland C flux simulations to two widely used soil databases (i.e. State Soil Geographic-STATSGO of a scale of 1:250,000 and Soil Survey Geographic-SSURGO of a scale of 1:24,000) in Iowa, USA. To efficiently execute numerous EPIC runs resulting from the use of high resolution spatial data (56m), we developed a parallelized version of EPIC. Both STATSGO and SSURGO led to similar simulations of crop yields and Net Ecosystem Production (NEP) estimates at the State level. However, substantial differences were observed at the county and sub-county (grid) levels. In general, the fine resolution SSURGO data outperformed the coarse resolution STATSGO data for county-scale crop-yield simulation, and within STATSGO, the area-weighted approach provided more accurate results. Further analysis showed that spatial distribution and magnitude of simulated NEP were more sensitive to the resolution difference between SSURGO and STATSGO at the county or grid scale. For over 60% of the cropland areas in Iowa, the deviations between STATSGO- and SSURGO-derived NEP were larger than 1MgCha(-1)yr(-1), or about half of the average cropland NEP, highlighting the significant uncertainty in spatial distribution and magnitude of simulated C fluxes resulting from

  14. A study on Geographic National (Urban) Conditions Monitoring of Beijing

    OpenAIRE

    Liu, Q.

    2014-01-01

    This article investigated and surveyed the current situation of the policy of Geographic National (Urban) Conditions Monitoring in Beijing based on the experimental unit over China carried out by National Administration of Surveying, Mapping and Geoinformation. Then analysed the guarantee of the implement considering the characteristics of programming and construction, policy and regulation in Beijing. Finally presented the frame system of Geographic National (Urban) Conditions Monit...

  15. Hepatitis C virus and HIV seroprevalences, sociodemographic characteristics, behaviors and access to syringes among drug users, a comparison of geographical areas in France, ANRS-Coquelicot 2011 survey.

    Science.gov (United States)

    Weill-Barillet, L; Pillonel, J; Semaille, C; Léon, L; Le Strat, Y; Pascal, X; Barin, F; Jauffret-Roustide, M

    2016-09-01

    People who use drugs (PWUDs) are at a high risk for hepatitis C virus (HCV) and human immunodeficiency virus (HIV), but they have different characteristics depending on the local context. In France, seroprevalence, sociodemographic, and behavior information have only been studied at a national level rather than at a local level. The aim of this study was to describe and examine profile and drug use practice differences in seven French cities and departments and to assess whether these differences can explain HCV and HIV seroprevalence variations between French geographical areas. Data were collected from the cross-sectional ANRS-Coquelicot survey conducted for the second time in 2011 among drug users having injected or snorted drugs at least once in their life. Professional interviewers administrated a face-to-face questionnaire in six different areas in France: Paris, Marseille, Bordeaux, Lille, Strasbourg and the Seine-Saint-Denis department (Paris suburbs). Participants were asked to self-collect a fingerpick blood sample in order to search for the presence of anti-HIV and anti-HCV antibodies and to estimate seroprevalence in PWUDs. Overall, HCV and HIV seroprevalence was 44% [95% CI: 39.6-47.9] and 10% [95% CI: 7.5-12.6] respectively. The highest HCV seroprevalence was 56% in Marseille and the lowest was 24% in Bordeaux and for HIV the highest was 18% in Seine-Saint-Denis and the lowest was 0% in Lille. The population's age differed between areas and could mostly explain HCV seroprevalence variation but not exclusively. Profiles and practices, different in each area, can also explain this variation. In multivariate analysis, HCV seroprevalence was lower in Bordeaux (prevalence ratio [PR]=0.64), Strasbourg (PR=0.76), and Seine-Saint-Denis (PR=0.8) than in Paris. Nearly one-third of injectors declared having had difficulties to obtain syringes in the 6 previous months, but disparities existed between areas. HCV risk exposure in PWUDs remains high in France and

  16. Symposium on Geographic Information Systems.

    Science.gov (United States)

    Felleman, John, Ed.

    1990-01-01

    Six papers on geographic information systems cover the future of geographic information systems, land information systems modernization in Wisconsin, the Topologically Integrated Geographic Encoding and Referencing (TIGER) System of the U.S. Bureau of the Census, satellite remote sensing, geographic information systems and sustainable development,…

  17. Survey lines along which EdgeTech SB-512i chirp seismic-reflection data were collected by the U.S. Geological Survey offshore of Massachusetts within Vineyard Sound by the U.S. Geological Survey in 2009, 2010, and 2011 (VS_SeismicTrackline, ESRI Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  18. Survey lines along which EdgeTech SB-512i chirp seismic-reflection data were collected by the U.S. Geological Survey offshore of Massachusetts within Vineyard Sound by the U.S. Geological Survey in 2009, 2010, and 2011 (VS_SeismicTrackline, ESRI Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  19. Survey lines along which EdgeTech SB-512i chirp seismic-reflection data were collected by the U.S. Geological Survey offshore of Massachusetts within Vineyard Sound by the U.S. Geological Survey in 2009, 2010, and 2011 (VS_SeismicTrackline, ESRI Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  20. Geographical Income Polarization

    DEFF Research Database (Denmark)

    Azhar, Hussain; Jonassen, Anders Bruun

    In this paper we estimate the degree, composition and development of geographical income polarization based on data at the individual and municipal level in Denmark from 1984 to 2002. Rising income polarization is reconfirmed when applying new polarization measures, the driving force being greater...

  1. Making Geographical Futures

    Science.gov (United States)

    Morgan, John

    2015-01-01

    Although there are surprisingly few academic books about geography with the term "future" or "futures" in their titles, this paper indicates that for much of the twentieth century geographers contributed to important discussions about the shape of worlds to come. The paper offers a review of these debates within Anglo-American…

  2. Final Environmental Assessment Realignment of Jenkins Armed Forces Reserve Center (AFRC), Kirtland Air Force Base, New Mexico, BRAC 2005

    Science.gov (United States)

    2007-05-01

    Albuquerque East topographic quad Source: Soil Survey Geographic (SSURGO) database for Bernalillo County. 4-13 Kirtland AFRC BRAC Realignment Final EA...approach to such requirements. Drawing from a national, uniform database , and using a common, systematic approach, EIFS allowing the improved...patent was granted to Myrtle F Friend on March 3, 1927. The assemblage consists entirely of historic artifacts, including: 8 shards of aqua glass (A.D

  3. All_Swath_tracklines.shp - Tracklines of swath bathymetry collected by the U.S. Geological Survey surrounding the eastern Elizabeth Islands and northern Martha's Vineyard, MA, 2011 (Esri polyline shapefile, Geographic WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  4. Color Hill-Shaded GeoTIFF Image Showing the 2-m bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11250 in Eastern Long Island Sound (H11250_GEO_2MMBES.TIF, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has...

  5. Interferometric sonar (swath bathymetry and acoustic backscatter) tracklines collected by the U.S. Geological Survey offshore of Fire Island, NY in 2011 (Geographic, WGS 84, Esri Polyline Shapefile)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) mapped approximately 336 square kilometers of the lower shoreface and inner-continental shelf offshore of Fire Island, New York in...

  6. Chirp sub-bottom profiler 500-shot point interval navigation collected by the U.S. Geological Survey offshore of Fire Island, NY in 2011 (Geographic, WGS 84, Esri Point Shapefile)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) mapped approximately 336 square kilometers of the lower shoreface and inner-continental shelf offshore of Fire Island, New York in...

  7. Stretched Sidescan-Sonar Image of National Oceanic and Atmospheric Administration (NOAA) Survey H11321 in Central Rhode Island Sound (H11321_1M_SSS_GEO_STR.TIF, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial...

  8. Navigation Tracklines of the Puerto Rico Trench U.S. Geological Survey Cruise 03008 (National Oceanic and Atmospheric Administration 0303) February 18 to March 7, 2003 (nav2003.shp, polyline shapefile, geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In 2002 and 2003, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the National Oceanic and Atmospheric...

  9. Navigation Tracklines of the Puerto Rico Trench U.S. Geological Survey Cruise 02051 (National Oceanic and Atmospheric Administration 0208) September 24 to September 30, 2002 (nav2002.shp, polyline shapefile, geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In 2002 and 2003, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the National Oceanic and Atmospheric...

  10. Location of Sea Floor Photographs Acquired During U.S. Geological Survey (USGS) Cruise 2010-010 in Long Island Sound, North of Orient Point, New York (2010-010_OPBOTPHOTOS, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration...

  11. Survey tracklines along which bathymetric data were collected with a SEA, SWATHplus interferometric sonar offshore of Massachusetts within northern Cape Cod Bay (CCB_BathTracklines EsriI Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  12. Interferometric sonar (swath bathymetry and acoustic backscatter) tracklines collected by the U.S. Geological Survey offshore of Fire Island, NY in 2011 (Geographic, WGS 84, Esri Polyline Shapefile)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) mapped approximately 336 square kilometers of the lower shoreface and inner-continental shelf offshore of Fire Island, New York in...

  13. Esri Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12296 in Block Island Sound (H12296_2M_GEO, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  14. 5 meter color-hillshaded relief GeoTIFF of both the inshore and offshore area of Cape Ann - Salisbury Beach Survey Area (CABATH5M_GEOG.TIF, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and...

  15. Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11995 in Rhode Island Sound (H11995_MB2M_GEO.TIF, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  16. Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12023 in Block Island Sound (H12023_MB2M_GEO.TIF, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  17. Esri Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12023 in Block Island Sound (H12023_2M_GEO, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  18. 2011-013-FA_Klein3k_tracklines.shp - Tracklines of Klein 3000 sidescan sonar data collected by the U.S. Geological Survey within Vineyard Sound and Buzzards Bay, MA, 2011 (Esri polyline shapefile, Geographic WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  19. Combined 2-m and Interpolated 10-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12013 Off the Entrance to the Connecticut River in Northeastern Long Island Sound (H12013_INTGEO, Geographic, WGS-84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Connecticut Department of Energy and...

  20. H12012_BOTPHOTOS.SHP: Locations of Sea-Floor Photographs Acquired During U.S. Geological Survey (USGS) Cruise 2010-015-FA Offshore in Northeastern Long Island Sound (Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Connecticut Department of Energy and...

  1. Surficial Sediment Data Collected During U.S. Geological Survey (USGS) Cruise R/V RAFAEL 2012-002-FA in H12296 Study Area in Block Island Sound (2012-002_296SEDDATA.SHP, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  2. Surficial Sediment Data Collected During U.S. Geological Survey Cruises 2009-050-FA and 2010-010-FA Off the Entrance to the Connecticut River in Eastern Long Island Sound (H12013_SEDDATA.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Connecticut Department of Energy and...

  3. 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11922 in Rhode Island Sound West of Gay Head, Massachusetts (H11922_2M_GEO, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  4. 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11445 in Long Island Sound, North of Plum Island, New York (H11445_2M_GEO, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration...

  5. H11251_1MSSS_GEO.TIF: Enhanced Grayscale TIFF Image of the 1-m Sidescan-Sonar Data From National Oceanic and Atmospheric Administration (NOAA) Survey H11251 Offshore of Rocky Point, New York (Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  6. H11076_GEO_1MSSS.TIF: Composite Grayscale Image of the Sidescan Sonar Data From NOAA Survey H11076 of the Sea Floor in Quicks Hole, MA (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  7. H11251_1MSSS_GEO.TIF: Enhanced Grayscale TIFF Image of the 1-m Sidescan-Sonar Data From National Oceanic and Atmospheric Administration (NOAA) Survey H11251 Offshore of Rocky Point, New York (Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  8. H11079_1MGEO_SSS.TIF: 1-meter Composite Grayscale Image of the Sidescan Sonar Data From National Oceanic and Atmospheric Administration (NOAA) Survey H11079 of the Sea Floor in Great Round Shoal Channel, Offshore Massachusetts (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  9. Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11922 in Rhode Island Sound (H11922_2MMB_GEO.TIF, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  10. H11079_1MGEO_SSS.TIF: 1-meter Composite Grayscale Image of the Sidescan Sonar Data From National Oceanic and Atmospheric Administration (NOAA) Survey H11079 of the Sea Floor in Great Round Shoal Channel, Offshore Massachusetts (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  11. 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11997 Offshore in Eastern Long Island Sound (H11997_2M_GEO, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  12. H11076_GEO_1MSSS.TIF: Composite Grayscale Image of the Sidescan Sonar Data From NOAA Survey H11076 of the Sea Floor in Quicks Hole, MA (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  13. H11251_2M_GEO: 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11251 Offshore of Rocky Point, New York (Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  14. Location of Sea-Floor Photographs Acquired During U.S. Geological Survey (USGS) Cruise 06005 (RAFA06005) in Great Round Shoal Channel, Offshore Massachusetts (RAF06005_BOTPHOTOS, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  15. H11320_1M_SSS_GEO_EN.TIF: Enhanced Composite Sidescan Sonar Mosaic of National Oceanic and Atmospheric Administration (NOAA) Survey H11320 in Rhode Island Sound (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in...

  16. U.S. Geological Survey calculated recurrence interval of sediment mobility at select points in the South Atlantic Bight for May 2010 to May 2011 (SAB_mobile_freq, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey has been characterizing the regional variation in shear stress on the sea floor and sediment mobility through statistical descriptors. The...

  17. U.S. Geological Survey calculated 95th percentile of wave-current bottom shear stress for the South Atlantic Bight for May 2010 to May 2011 (SAB_95th_perc, polygon shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey has been characterizing the regional variation in shear stress on the sea floor and sediment mobility through statistical descriptors. The...

  18. U.S. Geological Survey calculated percentage of time sediment is mobile for May 2010 to May 2011 at select points in the South Atlantic Bight (SAB_mobile_perc, point shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey has been characterizing the regional variation in shear stress on the sea floor and sediment mobility through statistical descriptors. The...

  19. Composite sidescan sonar mosaic of National Oceanic and Atmospheric Administration (NOAA) survey H11044 in West-Central Long Island Sound off Milford, Connecticut (H11044_GEO_WGS84.TIF, geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey, in cooperation with the National Oceanographic and Atmospheric Administration and the Connecticut Department of Environmental Protection,...

  20. Location of Sea-Floor Photographs Acquired During U.S. Geological Survey (USGS) Cruise 2012-002-FA in Block Island Sound (2012-002_023BOTPHOTOS shapefile, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the...

  1. Interpretation of Sedimentary Environments from National Oceanic and Atmospheric Administration (NOAA) Survey H11922 West of Gay Head, Massachusetts, in Eastern Rhode Island Sound (H11922_SEDENV.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the...

  2. Esri Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12023 in Block Island Sound (H12023_2M_GEO, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the...

  3. H11321_1M_SSS_GEO_STR.TIF: Stretched Sidescan-Sonar Image of National Oceanic and Atmospheric Administration (NOAA) Survey H11321 in Central Rhode Island Sound (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial...

  4. H11077_05GEO: 0.5-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11077 in the Vicinity of Woods Hole, Massachusetts (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  5. IR_ROUTES_CALIB.SHP: Shot-point calibrated trackline navigation for chirp seismic data collected in Indian River Bay, Delaware, on April 13, 2010, on U.S. Geological Survey Field Activity 2010-006-FA (Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was...

  6. COMP2M_GEO: Composite 2-m Bathymetric ArcRaster Grid of National Oceanic and Atmospheric Administration (NOAA) Surveys H11252 and H11361 from Eastern Long Island Sound (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has...

  7. JD105HYPACK.SHP: Parsed HYPACK navigation from April 15, 2010 of U.S. Geological Survey Field Activity 2010-006-FA in Indian River Bay, Delaware (Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was...

  8. IR_SEISNAV.SHP: Unique shot point navigation for chirp seismic data collected in Indian River Bay, Delaware, April 13, 2010, on U.S. Geological Survey Field Activity 2010-006-FA (Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was...

  9. Location of Sea-Floor Photographs Acquired During U.S. Geological Survey (USGS) Cruise 2012-002-FA in Block Island Sound (2012-002_296BOTPHOTOS shapefile, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  10. H12012_SEDENV.SHP: Interpretation of Sedimentary Environments Within the Area of National Oceanic and Atmospheric Administration (NOAA) Survey H12013 Offshore in Northeastern Long Island Sound (Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Connecticut Department of Energy and...

  11. Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12023 in Block Island Sound (H12023_MB2M_GEO.TIF, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the...

  12. Stretched Sidescan-Sonar Image of National Oceanic and Atmospheric Administration (NOAA) Survey H11321 in Central Rhode Island Sound (H11321_1M_SSS_GEO_STR.TIF, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial...

  13. Navigation Tracklines of the Puerto Rico Trench U.S. Geological Survey Cruise 02051 (National Oceanic and Atmospheric Administration 0208) September 24 to September 30, 2002 (nav2002.shp, polyline shapefile, geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In 2002 and 2003, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the National Oceanic and Atmospheric...

  14. Color Hill-Shaded GeoTIFF Image Showing the 2-m bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11250 in Eastern Long Island Sound (H11250_GEO_2MMBES.TIF, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has...

  15. 1-meter Composite Mosaic of the Sidescan Sonar Survey National Oceanic and Atmospheric Administration (NOAA) H11045 in west-central Long Island Sound off Bridgeport, Connecticut in Geographic (H11045_GEO1M_WGS84_INV.TIF)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has...

  16. Chirp sub-bottom profiler 500-shot point interval navigation collected by the U.S. Geological Survey offshore of Fire Island, NY in 2011 (Geographic, WGS 84, Esri Point Shapefile)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) mapped approximately 336 square kilometers of the lower shoreface and inner-continental shelf offshore of Fire Island, New York in...

  17. Interpretation of Sedimentary Environments from National Oceanic and Atmospheric Administration (NOAA) Survey H11922 West of Gay Head, Massachusetts, in Eastern Rhode Island Sound (H11922_SEDENV.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  18. U.S. Geological Survey calculated median of wave-current bottom shear stress in the South Atlantic Bight from May 2010 to May 2011 (SAB_median, polygon shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey has been characterizing the regional variation in shear stress on the sea floor and sediment mobility through statistical descriptors. The...

  19. Interpretation of Sedimentary Environments from National Oceanic and Atmospheric Administration (NOAA) Survey H12007 in the Vicinity of Cross Rip Channel in Nantucket Sound, Offshore Southeastern Massachusetts (H12007_SEDENV.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  20. U.S. Geological Survey calculated median of wave-current bottom shear stress in the South Atlantic Bight from May 2010 to May 2011 (SAB_median, polygon shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey has been characterizing the regional variation in shear stress on the sea floor and sediment mobility through statistical descriptors....

  1. U.S. Geological Survey calculated percentage of time sediment is mobile for May 2010 to May 2011 at select points in the South Atlantic Bight (SAB_mobile_perc, point shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey has been characterizing the regional variation in shear stress on the sea floor and sediment mobility through statistical descriptors....

  2. U.S. Geological Survey calculated recurrence interval of sediment mobility at select points in the South Atlantic Bight for May 2010 to May 2011 (SAB_mobile_freq, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey has been characterizing the regional variation in shear stress on the sea floor and sediment mobility through statistical descriptors....

  3. Color Shaded-Relief GeoTIFF Image Showing the 1-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11076 in Quicks Hole, Elizabeth Islands, MA (H11076_GEO_1MMBES.TIF, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  4. ESRI Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11995 in Rhode Island Sound (H11995_2M_GEO, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  5. Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12296 in Block Island Sound (H12296_MB2M_GEO.TIF, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  6. Esri Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12296 in Block Island Sound (H12296_2M_GEO, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  7. 2010-047-FA_Boomer_tracklines.shp - Tracklines of multichannel boomerseismic reflection data collected by the U.S. Geological Survey in Vineyard Sound and Buzzards Bay, MA, 2010 (Esri polyline shapefile, Geographic WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  8. U.S. Geological Survey calculated 95th percentile of wave-current bottom shear stress for the South Atlantic Bight for May 2010 to May 2011 (SAB_95th_perc, polygon shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey has been characterizing the regional variation in shear stress on the sea floor and sediment mobility through statistical descriptors....

  9. 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11446 in Long Island Sound, North of Orient Point, New York (H11446_2M_GEO, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration...

  10. Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12023 in Block Island Sound (H12023_MB2M_GEO.TIF, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  11. 0.5-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11077 in the Vicinity of Woods Hole, Massachusetts (H11077_05GEO, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  12. Survey tracklines along which bathymetric data were collected with a SEA, SWATHplus interferometric sonar offshore of Massachusetts within northern Cape Cod Bay (CCB_BathTracklines EsriI Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  13. Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H12013 Off the Entrance to the Connecticut River in Eastern Long Island Sound (H12013_INTERP.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Connecticut Department of Energy and...

  14. 1-m Bathymetric Grid Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12007 in the Vicinity of Cross Rip Channel, Nantucket Sound (H12007_GEO, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the...

  15. Combined 2-m and Interpolated 10-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12013 Off the Entrance to the Connecticut River in Northeastern Long Island Sound (H12013_INTGEO, Geographic, WGS-84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Connecticut Department of Energy and...

  16. Interpretation of Sedimentary Environments from National Oceanic and Atmospheric Administration (NOAA) Survey H12013 Off the Mouth of the Connecticut River in Eastern Long Island Sound (H12013_SEDENV.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Connecticut Department of Energy and...

  17. Navigation Tracklines of the Puerto Rico Trench U.S. Geological Survey Cruise 03008 (National Oceanic and Atmospheric Administration 0303) February 18 to March 7, 2003 (nav2003.shp, polyline shapefile, geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In 2002 and 2003, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the National Oceanic and Atmospheric...

  18. Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H12013 Off the Entrance to the Connecticut River in Eastern Long Island Sound (H12013_INTERP.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Connecticut Department of Energy and...

  19. tracklines_2010_072_FA.shp: Tracklines of swath bathymetry collected by the U.S. Geological Survey surrounding Muskeget Channel, MA, 2010 (Esri polyline shapefile, Geographic WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected in a collaboration between the Woods Hole Oceanographic Institution and the U.S. Geological Survey (USGS). The primary objective of this...

  20. Sidescan sonar polyline shapefile of trackline navigation files collected by the U.S. Geological Survey in the Madison Swanson and Steamboat Lumps Marine Protected Areas, Gulf of Mexico in 2000 (Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) mapped approximately 22 square miles of the Madison Swanson Marine Protected Area (MPA) and Steamboat Lumps MPA, which are located...

  1. Survey tracklines along which bathymetric data were collected with a SEA, SWATHplus interferometric sonar offshore of Massachusetts within northern Cape Cod Bay (CCB_BathTracklines EsriI Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  2. Enhanced Sidescan-Sonar Image of National Oceanic and Atmospheric Administration (NOAA) survey H11044 in Long Island Sound (H11044_SSSGEO1M_WGS84.TIF, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has...

  3. Composite sidescan sonar mosaic of National Oceanic and Atmospheric Administration (NOAA) survey H11044 in West-Central Long Island Sound off Milford, Connecticut (H11044_GEO_WGS84.TIF, geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey, in cooperation with the National Oceanographic and Atmospheric Administration and the Connecticut Department of Environmental Protection,...

  4. 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11997 Offshore in Eastern Long Island Sound (H11997_2M_GEO, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal...

  5. 0.5-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11077 in the Vicinity of Woods Hole, Massachusetts (H11077_05GEO, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  6. Location of Sea-Floor Photographs Acquired During U.S. Geological Survey (USGS) Cruise 07034 (RAFA07034) in the Vicinity of Woods Hole, Offshore Massachusetts (RAFA07034_BOTPHOTOS, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  7. H11077_05GEO: 0.5-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11077 in the Vicinity of Woods Hole, Massachusetts (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  8. 1.5-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11077 in the Vicinity of Woods Hole, Massachusetts (H11077_1-5GEO, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone...

  9. Using Educational Tourism in Geographical Education

    OpenAIRE

    PRAKAPIENĖ, Dalia; OLBERKYTĖ, Loreta

    2014-01-01

    The article analyses and defines the concept of educational tourism, presents the structure of the concept and looks into the opportunities for using educational tourism in geographical education. In order to reveal such opportunities a research was carried out in the Lithuanian national and regional parks using the qualitative method of content analysis and the quantitative method of questionnaire survey. The authors of the research identified the educational excursion activities conducted i...

  10. Geographical orientation. An integral geoperspective

    Directory of Open Access Journals (Sweden)

    Cristóbal Cobo Arízaga

    2013-12-01

    This approach seeks to create a new line of discussion, to launch a proposal that is scientifically challenging to the hegemony of geographical thought and that provides new geographical rationality structures.

  11. Geographical Income Polarization

    DEFF Research Database (Denmark)

    Azhar, Hussain; Jonassen, Anders Bruun

    In this paper we estimate the degree, composition and development of geographical income polarization based on data at the individual and municipal level in Denmark from 1984 to 2002. Rising income polarization is reconfirmed when applying new polarization measures, the driving force being greater...... inter municipal income inequality. Counter factual simulations show that rising property prices to a large part explain the rise in polarization. One side-effect of polarization is tendencies towards a parallel polarization of residence location patterns, where low skilled individuals tend to live...

  12. Marine magnetics data collected by the U.S. Geological Survey in U.S. Atlantic Seaboard in 2014 (Geographic, WGS84, point shapefile 2014-011-FA_mag.shp)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In summer 2014, the U.S. Geological Survey conducted a 21-day geophysical program in deep water along the Atlantic continental margin by using R/V Marcus G. Langseth...

  13. Trackline navigation for multi-channel seismic data collected by the U.S. Geological Survey on U.S. Atlantic Seaboard in 2014 (Geographic, WGS84, polyline shapefile 2014-011-FA_seistrk.shp)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In summer 2014, the U.S. Geological Survey conducted a 21-day geophysical program in deep water along the Atlantic continental margin by using R/V Marcus G. Langseth...

  14. Analyzing geographic clustered response

    Energy Technology Data Exchange (ETDEWEB)

    Merrill, D.W.; Selvin, S.; Mohr, M.S.

    1991-08-01

    In the study of geographic disease clusters, an alternative to traditional methods based on rates is to analyze case locations on a transformed map in which population density is everywhere equal. Although the analyst's task is thereby simplified, the specification of the density equalizing map projection (DEMP) itself is not simple and continues to be the subject of considerable research. Here a new DEMP algorithm is described, which avoids some of the difficulties of earlier approaches. The new algorithm (a) avoids illegal overlapping of transformed polygons; (b) finds the unique solution that minimizes map distortion; (c) provides constant magnification over each map polygon; (d) defines a continuous transformation over the entire map domain; (e) defines an inverse transformation; (f) can accept optional constraints such as fixed boundaries; and (g) can use commercially supported minimization software. Work is continuing to improve computing efficiency and improve the algorithm. 21 refs., 15 figs., 2 tabs.

  15. Demographics, Management Strategies, and Problems in ST-Elevation Myocardial Infarction from the Standpoint of Emergency Medicine Specialists: A Survey-Based Study from Seven Geographical Regions of Turkey

    Science.gov (United States)

    Kayipmaz, Afsin Emre; Karacaglar, Emir; Muderrisoglu, Haldun

    2016-01-01

    Background This study aimed to explore the ST segment elevation myocardial infarction (STEMI) management practices of emergency medicine specialists working in various healthcare institutions of seven different geographical regions of Turkey, and to examine the characteristics of STEMI presentation and patient admissions in these regions. Methods We included 225 emergency medicine specialists working in all geographical regions of Turkey. We e-mailed them a 20-item questionnaire comprising questions related to their STEMI management practices and characteristics of STEMI presentation and patient admissions. Results The regions were not significantly different with respect to primary percutaneous coronary intervention (PCI) resources (p = 0.286). Sixty six point two percent (66.2%) of emergency specialists stated that patients presented to emergency within 2 hours of symptom onset. Forty three point six percent (43.6%) of them contacted cardiology department within 10 minutes and 47.1% within 30 minutes. In addition, 68.3% of the participants improved themselves through various educational activities. The Southeastern Anatolian region had the longest time from symptom onset to emergency department admission and the least favorable hospital admission properties, not originating from physicians or 112 emergency healthcare services. Conclusion Seventy point seven percent (70.7%) of the emergency specialists working in all geographical regions of Turkey comply with the latest guidelines and current knowledge about STEMI care; they also try to improve themselves, and receive adequate support from 112 emergency healthcare services and cardiologists. While inter-regional gaps between the number of primary PCI capable centers and quality of STEMI care progressively narrow, there are still issues to address, such as delayed patient presentation after symptoms onset and difficulties in patient admission. PMID:27760229

  16. 4-m Grid of Combined Multibeam and LIDAR Bathymetry from National Oceanic and Atmospheric Administration (NOAA) Surveys H11441 and H11224 offshore of New London, Connecticut (NLONDON_GEO, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Nearshore areas within Long Island Sound are of great interest to the Connecticut and New York research and management communities because of their ecological,...

  17. Sediment sample and textural properties at 40 sample locations collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, Esri point shapefile, 2005-004-FA_SAMPLES.SHP)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  18. Text files of the Wide Area Augmentation System (WAAS) navigation collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, HYPACK ASCII Text Files)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  19. Sound velocity profile locations collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, Esri point shapefile, 2005-004-FA_SVP.SHP)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  20. Trackline navigation for video data from 40 sample locations collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, Esri polyline shapefile, 2005-004-FA_VIDEOTRK.SHP)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  1. Locations of bottom photographs collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, Esri point shapefile, 2005-004-FA_PHOTOS.SHP)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  2. Location of sound velocity profiles along with profile plots collected by the U.S. Geological Survey in 2014 along the Delmarva Peninsula, MD and VA (PNG images, CSV text, and Esri point shapefile, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The Delmarva Peninsula is a 220-kilometer-long headland, spit, and barrier island complex that was significantly affected by Hurricane Sandy. A U.S. Geological...

  3. Location of bottom photographs along with images collected by the U.S. Geological Survey in 2014 along the Delmarva Peninsula, MD and VA (JPEG images and Esri point shapefile, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The Delmarva Peninsula is a 220-kilometer-long headland, spit, and barrier island complex that was significantly affected by Hurricane Sandy. A U.S. Geological...

  4. 2005-004-FA_SAMPLES.SHP: Sediment sample and textural properties at 40 sample locations collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, Esri point shapefile)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  5. Color Shaded-Relief Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11255 in Long Island Sound (H11255_GEO_2MBATHY.TIF, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Digital terrain models (DTMs) produced from multibeam bathymetric data provide valuable base maps for marine geological interpretations. These maps help define the...

  6. Data Layer Containing the Features Interpreted to be on the Sea Floor within the National Oceanic and Atmospheric Administration (NOAA) H11255 Survey Area in Southeastern Long Island Sound (H11255INTERP.SHP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Digital terrain models (DTMs) produced from multibeam bathymetric data provide valuable base maps for marine geological interpretations. These maps help define the...

  7. Polyline-M Shapefile of Navigation Tracklines for Autonomous Surface Vessel IRIS Chirp Seismic Data in Apalachicola Bay collected on U.S. Geological Survey Cruise 06001 (ASV_LINES_CALIBRATED.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the...

  8. Location and analyses of sediment samples collected by the U.S. Geological Survey in 2015 along the Delmarva Peninsula, MD and VA (Esri point shapefile and CSV file, Geographic, WGS 84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The Delmarva Peninsula is a 220-kilometer-long headland, spit, and barrier island complex that was significantly affected by Hurricane Sandy in the fall of 2012. The...

  9. 4-m Grid of Combined Multibeam and LIDAR Bathymetry from National Oceanic and Atmospheric Administration (NOAA) Surveys H11442 and H11225 offshore of Niantic, Connecticut (NIANTIC_GEO, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Nearshore areas within Long Island Sound are of great interest to the Connecticut and New York research and management communities because of their ecological,...

  10. 4-m Grid of Combined Multibeam and LIDAR Bathymetry from National Oceanic and Atmospheric Administration (NOAA) Surveys H11441, H11442, H11224, and H11225 offshore of New London and Niantic, Connecticut (NLNB_GEO, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Nearshore areas within Long Island Sound are of great interest to the Connecticut and New York research and management communities because of their ecological,...

  11. Locations of Sea-Floor Photographs Acquired During U.S. Geological Survey (USGS) Cruise 2011-006-FA in Block Island Sound (2011_006_BISBOTPHOTOS.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The USGS, in cooperation with NOAA, is producing detailed maps of the seafloor off southern New England. The current phase of this cooperative research program is...

  12. Surficial Sediment Data Collected During U.S. Geological Survey (USGS) RV Rafael cruise 2011-006-FA in Block Island Sound off Southwestern Rhode Island (2011_006BISSEDDATA.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The USGS, in cooperation with NOAA, is producing detailed maps of the seafloor off southern New England. The current phase of this cooperative research program is...

  13. Point Shapefile of the Interpreted Seafloor Horizon Based on Seismic-Reflection Profiles Collected in Apalachicola Bay in 2006 from U.S. Geological Survey Cruise 06001 (SEAFLOOR_GEOG.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the...

  14. Point Shapefile of 1000 Interval Seismic Shotpoint Navigation for Autonomous Surface Vessel IRIS Chirp Seismic Data in Apalachicola Bay Collected on U.S. Geological Survey Cruise 06001 (ASV_1000SHOT_SORT.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the...

  15. 4-m Grid of Combined Multibeam and LIDAR Bathymetry from National Oceanic and Atmospheric Administration (NOAA) Surveys H11442 and H11225 offshore of Niantic, Connecticut (NIANTIC_GEO, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Nearshore areas within Long Island Sound are of great interest to the Connecticut and New York research and management communities because of their ecological,...

  16. 4-m Grid of Combined Multibeam and LIDAR Bathymetry from National Oceanic and Atmospheric Administration (NOAA) Surveys H11441, H11442, H11224, and H11225 offshore of New London and Niantic, Connecticut (NLNB_GEO, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Nearshore areas within Long Island Sound are of great interest to the Connecticut and New York research and management communities because of their ecological,...

  17. Point Shapefile of the Interpreted Seafloor Horizon Based on Seismic-Reflection Profiles Collected in Apalachicola Bay in 2006 from U.S. Geological Survey Cruise 06001 (SEAFLOOR_GEOG.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the...

  18. Polyline-M Shapefile of Navigation Tracklines for Autonomous Surface Vessel IRIS Chirp Seismic Data in Apalachicola Bay collected on U.S. Geological Survey Cruise 06001 (ASV_LINES_CALIBRATED.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the...

  19. CAPENORTH_GEO4M_XYZ.TXT: ASCII formatted file of the 4-m bathymetry from the northern half of USGS survey 98015 of the Sea Floor off Eastern Cape Cod (Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This data set includes bathymetry of the sea floor offshore of eastern Cape Cod, Massachusetts. The data were collected with a multibeam sea floor mapping system...

  20. ASCII formatted file of the 4-m bathymetry from the northern half of USGS survey 98015 of the Sea Floor off Eastern Cape Cod (CAPENORTH_GEO4M_XYZ.TXT, Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This data set includes bathymetry of the sea floor offshore of eastern Cape Cod, Massachusetts. The data were collected with a multibeam sea floor mapping system...

  1. Surficial Sediment Data Collected During U.S. Geological Survey (USGS) RV Rafael cruise 2011-006-FA in Block Island Sound off Southwestern Rhode Island (2011_006BISSEDDATA.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The USGS, in cooperation with NOAA, is producing detailed maps of the seafloor off southern New England. The current phase of this cooperative research program is...

  2. Locations of Sea-Floor Photographs Acquired During U.S. Geological Survey (USGS) Cruise 2011-006-FA in Block Island Sound (2011_006_BISBOTPHOTOS.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The USGS, in cooperation with NOAA, is producing detailed maps of the seafloor off southern New England. The current phase of this cooperative research program is...

  3. 2005-004-FA_PHOTOS.SHP: Location and JPEG images of bottom photographs collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, Esri point shapefile)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  4. 2005-004-FA_SVP.SHP: Sound velocity profile locations collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, Esri point shapefile)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  5. 2005-004-FA_VIDEOTRK.SHP: Trackline navigation for video data from 40 sample locations collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, Esri polyline shapefile)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  6. Point Shapefile of the Interpreted Flooding Surface Isopach Based on Seismic-Reflection Profiles Collected in Apalachicola Bay in 2006 from U.S. Geological Survey Cruise 06001 (FLOODISO_GEOG.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the...

  7. All Autonomous Surface Vessel IRIS Shotpoint Navigation for Chirp Seismic Data in Apalachicola Bay collected on U.S. Geological Survey Cruise 06001 (ALLASV_NODUPES_SORT.SHP, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the...

  8. ASCII formatted file of the 4-m bathymetry from the southern half of USGS Survey 98015 of the Sea Floor off Eastern Cape Cod (CAPESOUTH_GEO4M_XYZ.TXT, Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This data set includes bathymetry of the sea floor offshore of eastern Cape Cod, Massachusetts. The data were collected with a multibeam sea floor mapping system...

  9. Location and analysis of sediment samples collected by the U.S. Geological Survey in 2014 along the Delmarva Peninsula, MD and VA (Esri point shapefile and CSV file, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The Delmarva Peninsula is a 220-kilometer-long headland, spit, and barrier island complex that was significantly affected by Hurricane Sandy. A U.S. Geological...

  10. Data Layer Containing the Features Interpreted to be on the Sea Floor within the National Oceanic and Atmospheric Administration (NOAA) H11255 Survey Area in Southeastern Long Island Sound (H11255INTERP.SHP, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Digital terrain models (DTMs) produced from multibeam bathymetric data provide valuable base maps for marine geological interpretations. These maps help define the...

  11. Color Shaded-Relief Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11255 in Long Island Sound (H11255_GEO_2MBATHY.TIF, Geographic)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Digital terrain models (DTMs) produced from multibeam bathymetric data provide valuable base maps for marine geological interpretations. These maps help define the...

  12. Location of sound velocity profiles along with profile plots collected by the U.S. Geological Survey in 2014 along the Delmarva Peninsula, MD and VA (PNG images, CSV text, and Esri point shapefile, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The Delmarva Peninsula is a 220-kilometer-long headland, spit, and barrier island complex that was significantly affected by Hurricane Sandy. A U.S. Geological...

  13. 2005-004-FA_HYPACK: Text files of the Wide Area Augmentation System (WAAS) navigation collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, HYPACK ASCII Text Files)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once...

  14. Coloring geographical threshold graphs

    Energy Technology Data Exchange (ETDEWEB)

    Bradonjic, Milan [Los Alamos National Laboratory; Percus, Allon [Los Alamos National Laboratory; Muller, Tobias [EINDHOVEN UNIV. OF TECH

    2008-01-01

    We propose a coloring algorithm for sparse random graphs generated by the geographical threshold graph (GTG) model, a generalization of random geometric graphs (RGG). In a GTG, nodes are distributed in a Euclidean space, and edges are assigned according to a threshold function involving the distance between nodes as well as randomly chosen node weights. The motivation for analyzing this model is that many real networks (e.g., wireless networks, the Internet, etc.) need to be studied by using a 'richer' stochastic model (which in this case includes both a distance between nodes and weights on the nodes). Here, we analyze the GTG coloring algorithm together with the graph's clique number, showing formally that in spite of the differences in structure between GTG and RGG, the asymptotic behavior of the chromatic number is identical: {chi}1n 1n n / 1n n (1 + {omicron}(1)). Finally, we consider the leading corrections to this expression, again using the coloring algorithm and clique number to provide bounds on the chromatic number. We show that the gap between the lower and upper bound is within C 1n n / (1n 1n n){sup 2}, and specify the constant C.

  15. A multidimensional representation model of geographic features

    Science.gov (United States)

    Usery, E. Lynn; Timson, George; Coletti, Mark

    2016-01-28

    A multidimensional model of geographic features has been developed and implemented with data from The National Map of the U.S. Geological Survey. The model, programmed in C++ and implemented as a feature library, was tested with data from the National Hydrography Dataset demonstrating the capability to handle changes in feature attributes, such as increases in chlorine concentration in a stream, and feature geometry, such as the changing shoreline of barrier islands over time. Data can be entered directly, from a comma separated file, or features with attributes and relationships can be automatically populated in the model from data in the Spatial Data Transfer Standard format.

  16. International Refugees: A Geographical Perspective.

    Science.gov (United States)

    Demko, George J.; Wood, William B.

    1987-01-01

    Examines the problem of international refugees from a geographical perspective. Focuses on sub-saharan Africa, Afghanistan, Central America, and southeast Asia. Concludes that geographers can and should use their skills and intellectual tools to address and help resolve this global problem. (JDH)

  17. Adaptive Cartography and Geographical Education

    Science.gov (United States)

    Konecny, Milan; Stanek, Karel

    2010-01-01

    The article focuses on adaptive cartography and its potential for geographical education. After briefly describing the wider context of adaptive cartography, it is suggested that this new cartographic approach establishes new demands and benefits for geographical education, especially in offering the possibility for broader individual…

  18. Locations of photographs acquired using a SEABed Observation and Sampling System (SEABOSS) within Barnegat Bay New Jersey by the U.S. Geological Survey in 2012, and 2013 (Esri point shapefile, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S....

  19. Locations of photographs acquired using a SEABed Observation and Sampling System (SEABOSS) within Barnegat Bay New Jersey by the U.S. Geological Survey in 2012, and 2013 (Esri point shapefile, Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S....

  20. Geographical Effects on Complex Networks

    Institute of Scientific and Technical Information of China (English)

    LIN Zhong-Cai; YANG Lei; YANG Kong-Qing

    2005-01-01

    @@ We investigate how the geographical structure of a complex network affects its network topology, synchronization and the average spatial length of edges. The geographical structure means that the connecting probability of two nodes is related to the spatial distance of the two nodes. Our simulation results show that the geographical structure changes the network topology. The synchronization tendency is enhanced and the average spatial length of edges is enlarged when the node can randomly connect to the further one. Analytic results support our understanding of the phenomena.

  1. 33 CFR 165.8 - Geographic coordinates.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 2 2010-07-01 2010-07-01 false Geographic coordinates. 165.8... Geographic coordinates. Geographic coordinates expressed in terms of latitude or longitude, or both, are not... 1983 (NAD 83), unless such geographic coordinates are expressly labeled NAD 83. Geographic...

  2. Practical applications of the geographic coordinate data base in Arkansas

    Science.gov (United States)

    Mickie Warwick; Don C. Bragg

    2005-01-01

    Though not intended for these applications, the General Land Office (GLO) survey notes are a primary source of historical, ecological, and cultural information, making it imperative that their spatial coordinates be as reliable as possible. The Geographic Coordinate Data Base (GCDB) is a statistically-based coordinate fitting program that uses the GLO notes and other...

  3. Applying Molecular Markers in Coriander Populations with Diverse Geographical Origins

    Science.gov (United States)

    Relationships between patterns of genetic diversity and geographical origins were studied in coriander by using amplified fragment length polymorphisms (AFLP) to survey coriander accessions. In 2005, 60 coriander accessions from 28 countries, from the USDA-ARS North Central Regional Plant Introduct...

  4. Predicted geographic ranges for North American sylvatic Trichinella

    Science.gov (United States)

    Because of a lack of comprehensive surveys, the geographic distributions of the North American species of Trichinella (T. nativa and its variant T6, T. murrelli, and T. spiralis) are poorly characterized. These species are potentially zoonotic, and biogeographical information is critical to monitori...

  5. Survey lines along which swath bathymetry data were collected south of Martha's Vineyard and north of Nantucket by the U.S. Geological Survey offshore of Massachusetts in 2013 (2013-003-FA_BathyTracklines, Esri Polyline Shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  6. Polyline shapefile of a portion of the 1-meter (m) contours in quadrangle 6 of the Stellwagen Bank Survey Area offshore of Boston, Massachusetts necessary to show small features not displayed by 5-m contours - based on bathymetry data collected by the U.S. Geological Survey from 1994-1996 (Geographic, NAD 83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration's National Marine Sanctuary Program, has conducted seabed...

  7. Survey lines along which swath bathymetry data were collected in Buzzards Bay by the U.S. Geological Survey and the National Oceanic and Atmospheric Administration offshore of Massachusetts in 2004, 2009, 2010, and 2011 (BB_BathyTracklines Esri Polyline Shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  8. Survey lines along which EdgeTech SB-512i chirp seismic-reflection data were collected in Buzzards Bay by the U.S. Geological Survey offshore of Massachusetts in 2009, 2010, and 2011 (BB_SeismicTrackline Esri Polyline Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  9. Survey lines along which swath backscatter data were collected south of Martha's Vineyard and north of Nantucket by the U.S. Geological Survey offshore of Massachusetts in 2013 (2013-003-FA_BackscatterTracklines, Esri Polyline Shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  10. Survey lines along which interferometric and multibeam bathymetric sonar data were collected by the U.S. Geological Survey and the National Oceanic and Atmospheric Administration offshore of Massachusetts between Duxbury and Hull (DH_BathyTrackline shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  11. Survey lines along which EdgeTech SB-512i and SB-424 chirp seismic-reflection data were collected by the U.S. Geological Survey offshore of Massachusetts between Duxbury and Hull (DH_SeismicTrackline shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  12. Survey lines along which seismic reflection data were collected south of Martha's Vineyard and north of Nantucket by the U.S. Geological Survey offshore of Massachusetts in 2013 (2013-003-FA_512i_shottrack, Esri Polyline Shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  13. Survey lines along which EdgeTech SB-512i and SB-424 chirp seismic-reflection data were collected by the U.S. Geological Survey offshore of Massachusetts between Duxbury and Hull (DH_SeismicTrackline shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  14. Survey lines along which acoustic backscatter data were acquired using a Klein 3000 sidescan sonar offshore of Massachusetts within Vineyard Sound by the U.S. Geological Survey in 2009, 2010, and 2011 (VS_BACKSCATTERTRACKLINES, ESRI Shapefile, Geographic WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  15. Survey lines along which EdgeTech SB-512i chirp seismic-reflection data were collected in Buzzards Bay by the U.S. Geological Survey offshore of Massachusetts in 2009, 2010, and 2011 (BB_SeismicTrackline Esri Polyline Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  16. Survey tracklines along which bathymetric data were collected with a SEA Ltd., SWATHplus-M interferometric sonar offshore of Massachusetts within Vineyard Sound by the U.S. Geological Survey in 2009, 2010, and 2011 (VS_BATHTYMETRYTRACKLINES, ESRI Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  17. Survey lines along which interferometric and multibeam bathymetric sonar data were collected by the U.S. Geological Survey and the National Oceanic and Atmospheric Administration offshore of Massachusetts between Duxbury and Hull (DH_BathyTrackline shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  18. Shot point navigation at even 500 shot intervals for EdgeTech SB-512i chirp seismic-reflection data collected by the U.S. Geological Survey offshore of Massachusetts within Vineyard Sound by the U.S. Geological Survey in 2009, 2010, and 2011 (VS_SeismicShot_500, ESRI Point Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  19. Survey lines along which EdgeTech SB-512i, EdgeTech SB-424, and Knudsen 3200 chirp seismic-reflection data were collected by the U.S. Geological Survey offshore of Massachusetts within northern Cape Cod Bay (CCB_SeismicTrackline Esri Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  20. Survey lines along which swath bathymetry data were collected in Buzzards Bay by the U.S. Geological Survey and the National Oceanic and Atmospheric Administration offshore of Massachusetts in 2004, 2009, 2010, and 2011 (BB_BathyTracklines Esri Polyline Shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  1. Survey lines along which EdgeTech SB-512i, EdgeTech SB-424, and Knudsen 3200 chirp seismic-reflection data were collected by the U.S. Geological Survey offshore of Massachusetts within northern Cape Cod Bay (CCB_SeismicTrackline Esri Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  2. Survey lines along which interferometric and multibeam bathymetric sonar data were collected by the U.S. Geological Survey and the National Oceanic and Atmospheric Administration offshore of Massachusetts between Duxbury and Hull (DH_BathyTrackline shapefile, Geographic, WGS84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  3. Survey tracklines along which bathymetric data were collected with a SEA Ltd., SWATHplus-M interferometric sonar offshore of Massachusetts within Vineyard Sound by the U.S. Geological Survey in 2009, 2010, and 2011 (VS_BATHTYMETRYTRACKLINES, ESRI Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  4. Shot point navigation at even 500 shot intervals for EdgeTech SB-512i chirp seismic-reflection data collected by the U.S. Geological Survey offshore of Massachusetts within Vineyard Sound by the U.S. Geological Survey in 2009, 2010, and 2011 (VS_SeismicShot_500, ESRI Point Shapefile, Geographic, WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  5. Survey lines along which acoustic backscatter data were acquired using a Klein 3000 sidescan sonar offshore of Massachusetts within Vineyard Sound by the U.S. Geological Survey in 2009, 2010, and 2011 (VS_BACKSCATTERTRACKLINES, ESRI Shapefile, Geographic WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal...

  6. Survey lines along which acoustic backscatter data were acquired using a Klein 3000 sidescan sonar offshore of Massachusetts within Vineyard Sound by the U.S. Geological Survey in 2009, 2010, and 2011 (VS_BACKSCATTERTRACKLINES, ESRI Shapefile, Geographic WGS84).

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS),...

  7. NEPR Geographic Zone Map 2015

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This geographic zone map was created by interpreting satellite and aerial imagery, seafloor topography (bathymetry model), and the new NEPR Benthic Habitat Map...

  8. Ecoscapes: Geographical Patternings of Relations

    Directory of Open Access Journals (Sweden)

    Aimar Ventsel

    2012-06-01

    Full Text Available Book review of the publication Ecoscapes: Geographical Patternings of Relations. Edited by Gary Backhaus and John Murungi. Lanham, Boulder, New York, Toronto, Oxford, Lexington Books, 2006, xxxiii+241 pp.

  9. Geographic Tongue in Monozygotic Twins

    OpenAIRE

    Shekhar M, Guna

    2014-01-01

    This article discusses a case of 5-year-old girl monozygotic twins who were suffering from geographic tongue (GT), a benign inflammatory disorder of the tongue which is characterized by circinate, irregular erythematous lesions on the dorsum and lateral borders of the tongue caused by loss of filiform papillae of the tongue epithelium. Whilst geographic tongue is a common entity, reports on this condition are uncommon in the literature. To best of our knowledge, this is the first report which...

  10. Soil-Web: An online soil survey for California, Arizona, and Nevada

    Science.gov (United States)

    Beaudette, D. E.; O'Geen, A. T.

    2009-10-01

    Digital soil survey products represent one of the largest and most comprehensive inventories of soils information currently available. The complex structure of these databases, intensive use of codes and scientific jargon make it difficult for non-specialists to utilize digital soil survey resources. A project was initiated to construct a web-based interface to digital soil survey products (STATSGO and SSURGO) for California, Arizona, and Nevada that would be accessible to the general public. A collection of mature, open source applications (including Mapserver, PostGIS and Apache Web Server) were used as a framework to support data storage, querying, map composition, data presentation, and contextual links to related materials. Application logic was written in the PHP language to "glue" together the many components of an online soil survey. A comprehensive website ( http://casoilresource.lawr.ucdavis.edu/map) was created to facilitate access to digital soil survey databases through several interfaces including: interactive map, Google Earth and HTTP-based application programming interface (API). Each soil polygon is linked to a map unit summary page, which includes links to soil component summary pages. The most commonly used soil properties, land interpretations and ratings are presented. Graphical and tabular summaries of soil profile information are dynamically created, and aid with rapid assessment of key soil properties. Quick links to official series descriptions (OSD) and other such information are presented. All terminology is linked back to the USDA-NRCS Soil Survey Handbook which contains extended definitions. The Google Earth interface to Soil-Web can be used to explore soils information in three dimensions. A flexible web API was implemented to allow advanced users of soils information to access our website via simple web page requests. Soil-Web has been successfully used in soil science curriculum, outreach activities, and current research projects

  11. Where in the World Are Our Children? The Child as Emerging Geographer

    Science.gov (United States)

    Ranck, Edna Runnels

    2012-01-01

    During the last century, primary school students studied geography every day. Today, educators are often unfamiliar with geography as an academic subject, limiting it to maps and demographics, topics of little interest to young children. Yet, in a National Geographic Education Foundation survey, "Young Americans Geographically Challenged"…

  12. Breton Island Transects with Shoreline Change Rates (Pre-1950s) (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Breton Island, Louisiana Transects with Shoreline Change Rates (Pre-1950s) (Geographic, NAD83) consists of vector transect data that were derived from the Digital...

  13. Breton Island, Louisiana Transects with Shoreline Change Rates (1869 - 2014) (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Breton Island, Louisiana Transects with Shoreline Change Rates (1869 - 2014) (Geographic, NAD83) consists of vector transect data that were derived from the Digital...

  14. Breton Island Transects with Shoreline Change Rates (Pre/Post Hurricane Katrina) (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Breton Island, Louisiana Transects with Shoreline Change Rates (Pre/Post Hurricane Katrina) (Geographic, NAD83) consists of vector transect data that were derived...

  15. Breton Island, Louisiana Transects with Shoreline Change Rates (Post Hurricane Katrina) (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Breton Island, Louisiana Transects with Shoreline Change Rates (Post Hurricane Katrina) (Geographic, NAD83) consists of vector transect data that was derived from...

  16. Breton Island, Louisiana Transects with Shoreline Change Rates (Post-1950s) (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Breton Island, Louisiana Transects with Shoreline Change Rates (Post-1950s) (Geographic, NAD83) consists of vector transect data that were derived from the Digital...

  17. Polygons of global undersea features for geographic searches (undersea_features.shp)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — A shapefile of 311 undersea features from all major oceans and seas has been created as an aid for retrieving georeferenced information resources. The geographic...

  18. Breton Island, Louisiana Transects with Shoreline Change Rates (1869 - 2014) (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Breton Island, Louisiana Transects with Shoreline Change Rates (1869 - 2014) (Geographic, NAD83) consists of vector transect data that were derived from the Digital...

  19. Breton Island Transects with Shoreline Change Rates (Pre/Post Hurricane Katrina) (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Breton Island, Louisiana Transects with Shoreline Change Rates (Pre/Post Hurricane Katrina) (Geographic, NAD83) consists of vector transect data that were derived...

  20. Breton Island Transects with Shoreline Change Rates (Pre-1950s) (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Breton Island, Louisiana Transects with Shoreline Change Rates (Pre-1950s) (Geographic, NAD83) consists of vector transect data that were derived from the Digital...

  1. Breton Island, Louisiana Transects with Shoreline Change Rates (Post-1950s) (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Breton Island, Louisiana Transects with Shoreline Change Rates (Post-1950s) (Geographic, NAD83) consists of vector transect data that were derived from the Digital...

  2. Breton Island, Louisiana Transects with Shoreline Change Rates (Post Hurricane Katrina) (Geographic, NAD83)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Breton Island, Louisiana Transects with Shoreline Change Rates (Post Hurricane Katrina) (Geographic, NAD83) consists of vector transect data that was derived from...

  3. National Geodetic Control Stations, Geographic NAD83, NGS (2004) [geodetic_ctrl_point_la_NGS_2004

    Data.gov (United States)

    Louisiana Geographic Information Center — This data contains a set of geodetic control stations maintained by the National Geodetic Survey. Each geodetic control station in this dataset has either a precise...

  4. Polygons of global undersea features for geographic searches (undersea_features.shp)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — A shapefile of 311 undersea features from all major oceans and seas has been created as an aid for retrieving georeferenced information resources. The geographic...

  5. Geographic Place Names, Susanville Oregon Ghost Town, Published in 2015, Not Applicable scale, Cherocreek Nation.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Geographic Place Names dataset, published at Not Applicable scale, was produced all or in part from Field Survey/GPS information as of 2015. It is described as...

  6. 南京市地理国情普查工作中行业专题资料的收集和利用%Collection and Utilization of Special Industry Project information in Nanjing City General Survey of Geographic Conditions

    Institute of Scientific and Technical Information of China (English)

    张凤梅; 常永青

    2015-01-01

    行业专题资料在地理国情普查工作中发挥着重要作用,如何有效收集各行各业不同载体、不同格式、不同尺度、不同时点的行业专题资料并加以利用,对地理国情普查成果数据的后期利用,特别是统计分析工作起着至关重要的作用。本文详述了南京市地理国情普查工作中行业专题资料的收集过程和资料的分析利用,可为其他城市地理国情普查工作提供一定的借鉴作用。%Industry thematic information plays an important role in the geographic conditions of census work ,how to effec-tively collect all walks of life ,different carriers ,different format ,different scales ,different time points of the industry thematic information and be used on later geography situation survey results data use ,especially the statistical analysis plays a vital role in.Analysis of the use of this paper describes the process of collecting and information industry of Nanjing city census geogra-phy situation of special data ,which can provide certain reference for other urban geographic conditions of census work .

  7. A Method for Analyzing Volunteered Geographic Information ...

    Science.gov (United States)

    Volunteered geographic information (VGI) can be used to identify public valuation of ecosystem services in a defined geographic area using photos as a representation of lived experiences. This method can help researchers better survey and report on the values and preferences of stakeholders involved in rehabilitation and revitalization projects. Current research utilizes VGI in the form of geotagged social media photos from three platforms: Flickr, Instagram, and Panaramio. Social media photos have been obtained for the neighborhoods next to the St. Louis River in Duluth, Minnesota, and are being analyzed along several dimensions. These dimensions include the spatial distribution of each platform, the characteristics of the physical environment portrayed in the photos, and finally, the ecosystem service depicted. In this poster, we focus on the photos from the Irving and Fairmount neighborhoods of Duluth, MN to demonstrate the method at the neighborhood scale. This study demonstrates a method for translating the values expressed in social media photos into ecosystem services and spatially-explicit data to be used in multiple settings, including the City of Duluth’s Comprehensive Planning and community revitalization efforts, habitat restoration in a Great Lakes Area of Concern, and the USEPA’s Office of Research and Development. This poster will demonstrate a method for translating values expressed in social media photos into ecosystem services and spatially

  8. Using volunteered geographic information to visualize ...

    Science.gov (United States)

    Volunteered geographic information (VGI), specifically geotagged photographs available from social media platforms, is a promising technology that can be utilized to identify public values for ecosystem goods and services in a defined geographic area. VGI can help researchers indirectly survey and report on the values and preferences of communities involved in restoration and revitalization projects. We are using geotagged images from three social media platforms: Flickr, Instagram, and Panaramio. Images are obtained for the neighborhoods to the St. Louis River in the Duluth, MN and analyzed along several dimensions including the spatial distribution of images from each platform and the types and frequencies of social values and ecosystem service depicted. This study will demonstrate a method for translating the values of ecosystem goods and services as captured in social media into spatially-explicit data. Study outcomes are the incorporation of social media-derived indicators of ecosystems services into City of Duluth’s Comprehensive Planning and community revitalization efforts, habitat restoration in a Great Lakes Area of Concern, and the USEPA’s Office of Research and Development Sustainable and Healthy Community research. Not applicable

  9. A Method for Analyzing Volunteered Geographic Information ...

    Science.gov (United States)

    Volunteered geographic information (VGI) can be used to identify public valuation of ecosystem services in a defined geographic area using photos as a representation of lived experiences. This method can help researchers better survey and report on the values and preferences of stakeholders involved in rehabilitation and revitalization projects. Current research utilizes VGI in the form of geotagged social media photos from three platforms: Flickr, Instagram, and Panaramio. Social media photos have been obtained for the neighborhoods next to the St. Louis River in Duluth, Minnesota, and are being analyzed along several dimensions. These dimensions include the spatial distribution of each platform, the characteristics of the physical environment portrayed in the photos, and finally, the ecosystem service depicted. In this poster, we focus on the photos from the Irving and Fairmount neighborhoods of Duluth, MN to demonstrate the method at the neighborhood scale. This study demonstrates a method for translating the values expressed in social media photos into ecosystem services and spatially-explicit data to be used in multiple settings, including the City of Duluth’s Comprehensive Planning and community revitalization efforts, habitat restoration in a Great Lakes Area of Concern, and the USEPA’s Office of Research and Development. This poster will demonstrate a method for translating values expressed in social media photos into ecosystem services and spatially

  10. Changes at the National Geographic Society

    Science.gov (United States)

    Schwille, Kathleen

    2016-01-01

    For more than 125 years, National Geographic has explored the planet, unlocking its secrets and sharing them with the world. For almost thirty of those years, National Geographic has been committed to K-12 educators and geographic education through its Network of Alliances. As National Geographic begins a new chapter, they remain committed to the…

  11. Changes at the National Geographic Society

    Science.gov (United States)

    Schwille, Kathleen

    2016-01-01

    For more than 125 years, National Geographic has explored the planet, unlocking its secrets and sharing them with the world. For almost thirty of those years, National Geographic has been committed to K-12 educators and geographic education through its Network of Alliances. As National Geographic begins a new chapter, they remain committed to the…

  12. The Geographic Extent of Global Supply Chains

    DEFF Research Database (Denmark)

    Machikita, Tomohiro; Ueki, Yasushi

    2012-01-01

    We study the extent to which inter-firm relationships are locally concentrated and what determines firm differences in geographic proximity to domestic or foreign suppliers and customers. From micro-data on selfreported customer and supplier data of firms in Indonesia, the Philippines, Thailand......, and Vietnam, we measure the distances between firm pairs, that is, the distance to the main supplier and the distance to the main customer for the surveyed firms. The distances to suppliers and customers are shorter for indigenous firms in these Southeast Asian countries; but the arm’s length differs across...... countries. The distance between firm pairs differs widely across firms within narrowly defined industries and countries. We find that both firm-level transaction costs and capabilities affect the distances between customers and suppliers. The distance to suppliers is longer for firms that have accepted...

  13. The geographical distribution of Q fever.

    Science.gov (United States)

    KAPLAN, M M; BERTAGNA, P

    1955-01-01

    The results of a WHO-assisted survey of the distribution of Q fever in 32 countries and an analysis of reports published to date indicate that Q fever exists in 51 countries on five continents. Q-fever infection was most often reported in man and the domestic ruminants, such as cattle, sheep, and goats.The disease was found to exist in most countries where investigations were carried out. Notable exceptions were Ireland, the Netherlands, New Zealand, Poland, and the Scandinavian countries. With the exception of Poland, where the results were inconclusive, all these countries import relatively few domestic ruminants-the most important animal reservoirs of human Q-fever infection. It seems, therefore, that the traffic of infected ruminants may be one of the most important, if not the most important, means for the geographical spread of Q fever. The importance, if any, of ticks associated with such traffic needs to be defined.

  14. The Andes: A Geographical Portrait

    Directory of Open Access Journals (Sweden)

    Anthony Bebbington

    2016-05-01

    Full Text Available Reviewed: The Andes: A Geographical Portrait. By Axel Borsdorf and Christoph Stadel. Translated by Brigitte Scott and Christoph Stadel. Cham, Switzerland: Springer International Publishing, 2015. xiv + 368 pp. US$ 139.00. Also available as an e-book. ISBN 978-3-319-03529-1.

  15. Geographic Projection of Cluster Composites

    NARCIS (Netherlands)

    Nerbonne, J.; Bosveld-de Smet, L.M.; Kleiweg, P.; Blackwell, A.; Marriott, K.; Shimojima, A.

    2004-01-01

    A composite cluster map displays a fuzzy categorisation of geographic areas. It combines information from several sources to provide a visualisation of the significance of cluster borders. The basic technique renders the chance that two neighbouring locations are members of different clusters as the

  16. Geographical Concepts in Turkish Lullabys

    Science.gov (United States)

    Çifçi, Taner

    2016-01-01

    In this study, a collection of lullabies which have an important place in Turkish culture and which form an important genre in folk literature are examined to find out distribution and presentation of geographical terms in the lullabies in this collection. In the study, 2480 lullabies in Turkish Lullabies which is one of the leading collections in…

  17. Territorial Decentration and Geographic Learning.

    Science.gov (United States)

    Stoltman, Joseph P.

    Territorial decentration is a question of major significance to geographic educators. This paper reports the findings of a research project designed to determine the territorial decentration of an American sample of children. The primary purpose of the research was to determine if Piaget's territorial decentration stages are appropriate for…

  18. Geographic and molecular variation in a natural plant transgene.

    Science.gov (United States)

    Vallenback, Pernilla; Bengtsson, Bengt O; Ghatnekar, Lena

    2010-03-01

    A PCR based survey of Festuca ovina plants from populations around the southern part of the Baltic Sea demonstrates both geographic and molecular variation in the enzyme gene PgiC2, horizontally transferred from a Poa-species. Our results show that PgiC2-a natural functional nuclear transgene-is not a local ephemeral phenomenon but is present in a very large number of individuals. We find also that its frequency is geographically variable and that it appears in more than one molecular form. The chloroplast variation in the region does not indicate any distinct subdivision due to different colonization routes after the last glaciation. Our data illustrate the geographic and molecular variation that may occur in natural populations with a polymorphic, unfixed transgene affected by diverse kinds of mutational and evolutionary processes.

  19. RESEARCH ON THE CONSTRUCTION METHOD OF COMPREHENSIVE EVALUATION INDEX OF GEOGRAPHIC CONDITIONS

    Directory of Open Access Journals (Sweden)

    S. H. Lv

    2016-06-01

    Full Text Available This article proposes a construction method for a comprehensive geographic conditions evaluation index based on geographic conditions survey data combined with thematic data on society, economy, ecology and population. This article constructs a three-level evaluation framework composed of index level, object level and factor level from the perspectives of ecological coordination, urban development, regional economic potential and basic public services, studies a method of acquiring all-level factor data on geographic conditions and discusses the comprehensive evaluation factor system of geographic conditions. The components of the all-level index are selected through principal component analysis, and iterative analysis is performed by innovatively setting conditions to ensure the independence of the factors and establish an evaluation factor set for geographic conditions. The weighting for the all-level index is obtained through the analytic hierarchy process resulting in the index of geographic conditions. From the perspective of geographic conditions, this article makes a dynamic and quantitative evaluation of national conditions and strengths to provide a reference basis for regional sustainable development and governmental management decisions. By using the method, this article first obtains the index of geographic conditions of Q city with comprehensive evaluation and analysis to verify the objectivity and scientific nature of the method and expand and deepen the application of survey data on geographic conditions.

  20. Research on the Construction Method of Comprehensive Evaluation Index of Geographic Conditions

    Science.gov (United States)

    Lv, S. H.; Zhang, J. X.; Zhang, Z. H.; Jiao, J. C.

    2016-06-01

    This article proposes a construction method for a comprehensive geographic conditions evaluation index based on geographic conditions survey data combined with thematic data on society, economy, ecology and population. This article constructs a three-level evaluation framework composed of index level, object level and factor level from the perspectives of ecological coordination, urban development, regional economic potential and basic public services, studies a method of acquiring all-level factor data on geographic conditions and discusses the comprehensive evaluation factor system of geographic conditions. The components of the all-level index are selected through principal component analysis, and iterative analysis is performed by innovatively setting conditions to ensure the independence of the factors and establish an evaluation factor set for geographic conditions. The weighting for the all-level index is obtained through the analytic hierarchy process resulting in the index of geographic conditions. From the perspective of geographic conditions, this article makes a dynamic and quantitative evaluation of national conditions and strengths to provide a reference basis for regional sustainable development and governmental management decisions. By using the method, this article first obtains the index of geographic conditions of Q city with comprehensive evaluation and analysis to verify the objectivity and scientific nature of the method and expand and deepen the application of survey data on geographic conditions.