Gender and developmental differences in exercise beliefs among youth and prediction of their exercise behavior.

Science.gov (United States)

Garcia, A W; Broda, M A; Frenn, M; Coviak, C; Pender, N J; Ronis, D L

1995-08-01

This study examined gender and developmental differences in exercise-related beliefs and exercise behaviors of 286 racially diverse youth and explored factors predictive of exercise. Compared to males, females reported less prior and current exercise, lower self-esteem, poorer health status, and lower exercise self-schema. Adolescents, in contrast to pre-adolescents, reported less social support for exercise and fewer exercise role models. In a path model, gender, the benefits/barriers differential, and access to exercise facilities and programs directly predicted exercise. Effects of grade, perceived health status, exercise self-efficacy, social support for exercise, and social norms for exercise on exercise behavior, were mediated through the benefits/barriers differential. Effect of race on exercise was mediated by access to exercise facilities and programs. Continued exploration of gender and developmental differences in variables influencing physical activity can yield valuable information for tailoring exercise promotion interventions to the unique needs of youth.

Flood prediction, its risk and mitigation for the Babura River with GIS

Science.gov (United States)

Tarigan, A. P. M.; Hanie, M. Z.; Khair, H.; Iskandar, R.

2018-03-01

This paper describes the flood prediction along the Babura River, the catchment of which is within the comparatively larger watershed of the Deli River which crosses the centre part of Medan City. The flood plain and ensuing inundation area were simulated using HECRAS based on the available data of rainfall, catchment, and river cross-sections. The results were shown in a GIS format in which the city map of Medan and other infrastructure layers were stacked for spatial analysis. From the resulting GIS, it can be seen that 13 sub-districts were likely affected by the flood, and then the risk calculation of the flood damage could be estimated. In the spirit of flood mitigation thoughts, 6 locations of evacuation centres were identified and 15 evacuation routes were recommended to reach the centres. It is hoped that the flood prediction and its risk estimation in this study will inspire the preparedness of the stakeholders for the probable threat of flood disaster.

Exercise identity and attribution properties predict negative self-conscious emotions for exercise relapse.

Science.gov (United States)

Flora, Parminder K; Strachan, Shaelyn M; Brawley, Lawrence R; Spink, Kevin S

2012-10-01

Research on exercise identity (EXID) indicates that it is related to negative affect when exercisers are inconsistent or relapse. Although identity theory suggests that causal attributions about this inconsistency elicit negative self-conscious emotions of shame and guilt, no EXID studies have examined this for exercise relapse. Weiner's attribution-based theory of interpersonal motivation (2010) offers a means of testing the attribution-emotion link. Using both frameworks, we examined whether EXID and attributional properties predicted negative emotions for exercise relapse. Participants (n = 224) read an exercise relapse vignette, and then completed EXID, attributions, and emotion measures. Hierarchical multiple regression models using EXID and the attributional property of controllability significantly predicted each of shame and guilt, R² adjusted = .09, ps ≤ .001. Results support identity theory suggestions and Weiner's specific attribution-emotion hypothesis. This first demonstration of an interlinking of EXID, controllability, and negative self-conscious emotions offers more predictive utility using complementary theories than either theory alone.

GIS and radiological crisis management

International Nuclear Information System (INIS)

Kacenelen, Y.

2009-01-01

The author reports a new operational exercise performed on September 17, 2009 on the CEA Saclay site. For this purpose, the CEA (the French Atomic Energy Commission) developed M2IRAGE, a tool based on ArcGIS 9.3 technologies. This tool allows an easier data collection and exploitation in order to quickly map the distribution of radioactive particles and thus help the management of the health response and emergency organization within two hours after the warning. This tool notably uses a geographic information system (GIS)

Habitual exercise instigation (vs. execution) predicts healthy adults' exercise frequency.

Science.gov (United States)

Phillips, L Alison; Gardner, Benjamin

2016-01-01

Habit is thought to be conducive to health behavior maintenance, because habits prompt behavior with minimal cognitive resources. The precise role of habit in determining complex behavioral sequences, such as exercise, has been underresearched. It is possible that the habit process may initiate a behavioral sequence (instigation habit) or that, after instigation, movement through the sequence is automated (execution habit). We hypothesized that exercise instigation habit can be empirically distinguished from exercise execution habit and that instigation habit strength is most predictive of future exercise and reflective of longitudinal exercise behavior change. Further, we evaluated whether patterned exercise action-that is, engaging in the same exercise actions from session to session-can be distinct from exercise execution habit. Healthy adults (N = 123) rated their exercise instigation and execution habit strengths, patterned exercise actions, and exercise frequency in baseline and 1-month follow-up surveys. Participants reported exercise engagement via electronic daily diaries for 1 month. Hypotheses were tested with regression analyses and repeated-measures analyses of variance. Exercise instigation habit strength was the only unique predictor of exercise frequency. Frequency profiles (change from high to low or low to high, no change high, no change low) were associated with changes in instigation habit but not with execution habit or patterned exercise action. Results suggest that the separable components of exercise sessions may be more or less automatic, and they point to the importance of developing instigation habit for establishing frequent exercise. (c) 2015 APA, all rights reserved).

Using built environment characteristics to predict walking for exercise

Directory of Open Access Journals (Sweden)

Siscovick David S

2008-02-01

Full Text Available Abstract Background Environments conducive to walking may help people avoid sedentary lifestyles and associated diseases. Recent studies developed walkability models combining several built environment characteristics to optimally predict walking. Developing and testing such models with the same data could lead to overestimating one's ability to predict walking in an independent sample of the population. More accurate estimates of model fit can be obtained by splitting a single study population into training and validation sets (holdout approach or through developing and evaluating models in different populations. We used these two approaches to test whether built environment characteristics near the home predict walking for exercise. Study participants lived in western Washington State and were adult members of a health maintenance organization. The physical activity data used in this study were collected by telephone interview and were selected for their relevance to cardiovascular disease. In order to limit confounding by prior health conditions, the sample was restricted to participants in good self-reported health and without a documented history of cardiovascular disease. Results For 1,608 participants meeting the inclusion criteria, the mean age was 64 years, 90 percent were white, 37 percent had a college degree, and 62 percent of participants reported that they walked for exercise. Single built environment characteristics, such as residential density or connectivity, did not significantly predict walking for exercise. Regression models using multiple built environment characteristics to predict walking were not successful at predicting walking for exercise in an independent population sample. In the validation set, none of the logistic models had a C-statistic confidence interval excluding the null value of 0.5, and none of the linear models explained more than one percent of the variance in time spent walking for exercise. We did not

A Novel Exercise Thermophysiology Comfort Prediction Model with Fuzzy Logic

Directory of Open Access Journals (Sweden)

Nan Jia

2016-01-01

Full Text Available Participation in a regular exercise program can improve health status and contribute to an increase in life expectancy. However, exercise accidents like dehydration, exertional heatstroke, syncope, and even sudden death exist. If these accidents can be analyzed or predicted before they happen, it will be beneficial to alleviate or avoid uncomfortable or unacceptable human disease. Therefore, an exercise thermophysiology comfort prediction model is needed. In this paper, coupling the thermal interactions among human body, clothing, and environment (HCE as well as the human body physiological properties, a human thermophysiology regulatory model is designed to enhance the human thermophysiology simulation in the HCE system. Some important thermal and physiological performances can be simulated. According to the simulation results, a human exercise thermophysiology comfort prediction method based on fuzzy inference system is proposed. The experiment results show that there is the same prediction trend between the experiment result and simulation result about thermophysiology comfort. At last, a mobile application platform for human exercise comfort prediction is designed and implemented.

Predictive Accuracy of Exercise Stress Testing the Healthy Adult.

Science.gov (United States)

Lamont, Linda S.

1981-01-01

Exercise stress testing provides information on the aerobic capacity, heart rate, and blood pressure responses to graded exercises of a healthy adult. The reliability of exercise tests as a diagnostic procedure is discussed in relation to sensitivity and specificity and predictive accuracy. (JN)

Geographical information system (GIS) application for flood prediction at Sungai Sembrong

Science.gov (United States)

Kamin, Masiri; Ahmad, Nor Farah Atiqah; Razali, Siti Nooraiin Mohd; Hilaham, Mashuda Mohamad; Rahman, Mohamad Abdul; Ngadiman, Norhayati; Sahat, Suhaila

2017-10-01

The occurrence of flood is one of natural disaster that often beset Malaysia. The latest incident that happened in 2007 was the worst occurrence of floods ever be set in Johor. Reporting floods mainly focused on rising water rising levels, so about once a focus on the area of flood delineation. A study focused on the effectiveness of using Geographic Information System (GIS) to predict the flood by taking Sg. Sembrong, Batu Pahat, Johor as study area. This study combined hydrological model and water balance model in the display to show the expected flood area for future reference. The minimum, maximum and average rainfall data for January 2007 at Sg Sembrong were used in this study. The data shows that flood does not occurs at the minimum and average rainfall of 17.2mm and 2mm respectively. At maximum rainfall, 203mm, shows the flood area was 9983 hectares with the highest level of the water depth was 2m. The result showed that the combination of hydrological models and water balance model in GIS is very suitable to be used as a tool to obtain preliminary information on flood immediately. Besides that, GIS system is a very powerful tool used in hydrology engineering to help the engineer and planner to imagine the real situation of flood events, doing flood analysis, problem solving and provide a rational, accurate and efficient decision making.

In vitro dissolution methodology, mini-Gastrointestinal Simulator (mGIS), predicts better in vivo dissolution of a weak base drug, dasatinib.

Science.gov (United States)

Tsume, Yasuhiro; Takeuchi, Susumu; Matsui, Kazuki; Amidon, Gregory E; Amidon, Gordon L

2015-08-30

USP apparatus I and II are gold standard methodologies for determining the in vitro dissolution profiles of test drugs. However, it is difficult to use in vitro dissolution results to predict in vivo dissolution, particularly the pH-dependent solubility of weak acid and base drugs, because the USP apparatus contains one vessel with a fixed pH for the test drug, limiting insight into in vivo drug dissolution of weak acid and weak base drugs. This discrepancy underscores the need to develop new in vitro dissolution methodology that better predicts in vivo response to assure the therapeutic efficacy and safety of oral drug products. Thus, the development of the in vivo predictive dissolution (IPD) methodology is necessitated. The major goals of in vitro dissolution are to ensure the performance of oral drug products and the support of drug formulation design, including bioequivalence (BE). Orally administered anticancer drugs, such as dasatinib and erlotinib (tyrosine kinase inhibitors), are used to treat various types of cancer. These drugs are weak bases that exhibit pH-dependent and high solubility in the acidic stomach and low solubility in the small intestine (>pH 6.0). Therefore, these drugs supersaturate and/or precipitate when they move from the stomach to the small intestine. Also of importance, gastric acidity for cancer patients may be altered with aging (reduction of gastric fluid secretion) and/or co-administration of acid-reducing agents. These may result in changes to the dissolution profiles of weak base and the reduction of drug absorption and efficacy. In vitro dissolution methodologies that assess the impact of these physiological changes in the GI condition are expected to better predict in vivo dissolution of oral medications for patients and, hence, better assess efficacy, toxicity and safety concerns. The objective of this present study is to determine the initial conditions for a mini-Gastrointestinal Simulator (mGIS) to assess in vivo

gis-based hydrological model based hydrological model upstream

African Journals Online (AJOL)

eobe

(GIS) environment to simulate various parame attributed to a ... water, sediment and agricultural chem large complex .... The 90m resolution topography data (see Figure 2) used for this .... results of the calibration and validation exercise are as.

Dose-Response Calculator for ArcGIS

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Hanser, Steven E.; Aldridge, Cameron L.; Leu, Matthias; Nielsen, Scott E.

2011-01-01

The Dose-Response Calculator for ArcGIS is a tool that extends the Environmental Systems Research Institute (ESRI) ArcGIS 10 Desktop application to aid with the visualization of relationships between two raster GIS datasets. A dose-response curve is a line graph commonly used in medical research to examine the effects of different dosage rates of a drug or chemical (for example, carcinogen) on an outcome of interest (for example, cell mutations) (Russell and others, 1982). Dose-response curves have recently been used in ecological studies to examine the influence of an explanatory dose variable (for example, percentage of habitat cover, distance to disturbance) on a predicted response (for example, survival, probability of occurrence, abundance) (Aldridge and others, 2008). These dose curves have been created by calculating the predicted response value from a statistical model at different levels of the explanatory dose variable while holding values of other explanatory variables constant. Curves (plots) developed using the Dose-Response Calculator overcome the need to hold variables constant by using values extracted from the predicted response surface of a spatially explicit statistical model fit in a GIS, which include the variation of all explanatory variables, to visualize the univariate response to the dose variable. Application of the Dose-Response Calculator can be extended beyond the assessment of statistical model predictions and may be used to visualize the relationship between any two raster GIS datasets (see example in tool instructions). This tool generates tabular data for use in further exploration of dose-response relationships and a graph of the dose-response curve.

Larger Lateral Prefrontal Cortex Volume Predicts Better Exercise Adherence Among Older Women: Evidence From Two Exercise Training Studies.

Science.gov (United States)

Best, John R; Chiu, Bryan K; Hall, Peter A; Liu-Ambrose, Teresa

2017-06-01

Recent research has suggested an important role of lateral prefrontal cortex (lPFC) in consistent implementation of positive health behaviors and avoidance of negative health behaviors. We examined whether gray matter volume in the lPFC prospectively predicts exercise class attendance among older women (n = 122) who underwent either a 52-week or 26-week exercise training intervention. Structural magnetic resonance imaging determined gray matter volume at baseline. Independent of intracranial volume, age, education, body composition, mobility, depressive symptoms, and general cognitive functioning, larger lPFC volume predicted greater exercise class attendance (all p values exercise adherence as well as identified other regions, especially in the insula and temporal cortex, that predicted exercise adherence. These findings suggest that sustained engagement in exercise training might rely in part on functions of the lPFC and that lPFC volume might be a reasonable proxy for such functions. © The Author 2017. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Measurement of exercise habits and prediction of leisure-time activity in established exercise.

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Tappe, Karyn A; Glanz, Karen

2013-01-01

Habit formation may be important to maintaining repetitive healthy behaviors like exercise. Existing habit questionnaires only measure part of the definition of habit (automaticity; frequency). A novel habit questionnaire was evaluated that measured contextual cueing. We designed a two-stage observational cohort study of regular exercisers. For stage 1, we conducted an in-person interview on a university campus. For stage 2, we conducted an internet-based survey. Participants were 156 adults exercising at least once per week. A novel measure, The Exercise Habit Survey (EHS) assessed contextual cueing through 13 questions on constancy of place, time, people, and exercise behaviors. A subset of the Self-Report Habit Index (SRHI), measuring automaticity, was also collected along with measures of intention and self-efficacy, and the International Physical Activity Questionnaire (IPAQ), leisure-time section. The EHS was evaluated using factor analysis and test-retest reliability. Its correlation to other exercise predictors and exercise behavior was evaluated using Pearson's r and hierarchical regression. Results suggested that the EHS comprised four subscales (People, Place, Time, Exercise Constancy). Only Exercise Constancy correlated significantly with SRHI. Only the People subscale predicted IPAQ exercise metabolic equivalents. The SRHI was a strong predictor. Contextual cueing is an important aspect of habit but measurement methodologies warrant refinement and comparison by different methods.

Advanced GIS Exercise: Estimating Beach and Dune Erosion in Coastal South Carolina

Science.gov (United States)

Hall, Steven T.; Post, Christopher J.

2008-01-01

Many natural resources graduate students across the nation are being required to learn proper use of geographic information systems (GIS) to include not only in their graduate research, but to also prepare for a career as a professional in natural resources. This demand creates a need for graduate students to be properly instructed in GIS.…

Introducing GIS across Levels: Designing for Diversity

Science.gov (United States)

Barros, Joana

2017-01-01

The paper proposes a strategy for designing introductory GIS modules at Birkbeck, University of London. Seven design aspects or elements (content, practical exercises, assessment, pace, mode, level of support, and level of difficulty) for tailoring modules at appropriate levels and for diversity are introduced and their application in Birkbeck's…

A primer of GIS fundamental geographic and cartographic concepts

CERN Document Server

Harvey, Francis

2015-01-01

This accessible text prepares students to understand and work with geographic information systems (GIS), offering a detailed introduction to essential theories, concepts, and skills. The book is organized in four modular parts that can be used in any sequence in entry-level and more specialized courses. Basic cartographic principles are integrated with up-to-date discussions of GIS technologies and applications. Coverage includes everything from what geographic information is to its many uses and societal implications. Practical examples and exercises invite readers to explore the choices invo

Development of Critical Spatial Thinking through GIS Learning

Science.gov (United States)

Kim, Minsung; Bednarz, Robert

2013-01-01

This study developed an interview-based critical spatial thinking oral test and used the test to investigate the effects of Geographic Information System (GIS) learning on three components of critical spatial thinking: evaluating data reliability, exercising spatial reasoning, and assessing problem-solving validity. Thirty-two students at a large…

In Vitro Dissolution of Fluconazole and Dipyridamole in Gastrointestinal Simulator (GIS), Predicting in Vivo Dissolution and Drug-Drug Interaction Caused by Acid-Reducing Agents.

Science.gov (United States)

Matsui, Kazuki; Tsume, Yasuhiro; Amidon, Gregory E; Amidon, Gordon L

2015-07-06

Weakly basic drugs typically exhibit pH-dependent solubility in the physiological pH range, displaying supersaturation or precipitation along the gastrointestinal tract. Additionally, their oral bioavailabilities may be affected by coadministration of acid-reducing agents that elevate gastric pH. The purpose of this study was to assess the feasibility of a multicompartmental in vitro dissolution apparatus, Gastrointestinal Simulator (GIS), in predicting in vivo dissolution of certain oral medications. In vitro dissolution studies of fluconazole, a BCS class I, and dipyridamole, a BCS class II weak bases (class IIb), were performed in the GIS as well as United States Pharmacopeia (USP) apparatus II and compared with the results of clinical drug-drug interaction (DDI) studies. In both USP apparatus II and GIS, fluconazole completely dissolved within 60 min regardless of pH, reflecting no DDI between fluconazole and acid-reducing agents in a clinical study. On the other hand, seven-fold and 15-fold higher concentrations of dipyridamole than saturation solubility were observed in the intestinal compartments in GIS with gastric pH 2.0. Precipitation of dipyridamole was also observed in the GIS, and the percentage of dipyridamole in solution was 45.2 ± 7.0%. In GIS with gastric pH 6.0, mimicking the coadministration of acid-reducing agents, the concentration of dipyridamole was equal to its saturation solubility, and the percentage of drug in solution was 9.3 ± 2.7%. These results are consistent with the clinical DDI study of dipyridamole with famotidine, which significantly reduced the Cmax and area under the curve. An In situ mouse infusion study combined with GIS revealed that high concentration of dipyridamole in the GIS enhanced oral drug absorption, which confirmed the supersaturation of dipyridamole. In conclusion, GIS was shown to be a useful apparatus to predict in vivo dissolution for BCS class IIb drugs.

Does exercise motivation predict engagement in objectively assessed bouts of moderate-intensity exercise? A self-determination theory perspective.

Science.gov (United States)

Standage, Martyn; Sebire, Simon J; Loney, Tom

2008-08-01

This study examined the utility of motivation as advanced by self-determination theory (Deci & Ryan, 2000) in predicting objectively assessed bouts of moderate intensity exercise behavior. Participants provided data pertaining to their exercise motivation. One week later, participants wore a combined accelerometer and heart rate monitor (Actiheart; Cambridge Neurotechnology Ltd) and 24-hr energy expenditure was estimated for 7 days. After controlling for gender and a combined marker of BMI and waist circumference, results showed autonomous motivation to positively predict moderate-intensity exercise bouts of >or=10 min, or=20 min, and an accumulation needed to meet public health recommendations for moderate intensity activity (i.e., ACSM/AHA guidelines). The present findings add bouts of objectively assessed exercise behavior to the growing body of literature that documents the adaptive consequences of engaging in exercise for autonomous reasons. Implications for practice and future work are discussed.

Implementing GIS in real estate price prediction and mass valuation: the case study of Nicosia District

Science.gov (United States)

Yiorkas, Charalambos; Dimopoulos, Thomas

2017-09-01

When the European Commission, International Monetary Fund and European Central Bank arrived in Cyprus to assist for a sustainable solution on the crisis on the banking sector, one of the first things they ordered was a New General Valuation (a mass appraisal that would revalue all properties in Cyprus as on 1st of January 2013), that it would be used for taxation purposes. The above indicates the importance of property mass appraising tools. This task was successfully conducted by the Department of Lands and Surveys. Authors aim to move a step further and implement the use of GIS and GWR techniques to improve the results of the New General Valuation. On a sample of comparative evidences for flats in Nicosia District, GIS was used to measure the impact of spatial attributes on real estate prices and to construct a prediction model in terms of spatially estimating apartment values. In addition to the structural property characteristics, some spatial attributes (landmarks) were also analysed to assess their contribution on the prices of the apartments, including the Central Business District (CBD), schools and universities, as well as the major city roads and the restricted zone that divides the country into two parts; the occupied by Turkish area and the Greek area. The values of the spatial attributes, or locational characteristics, were determined by employing GIS, considering an established model of multicriteria analysis. The price prediction model was analysed using the OLS method and calibrated based on the GWR method. The results of the statistic process indicate an accuracy of 81.34%, showing better performance than the mass valuation system applied by the Department of Land and Surveys in Cyprus with accuracy of 66.76%. This approach suggests that GIS systems are fundamentally important in mass valuation procedures in order to identify the spatial pattern of the attributes, provided that the database is comprised by a sufficient number of comparable

Factors predicting barriers to exercise in midlife Australian women.

Science.gov (United States)

McGuire, Amanda; Seib, Charrlotte; Anderson, Debra

2016-05-01

Chronic diseases are the leading cause of death and disability worldwide. They are, though, largely attributable to modifiable lifestyle risk factors, including lack of exercise. This study aims to investigate what factors predict perceptions of barriers to exercise in midlife women. This cross-sectional descriptive study collected data from midlife Australian women by online questionnaire. Volunteers aged between 40 and 65 years were recruited following media publicity about the study. The primary outcome measure was perceived exercise barriers (EBBS Barriers sub-scale). Other self-report data included: exercise, smoking, alcohol, fruit and vegetable consumption, body mass index, physical and mental health and well-being (MOS SF-12v2) and exercise self-efficacy. On average, the 225 participants were aged 50.9 years (SD=5.9). The significant predictors of perceived barriers to exercise were perceived benefits of exercise, exercise self-efficacy, physical well-being and mental well-being. These variables explained 41% of the variance in the final model (F (8219)=20.1, pexercise correlate with beliefs about the health benefits of exercise, exercise self-efficacy, physical and mental well-being. These findings have application to health promotion interventions targeting exercise behaviour change in midlife women. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Teaching with a GIS using existing grade 7--12 curricula

Science.gov (United States)

Brown, Stephen Castlebury

As Geographic Information Systems (GIS) become less expensive and easier to use, the demand for individuals knowledgeable of this technology increases. Associated with this is the current and future necessity of a public who understands the wide range of technical proficiencies needed for accurate GIS mapping. On a nationwide basis, GIS education in K--12 schools is rare. In the few instances where a school teaches students about these technologies, it is usually led by a single teacher and is not taught on a school-wide basis. This situation exists despite some research indicating that a classroom GIS might enhance the learning of students. Two primary barriers to teacher use and acceptance of a classroom GIS have been identified. First, most teachers lack any training in the use of a GIS. Secondly, there is conflict over focusing upon teaching about the use of a GIS or teaching with a GIS. Beginning in August of 1996 and concluding in August of 1998, nine separate GIS education programs were conducted for a variety of youths and adult educator audiences. Observations of participant's interactions with the GIS program ArcView would lead to the development of a demonstration curriculum and GIS application. To overcome institutional and educational barriers to youth GIS education, a curriculum partly adapted from existing materials and partly created from original materials was developed in Hypertext Markup Language (HTML). A corresponding GIS application was developed to teach about a GIS while instructing with a GIS. The curriculum was distributed for use on CD-ROM and called Georom. The hypertext curriculum provided lessons and exercises that addressed National Science Education Standards and was accessed using an Internet web browser. The curriculum included World Wide Web links to Internet sites with more information about specific topics. Modifications were made to ArcView's Graphical User Interface (GUI) that maintained the general appearance of its standard

Use of USLE/GIS methodology for predicting soil loss in a semiarid agricultural watershed.

Science.gov (United States)

Erdogan, Emrah H; Erpul, Günay; Bayramin, Ilhami

2007-08-01

The Universal Soil Loss Equation (USLE) is an erosion model to estimate average soil loss that would generally result from splash, sheet, and rill erosion from agricultural plots. Recently, use of USLE has been extended as a useful tool predicting soil losses and planning control practices in agricultural watersheds by the effective integration of the GIS-based procedures to estimate the factor values in a grid cell basis. This study was performed in the Kazan Watershed located in the central Anatolia, Turkey, to predict soil erosion risk by the USLE/GIS methodology for planning conservation measures in the site. Rain erosivity (R), soil erodibility (K), and cover management factor (C) values of the model were calculated from erosivity map, soil map, and land use map of Turkey, respectively. R values were site-specifically corrected using DEM and climatic data. The topographical and hydrological effects on the soil loss were characterized by LS factor evaluated by the flow accumulation tool using DEM and watershed delineation techniques. From resulting soil loss map of the watershed, the magnitude of the soil erosion was estimated in terms of the different soil units and land uses and the most erosion-prone areas where irreversible soil losses occurred were reasonably located in the Kazan watershed. This could be very useful for deciding restoration practices to control the soil erosion of the sites to be severely influenced.

Blind prediction exercise on modeling of PHWR fuel at extended burnup

International Nuclear Information System (INIS)

Sah, D.N.; Viswanathan, U.K.; Viswanadham, C.S.; Unnikrishnan, K.; Rath, B.N.

2008-01-01

A blind prediction exercise was organised on Indian Pressurised Heavy Water Reactor (PHWR) fuel to investigate the predictive capability of existing codes for their application at extended burnup and to identify areas of improvement. The blind problem for this exercise was based on a PHWR fuel bundle irradiated in Kakrapar Atomic Power Station-I (KAPS-I) up to about 15 000 MWd/tU and subjected to detailed post-irradiation examination (PIE) in the hot cells facility at BARC. Eleven computer codes from seven countries participated in this exercise. The participants provided blind predictions of fuel temperature, fission gas release, internal gas pressure and other performance parameters for the fuel pins. The predictions were compared with the experimental PIE data which included fuel temperature derived from fuel restructuring, fission gas release measured by fuel pin puncturing, internal gas pressure in pin, cladding oxidation and fuel microstructural data. The details of the blind problem and an analysis of the results of blind predictions by the codes vis-a-vis measured data are provided in this paper

GIS and radiological crisis management; SIG et gestion de crise radiologique

Energy Technology Data Exchange (ETDEWEB)

Kacenelen, Y.

2009-07-01

The author reports a new operational exercise performed on September 17, 2009 on the CEA Saclay site. For this purpose, the CEA (the French Atomic Energy Commission) developed M2IRAGE, a tool based on ArcGIS 9.3 technologies. This tool allows an easier data collection and exploitation in order to quickly map the distribution of radioactive particles and thus help the management of the health response and emergency organization within two hours after the warning. This tool notably uses a geographic information system (GIS)

GIS based procedure of cumulative environmental impact assessment.

Science.gov (United States)

Balakrishna Reddy, M; Blah, Baiantimon

2009-07-01

Scale and spatial limits of impact assessment study in a GIS platform are two very important factors that could have a bearing on the genuineness and quality of impact assessment. While effect of scale has been documented and well understood, no significant study has been carried out on spatial considerations in an impact assessment study employing GIS technique. A novel technique of impact assessment demonstrable through GIS approach termed hereby as 'spatial data integrated GIS impact assessment method (SGIAM)' is narrated in this paper. The technique makes a fundamental presumption that the importance of environmental impacts is dependent, among other things, on spatial distribution of the effects of the proposed action and of the affected receptors in a study area. For each environmental component considered (e.g., air quality), impact indices are calculated through aggregation of impact indicators which are measures of the severity of the impact. The presence and spread of environmental descriptors are suitably quantified through modeling techniques and depicted. The environmental impact index is calculated from data exported from ArcINFO, thus giving significant importance to spatial data in the impact assessment exercise.

Applying theory of planned behavior to predict exercise maintenance in sarcopenic elderly

Science.gov (United States)

Ahmad, Mohamad Hasnan; Shahar, Suzana; Teng, Nur Islami Mohd Fahmi; Manaf, Zahara Abdul; Sakian, Noor Ibrahim Mohd; Omar, Baharudin

2014-01-01

This study aimed to determine the factors associated with exercise behavior based on the theory of planned behavior (TPB) among the sarcopenic elderly people in Cheras, Kuala Lumpur. A total of 65 subjects with mean ages of 67.5±5.2 (men) and 66.1±5.1 (women) years participated in this study. Subjects were divided into two groups: 1) exercise group (n=34; 25 men, nine women); and 2) the control group (n=31; 22 men, nine women). Structural equation modeling, based on TPB components, was applied to determine specific factors that most contribute to and predict actual behavior toward exercise. Based on the TPB’s model, attitude (β=0.60) and perceived behavioral control (β=0.24) were the major predictors of intention to exercise among men at the baseline. Among women, the subjective norm (β=0.82) was the major predictor of intention to perform the exercise at the baseline. After 12 weeks, attitude (men’s, β=0.68; women’s, β=0.24) and subjective norm (men’s, β=0.12; women’s, β=0.87) were the predictors of the intention to perform the exercise. “Feels healthier with exercise” was the specific factor to improve the intention to perform and to maintain exercise behavior in men (β=0.36) and women (β=0.49). “Not motivated to perform exercise” was the main barrier among men’s intention to exercise. The intention to perform the exercise was able to predict actual behavior regarding exercise at the baseline and at 12 weeks of an intervention program. As a conclusion, TPB is a useful model to determine and to predict maintenance of exercise in the sarcopenic elderly. PMID:25258524

Predicting Insulin Absorption and Glucose Uptake during Exercise in Type 1 Diabetes

Science.gov (United States)

Frank, Spencer; Hinshaw, Ling; Basu, Rita; Szeri, Andrew; Basu, Ananda

2017-11-01

A dose of insulin infused into subcutaneous tissue has been shown to absorb more quickly during exercise, potentially causing hypoglycemia in persons with type 1 diabetes. We develop a model that relates exercise-induced physiological changes to enhanced insulin-absorption (k) and glucose uptake (GU). Drawing on concepts of the microcirculation we derive a relationship that reveals that k and GU are mainly determined by two physiological parameters that characterize the tissue: the tissue perfusion rate (Q) and the capillary permeability surface area (PS). Independently measured values of Q and PS from the literature are used in the model to make predictions of k and GU. We compare these predictions to experimental observations of healthy and diabetic patients that are given a meal followed by rest or exercise. The experiments show that during exercise insulin concentrations significantly increase and that glucose levels fall rapidly. The model predictions are consistent with the experiments and show that increases in Q and PS directly increase k and GU. This mechanistic understanding provides a basis for handling exercise in control algorithms for an artificial pancreas. Now at University of British Columbia.

The impact of supersaturation level for oral absorption of BCS class IIb drugs, dipyridamole and ketoconazole, using in vivo predictive dissolution system: Gastrointestinal Simulator (GIS).

Science.gov (United States)

Tsume, Yasuhiro; Matsui, Kazuki; Searls, Amanda L; Takeuchi, Susumu; Amidon, Gregory E; Sun, Duxin; Amidon, Gordon L

2017-05-01

The development of formulations and the assessment of oral drug absorption for Biopharmaceutical Classification System (BCS) class IIb drugs is often a difficult issue due to the potential for supersaturation and precipitation in the gastrointestinal (GI) tract. The physiological environment in the GI tract largely influences in vivo drug dissolution rates of those drugs. Thus, those physiological factors should be incorporated into the in vitro system to better assess in vivo performance of BCS class IIb drugs. In order to predict oral bioperformance, an in vitro dissolution system with multiple compartments incorporating physiologically relevant factors would be expected to more accurately predict in vivo phenomena than a one-compartment dissolution system like USP Apparatus 2 because, for example, the pH change occurring in the human GI tract can be better replicated in a multi-compartmental platform. The Gastrointestinal Simulator (GIS) consists of three compartments, the gastric, duodenal and jejunal chambers, and is a practical in vitro dissolution apparatus to predict in vivo dissolution for oral dosage forms. This system can demonstrate supersaturation and precipitation and, therefore, has the potential to predict in vivo bioperformance of oral dosage forms where this phenomenon may occur. In this report, in vitro studies were performed with dipyridamole and ketoconazole to evaluate the precipitation rates and the relationship between the supersaturation levels and oral absorption of BCS class II weak base drugs. To evaluate the impact of observed supersaturation levels on oral absorption, a study utilizing the GIS in combination with mouse intestinal infusion was conducted. Supersaturation levels observed in the GIS enhanced dipyridamole and ketoconazole absorption in mouse, and a good correlation between their supersaturation levels and their concentration in plasma was observed. The GIS, therefore, appears to represent in vivo dissolution phenomena and

Predicting Athletes’ Pre-Exercise Fluid Intake: A Theoretical Integration Approach

Directory of Open Access Journals (Sweden)

Chunxiao Li

2018-05-01

Full Text Available Pre-exercise fluid intake is an important healthy behavior for maintaining athletes’ sports performances and health. However, athletes’ behavioral adherence to fluid intake and its underlying psychological mechanisms have not been investigated. This prospective study aimed to use a health psychology model that integrates the self-determination theory and the theory of planned behavior for understanding pre-exercise fluid intake among athletes. Participants (n = 179 were athletes from college sport teams who completed surveys at two time points. Baseline (Time 1 assessment comprised psychological variables of the integrated model (i.e., autonomous and controlled motivation, attitude, subjective norm, perceived behavioral control, and intention and fluid intake (i.e., behavior was measured prospectively at one month (Time 2. Path analysis showed that the positive association between autonomous motivation and intention was mediated by subjective norm and perceived behavioral control. Controlled motivation positively predicted the subjective norm. Intentions positively predicted pre-exercise fluid intake behavior. Overall, the pattern of results was generally consistent with the integrated model, and it was suggested that athletes’ pre-exercise fluid intake behaviors were associated with the motivational and social cognitive factors of the model. The research findings could be informative for coaches and sport scientists to promote athletes’ pre-exercise fluid intake behaviors.

Misremembering Past Affect Predicts Adolescents’ Future Affective Experience during Exercise

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Karnaze, Melissa M.; Levine, Linda J.; Schneider, Margaret

2018-01-01

Purpose Increasing physical activity among adolescents is a public health priority. Because people are motivated to engage in activities that make them feel good, this study examined predictors of adolescents’ feelings during exercise. Method During the first semester of the school year, we assessed sixth grade students’ (N = 136) cognitive appraisals of the importance of exercise. Participants also reported their affect during a cardiovascular fitness test, and recalled their affect during the fitness test later that semester. During the second semester, the same participants rated their affect during a moderate-intensity exercise task. Results Affect reported during the moderate-intensity exercise task was predicted by cognitive appraisals of the importance of exercise, and by misremembering affect during the fitness test as more positive than it actually was. This memory bias mediated the association between appraising exercise as important and experiencing a positive change in affect during the moderate-intensity exercise task. Conclusion These findings highlight the roles of both cognitive appraisals and memory as factors that may influence affect during exercise. Future work should explore whether affect during exercise can be modified by targeting appraisals and memories related to exercise experiences. PMID:28494196

Misremembering Past Affect Predicts Adolescents' Future Affective Experience During Exercise.

Science.gov (United States)

Karnaze, Melissa M; Levine, Linda J; Schneider, Margaret

2017-09-01

Increasing physical activity among adolescents is a public health priority. Because people are motivated to engage in activities that make them feel good, this study examined predictors of adolescents' feelings during exercise. During the 1st semester of the school year, we assessed 6th-grade students' (N = 136) cognitive appraisals of the importance of exercise. Participants also reported their affect during a cardiovascular fitness test and recalled their affect during the fitness test later that semester. During the 2nd semester, the same participants rated their affect during a moderate-intensity exercise task. Affect reported during the moderate-intensity exercise task was predicted by cognitive appraisals of the importance of exercise and by misremembering affect during the fitness test as more positive than it actually was. This memory bias mediated the association between appraising exercise as important and experiencing a positive change in affect during the moderate-intensity exercise task. These findings highlight the roles of both cognitive appraisals and memory as factors that may influence affect during exercise. Future work should explore whether affect during exercise can be modified by targeting appraisals and memories related to exercise experiences.

Pressure-Flow During Exercise Catheterization Predicts Survival in Pulmonary Hypertension.

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Hasler, Elisabeth D; Müller-Mottet, Séverine; Furian, Michael; Saxer, Stéphanie; Huber, Lars C; Maggiorini, Marco; Speich, Rudolf; Bloch, Konrad E; Ulrich, Silvia

2016-07-01

Pulmonary hypertension manifests with impaired exercise capacity. Our aim was to investigate whether the mean pulmonary arterial pressure to cardiac output relationship (mPAP/CO) predicts transplant-free survival in patients with pulmonary arterial hypertension (PAH) and inoperable chronic thromboembolic pulmonary hypertension (CTEPH). Hemodynamic data according to right heart catheterization in patients with PAH and CTEPH at rest and during supine incremental cycle exercise were analyzed. Transplant-free survival and predictive value of hemodynamics were assessed by using Kaplan-Meier and Cox regression analyses. Seventy patients (43 female; 54 with PAH, 16 with CTEPH; median (quartiles) age, 65 [50; 73] years; mPAP, 34 [29; 44] mm Hg; cardiac index, 2.8 [2.3; 3.5] [L/min]/m(2)) were followed up for 610 (251; 1256) days. Survival at 1, 3, 5, and 7 years was 89%, 81%, 71%, and 59%. Age, World Health Organization-functional class, 6-min walk test, and mixed-venous oxygen saturation (but not resting hemodynamics) predicted transplant-free survival. Maximal workload (hazard ratio [HR], 0.94 [95% CI, 0.89-0.99]; P = .027), peak cardiac index (HR, 0.51 [95% CI, 0.27-0.95]; P = .034), change in cardiac index, 0.25 [95% CI, 0.06-0.94]; P = .040), and mPAP/CO (HR, 1.02 [95% CI, 1.01-1.03]; P = .003) during exercise predicted survival. Values for mPAP/CO predicted 3-year transplant-free survival with an area under the curve of 0.802 (95% CI, 0.66-0.95; P = .004). In this collective of patients with PAH or CTEPH, the pressure-flow relationship during exercise predicted transplant-free survival and correlated with established markers of disease severity and outcome. Right heart catheterization during exercise may provide important complementary prognostic information in the management of pulmonary hypertension. Copyright © 2016 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Anxiety Sensitivity Uniquely Predicts Exercise Behaviors in Young Adults Seeking to Increase Physical Activity.

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Moshier, Samantha J; Szuhany, Kristin L; Hearon, Bridget A; Smits, Jasper A J; Otto, Michael W

2016-01-01

Individuals with elevated levels of anxiety sensitivity (AS) may be motivated to avoid aversive emotional or physical states, and therefore may have greater difficulty achieving healthy behavioral change. This may be particularly true for exercise, which produces many of the somatic sensations within the domain of AS concerns. Cross-sectional studies show a negative association between AS and exercise. However, little is known about how AS may prospectively affect attempts at behavior change in individuals who are motivated to increase their exercise. We recruited 145 young adults who self-identified as having a desire to increase their exercise behavior. Participants completed a web survey assessing AS and additional variables identified as important for behavior change-impulsivity, grit, perceived behavioral control, and action planning-and set a specific goal for exercising in the next week. One week later, a second survey assessed participants' success in meeting their exercise goals. We hypothesized that individuals with higher AS would choose lower exercise goals and would complete less exercise at the second survey. AS was not significantly associated with exercise goal level, but significantly and negatively predicted exercise at Time 2 and was the only variable to offer significant prediction beyond consideration of baseline exercise levels. These results underscore the importance of considering AS in relation to health behavior intentions. This is particularly apt given the absence of prediction offered by other traditional predictors of behavior change. © The Author(s) 2015.

Do Parents’ Exercise Habits Predict 13–18-Year-Old Adolescents’ Involvement in Sport?

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Sukys, Saulius; Majauskienė, Daiva; Cesnaitiene, Vida J.; Karanauskiene, Diana

2014-01-01

This study examined links between parents’ exercise habits and adolescents’ participation in sports activities, considering the aspects of gender and age. It was hypothesized that regular exercise by both parents would be related to children’s involvement in sport regardless of their gender and age. Moreover, it was hypothesized that children’s sports activities would be more strongly related to their father’s exercise activities. The study also examined the links between parents’ exercise habits and children’s motivation for sports. It was hypothesized that competition motives would be more important for children whose parents exercised regularly. The research sample included 2335 students from the seventh (n = 857), ninth (n = 960) and eleventh (n = 518) grades of various Lithuanian schools. The study used a questionnaire survey method, which revealed the links between parents’ exercise habits and their children’s participation in sport. Assessment of data for girls and boys showed that daughters’ participation in sport could be predicted by both their fathers’ and mothers’ exercise habits, but sons’ sports activities could be predicted only by the regular physical activities of their fathers. The assessment of children’s sporting activities according to age revealed links between parental exercising and the engagement of older (15–16 years old), but not younger adolescents (13–14 years old). Analysis of sports motivation showed that competition motives were more important for boys than for girls. Fitness, well-being and appearance motives were more important for older adolescents (15–18 years old), while competition motives were more important for younger adolescents (13–14 years old). Research revealed the relationship between children’s sport motives and fathers’ exercise habits, while examination of mothers’ exercise revealed no difference. Key points Parental exercising significantly predicts adolescents�

A GIS-derived integrated moisture index to predict forest composition and productivity of Ohio forests (U.S.A.)

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Louis R. Iverson; Martin E. Dale; Charles T. Scott; Anantha Prasad; Anantha Prasad

1997-01-01

A geographic information system (GIS) approach was used in conjunction with forest-plot data to develop an integrated moisture index (IMI), which was then used to predict forest productivity (site index) and species composition for forests in Ohio. In this region, typical of eastern hardwoods across the Midwest and southern Appalachians, topographic aspect and position...

Prediction of sedimentation using integration of RS, RUSLE model and GIS in Cameron Highlands, Pahang, Malaysia

Science.gov (United States)

Ghani, A. H. A.; Lihan, T.; Rahim, S. A.; Musthapha, M. A.; Idris, W. M. R.; Rahman, Z. A.

2013-11-01

Soil erosion and sediment yield are strongly affected by land use change. Spatially distributed erosion models are of great interest to predict soil erosion loss and sediment yield. Hence, the objective of this study was to determine sediment yield using Revised Universal Soil Loss Equation (RUSLE) model in Geographical Information System (GIS) environment at Cameron Highlands, Pahang, Malaysia. Sediment yield at the study area was determined using RUSLE model in GIS environment The RUSLE factors were computed by utilizing information on rainfall erosivity (R) using interpolation of rainfall data, soil erodibility (K) using soil map and field measurement, vegetation cover (C) using satellite images, length and steepness (LS) using contour map and conservation practices using satellite images based on land use/land cover. Field observations were also done to verify the predicted sediment yield. The results indicated that the rate of sediment yield in the study area ranged from very low to extremely high. The higher SY value can be found at middle and lower catchments of Cameron Highland. Meanwhile, the lower SY value can be found at the north part of the study area. Sediment yield value turned out to be higher close to the river due to the topographic characteristic, vegetation type and density, climate and land use within the drainage basin.

Applying theory of planned behavior to predict exercise maintenance in sarcopenic elderly

Directory of Open Access Journals (Sweden)

Ahmad MH

2014-09-01

Full Text Available Mohamad Hasnan Ahmad,1 Suzana Shahar,2 Nur Islami Mohd Fahmi Teng,2 Zahara Abdul Manaf,2 Noor Ibrahim Mohd Sakian,3 Baharudin Omar41Centre of Nutrition Epidemiology Research, Institute of Public Health, Ministry of Health, Kuala Lumpur, Malaysia; 2Dietetics Program, 3Occupational Therapy Program, 4Department of Biomedical Sciences, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia Abstract: This study aimed to determine the factors associated with exercise behavior based on the theory of planned behavior (TPB among the sarcopenic elderly people in Cheras, Kuala ­Lumpur. A total of 65 subjects with mean ages of 67.5±5.2 (men and 66.1±5.1 (women years participated in this study. Subjects were divided into two groups: 1 exercise group (n=34; 25 men, nine women; and 2 the control group (n=31; 22 men, nine women. Structural equation modeling, based on TPB components, was applied to determine specific factors that most contribute to and predict actual behavior toward exercise. Based on the TPB’s model, attitude (ß=0.60 and perceived behavioral control (ß=0.24 were the major predictors of intention to exercise among men at the baseline. Among women, the subjective norm (ß=0.82 was the major predictor of intention to perform the exercise at the baseline. After 12 weeks, attitude (men’s, ß=0.68; women’s, ß=0.24 and subjective norm (men’s, ß=0.12; women’s, ß=0.87 were the predictors of the intention to perform the exercise. “Feels healthier with exercise” was the specific factor to improve the intention to perform and to maintain exercise behavior in men (ß=0.36 and women (ß=0.49. “Not motivated to perform exercise” was the main barrier among men’s intention to exercise. The intention to perform the exercise was able to predict actual behavior regarding exercise at the baseline and at 12 weeks of an intervention program. As a conclusion, TPB is a useful model to determine and

Incremental value of clinical assessment, supine exercise electrocardiography, and biplane exercise radionuclide ventriculography in the prediction of coronary artery disease in men with chest pain

International Nuclear Information System (INIS)

Currie, P.J.; Kelly, M.J.; Harper, R.W.; Federman, J.; Kalff, V.; Anderson, S.T.; Pitt, A.

1983-01-01

The incremental value of clinical assessment, exercise electrocardiography (ECG) and biplane radionuclide ventriculography (RVG) in the prediction of coronary artery disease (CAD) was assessed in 105 men without myocardial infarction who were undergoing coronary angiography for investigation of chest pain. Independent clinical assessment of chest pain was made prospectively by 2 physicians. Graded supine bicycle exercise testing was symptom-limited. Right anterior oblique ECG-gated first-pass RVG and left anterior oblique ECG-gated equilibrium RVG were performed at rest and exercise. Regional wall motion abnormalities were defined by agreement of 2 of 3 blinded observers. A combined strongly positive exercise ECG response was defined as greater than or equal to 2 mm ST depression or 1.0 to 1.9 mm ST depression with exercise-induced chest pain. A multivariate logistic regression model for the preexercise prediction of CAD was derived from the clinical data and selected 2 variables: chest pain class and cholesterol level. A second model assessed the incremental value of the exercise test in prediction of CAD and found 2 exercise variables that improved prediction: RVG wall motion abnormalities, and a combined strongly positive ECG response. Applying the derived predictive models, 37 of the 58 patients (64%) with preexercise probabilities of 10 to 90% crossed either below the 10% probability threshold or above the 90% threshold and 28 (48%) also moved across the 5 and 95% thresholds. Supine exercise testing with ECG and biplane RVG together, but neither test alone, effectively adds to clinical prediction of CAD. It is most useful in men with atypical chest pain and when the ECG and RVG results are concordant

GIS Based Distributed Runoff Predictions in Variable Source Area Watersheds Employing the SCS-Curve Number

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Steenhuis, T. S.; Mendoza, G.; Lyon, S. W.; Gerard Marchant, P.; Walter, M. T.; Schneiderman, E.

2003-04-01

Because the traditional Soil Conservation Service Curve Number (SCS-CN) approach continues to be ubiquitously used in GIS-BASED water quality models, new application methods are needed that are consistent with variable source area (VSA) hydrological processes in the landscape. We developed within an integrated GIS modeling environment a distributed approach for applying the traditional SCS-CN equation to watersheds where VSA hydrology is a dominant process. Spatial representation of hydrologic processes is important for watershed planning because restricting potentially polluting activities from runoff source areas is fundamental to controlling non-point source pollution. The methodology presented here uses the traditional SCS-CN method to predict runoff volume and spatial extent of saturated areas and uses a topographic index to distribute runoff source areas through watersheds. The resulting distributed CN-VSA method was incorporated in an existing GWLF water quality model and applied to sub-watersheds of the Delaware basin in the Catskill Mountains region of New York State. We found that the distributed CN-VSA approach provided a physically-based method that gives realistic results for watersheds with VSA hydrology.

Study on integrated approach of Nuclear Accident Hazard Predicting, Warning, and Optimized Controlling System based on GIS

International Nuclear Information System (INIS)

Tang Lijuan; Huang Shunxiang; Wang Xinming

2012-01-01

The issue of nuclear safety becomes the attention focus of international society after the nuclear accident happened in Fukushima. Aiming at the requirements of the prevention and controlling of Nuclear Accident establishment of Nuclear Accident Hazard Predicting, Warning and optimized Controlling System (NAPWS) is a imperative project that our country and army are desiderating, which includes multiple fields of subject as nuclear physics, atmospheric science, security science, computer science and geographical information technology, etc. Multiplatform, multi-system and multi-mode are integrated effectively based on GIS, accordingly the Predicting, Warning, and Optimized Controlling technology System of Nuclear Accident Hazard is established. (authors)

The role of remote sensing and GIS for spatial prediction of vector-borne diseases transmission: a systematic review.

Science.gov (United States)

Palaniyandi, M

2012-12-01

There have been several attempts made to the appreciation of remote sensing and GIS for the study of vectors, biodiversity, vector presence, vector abundance and the vector-borne diseases with respect to space and time. This study was made for reviewing and appraising the potential use of remote sensing and GIS applications for spatial prediction of vector-borne diseases transmission. The nature of the presence and the abundance of vectors and vector-borne diseases, disease infection and the disease transmission are not ubiquitous and are confined with geographical, environmental and climatic factors, and are localized. The presence of vectors and vector-borne diseases is most complex in nature, however, it is confined and fueled by the geographical, climatic and environmental factors including man-made factors. The usefulness of the present day availability of the information derived from the satellite data including vegetation indices of canopy cover and its density, soil types, soil moisture, soil texture, soil depth, etc. is integrating the information in the expert GIS engine for the spatial analysis of other geoclimatic and geoenvironmental variables. The present study gives the detailed information on the classical studies of the past and present, and the future role of remote sensing and GIS for the vector-borne diseases control. The ecological modeling directly gives us the relevant information to understand the spatial variation of the vector biodiversity, vector presence, vector abundance and the vector-borne diseases in association with geoclimatic and the environmental variables. The probability map of the geographical distribution and seasonal variations of horizontal and vertical distribution of vector abundance and its association with vector -borne diseases can be obtained with low cost remote sensing and GIS tool with reliable data and speed.

GIS WORK GROUP: AN OVERVIEW (INCLUDES GIS-QA AND AUDITING GIS DATABASE SYSTEMS)

Science.gov (United States)

In order to promote cooperation in the implementation of GIS in regional offices, a GIS Regional Workgroup was established by the ten Regions in 1989. Since that time the GIS Work Group evolved and now consists of members from each of the ten EPA Regional Offices, the Office of A...

Application of GIS in Beach Placer Exploration

International Nuclear Information System (INIS)

Babu, M.N.

2016-01-01

Application of Geographic Information System (GIS) in beach placer exploration combines the activities of data collection, organisation, visualisation, query, analysis and prediction. GIS has the potential to enhance the capability for creative data analysis, modelling and interpretation. Exploration software and GIS are essential tools for geoscientists searching for mineral deposits. GIS technology has come a long way in the past fifteen years, especially in data handling, analysis, visualization etc. Modern technology and solutions are now evolving to allow geoscientists to share data easily between mapping platforms and enterprise level GIS environments. In beach placer exploration programme, data handling and processing are the main challenging tasks due to generation and processing of large volume of field and laboratory data of the areas under investigation. Though there are limitations in visualising map data as a single map on a screen, due to its non-proportionate lengths and widths, a GIS can very well handle all these varied datasets to demarcate highly potential zones within a narrow coastal strip. Generally these datasets contain information from thousands of drillholes about their location co-ordinates, depth, height, description and thickness of lithounits, water table level, radioactivity and other pertinent subsurface properties. Field data collection can be efficiently done using a hand held global positioning system (GPS) installed with mobile-GIS application and data handling software

ASSESSING SPATIAL DATA QUALITY OF PARTICIPATORY GIS STUDIES: A CASE STUDY IN CAPE TOWN

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K. Musungu

2015-10-01

Full Text Available Participatory GIS (PGIS has been prescribed by scholars who sought to find a means to enable more equitable access to GIS data, diversifying the types of knowledge captured by a GIS and re-engineering GIS software. The popularity of PGIS is evident in the various studies and contexts in which it has been utilised. These include studies in risk assessment, land administration, resource management, crime mapping and urban design to mention but a few. Despite the popularity of PGIS as a body of research, little has been done in the analysis of the quality of PGIS information. The study investigated the use of data quality criteria commonly used in traditional GIS systems and shows that it is possible to apply the criteria used in traditional GIS to PGIS. It provides a starting point for PGIS studies to assess the quality of the product. Notably, this a reflective exercise on one case study, but the methodologies used in this study have been replicated in many others undertaken by Community Based Organisations as well as Non-Governmental Organisations. Therefore the findings are relevant to such projects.

Assessing Spatial Data Quality of Participatory GIS Studies: a Case Study in Cape Town

Science.gov (United States)

Musungu, K.

2015-10-01

Participatory GIS (PGIS) has been prescribed by scholars who sought to find a means to enable more equitable access to GIS data, diversifying the types of knowledge captured by a GIS and re-engineering GIS software. The popularity of PGIS is evident in the various studies and contexts in which it has been utilised. These include studies in risk assessment, land administration, resource management, crime mapping and urban design to mention but a few. Despite the popularity of PGIS as a body of research, little has been done in the analysis of the quality of PGIS information. The study investigated the use of data quality criteria commonly used in traditional GIS systems and shows that it is possible to apply the criteria used in traditional GIS to PGIS. It provides a starting point for PGIS studies to assess the quality of the product. Notably, this a reflective exercise on one case study, but the methodologies used in this study have been replicated in many others undertaken by Community Based Organisations as well as Non-Governmental Organisations. Therefore the findings are relevant to such projects.

GRASS GIS: The first Open Source Temporal GIS

Science.gov (United States)

Gebbert, Sören; Leppelt, Thomas

2015-04-01

GRASS GIS is a full featured, general purpose Open Source geographic information system (GIS) with raster, 3D raster and vector processing support[1]. Recently, time was introduced as a new dimension that transformed GRASS GIS into the first Open Source temporal GIS with comprehensive spatio-temporal analysis, processing and visualization capabilities[2]. New spatio-temporal data types were introduced in GRASS GIS version 7, to manage raster, 3D raster and vector time series. These new data types are called space time datasets. They are designed to efficiently handle hundreds of thousands of time stamped raster, 3D raster and vector map layers of any size. Time stamps can be defined as time intervals or time instances in Gregorian calendar time or relative time. Space time datasets are simplifying the processing and analysis of large time series in GRASS GIS, since these new data types are used as input and output parameter in temporal modules. The handling of space time datasets is therefore equal to the handling of raster, 3D raster and vector map layers in GRASS GIS. A new dedicated Python library, the GRASS GIS Temporal Framework, was designed to implement the spatio-temporal data types and their management. The framework provides the functionality to efficiently handle hundreds of thousands of time stamped map layers and their spatio-temporal topological relations. The framework supports reasoning based on the temporal granularity of space time datasets as well as their temporal topology. It was designed in conjunction with the PyGRASS [3] library to support parallel processing of large datasets, that has a long tradition in GRASS GIS [4,5]. We will present a subset of more than 40 temporal modules that were implemented based on the GRASS GIS Temporal Framework, PyGRASS and the GRASS GIS Python scripting library. These modules provide a comprehensive temporal GIS tool set. The functionality range from space time dataset and time stamped map layer management

Exercise training raises daily activity stronger than predicted from exercise capacity in patients with COPD.

Science.gov (United States)

Behnke, Michaela; Wewel, Alexandra R; Kirsten, Detlef; Jörres, Rudolf A; Magnussen, Helgo

2005-06-01

The 6-min walking (6MWD) and 6-min treadmill distance (6MTD) are often used as measures of exercise performance in patients with COPD. The aim of our study was to assess their relationship to daily activity in the course of an exercise training program. Eighty-eight patients with stable COPD (71m/17f; mean +/- SD age, 60 +/-8 year; FEV1, 43+/-14% pred) were recruited, 66 of whom performed a hospital-based 10-day walking training, whereas 22 were treated as control. On day 16MTD, and on days 8 and 10, 6MTD and 6MWD were determined. In addition, patients used an accelerometer (TriTrac-R3D) to record 24 h-activity, whereby training sessions were excluded. In both groups there was a linear relationship (r > or = 0.84 and P daily activity did not markedly vary with exercise capacity under baseline conditions. Participation in a training program increased activity significantly stronger than predicted from the gain in exercise capacity. This underlines the importance of non-physiological, patient-centered factors associated with training in COPD.

Predicting long-term average concentrations of traffic-related air pollutants using GIS-based information

Science.gov (United States)

Hochadel, Matthias; Heinrich, Joachim; Gehring, Ulrike; Morgenstern, Verena; Kuhlbusch, Thomas; Link, Elke; Wichmann, H.-Erich; Krämer, Ursula

Global regression models were developed to estimate individual levels of long-term exposure to traffic-related air pollutants. The models are based on data of a one-year measurement programme including geographic data on traffic and population densities. This investigation is part of a cohort study on the impact of traffic-related air pollution on respiratory health, conducted at the westerly end of the Ruhr-area in North-Rhine Westphalia, Germany. Concentrations of NO 2, fine particle mass (PM 2.5) and filter absorbance of PM 2.5 as a marker for soot were measured at 40 sites spread throughout the study region. Fourteen-day samples were taken between March 2002 and March 2003 for each season and site. Annual average concentrations for the sites were determined after adjustment for temporal variation. Information on traffic counts in major roads, building densities and community population figures were collected in a geographical information system (GIS). This information was used to calculate different potential traffic-based predictors: (a) daily traffic flow and maximum traffic intensity of buffers with radii from 50 to 10 000 m and (b) distances to main roads and highways. NO 2 concentration and PM 2.5 absorbance were strongly correlated with the traffic-based variables. Linear regression prediction models, which involved predictors with radii of 50 to 1000 m, were developed for the Wesel region where most of the cohort members lived. They reached a model fit ( R2) of 0.81 and 0.65 for NO 2 and PM 2.5 absorbance, respectively. Regression models for the whole area required larger spatial scales and reached R2=0.90 and 0.82. Comparison of predicted values with NO 2 measurements at independent public monitoring stations showed a satisfactory association ( r=0.66). PM 2.5 concentration, however, was only slightly correlated and thus poorly predictable by traffic-based variables ( rGIS-based regression models offer a promising approach to assess individual levels of

Valutare l'erosione del suolo mediante l'applicazione del modello RUSLE in ambiente GIS

Directory of Open Access Journals (Sweden)

Grazia Fattoruso

2010-03-01

Full Text Available Predicting GIS erosion by the application of RUSLE model in a GIS environmentThe increase in soil erosion risk due to the current climate change is a focal point in sustainable land management. Being able to predict this risk is fundamental for impact mitigation and soil resource conservation. The state-of-the-art in geo-information technologies (GIS, remote sensing and image analysis allows to perform, in semi-automatic way, assessments and predictions based on the integration of theoretical models with advanced techniques of geospatial and geostatistical analysis. One of the most successful models worldwide utilised, such as the Revised Universal Soil Loss Equation (RUSLE, can be now easily applied at multiple spatial and temporal scales, i.e. from the single catchment up to the regional scale and from interannual to long-term scenarios, by using GIS-based tools.

Valutare l'erosione del suolo mediante l'applicazione del modello RUSLE in ambiente GIS

Directory of Open Access Journals (Sweden)

Grazia Fattoruso

2010-03-01

Full Text Available Predicting GIS erosion by the application of RUSLE model in a GIS environment The increase in soil erosion risk due to the current climate change is a focal point in sustainable land management. Being able to predict this risk is fundamental for impact mitigation and soil resource conservation. The state-of-the-art in geo-information technologies (GIS, remote sensing and image analysis allows to perform, in semi-automatic way, assessments and predictions based on the integration of theoretical models with advanced techniques of geospatial and geostatistical analysis. One of the most successful models worldwide utilised, such as the Revised Universal Soil Loss Equation (RUSLE, can be now easily applied at multiple spatial and temporal scales, i.e. from the single catchment up to the regional scale and from interannual to long-term scenarios, by using GIS-based tools.

Using bench press load to predict upper body exercise loads in physically active individuals.

Science.gov (United States)

Wong, Del P; Ngo, Kwan-Lung; Tse, Michael A; Smith, Andrew W

2013-01-01

This study investigated whether loads for assistance exercises of the upper body can be predicted from the loads of the bench press exercise. Twenty-nine physically active collegiate students (age: 22.6 ± 2.5; weight training experience: 2.9 ± 2.1 years; estimated 1RM bench press: 54.31 ± 14.60 kg; 1RM: body weight ratio: 0.80 ± 0.22; BMI: 22.7 ± 2.1 kg·m(-2)) were recruited. The 6RM loads for bench press, barbell bicep curl, overhead dumbbell triceps extension, hammer curl and dumbbell shoulder press were measured. Test-retest reliability for the 5 exercises as determined by Pearson product moment correlation coefficient was very high to nearly perfect (0.82-0.98, p bench press load was significantly correlated with the loads of the 4 assistance exercises (r ranged from 0.80 to 0.93, p bench press load was a significant (R(2) range from 0.64 to 0.86, p Bench press load (0.28) + 6.30 kg, (b) Barbell biceps curl = Bench press load (0.33) + 6.20 kg, (c) Overhead triceps extension = Bench press load (0.33) - 0.60 kg, and (d) Dumbbell shoulder press = Bench press load (0.42) + 5.84 kg. The difference between the actual load and the predicted load using the four equations ranged between 6.52% and 8.54%, such difference was not significant. Fitness professionals can use the 6RM bench press load as a time effective and accurate method to predict training loads for upper body assistance exercises. Key pointsThe bench press load was significantly correlated with the loads of the 4 assistance exercises.No significant differences were found between the actual load and the predicted load in the four equations.6RM bench press load can be a time effective and accurate method to predict training loads for upper body assistance exercises.

Predictability of psychic outcome for exercise training and exercise training including relaxation therapy after myocardial infarction

NARCIS (Netherlands)

H.J. Duivenvoorden (Hugo); J. van Dixhoorn (J.)

1991-01-01

markdownabstractAbstract Predictability of the psychic outcome for two cardiac rehabilitation programmes was investigated in 119 myocardial infarction patients. They were randomly assigned to either a five-week daily exercise training or to an identical training in combination with six sessions

Multimodale trafiknet i GIS (Multimodal Traffic Network in GIS)

DEFF Research Database (Denmark)

Kronbak, Jacob; Brems, Camilla Riff

1996-01-01

The report introduces the use of multi-modal traffic networks within a geographical Information System (GIS). The necessary theory of modelling multi-modal traffic network is reviewed and applied to the ARC/INFO GIS by an explorative example.......The report introduces the use of multi-modal traffic networks within a geographical Information System (GIS). The necessary theory of modelling multi-modal traffic network is reviewed and applied to the ARC/INFO GIS by an explorative example....

GIS4schools: a new approach in GIS education

Science.gov (United States)

Demharter, Timo; Michel, Ulrich

2012-10-01

From a didactic point of view the procurement and the application of modern geographical methods and functions become more and more important. Although the integration of GIS in the classroom is repeatedly demanded, inter alia in Baden-Württemberg, Germany, the number of GIS users is small in comparison to other European countries or the USA. Possible reasons for this could, for instance, lie in the lack of GIS and computer knowledge of the teachers themselves and the subsequent extensive training effort in Desktop-GIS (KERSKI 2000, SCHLEICHER 2004). Today you have the technological possibilities to provide the broad public with geoinformation and geotechnology: Web technologies offer access to web-based, mobile and local applications through simple gateways. The objective of the project "GIS4schools" is to generate a service-based infrastructure, which can be operated via mobile clients as well as via Desktop-GIS or a Browser. Due to the easy availability of the services the focus is in particular on students. This circumstance is a novelty through which a differentiated approach to the implementation of GIS in schools is established. Accordingly, the pilot nature of this project becomes apparent as well as its greater importance beyond its actual content especially for the sector of media development at colleges of education. The continuity from Web-GIS to Desktop-GIS is innovative: The goal is to create an adapted multi-level solution which allows both, an easy introduction if desired or a detailed analysis - either to be achieved with a focus especially on students and their cooperation among one another.

Using a GIS model to assess terrestrial salamander response to alternative forest management plans

Science.gov (United States)

Eric J. Gustafson; Nathan L. Murphy; Thomas R. Crow

2001-01-01

A GIS model predicting the spatial distribution of terrestrial salamander abundance based on topography and forest age was developed using parameters derived from the literature. The model was tested by sampling salamander abundance across the full range of site conditions used in the model. A regression of the predictions of our GIS model against these sample data...

Self-determined to exercise? Leisure-time exercise behavior, exercise motivation, and exercise dependence in youth.

Science.gov (United States)

Symons Downs, Danielle; Savage, Jennifer S; DiNallo, Jennifer M

2013-02-01

Scant research has examined the determinants of primary exercise dependence symptoms in youth. Study purposes were to examine sex differences across leisure-time exercise behavior, motivation, and primary exercise dependence symptoms in youth and the extent to which exercise behavior and motivation predicted exercise dependence within the Self-Determination Theory framework. Adolescents (N = 805; mean age = 15 years; 46% girls) completed measures of exercise behavior, motivation, and exercise dependence in health/PE classes. One-way ANOVA revealed boys scored higher than girls on leisure-time exercise behavior, exercise dependence symptoms, and most of the exercise motivation subscales. Hierarchical regression analyses indicated a) sex, exercise behavior, motivation, and their interaction terms explained 39% of the variance in primary exercise dependence; b) Integrated Regulation and Introjected Regulation were important determinants of exercise dependence; and c) sex moderated the contributions of External Regulation for predicting exercise dependence such that boys in the high and low external regulation groups had higher symptoms than girls in the high and low external regulation groups. These preliminary findings support the controlled dimensions of Integrated Regulation (boys, girls), Introjected Regulation (boys, girls), and External Regulation (boys only) are important determinants of primary exercise dependence symptoms.

Effect of Climatic Factors and Population Density on the Distribution of Dengue in Sri Lanka: A GIS Based Evaluation for Prediction of Outbreaks.

Directory of Open Access Journals (Sweden)

Pdnn Sirisena

Full Text Available Dengue is one of the major hurdles to the public health in Sri Lanka, causing high morbidity and mortality. The present study focuses on the use of geographical information systems (GIS to map and evaluate the spatial and temporal distribution of dengue in Sri Lanka from 2009 to 2014 and to elucidate the association of climatic factors with dengue incidence. Epidemiological, population and meteorological data were collected from the Epidemiology Unit, Department of Census and Statistics and the Department of Meteorology of Sri Lanka. Data were analyzed using SPSS (Version 20, 2011 and R studio (2012 and the maps were generated using Arc GIS 10.2. The dengue incidence showed a significant positive correlation with rainfall (p<0.0001. No positive correlation was observed between dengue incidence and temperature (p = 0.107 or humidity (p = 0.084. Rainfall prior to 2 and 5 months and a rise in the temperature prior to 9 months positively correlated with dengue incidence as based on the auto-correlation values. A rise in humidity prior to 1 month had a mild positive correlation with dengue incidence. However, a rise in humidity prior to 9 months had a significant negative correlation with dengue incidence based on the auto-correlation values. Remote sensing and GIS technologies give near real time utility of climatic data together with the past dengue incidence for the prediction of dengue outbreaks. In that regard, GIS will be applicable in outbreak predictions including prompt identification of locations with dengue incidence and forecasting future risks and thus direct control measures to minimize major outbreaks.

A GIS-model for predicting the impact of climate change on shore erosion in hydroelectric reservoirs

International Nuclear Information System (INIS)

Penner, L.A.; Zimmer, T.A.M.; St Laurent, M.

2008-01-01

Shoreline erosion affects inland lakes and hydroelectric reservoirs in several ways. This poster described a vector-based geographic information system (GIS) model designed to predict changes in shore zone geometry, top-of-bluff recession, and eroded sediment volumes. The model was designed for use in Manitoba Hydro's reservoirs in northern Manitoba, and simulated near-shore downcutting and bank recession caused by wind-generated waves. Parameters for the model included deep water wave energy, and water level fluctuations. Effective wave energy was seen as a function of the water level fluctuation range, wave conditions, and near-shore slope. The model was validated by field monitoring studies that included repeated shore zone transect surveys and sediment coring studies. Results of the study showed that the model provides a systematic method of predicting potential changes in erosion associated with climatic change. The volume and mass of eroded sediment predicted for the different modelling scenarios will be used as input data for future sedimentation models. tabs., figs

Pulmonary hypertension in patients with idiopathic pulmonary fibrosis - the predictive value of exercise capacity and gas exchange efficiency.

Directory of Open Access Journals (Sweden)

Sven Gläser

Full Text Available Exercise capacity and survival of patients with IPF is potentially impaired by pulmonary hypertension. This study aims to investigate diagnostic and prognostic properties of gas exchange during exercise and lung function in IPF patients with or without pulmonary hypertension. In a multicentre setting, patients with IPF underwent right heart catheterization, cardiopulmonary exercise and lung function testing during their initial evaluation. Mortality follow up was evaluated. Seventy-three of 135 patients [82 males; median age of 64 (56; 72 years] with IPF had pulmonary hypertension as assessed by right heart catheterization [median mean pulmonary arterial pressure 34 (27; 43 mmHg]. The presence of pulmonary hypertension was best predicted by gas exchange efficiency for carbon dioxide (cut off ≥152% predicted; area under the curve 0.94 and peak oxygen uptake (≤56% predicted; 0.83, followed by diffusing capacity. Resting lung volumes did not predict pulmonary hypertension. Survival was best predicted by the presence of pulmonary hypertension, followed by peak oxygen uptake [HR 0.96 (0.93; 0.98]. Pulmonary hypertension in IPF patients is best predicted by gas exchange efficiency during exercise and peak oxygen uptake. In addition to invasively measured pulmonary arterial pressure, oxygen uptake at peak exercise predicts survival in this patient population.

Simple exercise test for the prediction of relative heat tolerance

International Nuclear Information System (INIS)

Kenney, W.L.; Lewis, D.A.; Anderson, R.K.; Kamon, E.

1986-01-01

A medical screening exercise test is presented which accurately predicts relative heat tolerance during work in very hot environments. The test consisted of 15-20 min of exercise at a standard absolute intensity of about 600 kcal/hr (140W) with the subject wearing a vapor-barrier suit. Five minutes after the subject exercised, recovery heart rate was measured. When this heart rate is used, a physiological limit (+/- approximately 5 min) can be predicted with 95% confidence for the most intense work-heat conditions found in nuclear power stations. In addition, site health and safety personnel can establish qualification criteria for work on hot jobs, based on the test results. The test as developed can be performed in an office environment with the use of a minimum of equipment by personnel with minimal expertise and training. Total maximal test duration is about 20-25 min per person and only heart rate need be monitored (simple pulse palpation will suffice). Test modality is adaptable to any ergometer, the most readily available and least expensive of which is bench-stepping. It is recommended that this test be available for use for those persons who, based upon routine medical examination or past history, are suspected of being relatively heat intolerant

GIS4schools: custom-made GIS-applications for educational use

Science.gov (United States)

Demharter, Timo; Michel, Ulrich

2013-10-01

From a didactic point of view the procurement and the application of modern geographical methods and functions become more and more important. Although the integration of GIS in the classroom is repeatedly demanded, inter alia in Baden-Württemberg, Germany, the number of GIS users is small in comparison to other European countries or the USA. Possible reasons for this could, for instance, lie in the lack of GIS and computer knowledge of the teachers themselves and the subsequent extensive training effort in Desktop-GIS [1]. Today you have the technological possibilities to provide the broad public with geoinformation and geotechnology: Web technologies offer access to web-based, mobile and local applications through simple gateways. The objective of the project "GIS4schools" is to generate a service-based infrastructure, which can be operated via mobile clients as well as via Desktop-GIS or a Browser. Due to the easy availability of the services the focus is in particular on students. This circumstance is a novelty through which a differentiated approach to the implementation of GIS in schools is established. Accordingly, the pilot nature of this project becomes apparent as well as its greater importance beyond its actual content especially for the sector of media development at colleges of education. The continuity from Web-GIS to Desktop-GIS is innovative: The goal is to create an adapted multi-level solution which allows both, an easy introduction if desired or a detailed analysis - either to be achieved with a focus especially on students and their cooperation among one another.

Assessing cutoff values for increased exercise blood pressure to predict incident hypertension in a general population.

Science.gov (United States)

Lorbeer, Roberto; Ittermann, Till; Völzke, Henry; Gläser, Sven; Ewert, Ralf; Felix, Stephan B; Dörr, Marcus

2015-07-01

Cutoff values for increased exercise blood pressure (BP) are not established in hypertension guidelines. The aim of the study was to assess optimal cutoff values for increased exercise BP to predict incident hypertension. Data of 661 normotensive participants (386 women) aged 25-77 years from the Study of Health in Pomerania (SHIP-1) with a 5-year follow-up were used. Exercise BP was measured at a submaximal level of 100 W and at maximum level of a symptom-limited cycle ergometry test. Cutoff values for increased exercise BP were defined at the maximum sum of sensitivity and specificity for the prediction of incident hypertension. The area under the receiver-operating characteristic curve (AUC) and net reclassification index (NRI) were calculated to investigate whether increased exercise BP adds predictive value for incident hypertension beyond established cardiovascular risk factors. In men, values of 160  mmHg (100  W level; AUC = 0.7837; NRI = 0.534, P AUC = 0.7677; NRI = 0.340, P = 0.003) were detected as optimal cutoff values for the definition of increased exercise SBP. A value of 190  mmHg (AUC = 0.8347; NRI = 0.519, P < 0.001) showed relevance for the definition of increased exercise SBP in women at the maximum level. According to our analyses, 190 and 210  mmHg are clinically relevant cutoff values for increased exercise SBP at the maximum exercise level of cycle ergometry test for women and men, respectively. In addition, for men, our analyses provided a cutoff value of 160  mmHg for increased exercise SBP at the 100  W level.

The role of descriptive norm within the theory of planned behavior in predicting Korean Americans' exercise behavior.

Science.gov (United States)

Lee, Hyo

2011-08-01

There are few studies investigating psychosocial mechanisms in Korean Americans' exercise behavior. The present study tested the usefulness of the theory of planned behavior in predicting Korean American's exercise behavior and whether the descriptive norm (i.e., perceptions of what others do) improved the predictive validity of the theory of planned behavior. Using a retrospective design and self-report measures, web-survey responses from 198 Korean-American adults were analyzed using hierarchical regression analyses. The theory of planned behavior constructs accounted for 31% of exercise behavior and 43% of exercise intention. Intention and perceived behavioral control were significant predictors of exercise behavior. Although the descriptive norm did not augment the theory of planned behavior, all original constructs--attitude, injunctive norm (a narrow definition of subjective norm), and perceived behavioral control--statistically significantly predicted leisure-time physical activity intention. Future studies should consider random sampling, prospective design, and objective measures of physical activity.

A model to predict multivessel coronary artery disease from the exercise thallium-201 stress test

International Nuclear Information System (INIS)

Pollock, S.G.; Abbott, R.D.; Boucher, C.A.; Watson, D.D.; Kaul, S.

1991-01-01

The aim of this study was to (1) determine whether nonimaging variables add to the diagnostic information available from exercise thallium-201 images for the detection of multivessel coronary artery disease; and (2) to develop a model based on the exercise thallium-201 stress test to predict the presence of multivessel disease. The study populations included 383 patients referred to the University of Virginia and 325 patients referred to the Massachusetts General Hospital for evaluation of chest pain. All patients underwent both cardiac catheterization and exercise thallium-201 stress testing between 1978 and 1981. In the University of Virginia cohort, at each level of thallium-201 abnormality (no defects, one defect, more than one defect), ST depression and patient age added significantly in the detection of multivessel disease. Logistic regression analysis using data from these patients identified three independent predictors of multivessel disease: initial thallium-201 defects, ST depression, and age. A model was developed to predict multivessel disease based on these variables. As might be expected, the risk of multivessel disease predicted by the model was similar to that actually observed in the University of Virginia population. More importantly, however, the model was accurate in predicting the occurrence of multivessel disease in the unrelated population studied at the Massachusetts General Hospital. It is, therefore, concluded that (1) nonimaging variables (age and exercise-induced ST depression) add independent information to thallium-201 imaging data in the detection of multivessel disease; and (2) a model has been developed based on the exercise thallium-201 stress test that can accurately predict the probability of multivessel disease in other populations

A GIS model predicting potential distributions of a lineage: a test case on hermit spiders (Nephilidae: Nephilengys).

Science.gov (United States)

Năpăruş, Magdalena; Kuntner, Matjaž

2012-01-01

Although numerous studies model species distributions, these models are almost exclusively on single species, while studies of evolutionary lineages are preferred as they by definition study closely related species with shared history and ecology. Hermit spiders, genus Nephilengys, represent an ecologically important but relatively species-poor lineage with a globally allopatric distribution. Here, we model Nephilengys global habitat suitability based on known localities and four ecological parameters. We geo-referenced 751 localities for the four most studied Nephilengys species: N. cruentata (Africa, New World), N. livida (Madagascar), N. malabarensis (S-SE Asia), and N. papuana (Australasia). For each locality we overlaid four ecological parameters: elevation, annual mean temperature, annual mean precipitation, and land cover. We used linear backward regression within ArcGIS to select two best fit parameters per species model, and ModelBuilder to map areas of high, moderate and low habitat suitability for each species within its directional distribution. For Nephilengys cruentata suitable habitats are mid elevation tropics within Africa (natural range), a large part of Brazil and the Guianas (area of synanthropic spread), and even North Africa, Mediterranean, and Arabia. Nephilengys livida is confined to its known range with suitable habitats being mid-elevation natural and cultivated lands. Nephilengys malabarensis, however, ranges across the Equator throughout Asia where the model predicts many areas of high ecological suitability in the wet tropics. Its directional distribution suggests the species may potentially spread eastwards to New Guinea where the suitable areas of N. malabarensis largely surpass those of the native N. papuana, a species that prefers dry forests of Australian (sub)tropics. Our model is a customizable GIS tool intended to predict current and future potential distributions of globally distributed terrestrial lineages. Its predictive

A GIS model predicting potential distributions of a lineage: a test case on hermit spiders (Nephilidae: Nephilengys.

Directory of Open Access Journals (Sweden)

Magdalena Năpăruş

Full Text Available BACKGROUND: Although numerous studies model species distributions, these models are almost exclusively on single species, while studies of evolutionary lineages are preferred as they by definition study closely related species with shared history and ecology. Hermit spiders, genus Nephilengys, represent an ecologically important but relatively species-poor lineage with a globally allopatric distribution. Here, we model Nephilengys global habitat suitability based on known localities and four ecological parameters. METHODOLOGY/PRINCIPAL FINDINGS: We geo-referenced 751 localities for the four most studied Nephilengys species: N. cruentata (Africa, New World, N. livida (Madagascar, N. malabarensis (S-SE Asia, and N. papuana (Australasia. For each locality we overlaid four ecological parameters: elevation, annual mean temperature, annual mean precipitation, and land cover. We used linear backward regression within ArcGIS to select two best fit parameters per species model, and ModelBuilder to map areas of high, moderate and low habitat suitability for each species within its directional distribution. For Nephilengys cruentata suitable habitats are mid elevation tropics within Africa (natural range, a large part of Brazil and the Guianas (area of synanthropic spread, and even North Africa, Mediterranean, and Arabia. Nephilengys livida is confined to its known range with suitable habitats being mid-elevation natural and cultivated lands. Nephilengys malabarensis, however, ranges across the Equator throughout Asia where the model predicts many areas of high ecological suitability in the wet tropics. Its directional distribution suggests the species may potentially spread eastwards to New Guinea where the suitable areas of N. malabarensis largely surpass those of the native N. papuana, a species that prefers dry forests of Australian (subtropics. CONCLUSIONS: Our model is a customizable GIS tool intended to predict current and future potential

Validation and Refinement of Prediction Models to Estimate Exercise Capacity in Cancer Survivors Using the Steep Ramp Test.

Science.gov (United States)

Stuiver, Martijn M; Kampshoff, Caroline S; Persoon, Saskia; Groen, Wim; van Mechelen, Willem; Chinapaw, Mai J M; Brug, Johannes; Nollet, Frans; Kersten, Marie-José; Schep, Goof; Buffart, Laurien M

2017-11-01

To further test the validity and clinical usefulness of the steep ramp test (SRT) in estimating exercise tolerance in cancer survivors by external validation and extension of previously published prediction models for peak oxygen consumption (Vo 2peak ) and peak power output (W peak ). Cross-sectional study. Multicenter. Cancer survivors (N=283) in 2 randomized controlled exercise trials. Not applicable. Prediction model accuracy was assessed by intraclass correlation coefficients (ICCs) and limits of agreement (LOA). Multiple linear regression was used for model extension. Clinical performance was judged by the percentage of accurate endurance exercise prescriptions. ICCs of SRT-predicted Vo 2peak and W peak with these values as obtained by the cardiopulmonary exercise test were .61 and .73, respectively, using the previously published prediction models. 95% LOA were ±705mL/min with a bias of 190mL/min for Vo 2peak and ±59W with a bias of 5W for W peak . Modest improvements were obtained by adding body weight and sex to the regression equation for the prediction of Vo 2peak (ICC, .73; 95% LOA, ±608mL/min) and by adding age, height, and sex for the prediction of W peak (ICC, .81; 95% LOA, ±48W). Accuracy of endurance exercise prescription improved from 57% accurate prescriptions to 68% accurate prescriptions with the new prediction model for W peak . Predictions of Vo 2peak and W peak based on the SRT are adequate at the group level, but insufficiently accurate in individual patients. The multivariable prediction model for W peak can be used cautiously (eg, supplemented with a Borg score) to aid endurance exercise prescription. Copyright © 2017 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Do Parents’ Exercise Habits Predict 13–18-Year-Old Adolescents’ Involvement in Sport?

Directory of Open Access Journals (Sweden)

Saulius Sukys, Daiva Majauskienė, Vida J. Cesnaitiene, Diana Karanauskiene

2014-09-01

Full Text Available This study examined links between parents’ exercise habits and adolescents’ participation in sports activities, considering the aspects of gender and age. It was hypothesized that regular exercise by both parents would be related to children’s involvement in sport regardless of their gender and age. Moreover, it was hypothesized that children’s sports activities would be more strongly related to their father’s exercise activities. The study also examined the links between parents’ exercise habits and children’s motivation for sports. It was hypothesized that competition motives would be more important for children whose parents exercised regularly. The research sample included 2335 students from the seventh (n = 857, ninth (n = 960 and eleventh (n = 518 grades of various Lithuanian schools. The study used a questionnaire survey method, which revealed the links between parents’ exercise habits and their children’s participation in sport. Assessment of data for girls and boys showed that daughters’ participation in sport could be predicted by both their fathers’ and mothers’ exercise habits, but sons’ sports activities could be predicted only by the regular physical activities of their fathers. The assessment of children’s sporting activities according to age revealed links between parental exercising and the engagement of older (15–16 years old, but not younger adolescents (13–14 years old. Analysis of sports motivation showed that competition motives were more important for boys than for girls. Fitness, well-being and appearance motives were more important for older adolescents (15–18 years old, while competition motives were more important for younger adolescents (13–14 years old. Research revealed the relationship between children’s sport motives and fathers’ exercise habits, while examination of mothers’ exercise revealed no difference.

Prediction of treatment outcomes to exercise in patients with nonremitted major depressive disorder.

Science.gov (United States)

Rethorst, Chad D; South, Charles C; Rush, A John; Greer, Tracy L; Trivedi, Madhukar H

2017-12-01

Only one-third of patients with major depressive disorder (MDD) achieve remission with initial treatment. Consequently, current clinical practice relies on a "trial-and-error" approach to identify an effective treatment for each patient. The purpose of this report was to determine whether we could identify a set of clinical and biological parameters with potential clinical utility for prescription of exercise for treatment of MDD in a secondary analysis of the Treatment with Exercise Augmentation in Depression (TREAD) trial. Participants with nonremitted MDD were randomized to one of two exercise doses for 12 weeks. Participants were categorized as "remitters" (≤12 on the IDS-C), nonresponders (drop in IDS-C), or neither. The least absolute shrinkage and selection operator (LASSO) and random forests were used to evaluate 30 variables as predictors of both remission and nonresponse. Predictors were used to model treatment outcomes using logistic regression. Of the 122 participants, 36 were categorized as remitters (29.5%), 56 as nonresponders (45.9%), and 30 as neither (24.6%). Predictors of remission were higher levels of brain-derived neurotrophic factor (BDNF) and IL-1B, greater depressive symptom severity, and higher postexercise positive affect. Predictors of treatment nonresponse were low cardiorespiratory fitness, lower levels of IL-6 and BDNF, and lower postexercise positive affect. Models including these predictors resulted in predictive values greater than 70% (true predicted remitters/all predicted remitters) with specificities greater than 25% (true predicted remitters/all remitters). Results indicate feasibility in identifying patients who will either remit or not respond to exercise as a treatment for MDD utilizing a clinical decision model that incorporates multiple patient characteristics. © 2017 Wiley Periodicals, Inc.

Increasing discomfort tolerance predicts incentive senitization of exercise reinforcement: Preliminary results from a randomized controlled intervention to increase the reinforcing value of exercise in overweight to obese adu

Science.gov (United States)

Objective: The reinforcing (motivating) value of exercise/physical activity (RRVex) predicts usual exercise behavior and meeting of physical activity guidelines. Recent cross-sectional evidence suggests, for the first time, that greater tolerance for the discomfort experienced during exercise is ass...

Role of exercise thallium-201 myocardial perfusion scintigraphy in predicting prognosis in suspected coronary artery disease

International Nuclear Information System (INIS)

Koss, J.H.; Kobren, S.M.; Grunwald, A.M.; Bodenheimer, M.M.

1987-01-01

While exercise thallium imaging has improved sensitivity and specificity for detection of coronary artery disease (CAD), its predictive value for morbid cardiac events is unclear. Of 532 consecutive patients who underwent exercise thallium imaging, follow-up was complete in 515 (97%) after an average of 36 months (range 31 to 48). Two hundred six patients had an abnormal exercise thallium response and 309 had a normal response. Twenty morbid cardiac events occurred (13 deaths and 7 acute myocardial infarctions [AMI]). Of the 13 patients who died, 12 had abnormal thallium results. Overall, 5.8% of the patients with abnormal thallium results died, in contrast to 0.3% of patients with normal results. Of the 7 patients who had a nonfatal AMI, 3 had abnormal exercise thallium results. Moreover, similar proportions of patients (1.4% and 1.3%) with normal and abnormal exercise thallium results had nonfatal AMI. Presence or absence of pathologic Q waves and inclusion of exercise electrocardiographic results did not significantly alter the results. Thus, although a normal exercise thallium response significantly reduces the likelihood of cardiovascular death, its predictive value for nonfatal AMI is limited. Moreover, the relatively low event rate for patients with a positive exercise thallium response further limits its prognostic value

Predicting short and long-term exercise intentions and behaviour in patients with coronary artery disease: A test of protection motivation theory.

Science.gov (United States)

Tulloch, Heather; Reida, Robert; D'Angeloa, Monika Slovinec; Plotnikoff, Ronald C; Morrina, Louise; Beatona, Louise; Papadakisa, Sophia; Pipe, Andrew

2009-03-01

The purpose of this study was to examine the utility of protection motivation theory (PMT) in the prediction of exercise intentions and behaviour in the year following hospitalisation for coronary artery disease (CAD). Patients with documented CAD (n = 787), recruited at hospital discharge, completed questionnaires measuring PMT's threat (i.e. perceived severity and vulnerability) and coping (i.e. self-efficacy, response efficacy) appraisal constructs at baseline, 2 and 6 months, and exercise behaviour at baseline, 6 and 12 months post-hospitalisation. Structural equation modelling showed that the PMT model of exercise at 6 months had a good fit with the empirical data. Self-efficacy, response efficacy, and perceived severity predicted exercise intentions, which, in turn predicted exercise behaviour. Overall, the PMT variables accounted for a moderate amount of variance in exercise intentions (23%) and behaviour (20%). In contrast, the PMT model was not reliable for predicting exercise behaviour at 12 months post-hospitalisation. The data provided support for PMT applied to short-term, but not long-term, exercise behaviour among patients with CAD. Health education should concentrate on providing positive coping messages to enhance patients' confidence regarding exercise and their belief that exercise provides health benefits, as well as realistic information about disease severity.

Validity of predicting left ventricular end systolic pressure changes following an acute bout of exercise.

Science.gov (United States)

Kappus, Rebecca M; Ranadive, Sushant M; Yan, Huimin; Lane, Abbi D; Cook, Marc D; Hall, Grenita; Harvey, I Shevon; Wilund, Kenneth R; Woods, Jeffrey A; Fernhall, Bo

2013-01-01

Left ventricular end systolic pressure (LV ESP) is important in assessing left ventricular performance and is usually derived from prediction equations. It is unknown whether these equations are accurate at rest or following exercise in a young, healthy population. Measured LV ESP vs. LV ESP values from the prediction equations were compared at rest, 15 min and 30 min following peak aerobic exercise in 60 participants. LV ESP was obtained by applanation tonometry at rest, 15 min post and 30 min post peak cycle exercise. Measured LV ESP was significantly lower (p<0.05) at all time points in comparison to the two calculated values. Measured LV ESP decreased significantly from rest at both the post15 and post30 time points (p<0.05) and changed differently in comparison to the calculated values (significant interaction; p<0.05). The two LV ESP equations were also significantly different from each other (p<0.05) and changed differently over time (significant interaction; p<0.05). The two commonly used prediction equations did not accurately predict either resting or post exercise LV ESP in a young, healthy population. Thus, LV ESP needs to be individually determined in young, healthy participants. Non-invasive measurement through applanation tonometry appears to allow for a more accurate determination of LV ESP. Copyright © 2012 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

Understanding forest-derived biomass supply with GIS modelling

DEFF Research Database (Denmark)

Hock, B. K.; Blomqvist, L.; Hall, P.

2012-01-01

distribution, and the cost of delivery as forests are frequently remote from energy users. A GIS-based model was developed to predict supply curves of forest biomass material for a site or group of sites, both now and in the future. The GIS biomass supply model was used to assist the New Zealand Energy...... Efficiency and Conservation Authority's development of a national target for biomass use for industrial heat production, to determine potential forest residue volumes for industrial heat and their delivery costs for 19 processing plants of the dairy company Fonterra, and towards investigating options...

Body talk among undergraduate women: why conversations about exercise and weight loss differentially predict body appreciation.

Science.gov (United States)

Wasylkiw, Louise; Butler, Nicole A

2014-08-01

Undergraduate women (N = 143) completed self-reports on exercise behavior, body orientation, body appreciation, and body-related talk. Results showed that conversations about weight loss/dieting and conversations about exercise differentially predicted body appreciation. Importantly, multiple regression analyses showed that the relationship between talk type and body appreciation was explained by the object-process dichotomy: Conversations about exercise oriented women to consider what their bodies can do which, in turn, predicted appreciation of one's body. In contrast, the relationship between conversations about weight loss/dieting and body appreciation was mediated by negative attitudes about one's body but not by an object orientation. © The Author(s) 2013.

Using squat testing to predict training loads for lower-body exercises in elite karate athletes.

Science.gov (United States)

Wong, Del P; Tan, Erik C H; Chaouachi, Anis; Carling, Christopher; Castagna, Carlo; Bloomfield, Jonathan; Behm, David G

2010-11-01

The purpose of this study was to determine the relationship between squat loads and 2 bilateral and 2 unilateral stepping lower-body exercises in predominantly unilateral movement elite athletes (Karate). Equations to predict loads for lower-body exercises based on the squat load were also determined. Fourteen male elite Karate athletes (age = 22.6 ± 1.2 years) performed 6 repetition maximum (RM) of the following free-weight bilateral exercises: back half squat, deadlift, leg press and unilateral stepping exercises, lunge; and step-up. Results showed that 6RM squat load was significantly (p squat load was a significant predictor for deadlift, leg press, lunge, and step-up (R2 range from 0.57 to 0.85, p squat load (1.12)-16.60 kg, (b) Leg press = squat load (1.66) + 16.10 kg, (c) Lunge = squat load (0.61) + 9.39 kg, and (d) step-up = squat load (0.85)-10.36 kg. Coaches and fitness professionals can use the 6RM squat load as a time effective and accurate method to predict training loads for both bilateral and unilateral lower-body exercises with quadriceps as the prime mover. Load prescriptions for unilateral exercises should take into account the type of athletic population.

Land use change and prediction in the Baimahe Basin using GIS and CA-Markov model

International Nuclear Information System (INIS)

Wang, Shixu; Zhang, Zulu; Wang, Xue

2014-01-01

Using ArcGIS and IDRISI, land use dynamics and Shannon entropy information were applied in this paper to analyze the quantity and structure change in the Baimahe Basin from 1996 to 2008. A CA-Markov model was applied to predict the land use patterns in 2020. Results showed that farmland, forest and construction land are the dominant land use types in the Baimahe Basin. From 1996 to 2008, areas of farmland and forest decreased and other land use types increased, with construction land increasing the most. The prediction results showed that the changes in land use patterns from 2008 to 2020 would be the same with those from 1996 to 2008. Main changes are the transiting out of farmland and forest and the transiting in of construction land. The order degree of the whole basin goes on decreasing. Measures of farmland protection and grain for green projects should be adopted to enhance the stability of land use system in the Baimahe Basin in order to promote regional sustainable development

Using GIS to study the health impact of air emissions.

Science.gov (United States)

Dent, A L; Fowler, D A; Kaplan, B M; Zarus, G M; Henriques, W D

2000-02-01

Geographical Information Systems (GIS) is a fast-developing technology with an ever-increasing number of applications. Air dispersion modeling is a well-established discipline that can produce results in a spatial context. The marriage of these two applications is optimal because it leverages the predictive capacity of modeling with the data management, analysis, and display capabilities of GIS. In the public health arena, exposure estimation techniques are invaluable. The utilization of air emission data, such as U.S. EPA Toxic Release Inventory (TRI) data, and air dispersion modeling with GIS enable public health professionals to identify and define the potentially exposed population, estimate the health risk burden of that population, and determine correlations between point-based health outcome results with estimated health risk.

Format conversion between CAD data and GIS data based on ArcGIS

Science.gov (United States)

Xie, Qingqing; Wei, Bo; Zhang, Kailin; Wang, Zhichao

2015-12-01

To make full use of the data resources and realize a sharing for the different types of data in different industries, a method of format conversion between CAD data and GIS data based on ArcGIS was proposed. To keep the integrity of the converted data, some key steps to process CAD data before conversion were made in AutoCAD. For examples, deleting unnecessary elements such as title, border and legend avoided the appearance of unnecessary elements after conversion, as layering data again by a national standard avoided the different types of elements to appear in a same layer after conversion. In ArcGIS, converting CAD data to GIS data was executed by the correspondence of graphic element classification between AutoCAD and ArcGIS. In addition, an empty geographic database and feature set was required to create in ArcGIS for storing the text data of CAD data. The experimental results show that the proposed method avoids a large amount of editing work in data conversion and maintains the integrity of spatial data and attribute data between before and after conversion.

Novel GIS approaches to watershed science and management: Description, prediction, and integration

Science.gov (United States)

Spatial data and geographic information systems (GIS) are playing an increasingly important role in watershed science and management, particularly in the face of increasing climate uncertainty and demand for water resources. Concomitantly, scientists and managers are presented wi...

Attitudes toward physical activity and exercise: comparison of memory clinic patients and their caregivers and prediction of activity levels.

Science.gov (United States)

O'Connell, Megan E; Dal Bello-Haas, Vanina; Crossley, Margaret; Morgan, Debra G

2015-01-01

Regular physical activity and exercise (PA&E) reduces cognitive aging, may delay dementia onset, and for persons with dementia, may slow progression and improve quality of life. Memory clinic patients and caregivers described their PA&E and completed the Older Persons' Attitudes Toward Physical Activity and Exercise Questionnaire (OPAPAEQ). Caregivers and patients differed in their PA&E attitudes: patients were less likely to believe in the importance of PA&E for health promotion. PA&E attitudes were explored as predictors of self-reported exercise habits. Belief in the importance of high intensity exercise for health maintenance was the only variable that significantly predicted engagement in regular PA&E. Moreover, caregivers' attitudes toward high intensity exercise predicted memory patients' participation in PA&E. These findings may aid in development of exercise interventions for people with memory problems, and suggest that modification of specific attitudes toward exercise is an important component to ensure maximum participation and engagement in PA&E.

Characterization of lacunae density in pictorial surfaces using GIS software

Directory of Open Access Journals (Sweden)

Frederico Henriques

2010-01-01

Full Text Available This study deals with the application of simple image-processing techniques, in a geographic information system (GIS environment, on a detailed digital photography of a retabular painting. The aim is to register semi-automatically the lacunae density, through reclassification, and point density estimation. The digital photography image used on the exercise displays a detail of a 16th century panel painting named "Resurrection of Lazarus", from the Rotunda of Christ Convent, in Tomar, Portugal. The final result is a thematic pathology map of lacunae type.

Decision Support for Flood Event Prediction and Monitoring

DEFF Research Database (Denmark)

Mioc, Darka; Anton, François; Liang, Gengsheng

2007-01-01

In this paper the development of Web GIS based decision support system for flood events is presented. To improve flood prediction we developed the decision support system for flood prediction and monitoring that integrates hydrological modelling and CARIS GIS. We present the methodology for data...... integration, floodplain delineation, and online map interfaces. Our Web-based GIS model can dynamically display observed and predicted flood extents for decision makers and the general public. The users can access Web-based GIS that models current flood events and displays satellite imagery and digital...... elevation model integrated with flood plain area. The system can show how the flooding prediction based on the output from hydrological modeling for the next 48 hours along the lower Saint John River Valley....

Teaching with ArcGIS Pro

OpenAIRE

Theller, Larry

2016-01-01

For Fall semester 2016 the ABE department moved the course ASM 540 Basic GIS from ArcGIS Desktop 10.2 to ArcGIS Pro 1.3. This software from ESRI has a completely new look and feel, (ribbon-based rather than cascading menus) and is a true 64 bit application, capable of multi-threading, and built on Python 3. After ArcGIS Desktop 10.5 is released, desktop ends and the future release will be ArcGIS Pro; so it makes sense to switch sooner rather than later. This talk will discuss some issues and...

Prediction of Floor Water Inrush: The Application of GIS-Based AHP Vulnerable Index Method to Donghuantuo Coal Mine, China

Science.gov (United States)

Wu, Qiang; Liu, Yuanzhang; Liu, Donghai; Zhou, Wanfang

2011-09-01

Floor water inrush represents a geohazard that can pose significant threat to safe operations for instance in coal mines in China and elsewhere. Its occurrence is controlled by many factors, and the processes are often not amenable to mathematical expressions. To evaluate the water inrush risk, the paper proposes the vulnerability index approach by coupling the analytic hierarchy process (AHP) and geographic information system (GIS). The detailed procedures of using this innovative approach are shown in a case study in China (Donghuantuo Coal Mine). The powerful spatial data analysis functions of GIS was used to establish the thematic layer of each of the six factors that control the water inrush, and the contribution weights of each factor was determined with the AHP method. The established AHP evaluation model was used to determine the threshold value for each risk level with a histogram of the water inrush vulnerability index. As a result, the mine area was divided into five regions with different vulnerability levels which served as general guidelines for the mine operations. The prediction results were further corroborated with the actual mining data, and the evaluation result is satisfactory.

Predicting objectively assessed physical activity from the content and regulation of exercise goals: evidence for a mediational model.

Science.gov (United States)

Sebire, Simon J; Standage, Martyn; Vansteenkiste, Maarten

2011-04-01

Grounded in self-determination theory (Deci & Ryan, 2000), the purpose of this work was to examine effects of the content and motivation of adults' exercise goals on objectively assessed moderate-to-vigorous physical activity (MVPA). After reporting the content and motivation of their exercise goals, 101 adult participants (Mage = 38.79 years; SD = 11.5) wore an ActiGraph (GT1M) accelerometer for seven days. Accelerometer data were analyzed to provide estimates of engagement in MVPA and bouts of physical activity. Goal content did not directly predict behavioral engagement; however, mediation analysis revealed that goal content predicted behavior via autonomous exercise motivation. Specifically, intrinsic versus extrinsic goals for exercise had a positive indirect effect on average daily MVPA, average daily MVPA accumulated in 10-min bouts and the number of days on which participants performed 30 or more minutes of MVPA through autonomous motivation. These results support a motivational sequence in which intrinsic versus extrinsic exercise goals influence physical activity behavior because such goals are associated with more autonomous forms of exercise motivation.

Changes in corticospinal excitability during consolidation predict acute exercise-induced off-line gains in procedural memory

DEFF Research Database (Denmark)

Ostadan, Fatemeh; Centeno, Carla; Daloze, Jean-Felix

2016-01-01

A single bout of cardiovascular exercise performed immediately after practicing a motor task improves the long-term retention of the skill through an optimization of memory consolidation. However, the specific brain mechanisms underlying the effects of acute cardiovascular exercise on procedural...... exercise correlated with the magnitude of off-line gains in skill level assessed in a retention test performed 8h after motor practice. A single bout of exercise modulates short-term neuroplasticity mechanisms subserving consolidation processes that predict off-line gains in procedural memory....... memory are poorly understood. We sought to determine if a single bout of exercise modifies corticospinal excitability (CSE) during the early stages of memory consolidation. In addition, we investigated if changes in CSE are associated with exercise-induced off-line gains in procedural memory...

Archeology and GIS

Directory of Open Access Journals (Sweden)

Janez Dular

1992-12-01

Full Text Available Concepts of spatial and landscape archaeologu have been accepted within Stepene archaeology for a decade. These concepts are based on the assumption  that man, by his diverse activities, made a tremendous impact on the landscape as a whole. Therefore in the research of archaeological settlement patterns, the whole landscape should be observed and analgzed. Diverse techniques of archaeological survey for data collection were developed and theoretical concepts for interpretation of those data were adapted from geographg, but onlg by applying GIS technology were this concepts made accessible to ali archaeologists. Basic concepts for GIS applications were defined in the research project "The Genesis of the cultural landscape" at the Department of Archaeology of the University of Ljubljana. However, the Hvar Project, as the first archaeological čase study, played the crucial role in acceptance of GIS technology. The analyses were concentrated on the possibilities of GIS applications in archaeo logical analysis. The best results were achieved in definition of archaeological site territories, subsistence strategies, communications and trade analyses. Few regional čase studies were started this gear because it is to be expected that soon the majoritg of the GIS archaeological applications will be in protection and management of cultural heritage. Simultaneously the Institute for Archaeology at the Slovene Academy of Sciences and Art has started with the computerization of the site and monuments database which will be integrated into the state GIS.

Teaching Thousands with Cloud-based GIS

Science.gov (United States)

Gould, Michael; DiBiase, David; Beale, Linda

2016-04-01

Teaching Thousands with Cloud-based GIS Educators often draw a distinction between "teaching about GIS" and "teaching with GIS." Teaching about GIS involves helping students learn what GIS is, what it does, and how it works. On the other hand, teaching with GIS involves using the technology as a means to achieve education objectives in the sciences, social sciences, professional disciplines like engineering and planning, and even the humanities. The same distinction applies to CyberGIS. Understandably, early efforts to develop CyberGIS curricula and educational resources tend to be concerned primarily with CyberGIS itself. However, if CyberGIS becomes as functional, usable and scalable as it aspires to be, teaching with CyberGIS has the potential to enable large and diverse global audiences to perform spatial analysis using hosted data, mapping and analysis services all running in the cloud. Early examples of teaching tens of thousands of students across the globe with cloud-based GIS include the massive open online courses (MOOCs) offered by Penn State University and others, as well as the series of MOOCs more recently developed and offered by Esri. In each case, ArcGIS Online was used to help students achieve educational objectives in subjects like business, geodesign, geospatial intelligence, and spatial analysis, as well as mapping. Feedback from the more than 100,000 total student participants to date, as well as from the educators and staff who supported these offerings, suggest that online education with cloud-based GIS is scalable to very large audiences. Lessons learned from the course design, development, and delivery of these early examples may be useful in informing the continuing development of CyberGIS education. While MOOCs may have passed the peak of their "hype cycle" in higher education, the phenomenon they revealed persists: namely, a global mass market of educated young adults who turn to free online education to expand their horizons. The

Remote sensing and GIS-based prediction and assessment of copper-gold resources in Thailand

International Nuclear Information System (INIS)

Yang, Shasha; Wang, Gongwen; Du, Wenhui; Huang, Luxiong

2014-01-01

Quantitative integration of geological information is a frontier and hotspot of prospecting decision research in the world. The forming process of large scale Cu-Au deposits is influenced by complicated geological events and restricted by various geological factors (stratum, structure and alteration). In this paper, using Thailand's copper-gold deposit district as a case study, geological anomaly theory is used along with the typical copper and gold metallogenic model, ETM+ remote sensing images, geological maps and mineral geology database in study area are combined with GIS technique. These techniques create ore-forming information such as geological information (strata, line-ring faults, intrusion), remote sensing information (hydroxyl alteration, iron alteration, linear-ring structure) and the Cu-Au prospect targets. These targets were identified using weights of evidence model. The research results show that the remote sensing and geological data can be combined to quickly predict and assess for exploration of mineral resources in a regional metallogenic belt

IMPLEMENTATION OF GIS-BASED MULTICRITERIA DECISION ANALYSIS WITH VB IN ArcGIS

OpenAIRE

DERYA OZTURK; FATMAGUL BATUK

2011-01-01

This article focuses on the integration of multicriteria decision analysis (MCDA) and geographical information systems (GIS) and introduces a tool, GIS–MCDA, written in visual basic in ArcGIS for GIS-based MCDA. The GIS–MCDA deals with raster-based data sets and includes standardization, weighting and decision analysis methods, and sensitivity analysis. Simple additive weighting, weighted product method, technique for order preference by similarity to ideal solution, compromise programming, a...

Using a remote sensing/GIS model to predict southwestern Willow Flycatcher breeding habitat along the Rio Grande, New Mexico

Science.gov (United States)

Hatten, James R.; Sogge, Mark K.

2007-01-01

middle Rio Grande). The SWFL Recovery Plan (USFWS 2002) recognizes the importance of developing new approaches to habitat identification, and recommends the development of drainage-scale, quantitative habitat models. In particular, the plan suggests using models based on remote sensing and Geographic Information System (GIS) technology that can capture the relatively dynamic habitat changes that occur in southwestern riparian systems. In 1999, Arizona Game and Fish Department (AGFD) developed a GIS-based model (Hatten and Paradzick 2003) to identify SWFL breeding habitat from Landsat Thematic Mapper imagery and 30-m resolution digital elevation models (DEMs). The model was developed with presence/absence survey data acquired along the San Pedro and Gila rivers, and from the Salt River and Tonto Creek inlets to Roosevelt Lake in southern Arizona (collectively called the project area). The GIS-based model used a logistic regression equation to divide riparian vegetation into 5 probability classes based upon characteristics of riparian vegetation and floodplain size. This model was tested by predicting SWFL breeding habitat at Alamo Lake, Arizona, located 200 km from the project area (Hatten and Paradzick 2003). The GIS-based model performed as expected by identifying riparian areas with the highest SWFL nest densities, located in the higher probability classes. In 2002, AGFD applied the GIS-based model throughout Arizona, for riparian areas below 1,524 m (5,000 ft) elevation and within 1.6 km of perennial or intermittent waters (Dockens et al. 2004). Overall model accuracy (using probability classes 1-5, with class 5 having the greatest probability of nesting activity) for predicting the location of 2001 nest sites was 96.5 percent; accuracy decreased when fewer probability classes were defined as suitable. Map accuracy, determined from errors of commission, increased in higher probability classes in a fashion similar to errors of omission. Map accuracy, li

Blood eosinophil counts for the prediction of the severity of exercise-induced bronchospasm in asthma.

Science.gov (United States)

Koh, Y I; Choi, S

2002-02-01

It has been suggested that airway eosinophilic inflammation is associated with the severity of exercise-induced bronchospasm (EIB). Blood eosinophils are known to be an indirect marker of airway inflammation in asthma. The aim of this study is to investigate that a simple and easy blood test for blood eosinphil counts may predict the severity of EIB in asthma. Seventy-seven men with perennial asthma (age range 18-23 years) were included. Lung function test, skin prick test, and blood tests for eosinophils counts and total IgE levels were performed. Methacholine bronchial provocation test and, 24 h later, free running test were carried out. EIB was defined as a 15% reduction or more in post-exercise FEV1 compared with pre-exercise FEV1 value. Atopy score was defined as a sum of mean wheal diameters to allergens. EIB was observed in 60 (78%) of 77 subjects. Asthmatics with EIB showed significantly increased percentages of eosinophils (P 700 microl(-1) (36.9 +/- 12.7%) had significantly greater maximal % fall in FEV1 after exercise than asthmatics with eosinophils of 350 microl(-1) yielded the specificity of 88% and positive predictive value of 93% for the presence of EIB. When a multiple regression analysis of maximal % fall in FEV1 according to log eosinophil counts, log PC20, log IgE and atopy score was performed, only blood eosinophil counts were significant factor contributing to the maximal % fall in FEV1 after exercise. These findings not only suggest that a simple blood test for eosinophils may be useful in the prediction of the severity of EIB, but also reinforce the view that airway eosinophilic inflammation may play a major role in EIB in asthma.

Programming ArcGIS with Python cookbook

CERN Document Server

Pimpler, Eric

2015-01-01

Programming ArcGIS with Python Cookbook, Second Edition, is written for GIS professionals who wish to revolutionize their ArcGIS workflow with Python. Whether you are new to ArcGIS or a seasoned professional, you almost certainly spend time each day performing various geoprocessing tasks. This book will teach you how to use the Python programming language to automate these geoprocessing tasks and make you a more efficient and effective GIS professional.

Validating GIS tool to assess eelgrass potential recovery in the Limfjorden (Denmark)

DEFF Research Database (Denmark)

Canal-Vergés, Paula; Petersen, Jens Kjerulf; Rasmussen, Erik K.

2016-01-01

Eelgrass is a key indicator for the water quality in Europe (WFD, European Union, 2000). However, although water quality has been improved in most Danish water bodies, the eelgrass population does not seem to be recovering. In this study, we validate and further develop a GIS tool designed...... by Flindt et al. (2016), to evaluate the potential of eelgrass reestablishment in Danish waters. The GIS tool was tested in two large broads of the Limfjorden, Løgstør and Lovns broad (Denmark), where two scenarios are run. The first scenario was set up including modelled data, whereas the second scenario...... in the period 2009-2013, in the two investigated broads. A combination of modelled and monitored data was found to be optimal to achieve accurate predictions for eelgrass development in the Limfjorden using this GIS tool. In order to implement the current model or to use this GIS tool in other locations...

Application of GIS in hydrogeology and engineering geology

Directory of Open Access Journals (Sweden)

Lucia Mihalová

2007-06-01

Full Text Available Hydrogeology as a specific science discipline has a multi spectral interest focused to officiating sources in drink water and utilization water and also in area aimed for pure mineral water sources. Although engineering geology works exercise with piece of knowledge, geosciences are focused to territorial planning, investment construction and protection environment. Application of GIS in appointed problems purvey possibility quality, quick and high special analysis appointed problems and take advantage all accessible quality and quantity related information of water focused to hydrogeology, as to occurrence varied basement soil, appropriate for building activity, possibly appointed for protection. Solution of this probleme is on first name terms definite interest area, as to adjudication sources focused economic significance state.

Leveraging of remote sensing and GIS on mapping in urban and regional planning applications

International Nuclear Information System (INIS)

Noor, Norzailawati Mohd; Abdullah, Alias; Rosni, Nur Aulia

2014-01-01

While remote sensing applications represent a major though still underused source of urban data, the proposed combination between remote sensing and Geo-information System (GIS) in urban and regional planning is not fully explored. In order to measure changes in land use, the need of platform in monitoring, recording, and predicting the changes is necessary for planners and developers. In advance technology of mapping process, remote sensing and GIS as tools for urban planning are already recognised. But, due to lack of implementation and awareness about the benefits of these tools, these terms look unusual. Therefore, this paper reviews the history of remote sensing and GIS in urban applications, technical skills and the challenges, and future development of remote sensing and GIS especially for urban development particularly in developing countries

Risk analysis for dengue suitability in Africa using the ArcGIS predictive analysis tools (PA tools).

Science.gov (United States)

Attaway, David F; Jacobsen, Kathryn H; Falconer, Allan; Manca, Germana; Waters, Nigel M

2016-06-01

Risk maps identifying suitable locations for infection transmission are important for public health planning. Data on dengue infection rates are not readily available in most places where the disease is known to occur. A newly available add-in to Esri's ArcGIS software package, the ArcGIS Predictive Analysis Toolset (PA Tools), was used to identify locations within Africa with environmental characteristics likely to be suitable for transmission of dengue virus. A more accurate, robust, and localized (1 km × 1 km) dengue risk map for Africa was created based on bioclimatic layers, elevation data, high-resolution population data, and other environmental factors that a search of the peer-reviewed literature showed to be associated with dengue risk. Variables related to temperature, precipitation, elevation, and population density were identified as good predictors of dengue suitability. Areas of high dengue suitability occur primarily within West Africa and parts of Central Africa and East Africa, but even in these regions the suitability is not homogenous. This risk mapping technique for an infection transmitted by Aedes mosquitoes draws on entomological, epidemiological, and geographic data. The method could be applied to other infectious diseases (such as Zika) in order to provide new insights for public health officials and others making decisions about where to increase disease surveillance activities and implement infection prevention and control efforts. The ability to map threats to human and animal health is important for tracking vectorborne and other emerging infectious diseases and modeling the likely impacts of climate change. Copyright © 2016 Elsevier B.V. All rights reserved.

Quantum GIS: il desktop GIS più potente, amichevole e libero

Directory of Open Access Journals (Sweden)

Otto Dassau

2009-03-01

Full Text Available QuantumGIS is a free and open source GISIt has an intuitive graphical interface, suitable also for first time GIS users, and thanks to the integration with other free software (e.g. GRASS, PostGIS, GDAL can read dozens of different formats, both raster and vector, link to OGC standard web services (WMS, WFS, SF and run complex analysis and modeling. Many plugins make it easy to extend its functionality. It is used throughout the world, by thousands of users, and its development is fast, with new functions continuously added.

Using expert informed GIS to locate important marine social-ecological hotspots.

Science.gov (United States)

Mahboubi, Pouyan; Parkes, Margot; Stephen, Craig; Chan, Hing Man

2015-09-01

The marine environment provides significant benefits to many local communities. Pressure to develop coastal waterways worldwide creates an urgent need for tools to locate marine spaces that have important social or ecological values, and to quantify their relative importance. The primary objective of this study was to develop, apply and critically assess a tool to identify important social-ecological hotspots in the marine environment. The study was conducted in a typical coastal community in northern British Columbia, Canada. This expert-informed GIS, or xGIS, tool used a survey instrument to draw on the knowledge of local experts from a range of backgrounds with respect to a series of 12 social-ecological value attributes, such as biodiversity, cultural and economic values. We identified approximately 1500 polygons on marine maps and assigned relative values to them using a token distribution exercise. A series of spatial statistical analyses were performed to locate and quantify the relative social-ecological importance of marine spaces and the results were ultimately summarized in a single hotspot map of the entire study area. This study demonstrates the utility of xGIS as a useful tool for stakeholders and environmental managers engaged in the planning and management of marine resources at the local and regional levels. Copyright © 2015 Elsevier Ltd. All rights reserved.

Cloud GIS Based Watershed Management

Science.gov (United States)

Bediroğlu, G.; Colak, H. E.

2017-11-01

In this study, we generated a Cloud GIS based watershed management system with using Cloud Computing architecture. Cloud GIS is used as SAAS (Software as a Service) and DAAS (Data as a Service). We applied GIS analysis on cloud in terms of testing SAAS and deployed GIS datasets on cloud in terms of DAAS. We used Hybrid cloud computing model in manner of using ready web based mapping services hosted on cloud (World Topology, Satellite Imageries). We uploaded to system after creating geodatabases including Hydrology (Rivers, Lakes), Soil Maps, Climate Maps, Rain Maps, Geology and Land Use. Watershed of study area has been determined on cloud using ready-hosted topology maps. After uploading all the datasets to systems, we have applied various GIS analysis and queries. Results shown that Cloud GIS technology brings velocity and efficiency for watershed management studies. Besides this, system can be easily implemented for similar land analysis and management studies.

Analysis of open source GIS software

OpenAIRE

Božnis, Andrius

2006-01-01

GIS is one of the most perspective information technology sciences sphere. GIS conjuncts the digital image analysis and data base systems. This makes GIS wide applicable and very high skills demanding system. There is a lot of commercial GIS software which is well advertised and which functionality is pretty well known, while open source software is forgotten. In this diploma work is made analysis of available open source GIS software on the Internet, in the scope of different projects interr...

Anvendeligheden af GIS

DEFF Research Database (Denmark)

Winstrup, Mie; Levin, Gregor

2011-01-01

Fragmentering af naturen er en trussel mod biodiversiteten, og etablering af økologiske forbindelser/korridorer mellem naturområderne er én måde hvorved nedgangen i biodiversitet kan stoppes. Med Næstved Kommune som case-område har jeg undersøgt, hvordan analyser i GIS kan bruges til at udvælge...... omdannet til reelle korridorer, hvor bredden afhænger af arealdækket som forbindelserne krydser. I implementerings øjemed er det anvendeligt at vide om nogle forbindelser er særlig vigtige for at skabe mere sammenhængende natur. GIS er anvendeligt hertil, idet GIS kan bruges til at bestemme den enkelte...

Habitual exercise instigation (vs. execution) predicts healthy adults' exercise frequency

OpenAIRE

Phillips, L. Alison; Gardner, Benjamin

2016-01-01

Objective: Habit is thought to be conducive to health behavior maintenance, because habits prompt behavior with minimal cognitive resources. The precise role of habit in determining complex behavioral sequences, such as exercise, has been underresearched. It is possible that the habit process may initiate a behavioral sequence (instigation habit) or that, after instigation, movement through the sequence is automated (execution habit). We hypothesized that exercise instigation habit can be emp...

Tight-coupling of groundwater flow and transport modelling engines with spatial databases and GIS technology: a new approach integrating Feflow and ArcGIS

Directory of Open Access Journals (Sweden)

Ezio Crestaz

2012-09-01

Full Text Available Implementation of groundwater flow and transport numerical models is generally a challenge, time-consuming and financially-demanding task, in charge to specialized modelers and consulting firms. At a later stage, within clearly stated limits of applicability, these models are often expected to be made available to less knowledgeable personnel to support/design and running of predictive simulations within more familiar environments than specialized simulation systems. GIS systems coupled with spatial databases appear to be ideal candidates to address problem above, due to their much wider diffusion and expertise availability. Current paper discusses the issue from a tight-coupling architecture perspective, aimed at integration of spatial databases, GIS and numerical simulation engines, addressing both observed and computed data management, retrieval and spatio-temporal analysis issues. Observed data can be migrated to the central database repository and then used to set up transient simulation conditions in the background, at run time, while limiting additional complexity and integrity failure risks as data duplication during data transfer through proprietary file formats. Similarly, simulation scenarios can be set up in a familiar GIS system and stored to spatial database for later reference. As numerical engine is tightly coupled with the GIS, simulations can be run within the environment and results themselves saved to the database. Further tasks, as spatio-temporal analysis (i.e. for postcalibration auditing scopes, cartography production and geovisualization, can then be addressed using traditional GIS tools. Benefits of such an approach include more effective data management practices, integration and availability of modeling facilities in a familiar environment, streamlining spatial analysis processes and geovisualization requirements for the non-modelers community. Major drawbacks include limited 3D and time-dependent support in

Trends in GIS: an environmental perspective

International Nuclear Information System (INIS)

Ringrose, S.

1992-01-01

Trends in the Geographic Information System (GIS) have long been difficult to assess comprehensively because of the different perspective of the large number of players in the GIS game. This work represents an overview intended as background to the Workshop Proceedings. As the term GIS means different things to different people the intent is to start with definitions followed by a discussion of data models and inherent functionality of GIS systems. Recent trends are also considered in the context of environmental analyses. Problems arise when considering environmental monitoring due to the paucity of explicit functions dealing with change detection through time. Here parallels are drawn with recent studies which have used the integration of GIS and remotely sensed data. Reasons behind the functional limitations of GIS because apparent as the historical evolution of present day GIS systems is considered, although to some extent these are mitigated by future trends. Finally consideration is given to the role of GIS in assisting with mine site development and especially mine site rehabilitation. 23 refs

Relationships among adolescents' weight perceptions, exercise goals, exercise motivation, quality of life and leisure-time exercise behaviour: a self-determination theory approach.

Science.gov (United States)

Gillison, F B; Standage, M; Skevington, S M

2006-12-01

Exercise has an important role to play in the prevention of child and adolescent obesity. Recent school-based interventions have struggled to achieve meaningful and lasting changes to exercise levels. Theorists have suggested that this may, in part, be due to the failure to incorporate psychosocial mediators as they relate to behaviour change. Using a sample of 580 British schoolchildren, a model grounded in self-determination theory was explored to examine the effects of exercise goals on exercise motivation, leisure-time exercise behaviour and quality of life (QoL). Results of structural equation modelling revealed that adolescents perceiving themselves to be overweight and pressurized to lose weight, endorsed extrinsic weight-related goals for exercise. Extrinsic goals negatively predicted, whereas intrinsic goals positively predicted, self-determined motivation, which in turn positively predicted QoL and exercise behaviour. Furthermore, self-determined motivation partially mediated the effects of exercise goals on reported exercise behaviour and QoL. Multi-sample invariance testing revealed the proposed model to be largely invariant across gender. Results suggest that holding extrinsic exercise goals could compromise exercise participation levels and QoL. A role for teachers and parents is proposed with the aim of orienting young people towards intrinsic goals in an attempt to enhance future exercise behaviour and QoL.

Predicting exercise adherence in cancer patients and survivors: a systematic review and meta-analysis of motivational and behavioural factors.

Science.gov (United States)

Husebø, Anne M Lunde; Dyrstad, Sindre M; Søreide, Jon A; Bru, Edvin

2013-01-01

To examine research findings regarding predictors of adherence to exercise programmes in cancer populations. Cancer patients are advised to participate in daily exercise. Whether they comply with the recommendations for physical activity or not remains unclear. A systematic review and meta-analysis. Empirical articles published in English between 1995 and 2011 were searched in electronic databases and in reference lists, using the search terms 'adherence', 'predictors', 'exercise', and 'cancer' in varying combinations. Twelve of 541 screened abstracts met the inclusion criteria. The included studies' eligibility considering predictors of exercise adherence were reviewed. A quality assessment process evaluating the studies methodological quality was performed. Eight of the reviewed studies were considered eligible for a meta-analysis involving Pearson's r correlations. Exercise stage of change, derived from the transtheoretical model of behaviour change (TTM) was found to be statistically significant and a strong predictor of exercise adherence. In addition, the theory of planned behaviour (TPB) construct; intention to engage in a health-changing behaviour and perceived behavioural control, demonstrated significant correlations with exercise adherence. The review identified that both the TPB and the TTM frameworks include aspects that predicts exercise adherence in cancer patients, and thus contributes to the understanding of motivational factors of change in exercise behaviour in cancer populations. However, the strengths of predictions were relatively weak. More research is needed to identify predictors of greater importance. Surveying the patients' readiness and intention to initiate and maintain exercise levels, as well as tailoring exercise programmes to individual needs may be important for nurses in order to help patients meet exercise guidelines and stay active. © 2012 Blackwell Publishing Ltd.

The architecture of a virtual grid GIS server

Science.gov (United States)

Wu, Pengfei; Fang, Yu; Chen, Bin; Wu, Xi; Tian, Xiaoting

2008-10-01

The grid computing technology provides the service oriented architecture for distributed applications. The virtual Grid GIS server is the distributed and interoperable enterprise application GIS architecture running in the grid environment, which integrates heterogeneous GIS platforms. All sorts of legacy GIS platforms join the grid as members of GIS virtual organization. Based on Microkernel we design the ESB and portal GIS service layer, which compose Microkernel GIS. Through web portals, portal GIS services and mediation of service bus, following the principle of SoC, we separate business logic from implementing logic. Microkernel GIS greatly reduces the coupling degree between applications and GIS platforms. The enterprise applications are independent of certain GIS platforms, and making the application developers to pay attention to the business logic. Via configuration and orchestration of a set of fine-grained services, the system creates GIS Business, which acts as a whole WebGIS request when activated. In this way, the system satisfies a business workflow directly and simply, with little or no new code.

CoC GIS Tools (GIS Tool)

Data.gov (United States)

Department of Housing and Urban Development — This tool provides a no-cost downloadable software tool that allows users to interact with professional quality GIS maps. Users access pre-compiled projects through...

Qigong exercise with concentration predicts increased health.

Science.gov (United States)

Jouper, John; Hassmén, Peter; Johansson, Mattias

2006-01-01

Regular physical activity has many positive health effects. Despite this, approximately 50% of all adults are not exercising enough to enjoy better health and may, therefore, need an alternative to vigorous physical exercise. Qigong offers a gentle way to exercise the body. A questionnaire sample of 253 participants was collected and correlations with the variable health-now were analyzed. Results showed that health-now was positively correlated with number of completed qigong courses (p exercise thereby seems to offer a viable alternative to other more vigorous physical activities when wellness is the primary goal. When interpreted using self-determination theory, qigong seems to satisfy needs related to autonomy, competence and relatedness, thereby, primarily attracting individuals who are intrinsically motivated.

The Coastal Area Development Using GIS (Review of GIS Application Models

Directory of Open Access Journals (Sweden)

Prastowo Sutanto

2004-01-01

Full Text Available GIS, Geographical Information System, is a means that an be used to plan and to develop the coastal area because in carrying out the analysis this system combines the space data and their  attributes. The activities done among others the prototype development of algae cultivation and tourism ativities, the development of fish pond location, the reclamation of the Jakarta Bay, and the concept of development the floating “Keramba” for pearl oysters and white sea fish similar to sole. GIS analysis with heaviness and overlay mapping yields the appropriate map to plan and to develop the coastal area. The result of GIS analysis can be used to plan and to develop the coastal area.

Black Sea GIS developed in MHI

Science.gov (United States)

Zhuk, E.; Khaliulin, A.; Zodiatis, G.; Nikolaidis, A.; Isaeva, E.

2016-08-01

The work aims at creating the Black Sea geoinformation system (GIS) and complementing it with a model bank. The software for data access and visualization was developed using client server architecture. A map service based on MapServer and MySQL data management system were chosen for the Black Sea GIS. Php-modules and python-scripts are used to provide data access, processing, and exchange between the client application and the server. According to the basic data types, the module structure of GIS was developed. Each type of data is matched to a module which allows selection and visualization of the data. At present, a GIS complement with a model bank (the models build in to the GIS) and users' models (programs launched on users' PCs but receiving and displaying data via GIS) is developed.

The portable GIS applied to geotechnical inspections; O GIS portatil para inspecoes geotecnicas

Energy Technology Data Exchange (ETDEWEB)

Rabaco, Lis M.; Lins, Alexandre F. [PETROBRAS S.A., Rio de Janeiro, RJ (Brazil); Costa, Rogerio M.; Freitas, Carlos F. [CONCREMAT, Rio de Janeiro, RJ (Brazil)

2005-07-01

The purpose of this paper is to implement an interface using tool to pack the GIS application to carry out a field inspection. The solution was implemented on pocket equipment using a simplified map and database integrated with the GIS Corporative. The main objective is to avoid paper work in field inspections. The emphases are on geotechnical inspections in order to assist the recuperation of information about points with geotechnical risk. There are interfaces with external device as GPS for insertion of points of risk. A set of tools are developed for bidirectional synchronization among the Corporative GIS and the pocket devices. The project focused geotechnical inspections on field, in order to synchronize automatically the information collected with the pocket GIS application with a Web server, packing all information from field operation to managers. (author)

Water Hammer Modelling and Simulation by GIS

Directory of Open Access Journals (Sweden)

K. Hariri Asli

2012-01-01

Full Text Available This work defined an Eulerian-based computational model compared with regression of the relationship between the dependent and independent variables for water hammer surge wave in transmission pipeline. The work also mentioned control of Unaccounted-for-Water (UFW based on the Geography Information System (GIS for water transmission pipeline. The experimental results of laboratory model and the field test results showed the validity of prediction achieved by computational model.

Globally-Applicable Predictive Wildfire Model   a Temporal-Spatial GIS Based Risk Analysis Using Data Driven Fuzzy Logic Functions

Science.gov (United States)

van den Dool, G.

2017-11-01

This study (van den Dool, 2017) is a proof of concept for a global predictive wildfire model, in which the temporal-spatial characteristics of wildfires are placed in a Geographical Information System (GIS), and the risk analysis is based on data-driven fuzzy logic functions. The data sources used in this model are available as global datasets, but subdivided into three pilot areas: North America (California/Nevada), Europe (Spain), and Asia (Mongolia), and are downscaled to the highest resolution (3-arc second). The GIS is constructed around three themes: topography, fuel availability and climate. From the topographical data, six derived sub-themes are created and converted to a fuzzy membership based on the catchment area statistics. The fuel availability score is a composite of four data layers: land cover, wood loads, biomass, biovolumes. As input for the climatological sub-model reanalysed daily averaged, weather-related data is used, which is accumulated to a global weekly time-window (to account for the uncertainty within the climatological model) and forms the temporal component of the model. The final product is a wildfire risk score (from 0 to 1) by week, representing the average wildfire risk in an area. To compute the potential wildfire risk the sub-models are combined usinga Multi-Criteria Approach, and the model results are validated against the area under the Receiver Operating Characteristic curve.

A DISTRIBUTED HYPERMAP MODEL FOR INTERNET GIS

Institute of Scientific and Technical Information of China (English)

无

2000-01-01

The rapid development of Internet technology makes it possible to integrate GIS with the Internet,forming Internet GIS.Internet GIS is based on a distributed client/server architecture and TCP/IP & IIOP.When constructing and designing Internet GIS,we face the problem of how to express information units of Internet GIS.In order to solve this problem,this paper presents a distributed hypermap model for Internet GIS.This model provides a solution to organize and manage Internet GIS information units.It also illustrates relations between two information units and in an internal information unit both on clients and servers.On the basis of this model,the paper contributes to the expressions of hypermap relations and hypermap operations.The usage of this model is shown in the implementation of a prototype system.

Motivational "spill-over" during weight control: increased self-determination and exercise intrinsic motivation predict eating self-regulation.

Science.gov (United States)

Mata, Jutta; Silva, Marlene N; Vieira, Paulo N; Carraça, Eliana V; Andrade, Ana M; Coutinho, Sílvia R; Sardinha, Luis B; Teixeira, Pedro J

2009-11-01

Successful weight management relies on at least two health behaviors, eating and exercise. However, little is known about their interaction on a motivational and behavioral level. Based on the Hierarchical Model of Motivation the authors examined whether exercise-specific motivation can transfer to eating regulation during a lifestyle weight control program. The authors further investigated whether general, treatment-related, and exercise motivation underlie the relation between increased exercise and improved eating regulation. Overweight/obese women participated in a 1-year randomized controlled trial (N = 239). The intervention focused on promoting physical activity and internal motivation for exercise and weight loss, following Self-Determination Theory. The control group received general health education. General and exercise specific self-determination, eating self-regulation variables, and physical activity behavior. General self-determination and more autonomous exercise motivation predicted eating self-regulation over 12 months. Additionally, general and exercise self-determination fully mediated the relation between physical activity and eating self-regulation. Increased general self-determination and exercise motivation seem to facilitate improvements in eating self-regulation during weight control in women. These motivational mechanisms also underlie the relationship between improvements in exercise behavior and eating regulation. PsycINFO Database Record (c) 2009 APA, all rights reserved.

Application of GIS to predict malaria hotspots based on Anopheles arabiensis habitat suitability in Southern Africa

Science.gov (United States)

Gwitira, Isaiah; Murwira, Amon; Zengeya, Fadzai M.; Shekede, Munyaradzi Davis

2018-02-01

Malaria remains a major public health problem and a principal cause of morbidity and mortality in most developing countries. Although malaria still presents health problems, significant successes have been recorded in reducing deaths resulting from the disease. As malaria transmission continues to decline, control interventions will increasingly depend on the ability to define high-risk areas known as malaria hotspots. Therefore, there is urgent need to use geospatial tools such as geographic information system to detect spatial patterns of malaria and delineate disease hot spots for better planning and management. Thus, accurate mapping and prediction of seasonality of malaria hotspots is an important step towards developing strategies for effective malaria control. In this study, we modelled seasonal malaria hotspots as a function of habitat suitability of Anopheles arabiensis (A. Arabiensis) as a first step towards predicting likely seasonal malaria hotspots that could provide guidance in targeted malaria control. We used Geographical information system (GIS) and spatial statistic methods to identify seasonal hotspots of malaria cases at the country level. In order to achieve this, we first determined the spatial distribution of seasonal malaria hotspots using the Getis Ord Gi* statistic based on confirmed positive malaria cases recorded at health facilities in Zimbabwe over four years (1996-1999). We then used MAXENT technique to model habitat suitability of A. arabiensis from presence data collected from 1990 to 2002 based on bioclimatic variables and altitude. Finally, we used autologistic regression to test the extent to which malaria hotspots can be predicted using A. arabiensis habitat suitability. Our results show that A. arabiensis habitat suitability consistently and significantly (p < 0.05) predicts malaria hotspots from 1996 to 1999. Overall, our results show that malaria hotspots can be predicted using A. arabiensis habitat suitability, suggesting

Soil Erosion Prediction Using Morgan-Morgan-Finney Model in a GIS Environment in Northern Ethiopia Catchment

Directory of Open Access Journals (Sweden)

Gebreyesus Brhane Tesfahunegn

2014-01-01

Full Text Available Even though scientific information on spatial distribution of hydrophysical parameters is critical for understanding erosion processes and designing suitable technologies, little is known in Geographical Information System (GIS application in developing spatial hydrophysical data inputs and their application in Morgan-Morgan-Finney (MMF erosion model. This study was aimed to derive spatial distribution of hydrophysical parameters and apply them in the Morgan-Morgan-Finney (MMF model for estimating soil erosion in the Mai-Negus catchment, northern Ethiopia. Major data input for the model include climate, topography, land use, and soil data. This study demonstrated using MMF model that the rate of soil detachment varied from 170 t ha−1 y−1, whereas the soil transport capacity of overland flow (TC ranged from 5 t ha−1 y−1 to >42 t ha−1 y−1. The average soil loss estimated by TC using MMF model at catchment level was 26 t ha−1 y−1. In most parts of the catchment (>80%, the model predicted soil loss rates higher than the maximum tolerable rate (18 t ha−1 y−1 estimated for Ethiopia. Hence, introducing appropriate interventions based on the erosion severity predicted by MMF model in the catchment is crucial for sustainable natural resources management.

Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults.

Science.gov (United States)

Baniqued, Pauline L; Gallen, Courtney L; Voss, Michelle W; Burzynska, Agnieszka Z; Wong, Chelsea N; Cooke, Gillian E; Duffy, Kristin; Fanning, Jason; Ehlers, Diane K; Salerno, Elizabeth A; Aguiñaga, Susan; McAuley, Edward; Kramer, Arthur F; D'Esposito, Mark

2017-01-01

Recent work suggests that the brain can be conceptualized as a network comprised of groups of sub-networks or modules. The extent of segregation between modules can be quantified with a modularity metric, where networks with high modularity have dense connections within modules and sparser connections between modules. Previous work has shown that higher modularity predicts greater improvements after cognitive training in patients with traumatic brain injury and in healthy older and young adults. It is not known, however, whether modularity can also predict cognitive gains after a physical exercise intervention. Here, we quantified modularity in older adults ( N = 128, mean age = 64.74) who underwent one of the following interventions for 6 months (NCT01472744 on ClinicalTrials.gov): (1) aerobic exercise in the form of brisk walking (Walk), (2) aerobic exercise in the form of brisk walking plus nutritional supplement (Walk+), (3) stretching, strengthening and stability (SSS), or (4) dance instruction. After the intervention, the Walk, Walk+ and SSS groups showed gains in cardiorespiratory fitness (CRF), with larger effects in both walking groups compared to the SSS and Dance groups. The Walk, Walk+ and SSS groups also improved in executive function (EF) as measured by reasoning, working memory, and task-switching tests. In the Walk, Walk+, and SSS groups that improved in EF, higher baseline modularity was positively related to EF gains, even after controlling for age, in-scanner motion and baseline EF. No relationship between modularity and EF gains was observed in the Dance group, which did not show training-related gains in CRF or EF control. These results are consistent with previous studies demonstrating that individuals with a more modular brain network organization are more responsive to cognitive training. These findings suggest that the predictive power of modularity may be generalizable across interventions aimed to enhance aspects of cognition and that

Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults

Directory of Open Access Journals (Sweden)

Pauline L. Baniqued

2018-01-01

Full Text Available Recent work suggests that the brain can be conceptualized as a network comprised of groups of sub-networks or modules. The extent of segregation between modules can be quantified with a modularity metric, where networks with high modularity have dense connections within modules and sparser connections between modules. Previous work has shown that higher modularity predicts greater improvements after cognitive training in patients with traumatic brain injury and in healthy older and young adults. It is not known, however, whether modularity can also predict cognitive gains after a physical exercise intervention. Here, we quantified modularity in older adults (N = 128, mean age = 64.74 who underwent one of the following interventions for 6 months (NCT01472744 on ClinicalTrials.gov: (1 aerobic exercise in the form of brisk walking (Walk, (2 aerobic exercise in the form of brisk walking plus nutritional supplement (Walk+, (3 stretching, strengthening and stability (SSS, or (4 dance instruction. After the intervention, the Walk, Walk+ and SSS groups showed gains in cardiorespiratory fitness (CRF, with larger effects in both walking groups compared to the SSS and Dance groups. The Walk, Walk+ and SSS groups also improved in executive function (EF as measured by reasoning, working memory, and task-switching tests. In the Walk, Walk+, and SSS groups that improved in EF, higher baseline modularity was positively related to EF gains, even after controlling for age, in-scanner motion and baseline EF. No relationship between modularity and EF gains was observed in the Dance group, which did not show training-related gains in CRF or EF control. These results are consistent with previous studies demonstrating that individuals with a more modular brain network organization are more responsive to cognitive training. These findings suggest that the predictive power of modularity may be generalizable across interventions aimed to enhance aspects of cognition and

Geostatistical modelling of carbon monoxide levels in Khartoum State (Sudan) - GIS pilot based study

Energy Technology Data Exchange (ETDEWEB)

Alhuseen, A [Comenius University in Bratislava, Faculty of Natural Sciences, Dept. of Landscape Ecology, 84215 Bratislava (Slovakia); Madani, M [Ministry of Environment and Physical Development, 1111 Khartoum (Sudan)

2012-04-25

The objective of this study is to develop a digital GIS model; that can evaluate, predict and visualize carbon monoxide (CO) levels in Khartoum state. To achieve this aim, sample data had been collected, processed and managed to generate a dynamic GIS model of carbon monoxide levels in the study area. Parametric data collected from the field and analysis carried throughout this study show that (CO) emissions were lower than the allowable ambient air quality standards released by National Environment Protection Council (NEPC-USA) for 1998. However, this pilot study has found emissions of (CO) in Omdurman city were the highest. This pilot study shows that GIS and geostatistical modeling can be used as a powerful tool to produce maps of exposure. (authors)

Comparison of ArcGIS and SAS Geostatistical Analyst to Estimate Population-Weighted Monthly Temperature for US Counties.

Science.gov (United States)

Xiaopeng, Q I; Liang, Wei; Barker, Laurie; Lekiachvili, Akaki; Xingyou, Zhang

Temperature changes are known to have significant impacts on human health. Accurate estimates of population-weighted average monthly air temperature for US counties are needed to evaluate temperature's association with health behaviours and disease, which are sampled or reported at the county level and measured on a monthly-or 30-day-basis. Most reported temperature estimates were calculated using ArcGIS, relatively few used SAS. We compared the performance of geostatistical models to estimate population-weighted average temperature in each month for counties in 48 states using ArcGIS v9.3 and SAS v 9.2 on a CITGO platform. Monthly average temperature for Jan-Dec 2007 and elevation from 5435 weather stations were used to estimate the temperature at county population centroids. County estimates were produced with elevation as a covariate. Performance of models was assessed by comparing adjusted R 2 , mean squared error, root mean squared error, and processing time. Prediction accuracy for split validation was above 90% for 11 months in ArcGIS and all 12 months in SAS. Cokriging in SAS achieved higher prediction accuracy and lower estimation bias as compared to cokriging in ArcGIS. County-level estimates produced by both packages were positively correlated (adjusted R 2 range=0.95 to 0.99); accuracy and precision improved with elevation as a covariate. Both methods from ArcGIS and SAS are reliable for U.S. county-level temperature estimates; However, ArcGIS's merits in spatial data pre-processing and processing time may be important considerations for software selection, especially for multi-year or multi-state projects.

Cloud Computing and Its Applications in GIS

Science.gov (United States)

Kang, Cao

2011-12-01

Cloud computing is a novel computing paradigm that offers highly scalable and highly available distributed computing services. The objectives of this research are to: 1. analyze and understand cloud computing and its potential for GIS; 2. discover the feasibilities of migrating truly spatial GIS algorithms to distributed computing infrastructures; 3. explore a solution to host and serve large volumes of raster GIS data efficiently and speedily. These objectives thus form the basis for three professional articles. The first article is entitled "Cloud Computing and Its Applications in GIS". This paper introduces the concept, structure, and features of cloud computing. Features of cloud computing such as scalability, parallelization, and high availability make it a very capable computing paradigm. Unlike High Performance Computing (HPC), cloud computing uses inexpensive commodity computers. The uniform administration systems in cloud computing make it easier to use than GRID computing. Potential advantages of cloud-based GIS systems such as lower barrier to entry are consequently presented. Three cloud-based GIS system architectures are proposed: public cloud- based GIS systems, private cloud-based GIS systems and hybrid cloud-based GIS systems. Public cloud-based GIS systems provide the lowest entry barriers for users among these three architectures, but their advantages are offset by data security and privacy related issues. Private cloud-based GIS systems provide the best data protection, though they have the highest entry barriers. Hybrid cloud-based GIS systems provide a compromise between these extremes. The second article is entitled "A cloud computing algorithm for the calculation of Euclidian distance for raster GIS". Euclidean distance is a truly spatial GIS algorithm. Classical algorithms such as the pushbroom and growth ring techniques require computational propagation through the entire raster image, which makes it incompatible with the distributed nature

Spatiotemporal floodplain mapping and prediction using HEC-RAS - GIS tools: Case of the Mejerda river, Tunisia

Science.gov (United States)

Ben Khalfallah, C.; Saidi, S.

2018-06-01

The floods have become a scourge in recent years (Floods of, 2003, 2006, 2009, 2011, and 2012), increasingly frequent and devastating. Tunisia does not escape flooding problems, the flood management requires basically a better knowledge of the phenomenon (flood), and the use of predictive methods. In order to limit this risk, we became interested in hydrodynamics modeling of Medjerda basin. To reach this aim, rainfall distribution is studied and mapped using GIS tools. In addition, flood and return period estimation of rainfall are calculated using Hyfran. Also, Simulations of recent floods are calculated and mapped using HEC-RAS and HEC-GeoRAS for the most recent flood occurred in February-March 2015 in Medjerda basin. The analysis of the results shows a good correlation between simulated parameters and those measured. There is a flood of the river exceeding 240 m3/s (DGRE, 2015) and more flowing sections are observed in the future simulations; for return periods of 10yr, 20yr and 50yr.

Prediction of groundwater flowing well zone at An-Najif Province, central Iraq using evidential belief functions model and GIS.

Science.gov (United States)

Al-Abadi, Alaa M; Pradhan, Biswajeet; Shahid, Shamsuddin

2015-10-01

The objective of this study is to delineate groundwater flowing well zone potential in An-Najif Province of Iraq in a data-driven evidential belief function model developed in a geographical information system (GIS) environment. An inventory map of 68 groundwater flowing wells was prepared through field survey. Seventy percent or 43 wells were used for training the evidential belief functions model and the reset 30 % or 19 wells were used for validation of the model. Seven groundwater conditioning factors mostly derived from RS were used, namely elevation, slope angle, curvature, topographic wetness index, stream power index, lithological units, and distance to the Euphrates River in this study. The relationship between training flowing well locations and the conditioning factors were investigated using evidential belief functions technique in a GIS environment. The integrated belief values were classified into five categories using natural break classification scheme to predict spatial zoning of groundwater flowing well, namely very low (0.17-0.34), low (0.34-0.46), moderate (0.46-0.58), high (0.58-0.80), and very high (0.80-0.99). The results show that very low and low zones cover 72 % (19,282 km(2)) of the study area mostly clustered in the central part, the moderate zone concentrated in the west part covers 13 % (3481 km(2)), and the high and very high zones extended over the northern part cover 15 % (3977 km(2)) of the study area. The vast spatial extension of very low and low zones indicates that groundwater flowing wells potential in the study area is low. The performance of the evidential belief functions spatial model was validated using the receiver operating characteristic curve. A success rate of 0.95 and a prediction rate of 0.94 were estimated from the area under relative operating characteristics curves, which indicate that the developed model has excellent capability to predict groundwater flowing well zones. The produced map of groundwater

Implementation av spridningsmodell i ArcGIS

OpenAIRE

Jou, Javid

2012-01-01

The project involves implementing a finished dispersion model into ArcGIS. The goal of the tool is to show how dangerous and toxic substances will travel in the ground after long periods. The goal of the project is to understand GIS in general, what it is used for and gain an insight into how developing tools for ArcGIS is, what challenges might exists. Understanding the type of data that can be stored and accessed in ArcGIS a long with the tools and functionality offered by the system when u...

Power Relative to Body Mass Best Predicts Change in Core Temperature During Exercise-Heat Stress.

Science.gov (United States)

Gibson, Oliver R; Willmott, Ashley G B; James, Carl A; Hayes, Mark; Maxwell, Neil S

2017-02-01

Gibson, OR, Willmott, AGB, James, CA, Hayes, M, and Maxwell, NS. Power relative to body mass best predicts change in core temperature during exercise-heat stress. J Strength Cond Res 31(2): 403-414, 2017-Controlling internal temperature is crucial when prescribing exercise-heat stress, particularly during interventions designed to induce thermoregulatory adaptations. This study aimed to determine the relationship between the rate of rectal temperature (Trec) increase, and various methods for prescribing exercise-heat stress, to identify the most efficient method of prescribing isothermic heat acclimation (HA) training. Thirty-five men cycled in hot conditions (40° C, 39% R.H.) for 29 ± 2 minutes. Subjects exercised at 60 ± 9% V[Combining Dot Above]O2peak, with methods for prescribing exercise retrospectively observed for each participant. Pearson product moment correlations were calculated for each prescriptive variable against the rate of change in Trec (° C·h), with stepwise multiple regressions performed on statistically significant variables (p ≤ 0.05). Linear regression identified the predicted intensity required to increase Trec by 1.0-2.0° C between 20- and 45-minute periods and the duration taken to increase Trec by 1.5° C in response to incremental intensities to guide prescription. Significant (p ≤ 0.05) relationships with the rate of change in Trec were observed for prescriptions based on relative power (W·kg; r = 0.764), power (%Powermax; r = 0.679), rating of perceived exertion (RPE) (r = 0.577), V[Combining Dot Above]O2 (%V[Combining Dot Above]O2peak; r = 0.562), heart rate (HR) (%HRmax; r = 0.534), and thermal sensation (r = 0.311). Stepwise multiple regressions observed relative power and RPE as variables to improve the model (r = 0.791), with no improvement after inclusion of any anthropometric variable. Prescription of exercise under heat stress using power (W·kg or %Powermax) has the strongest relationship with the rate of change in

Acute post-exercise change in blood pressure and exercise training response in patients with coronary artery disease

Directory of Open Access Journals (Sweden)

Antti M Kiviniemi

2015-01-01

Full Text Available We tested the hypothesis that acute post-exercise change in blood pressure (BP may predict exercise training responses in BP in patients with coronary artery disease (CAD. Patients with CAD (n=116, age 62±5 years, 85 men underwent BP assessments at rest and during 10-min recovery following a symptom-limited exercise test before and after the 6-month training intervention (one strength and 3-4 aerobic moderate-intensity exercises weekly. Post-exercise change in systolic BP (SBP was calculated by subtracting resting SBP from lowest post-exercise SBP. The training-induced change in resting SBP was -2±13 mmHg (p=0.064, ranging from -42 to 35 mmHg. Larger post-exercise decrease in SBP and baseline resting SBP predicted a larger training-induced decrement in SBP (β=0.46 and β=-0.44, respectively, p<0.001 for both. Acute post-exercise decrease in SBP provided additive value to baseline resting SBP in the prediction of training-induced change in resting SBP (R squared from 0.20 to 0.26, p=0.002. After further adjustments for other potential confounders (sex, age, baseline body mass index, realized training load, post-exercise decrease in SBP still predicted the training response in resting SBP (β=0.26, p=0.015. Acute post-exercise change in SBP was associated with training-induced change in resting SBP in patients with CAD, providing significant predictive information beyond baseline resting SBP.

Engineering sustainable ecosystems: using GIS-based habitat modeling for oil sands mine reclamation and closure planning

International Nuclear Information System (INIS)

Seel, K.

1997-01-01

A GIS model was built to predict the climax vegetation habitat types on reclaimed mine surfaces in the Fort McMurray region of the Mid-Boreal Mixedwood Ecoregion of northwestern Alberta. Regional vegetation habitat types were classified by digital remote sensing using Landsat Thematic Mapper satellite data. Terrain data was derived from a high-resolution digital elevation model. The validated model was applied to the GIS database of Syncrude Canada's Mildred Lake Mine to predict future vegetation patterns based on the final closure mine surface. The results were compared to revegetation and closure plans created by experts to analyze performance and sustainability of reclamation efforts

Predicting students' physical activity and health-related well-being: a prospective cross-domain investigation of motivation across school physical education and exercise settings.

Science.gov (United States)

Standage, Martyn; Gillison, Fiona B; Ntoumanis, Nikos; Treasure, Darren C

2012-02-01

A three-wave prospective design was used to assess a model of motivation guided by self-determination theory (Ryan & Deci, 2008) spanning the contexts of school physical education (PE) and exercise. The outcome variables examined were health-related quality of life (HRQoL), physical self-concept (PSC), and 4 days of objectively assessed estimates of activity. Secondary school students (n = 494) completed questionnaires at three separate time points and were familiarized with how to use a sealed pedometer. Results of structural equation modeling supported a model in which perceptions of autonomy support from a PE teacher positively predicted PE-related need satisfaction (autonomy, competence, and relatedness). Competence predicted PSC, whereas relatedness predicted HRQoL. Autonomy and competence positively predicted autonomous motivation toward PE, which in turn positively predicted autonomous motivation toward exercise (i.e., 4-day pedometer step count). Autonomous motivation toward exercise positively predicted step count, HRQoL, and PSC. Results of multisample structural equation modeling supported gender invariance. Suggestions for future work are discussed.

Influence of Goal Contents on Exercise Addiction: Analysing the Mediating Effect of Passion for Exercise.

Science.gov (United States)

Sicilia, Álvaro; Alcaraz-Ibáñez, Manuel; Lirola, María-Jesús; Burgueño, Rafael

2017-10-01

Based on the self-determination theory (Deci and Ryan, 1985, 2000), the purpose of this study was to examine the effects of exercise goal contents on exercise addiction, taking into account the mediating effects of passion for exercise. A total of 384 university students (284 men and 100 women; M age = 20.31, SD = 3.10) completed a questionnaire that measured exercise frequency and intensity, exercise goal contents (e.g. intrinsic: social affiliation, health management, skill development; extrinsic: image and social recognition), passion for exercise (e.g. harmonious and obsessive), and exercise addiction. After controlling the exercise frequency and intensity effects, results showed that goal contents did not directly predict exercise addiction. However, mediation analysis showed that goal contents predicted addiction through passion for exercise. These results support a motivational sequence in which extrinsic versus intrinsic goals influence exercise addiction because such goals are positively associated with obsessive passion for exercise and negatively associated with harmonious passion.

Influence of Goal Contents on Exercise Addiction: Analysing the Mediating Effect of Passion for Exercise

Directory of Open Access Journals (Sweden)

Sicilia Álvaro

2017-10-01

Full Text Available Based on the self-determination theory (Deci and Ryan, 1985, 2000, the purpose of this study was to examine the effects of exercise goal contents on exercise addiction, taking into account the mediating effects of passion for exercise. A total of 384 university students (284 men and 100 women; Mage = 20.31, SD = 3.10 completed a questionnaire that measured exercise frequency and intensity, exercise goal contents (e.g. intrinsic: social affiliation, health management, skill development; extrinsic: image and social recognition, passion for exercise (e.g. harmonious and obsessive, and exercise addiction. After controlling the exercise frequency and intensity effects, results showed that goal contents did not directly predict exercise addiction. However, mediation analysis showed that goal contents predicted addiction through passion for exercise. These results support a motivational sequence in which extrinsic versus intrinsic goals influence exercise addiction because such goals are positively associated with obsessive passion for exercise and negatively associated with harmonious passion.

UN OPEN GIS CAPACITY BUILDING

Directory of Open Access Journals (Sweden)

A. Albertella

2017-07-01

Full Text Available The UN Open GIS Initiative is to identify and develop, under UN guidance, an Open Source GIS bundle that meets the requirements of UN operations, taking full advantage of the expertise of mission partners (partner nations, technology contributing countries, international organizations, academia, NGO’s, private sector. The project, started in 2016, is composed by 4 working groups. One of the working group is specifically related to Capacity Building, given its importance for the success of the project. UN Open GIS will be based on some existing open source geospatial software (packages and libraries with many extensions specifically developed. The users of the platform will be the UN staff supporting with mapping and GIS the peacekeeping missions. Therefore, they are generally expert of this specific domain, even if they are currently using proprietary software. UN Open GIS Capacity Building is specifically thought for covering this gap, providing them the suitable background about open source geospatial software in general and the education tailored to the solution that has been being developed within the project itself.

Can Energy Cost During Low-Intensity Resistance Exercise be Predicted by the OMNI-RES Scale?

Science.gov (United States)

Vianna, Jefferson M.; Reis, Victor M.; Saavedra, Francisco; Damasceno, Vinicius; Silva, Sérgio G.; Goss, Fredric

2011-01-01

The aim of the present study was to assess the precision of the OMNI-RES scale to predict energy cost (EC) at low intensity in four resistance exercises (RE). 17 male recreational body builders (age = 26.6 ± 4.9 years; height = 177.7 ± 0.1 cm; body weight = 79.0 ± 11.1 kg and percent body fat = 10.5 ± 4.6%) served as subjects. Initially tests to determine 1RM for four resistance exercises (bench press, half squat, lat pull down and triceps extension) were administered. Subjects also performed resistance exercise at 12, 16, 20, and 24% of 1RM at a rate of 40 bpm until volitional exhaustion. Oxygen uptake (VO2) and rate of perceived exertion (RPE) using the OMNI-RES were obtained during and after all RE. EC was calculated using VO2 and the caloric values of VO2 for non-protein RER. Regression analyses were performed for every RE, using EC as the dependent and RPE as the predictor variable. The triceps extension, lat pull down and bench press, RPE correlated strongly with EC (R > 0.97) and predicted EC with a error of less than 0.2 kcal.min−1. In conclusion, RPE using the OMNI-RES scale can be considered as an accurate indicator of EC in the bench press, lat pull down and triceps extension performed by recreational bodybuilders, provided lower intensities are used (up to 24% of 1-RM) and provided each set of exercise is performed for the maximal sustainable duration. It would be interesting in future studies to consider having the subjects exercise at low intensities for longer durations than those in the present study. PMID:23486188

What Predicts Exercise Maintenance and Well-Being? Examining The Influence of Health-Related Psychographic Factors and Social Media Communication.

Science.gov (United States)

Zhou, Xin; Krishnan, Archana

2018-01-26

Habitual exercising is an important precursor to both physical and psychological well-being. There is, thus, a strong interest in identifying key factors that can best motivate individuals to sustain regular exercise regimen. In addition to the importance of psychographic factors, social media use may act as external motivator by allowing users to interact and communicate about exercise. In this study, we examined the influence of health consciousness, health-oriented beliefs, intrinsic motivation, as willingness to communicate about health on social media, social media activity on exercise, and online social support on exercise maintenance and well-being on a sample of 532 American adults. Employing structural equation modeling, we found that health-oriented beliefs mediated the effect of health consciousness on intrinsic motivation which in turn was a significant predictor of exercise maintenance. Exercise maintenance significantly predicted both physical and psychological well-being. Extrinsic motivators, as measured by willingness to communicate about health on social media, social media activity on exercise, and online social support did not however significantly influence exercise maintenance. These findings have implications for the design and implementation of exercise-promoting interventions by identifying underlying factors that influence exercise maintenance.

Tilgængelighed & GIS

DEFF Research Database (Denmark)

Clemens, Esben Norby; Rolff-Petersen, Hans

2002-01-01

Artiklen beskriver en metode til implementering af en gravitationsbaseret tilgængelighedsmodel ved anvendelse af bl.a. netværksberegninger i et standard GIS-software. Udgivelsesdato: August......Artiklen beskriver en metode til implementering af en gravitationsbaseret tilgængelighedsmodel ved anvendelse af bl.a. netværksberegninger i et standard GIS-software. Udgivelsesdato: August...

Modelling soil erosion risk based on RUSLE-3D using GIS in a ...

Indian Academy of Sciences (India)

2016-08-26

watershed ... Click here to view fulltext PDF ... The RUSLE-3D (Revised Universal Soil Loss Equation-3D) model was implemented in geographic information system (GIS) for predicting the soil loss and the spatial patterns of soil ...

Exercise motivation: a cross-sectional analysis examining its relationships with frequency, intensity, and duration of exercise

Directory of Open Access Journals (Sweden)

Wilson Philip M

2010-01-01

Full Text Available Abstract Background It is important to engage in regular physical activity in order to maintain a healthy lifestyle however a large portion of the population is insufficiently active. Understanding how different types of motivation contribute to exercise behavior is an important first step in identifying ways to increase exercise among individuals. The current study employs self-determination theory as a framework from which to examine how motivation contributes to various characteristics of exercise behavior. Methods Regular exercisers (N = 1079; n = 468 males; n = 612 females completed inventories which assessed the frequency, intensity, and duration with which they exercise, as well as the Behavioral Regulation in Exercise Questionnaire including four additional items assessing integrated regulation. Results Bivariate correlations revealed that all three behavioral indices (frequency, intensity, and duration of exercise were more highly correlated with more autonomous than controlling regulations. Regression analyses revealed that integrated and identified regulations predicted exercise frequency for males and females. Integrated regulation was found to be the only predictor of exercise duration across both genders. Finally, introjected regulation predicted exercise intensity for females only. Conclusions These findings suggest that exercise regulations that vary in their degree of internalization can differentially predict characteristics of exercise behavior. Furthermore, in the motivational profile of a regular exerciser, integrated regulation appears to be an important determinant of exercise behavior. These results highlight the importance of assessing integrated regulation in exercise settings where the goal of understanding motivated behavior has important health implications.

Changes in Theory-Based Psychological Factors Predict Weight Loss in Women with Class III Obesity Initiating Supported Exercise

Directory of Open Access Journals (Sweden)

James J. Annesi

2010-01-01

Full Text Available Background. Psychological factors' effect on weight loss is poorly understood, in general, and specifically in the severely obese. Objective. To examine whether a behavioral model based on tenets of social cognitive and self-efficacy theory will increase understanding of the relationship between exercise and weight loss. Methods. Fifty-one women with severe obesity participated in a 24-week exercise and nutrition information treatment and were measured on changes in psychological factors and exercise attendance. Results. A significant portion of the variance in BMI change (adjusted for number of predictors was accounted for by the behavioral model (2adj=0.23. Entry of exercise session attendance only marginally improved the prediction to 0.27. Only 19% of the weight lost was directly attributable to caloric expenditure from exercise. Conclusions. Findings suggest that participation in an exercise program affects weight loss through psychological pathways and, thus, may be important in the behavioral treatment of severe obesity.

Towards a Conceptual Framework for WikiGIS

Directory of Open Access Journals (Sweden)

Wided Batita

2014-10-01

Full Text Available As an emerging complex concept, GeoDesign requires an innovative theoretical basis, tools, supports and practices. For this reason, we propose a new concept, “WikiGIS”, designed to answer some dimensions of the GeoDesign process. WikiGIS focuses on the needs of GeoDesign, but we leave the door open for future improvement when tested in other areas that may have additional needs. WikiGIS is built on Web 2.0 technologies—and primarily on wiki—to manage the tracking of participants’ editing (i.e., managing the contributions history. It also offers GIS functions for geoprocessing and a design-based approach for sketching proposals. One of the main strengths of WikiGIS is its ability to manage the traceability of contributions with an easy and dynamical access, data quality and deltification. The core of this paper consists of presenting a conceptual framework for WikiGIS using UML diagrams. A user interface is presented later to show how our WikiGIS proposal works. This interface is simply a means to illustrate the concepts underlying WikiGIS.

GIS og geodata

DEFF Research Database (Denmark)

Balstrøm, Thomas

2008-01-01

Interview med Thomas Balstrøm om anvendelser af geografiske informationssystemer (GIS) i relation til forskning i jordbundsgeografiske problemstillinger. Bl.a. om forskning i rumlige analyser og inddragelse af rumlig statistik til at finde sammenhænge i geografiske data.......Interview med Thomas Balstrøm om anvendelser af geografiske informationssystemer (GIS) i relation til forskning i jordbundsgeografiske problemstillinger. Bl.a. om forskning i rumlige analyser og inddragelse af rumlig statistik til at finde sammenhænge i geografiske data....

Geostatistics and GIS: tools for characterizing environmental contamination.

Science.gov (United States)

Henshaw, Shannon L; Curriero, Frank C; Shields, Timothy M; Glass, Gregory E; Strickland, Paul T; Breysse, Patrick N

2004-08-01

Geostatistics is a set of statistical techniques used in the analysis of georeferenced data that can be applied to environmental contamination and remediation studies. In this study, the 1,1-dichloro-2,2-bis(p-chlorophenyl)ethylene (DDE) contamination at a Superfund site in western Maryland is evaluated. Concern about the site and its future clean up has triggered interest within the community because residential development surrounds the area. Spatial statistical methods, of which geostatistics is a subset, are becoming increasingly popular, in part due to the availability of geographic information system (GIS) software in a variety of application packages. In this article, the joint use of ArcGIS software and the R statistical computing environment are demonstrated as an approach for comprehensive geostatistical analyses. The spatial regression method, kriging, is used to provide predictions of DDE levels at unsampled locations both within the site and the surrounding areas where residential development is ongoing.

Application of GIS from the multifunctionality aspect

Directory of Open Access Journals (Sweden)

Mirko A. Borisov

2011-04-01

uniqueness and quality of the research of common geospace. In the present state of the development, it is hard to predict the trends of cartographic and generally speaking GIS processes, but the most important is that topographic data have digital form the meaning of which is universal, regardless of the current development of technique and technology.

Using Web-Based GIS in Introductory Human Geography

Science.gov (United States)

Songer, Lynn C.

2010-01-01

Advocates for using a geographic information system (GIS) in education assert that GIS improves student learning. However, studies to clarify the relationship between learning and using GIS are still needed. This study examines the effects of using Web-based GIS maps in place of paper maps on students' geography content knowledge and motivation…

The Global Landscape of GIS in Secondary Education

Science.gov (United States)

Kerski, Joseph J.; Demirci, Ali; Milson, Andrew J.

2013-01-01

This study analyzes the status of GIS in schools in thirty-three countries and proposes recommendations for advancing the implementation and effectiveness of GIS in secondary education from an international perspective. Thirty-three countries have been evaluated in the study to assess the global landscape of educational GIS by analyzing how GIS is…

Exercise thallium-201 scintigraphy in men with nondiagnostic exercise electrocardiograms. Prognostic implications

International Nuclear Information System (INIS)

Iskandrian, A.S.; Hakki, A.H.; Kane-Marsch, S.

1986-01-01

We studied the prognostic value of exercise thallium-201 imaging in 196 men with suspected or known coronary artery disease who had nondiagnostic exercise electrocardiograms. The perfusion images in each of three projections were divided into three segments; each segment was assessed for perfusion defects (fixed or reversible). There were 12 cardiac events at a mean follow-up of 15 months (range, one to 66 months). Of those, five patients died of cardiac causes and seven had nonfatal acute myocardial infarctions (MIs). Only the number of perfusion defects significantly predicted cardiac events; clinical presentation, history of MI, presence of Q-wave MI, exercise duration, and exercise heart rate and double product did not predict cardiac events or add to information provided by the number of defects. Furthermore, actuarial life-table analysis showed that patients with three or more perfusion defects had significantly worse prognoses than patients with fewer than three defects. Exercise thallium-201 imaging helps in risk stratification of men with nondiagnostic exercise electrocardiograms

Application of GIS based data driven evidential belief function model to predict groundwater potential zonation

Science.gov (United States)

Nampak, Haleh; Pradhan, Biswajeet; Manap, Mohammad Abd

2014-05-01

The objective of this paper is to exploit potential application of an evidential belief function (EBF) model for spatial prediction of groundwater productivity at Langat basin area, Malaysia using geographic information system (GIS) technique. About 125 groundwater yield data were collected from well locations. Subsequently, the groundwater yield was divided into high (⩾11 m3/h) and low yields (divided into a testing dataset 70% (42 wells) for training the model and the remaining 30% (18 wells) was used for validation purpose. To perform cross validation, the frequency ratio (FR) approach was applied into remaining groundwater wells with low yield to show the spatial correlation between the low potential zones of groundwater productivity. A total of twelve groundwater conditioning factors that affect the storage of groundwater occurrences were derived from various data sources such as satellite based imagery, topographic maps and associated database. Those twelve groundwater conditioning factors are elevation, slope, curvature, stream power index (SPI), topographic wetness index (TWI), drainage density, lithology, lineament density, land use, normalized difference vegetation index (NDVI), soil and rainfall. Subsequently, the Dempster-Shafer theory of evidence model was applied to prepare the groundwater potential map. Finally, the result of groundwater potential map derived from belief map was validated using testing data. Furthermore, to compare the performance of the EBF result, logistic regression model was applied. The success-rate and prediction-rate curves were computed to estimate the efficiency of the employed EBF model compared to LR method. The validation results demonstrated that the success-rate for EBF and LR methods were 83% and 82% respectively. The area under the curve for prediction-rate of EBF and LR methods were calculated 78% and 72% respectively. The outputs achieved from the current research proved the efficiency of EBF in groundwater

GIS/FIS development for the SSC

International Nuclear Information System (INIS)

Oslin, A.; Butalla, M.

1992-01-01

Facility management for a project of the size and complexity of the SSCL is a challenging task. The Facility Information System/Geographic Information System (FIS/GIS) should provide an effective tool for the demanding work ahead. Both the FIS and GIS encompass information that many potential users across multiple disciplines will require for effective facility management. FIS will be integrated with the GIS for applications that involve duplicate needs of graphic and attribute data. In particular, infrastructure networks, environmental monitoring, emergency dispatching, and hazardous materials management have been identified as areas where the two systems will interface. In general, the GIS will manage graphic and attribute information outside the actual structure of the SSCL. The FIS will take over operation of components and networks within the SSCL facility. By providing a method for informed decision-making, implementation of the SSC FIS/GIS will facilitate the tasks involved in managing our Laboratory during all phases of its life

GIS Application System Design Applied to Information Monitoring

Science.gov (United States)

Qun, Zhou; Yujin, Yuan; Yuena, Kang

Natural environment information management system involves on-line instrument monitoring, data communications, database establishment, information management software development and so on. Its core lies in collecting effective and reliable environmental information, increasing utilization rate and sharing degree of environment information by advanced information technology, and maximizingly providing timely and scientific foundation for environmental monitoring and management. This thesis adopts C# plug-in application development and uses a set of complete embedded GIS component libraries and tools libraries provided by GIS Engine to finish the core of plug-in GIS application framework, namely, the design and implementation of framework host program and each functional plug-in, as well as the design and implementation of plug-in GIS application framework platform. This thesis adopts the advantages of development technique of dynamic plug-in loading configuration, quickly establishes GIS application by visualized component collaborative modeling and realizes GIS application integration. The developed platform is applicable to any application integration related to GIS application (ESRI platform) and can be as basis development platform of GIS application development.

A GIS System for Inferring Subsurface Geology and Material Properties: Proof of Concept

Science.gov (United States)

2006-09-01

depressions generally light but speckled; pits are dark toned uniform light tones with white- laced gullies or dull and uniform without white- laced ...our fully developed GIS system is unlikely to have. Additional research using neural networks as a predictive tool not requiring similarly...in prep.) Predicting fracture trace length from imagery using neural networks. Ehlen, J., R. A. Hevenor, J. Kemeny, and K. Girdner. 1995. Fracture

Students individual engagement in GIS

DEFF Research Database (Denmark)

Madsen, Lene Møller; Christiansen, Frederik V; Rump, Camilla Østerberg

2014-01-01

This paper develops two sets of concepts to theorize why students engage differently in Geographical Information Systems (GIS). These theoretical concepts are used as an analytical lens to explore empirical data on the experiences and engagement of students enrolled in an undergraduate GIS course...... in planning and management. The analysis shows that both the theoretical perspectives and the custom and didactical contract are important to understand students' engagement in GIS. However, it is the personal desiderata that are the key to understanding the students' different engagement. Further, a temporal...... dimension and contextual awareness are important in understanding students' engagement in a broader perspective....

Integrating Online GIS into the K-12 Curricula: Lessons from the Development of a Collaborative GIS in Michigan

Science.gov (United States)

Henry, Paul; Semple, Hugh

2012-01-01

GIS has shown promise in Project Based Learning (PBL) environments, but many obstacles exist in its integration into school curriculums. This article discusses the development and utilization of an online GIS tool that was created to illustrate that the perceptual gap between relevance and ease of use of GIS software can be bridged at the K-12…

The invisible benefits of exercise.

Science.gov (United States)

Ruby, Matthew B; Dunn, Elizabeth W; Perrino, Andrea; Gillis, Randall; Viel, Sasha

2011-01-01

To examine whether--and why--people underestimate how much they enjoy exercise. Across four studies, 279 adults predicted how much they would enjoy exercising, or reported their actual feelings after exercising. Main outcome measures were predicted and actual enjoyment ratings of exercise routines, as well as intention to exercise. Participants significantly underestimated how much they would enjoy exercising; this affective forecasting bias emerged consistently for group and individual exercise, and moderate and challenging workouts spanning a wide range of forms, from yoga and Pilates to aerobic exercise and weight training (Studies 1 and 2). We argue that this bias stems largely from forecasting myopia, whereby people place disproportionate weight on the beginning of a workout, which is typically unpleasant. We demonstrate that forecasting myopia can be harnessed (Study 3) or overcome (Study 4), thereby increasing expected enjoyment of exercise. Finally, Study 4 provides evidence for a mediational model, in which improving people's expected enjoyment of exercise leads to increased intention to exercise. People underestimate how much they enjoy exercise because of a myopic focus on the unpleasant beginning of exercise, but this tendency can be harnessed or overcome, potentially increasing intention to exercise. (PsycINFO Database Record (c) 2010 APA, all rights reserved).

BUILDING A COMPLETE FREE AND OPEN SOURCE GIS INFRASTRUCTURE FOR HYDROLOGICAL COMPUTING AND DATA PUBLICATION USING GIS.LAB AND GISQUICK PLATFORMS

Directory of Open Access Journals (Sweden)

M. Landa

2017-07-01

Full Text Available Building a complete free and open source GIS computing and data publication platform can be a relatively easy task. This paper describes an automated deployment of such platform using two open source software projects – GIS.lab and Gisquick. GIS.lab (http: //web.gislab.io is a project for rapid deployment of a complete, centrally managed and horizontally scalable GIS infrastructure in the local area network, data center or cloud. It provides a comprehensive set of free geospatial software seamlessly integrated into one, easy-to-use system. A platform for GIS computing (in our case demonstrated on hydrological data processing requires core components as a geoprocessing server, map server, and a computation engine as eg. GRASS GIS, SAGA, or other similar GIS software. All these components can be rapidly, and automatically deployed by GIS.lab platform. In our demonstrated solution PyWPS is used for serving WPS processes built on the top of GRASS GIS computation platform. GIS.lab can be easily extended by other components running in Docker containers. This approach is shown on Gisquick seamless integration. Gisquick (http://gisquick.org is an open source platform for publishing geospatial data in the sense of rapid sharing of QGIS projects on the web. The platform consists of QGIS plugin, Django-based server application, QGIS server, and web/mobile clients. In this paper is shown how to easily deploy complete open source GIS infrastructure allowing all required operations as data preparation on desktop, data sharing, and geospatial computation as the service. It also includes data publication in the sense of OGC Web Services and importantly also as interactive web mapping applications.

DESIGN AND IMPLEMENTATION OF DYNAMIC SYMBOLS IN DYNAMIC GIS

Institute of Scientific and Technical Information of China (English)

无

2001-01-01

Many Internet-GIS have been implemented on the web and they are increasingly bec oming an important part of multimedia cartography that has much more users as co mpared to traditional GIS production media.Internet GIS technology has provided the GIS dynamic information acquisition w ith technical support.Also,the visualization technology of electronic map ha s provided tools for GIS symbols with dynamic characteristics.On the basis of GI S dynamic information acquisition,the design idea and implementation methods of dynamic symbols in dynamic GIS are presented in this article.

Programming ArcGIS 10.1 with Python cookbook

CERN Document Server

Pimpler, Eric

2013-01-01

This book is written in a helpful, practical style with numerous hands-on recipes and chapters to help you save time and effort by using Python to power ArcGIS to create shortcuts, scripts, tools, and customizations.""Programming ArcGIS 10.1 with Python Cookbook"" is written for GIS professionals who wish to revolutionize their ArcGIS workflow with Python. Basic Python or programming knowledge is essential(?).

Increasing student success in STEM through geosciences based GIS curriculum, interdisciplinary project based learning, and specialized STEM student services

Science.gov (United States)

Cheung, W.

2012-12-01

Under the auspices of the National Science Foundation's Advanced Technological Education Grant and the Department of Education's Title V/HSI Grant, Palomar College students from a variety of disciplines have not only been exposed to the high growth field of geospatial technologies, but have also been exposed to the geosciences and regional environmental issues in their GIS courses. By integrating introductory Physical Geography topics such as liquefaction, subsidence, ozone depletion, plate tectonics, and coastal processes in the introductory GIS curriculum, GIS students from fields ranging from Archaeology to Zoology were exposed to basic geosciences theories in a series of hands-on interactive exercises, while gaining competency in geospatial technologies. Additionally, as students undertake interdisciplinary service learning projects under the supervision of experts in the private, governmental, and nonprofit sectors, students were introduced to the STEM workplace, forged invaluable professional connections, applied their classroom knowledge to advance research (e.g. analyzing migration patterns of cephalopod), and analyzed regional environmental issues (e.g. distribution of invasive plants in state natural preserves). In order to further the retention and completion of students in GIS, Earth Science, and other STEM courses, a STEM Student Learning Center was constructed, whereby students can receive services such as supplemental instruction, walk-in tutoring, STEM counseling and transfer advising, as well as faculty and peer mentoring.

Geospatial environmental data modelling applications using remote sensing, GIS and spatial statistics

Energy Technology Data Exchange (ETDEWEB)

Siljander, M.

2010-07-01

This thesis presents novel modelling applications for environmental geospatial data using remote sensing, GIS and statistical modelling techniques. The studied themes can be classified into four main themes: (i) to develop advanced geospatial databases. Paper (I) demonstrates the creation of a geospatial database for the Glanville fritillary butterfly (Melitaea cinxia) in the Aaland Islands, south-western Finland; (ii) to analyse species diversity and distribution using GIS techniques. Paper (II) presents a diversity and geographical distribution analysis for Scopulini moths at a world-wide scale; (iii) to study spatiotemporal forest cover change. Paper (III) presents a study of exotic and indigenous tree cover change detection in Taita Hills Kenya using airborne imagery and GIS analysis techniques; (iv) to explore predictive modelling techniques using geospatial data. In Paper (IV) human population occurrence and abundance in the Taita Hills highlands was predicted using the generalized additive modelling (GAM) technique. Paper (V) presents techniques to enhance fire prediction and burned area estimation at a regional scale in East Caprivi Namibia. Paper (VI) compares eight state-of-the-art predictive modelling methods to improve fire prediction, burned area estimation and fire risk mapping in East Caprivi Namibia. The results in Paper (I) showed that geospatial data can be managed effectively using advanced relational database management systems. Metapopulation data for Melitaea cinxia butterfly was successfully combined with GPS-delimited habitat patch information and climatic data. Using the geospatial database, spatial analyses were successfully conducted at habitat patch level or at more coarse analysis scales. Moreover, this study showed it appears evident that at a large-scale spatially correlated weather conditions are one of the primary causes of spatially correlated changes in Melitaea cinxia population sizes. In Paper (II) spatiotemporal characteristics

Variation in GYS1 interacts with exercise and gender to predict cardiovascular mortality.

Directory of Open Access Journals (Sweden)

Jenny Fredriksson

Full Text Available BACKGROUND: The muscle glycogen synthase gene (GYS1 has been associated with type 2 diabetes (T2D, the metabolic syndrome (MetS, male myocardial infarction and a defective increase in muscle glycogen synthase protein in response to exercise. We addressed the questions whether polymorphism in GYS1 can predict cardiovascular (CV mortality in a high-risk population, if this risk is influenced by gender or physical activity, and if the association is independent of genetic variation in nearby apolipoprotein E gene (APOE. METHODOLOGY/PRINCIPAL FINDINGS: Polymorphisms in GYS1 (XbaIC>T and APOE (-219G>T, epsilon2/epsilon3/epsilon4 were genotyped in 4,654 subjects participating in the Botnia T2D-family study and followed for a median of eight years. Mortality analyses were performed using Cox proportional-hazards regression. During the follow-up period, 749 individuals died, 409 due to CV causes. In males the GYS1 XbaI T-allele (hazard ratio (HR 1.9 [1.2-2.9], T2D (2.5 [1.7-3.8], earlier CV events (1.7 [1.2-2.5], physical inactivity (1.9 [1.2-2.9] and smoking (1.5 [1.0-2.3] predicted CV mortality. The GYS1 XbaI T-allele predicted CV mortality particularly in physically active males (HR 1.7 [1.3-2.0]. Association of GYS1 with CV mortality was independent of APOE (219TT/epsilon4, which by its own exerted an effect on CV mortality risk in females (2.9 [1.9-4.4]. Other independent predictors of CV mortality in females were fasting plasma glucose (1.2 [1.1-1.2], high body mass index (BMI (1.0 [1.0-1.1], hypertension (1.9 [1.2-3.1], earlier CV events (1.9 [1.3-2.8] and physical inactivity (1.9 [1.2-2.8]. CONCLUSIONS/SIGNIFICANCE: Polymorphisms in GYS1 and APOE predict CV mortality in T2D families in a gender-specific fashion and independently of each other. Physical exercise seems to unmask the effect associated with the GYS1 polymorphism, rendering carriers of the variant allele less susceptible to the protective effect of exercise on the risk of CV death

Use NASA GES DISC Data in ArcGIS

Science.gov (United States)

Yang, Wenli; Pham, Long B.; Kempler, Steve

2015-01-01

This presentation describes GIS relevant data at NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), GES DISC Services and Support for GIS Users, and use cases of GES DISC data in ArcGIS.

The roles of self-efficacy and motivation in the prediction of short- and long-term adherence to exercise among patients with coronary heart disease.

Science.gov (United States)

Slovinec D'Angelo, Monika E; Pelletier, Luc G; Reid, Robert D; Huta, Veronika

2014-11-01

Poor adherence to regular exercise is a documented challenge among people with heart disease. Identifying key determinants of exercise adherence and distinguishing between the processes driving short- and long-term adherence to regular exercise is a valuable endeavor. The purpose of the present study was to test a model of exercise behavior change, which incorporates motivational orientations and self-efficacy for exercise behavior, in the prediction of short- and long-term exercise adherence. Male and female patients (N = 801) hospitalized for coronary heart disease were recruited from 3 tertiary care cardiac centers and followed for a period of 1 year after hospital discharge. A prospective, longitudinal design was used to examine the roles of motivation and self-efficacy (measured at recruitment and at 2 and 6 months after discharge) in the prediction of exercise behavior at 6 and 12 months. Baseline measures of exercise and clinical and demographic covariates were included in the analyses. Structural equation modeling showed that both autonomous motivation and self-efficacy were important determinants of short-term (6-month) exercise behavior regulation, but that only autonomous motivation remained a significant predictor of long-term (12-month) exercise behavior. Self-efficacy partially mediated the relationship between motivation for exercise and 6-month exercise behavior. This research confirmed the roles of autonomous motivation and self-efficacy in the health behavior change process and emphasized the key function of autonomous motivation in exercise maintenance. Theoretical and cardiac rehabilitation program applications of this research are discussed. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Students Individual Engagement in GIS

Science.gov (United States)

Madsen, Lene Møller; Christiansen, Frederik; Rump, Camilla

2014-01-01

This paper develops two sets of concepts to theorize why students engage differently in Geographical Information Systems (GIS). These theoretical concepts are used as an analytical lens to explore empirical data on the experiences and engagement of students enrolled in an undergraduate GIS course in planning and management. The analysis shows that…

What is exciting at the libraries? – GIS resources at Libraries

OpenAIRE

Kong, Nicole

2017-01-01

This presentation introduce the new GIS resources offered from Purdue University Libraries. These new support areas include the D-VELoP GIS computing lab, new Esri Development Center (EDC), GIS data portal, GIS data server, Insights for ArcGIS, and GIS VR technology.

Visualizing Economic Development with ArcGIS Explorer

Science.gov (United States)

Webster, Megan L.; Milson, Andrew J.

2011-01-01

Numerous educators have noted that Geographic Information Systems (GIS) is a powerful tool for social studies teaching and learning. Yet the use of GIS has been hampered by issues such as the cost of the software and the management of large spatial data files. One trend that shows great promise for GIS in education is the move to cloud computing.…

CyberGIS software: a synthetic review and integration roadmap

Energy Technology Data Exchange (ETDEWEB)

Wang, Shaowen [University of Illinois, Urbana-Champaign; Anselin, Luc [Arizona State University; Bhaduri, Budhendra L [ORNL; Cosby, Christopher [University Navstar Consortium, Boulder, CO; Goodchild, Michael [University of California, Santa Barbara; Liu, Yan [University of Illinois, Urbana-Champaign; Nygers, Timothy L. [University of Washington, Seattle

2013-01-01

CyberGIS defined as cyberinfrastructure-based geographic information systems (GIS) has emerged as a new generation of GIS representing an important research direction for both cyberinfrastructure and geographic information science. This study introduces a 5-year effort funded by the US National Science Foundation to advance the science and applications of CyberGIS, particularly for enabling the analysis of big spatial data, computationally intensive spatial analysis and modeling (SAM), and collaborative geospatial problem-solving and decision-making, simultaneously conducted by a large number of users. Several fundamental research questions are raised and addressed while a set of CyberGIS challenges and opportunities are identified from scientific perspectives. The study reviews several key CyberGIS software tools that are used to elucidate a vision and roadmap for CyberGIS software research. The roadmap focuses on software integration and synthesis of cyberinfrastructure, GIS, and SAM by defining several key integration dimensions and strategies. CyberGIS, based on this holistic integration roadmap, exhibits the following key characteristics: high-performance and scalable, open and distributed, collaborative, service-oriented, user-centric, and community-driven. As a major result of the roadmap, two key CyberGIS modalities gateway and toolkit combined with a community-driven and participatory approach have laid a solid foundation to achieve scientific breakthroughs across many geospatial communities that would be otherwise impossible.

GIS in geoscience education- geomorphometric study

Digital Repository Service at National Institute of Oceanography (India)

Mahender, K.; Yogita, K.; Kunte, P.D.

The educational institutions around the world have realised the possibility of using GIS in geosciences teaching along with in many other subjects. GIS is been used in a large number of geoscience applications viz. mapping, mineral and petroleum...

PROMAB-GIS: A GIS based Tool for Estimating Runoff and Sediment Yield in running Waters

Science.gov (United States)

Jenewein, S.; Rinderer, M.; Ploner, A.; Sönser, T.

2003-04-01

In recent times settlements have expanded, traffic and tourist activities have increased in most alpine regions. As a consequence, on the one hand humans and goods are affected by natural hazard processes more often, while on the other hand the demand for protection by both technical constructions and planning measures carried out by public authorities is growing. This situation results in an ever stronger need of reproducibility, comparability, transparency of all methods applied in modern natural hazard management. As a contribution to a new way of coping this situation Promab-GIS Version 1.0 has been developed. Promab-Gis has been designed as a model for time- and space-dependent determination of both runoff and bedload transport in rivers of small alpine catchment areas. The estimation of the unit hydrograph relies upon the "rational formula" and the time-area curves of the watershed. The time area diagram is a graph of cumulative drainage area contributing to discharge at the watershed outlet within a specified time of travel. The sediment yield is estimated for each cell of the channel network by determining the actual process type (erosion, transport or accumulation). Two types of transport processes are considered, sediment transport and debris flows. All functions of Promab-GIS are integrated in the graphical user interface of ArcView as pull-up menus and tool buttons. Hence the application of Promab-GIS does not rely on a sophisticated knowledge of GIS in general, respectively the ArcView software. However, despite the use of computer assistance, Promab-GIS still is an expert support system. In order to obtain plausible results, the users must be familiar with all the relevant processes controlling runoff and sediment yield in torrent catchments.

INTEGRATION OF GIS AND BIM FOR INDOOR GEOVISUAL ANALYTICS

Directory of Open Access Journals (Sweden)

B. Wu

2016-06-01

Full Text Available This paper presents an endeavour of integration of GIS (Geographical Information System and BIM (Building Information Modelling for indoor geovisual analytics. The merits of two types of technologies, GIS and BIM are firstly analysed in the context of indoor environment. GIS has well-developed capabilities of spatial analysis such as network analysis, while BIM has the advantages for indoor 3D modelling and dynamic simulation. This paper firstly investigates the important aspects for integrating GIS and BIM. Different data standards and formats such as the IFC (Industry Foundation Classes and GML (Geography Markup Language are discussed. Their merits and limitations in data transformation between GIS and BIM are analysed in terms of semantic and geometric information. An optimized approach for data exchange between GIS and BIM datasets is then proposed. After that, a strategy of using BIM for 3D indoor modelling, GIS for spatial analysis, and BIM again for visualization and dynamic simulation of the analysis results is presented. Based on the developments, this paper selects a typical problem, optimized indoor emergency evacuation, to demonstrate the integration of GIS and BIM for indoor geovisual analytics. The block Z of the Hong Kong Polytechnic University is selected as a test site. Detailed indoor and outdoor 3D models of the block Z are created using a BIM software Revit. The 3D models are transferred to a GIS software ArcGIS to carry out spatial analysis. Optimized evacuation plans considering dynamic constraints are generated based on network analysis in ArcGIS assuming there is a fire accident inside the building. The analysis results are then transferred back to BIM software for visualization and dynamic simulation. The developed methods and results are of significance to facilitate future development of GIS and BIM integrated solutions in various applications.

On Using GIS to Teach in the Social Sciences

Science.gov (United States)

Harris, Jill S.

2012-01-01

In this article, the author discusses how a professor can harness the power of Geographic Information Systems (GIS) and use GIS to teach in the social sciences. She shows examples of how GIS can illustrate concepts during lecture or discussion, and provides two specific GIS assignments: one for undergraduate students and the other for graduate…

Towards evidence-based, GIS-driven national spatial health information infrastructure and surveillance services in the United Kingdom

Directory of Open Access Journals (Sweden)

Boulos Maged

2004-01-01

Full Text Available Abstract The term "Geographic Information Systems" (GIS has been added to MeSH in 2003, a step reflecting the importance and growing use of GIS in health and healthcare research and practices. GIS have much more to offer than the obvious digital cartography (map functions. From a community health perspective, GIS could potentially act as powerful evidence-based practice tools for early problem detection and solving. When properly used, GIS can: inform and educate (professionals and the public; empower decision-making at all levels; help in planning and tweaking clinically and cost-effective actions, in predicting outcomes before making any financial commitments and ascribing priorities in a climate of finite resources; change practices; and continually monitor and analyse changes, as well as sentinel events. Yet despite all these potentials for GIS, they remain under-utilised in the UK National Health Service (NHS. This paper has the following objectives: (1 to illustrate with practical, real-world scenarios and examples from the literature the different GIS methods and uses to improve community health and healthcare practices, e.g., for improving hospital bed availability, in community health and bioterrorism surveillance services, and in the latest SARS outbreak; (2 to discuss challenges and problems currently hindering the wide-scale adoption of GIS across the NHS; and (3 to identify the most important requirements and ingredients for addressing these challenges, and realising GIS potential within the NHS, guided by related initiatives worldwide. The ultimate goal is to illuminate the road towards implementing a comprehensive national, multi-agency spatio-temporal health information infrastructure functioning proactively in real time. The concepts and principles presented in this paper can be also applied in other countries, and on regional (e.g., European Union and global levels.

Effect of Variable Spatial Scales on USLE-GIS Computations

Science.gov (United States)

Patil, R. J.; Sharma, S. K.

2017-12-01

Use of appropriate spatial scale is very important in Universal Soil Loss Equation (USLE) based spatially distributed soil erosion modelling. This study aimed at assessment of annual rates of soil erosion at different spatial scales/grid sizes and analysing how changes in spatial scales affect USLE-GIS computations using simulation and statistical variabilities. Efforts have been made in this study to recommend an optimum spatial scale for further USLE-GIS computations for management and planning in the study area. The present research study was conducted in Shakkar River watershed, situated in Narsinghpur and Chhindwara districts of Madhya Pradesh, India. Remote Sensing and GIS techniques were integrated with Universal Soil Loss Equation (USLE) to predict spatial distribution of soil erosion in the study area at four different spatial scales viz; 30 m, 50 m, 100 m, and 200 m. Rainfall data, soil map, digital elevation model (DEM) and an executable C++ program, and satellite image of the area were used for preparation of the thematic maps for various USLE factors. Annual rates of soil erosion were estimated for 15 years (1992 to 2006) at four different grid sizes. The statistical analysis of four estimated datasets showed that sediment loss dataset at 30 m spatial scale has a minimum standard deviation (2.16), variance (4.68), percent deviation from observed values (2.68 - 18.91 %), and highest coefficient of determination (R2 = 0.874) among all the four datasets. Thus, it is recommended to adopt this spatial scale for USLE-GIS computations in the study area due to its minimum statistical variability and better agreement with the observed sediment loss data. This study also indicates large scope for use of finer spatial scales in spatially distributed soil erosion modelling.

Integration of CAD and GIS technology using ArcGIS for development of building information systems

Directory of Open Access Journals (Sweden)

Cvetinović Jelena M.

2014-01-01

Full Text Available Paper will present basic definitions and significance of implementation of information systems for facility maintenance, as well as terms Facility management (FM and FM lifecycle. The main focus of this paper is on CAD and GIS integration within ArcGIS software in order to consolidate different data formats for creating unique information system for FM.

GIS In-Service Teacher Training Based on TPACK

Science.gov (United States)

Hong, Jung Eun; Stonier, Francis

2015-01-01

This article introduces the geographic information systems (GIS) in-service teacher training, focusing on the intersection of technological, pedagogical, and content knowledge (TPACK) for successful implementation of GIS in the classroom. Eleven social studies teachers in Georgia learned GIS technologies, inquiry-based learning, and social studies…

When Informationists Get Involved: the CHICA-GIS Project.

Science.gov (United States)

Whipple, Elizabeth C; Odell, Jere D; Ralston, Rick K; Liu, Gilbert C

2013-01-01

Child Health Improvement through Computer Automation (CHICA) is a computer decision support system (CDSS) that interfaces with existing electronic medical record systems (EMRS) and delivers "just-in-time" patient-relevant guidelines to physicians during the clinical encounter and accurately captures structured data from all who interact with the system. "Delivering Geospatial Intelligence to Health Care Professionals (CHICA-GIS)" (1R01LM010923-01) expands the medical application of Geographic Information Systems (GIS) by integrating a geographic information system with CHICA. To provide knowledge management support for CHICA-GIS, three informationists at the Indiana University School of Medicine were awarded a supplement from the National Library Medicine. The informationists will enhance CHICA-GIS by: improving the accuracy and accessibility of information, managing and mapping the knowledge which undergirds the CHICA-GIS decision support tool, supporting community engagement and consumer health information outreach, and facilitating the dissemination of new CHICA-GIS research results and services.

GIS and geotechnical mapping of expansive soil in Toshka region

Directory of Open Access Journals (Sweden)

Mary Labib

2013-09-01

Full Text Available This paper presents the results of a subsurface site investigation that was performed to characterize different soil and rock formations along Sheikh Zayed canal with particular emphasis on the swelling characteristics of the clays in that area. Site-specific empirical correlations were developed to predict the clay swelling potential and pressure from simple and economic laboratory test results. The data were input into a Geographic Information System (GIS framework to provide interactive maps that show the spatial distribution of the variables and identify their characteristics. These maps are then used to easily identify the values of swelling pressure/potential at various locations. This research provides a tool that is based on simple index tests that can be used to provide data that otherwise would require elaborate and costly investigations; the GIS framework allows storing, retrieving and updating these data easily to assist taking supported decisions dynamically.

Application of GIS to modified models of vehicle emission dispersion

Science.gov (United States)

Jin, Taosheng; Fu, Lixin

This paper reports on a preliminary study of the forecast and evaluation of transport-related air pollution dispersion in urban areas. Some modifications of the traditional Gauss dispersion models are provided, and especially a crossroad model is built, which considers the great variation of vehicle emission attributed to different driving patterns at the crossroad. The above models are combined with a self-developed geographic information system (GIS) platform, and a simulative system with graphical interfaces is built. The system aims at visually describing the influences on the urban environment by urban traffic characteristics and therefore gives a reference to the improvement of urban air quality. Due to the introduction of a self-developed GIS platform and a creative crossroad model, the system is more effective, flexible and accurate. Finally, a comparison of the simulated (predicted) and observed hourly concentration is given, which indicates a good simulation.

GIS and the Social Sciences : Theory and Applications

NARCIS (Netherlands)

Ballas, Dimitris; Clarke, Graham; Franklin, Rachel S.; Newing, Andy

2017-01-01

GIS and the Social Sciences offers a uniquely social science approach on the theory and application of GIS with a range of modern examples. It explores how human geography can engage with a variety of important policy issues through linking together GIS and spatial analysis, and demonstrates the

Geographical Information Systems (GIS); Sistemas de Informacion Geografica

Energy Technology Data Exchange (ETDEWEB)

Garcia Santiago, P.A. [Inisel Espacio, Madrid (Spain)

1994-12-31

Geographical Information Systems (GIS) have converted in a computer`s tool that due of its great versatility, exceeds of its usage as Basic Cartography Manager. The best GIS to use (vector or raster) will depend on the type of data we work with, we should keep in mind that the use of a specific GIS does not mean total incompatibility with others GIS. Future tendencies in this field aim to Data Storage Optimization and to Shared Operating System between Workstations and Personal computers. (Author)

Exercising for Life? Energy Metabolism, Body Composition, and Longevity in Mice Exercising at Different Intensities

NARCIS (Netherlands)

Vaanholt, Lobke M.; Daan, Serge; Garland, Theodore; Visser, G. Henk; Garland Jr., Theodore

2010-01-01

Studies that have found a positive influence of moderate, non-exhaustive exercise on life expectancy contradict the rate-of-living theory, which predicts that high energy expenditure in exercising animals should shorten life. We investigated effects of exercise on energy metabolism and life span in

The Multi-factor Predictive Seis &Gis Model of Ecological, Genetical, Population Health Risk and Bio-geodynamic Processes In Geopathogenic Zones

Science.gov (United States)

Bondarenko, Y.

I. Goal and Scope. Human birth rate decrease, death-rate growth and increase of mu- tagenic deviations risk take place in geopathogenic and anthropogenic hazard zones. Such zones create unfavourable conditions for reproductive process of future genera- tions. These negative trends should be considered as a protective answer of the com- plex biosocial system to the appearance of natural and anthropogenic risk factors that are unfavourable for human health. The major goals of scientific evaluation and de- crease of risk of appearance of hazardous processes on the territory of Dnipropetrovsk, along with creation of the multi-factor predictive Spirit-Energy-Information Space "SEIS" & GIS Model of ecological, genetical and population health risk in connection with dangerous bio-geodynamic processes, were: multi-factor modeling and correla- tion of natural and anthropogenic environmental changes and those of human health; determination of indicators that show the risk of destruction structures appearance on different levels of organization and functioning of the city ecosystem (geophys- ical and geochemical fields, soil, hydrosphere, atmosphere, biosphere); analysis of regularities of natural, anthropogenic, and biological rhythms' interactions. II. Meth- ods. The long spatio-temporal researches (Y. Bondarenko, 1996, 2000) have proved that the ecological, genetic and epidemiological processes are in connection with de- velopment of dangerous bio-geophysical and bio-geodynamic processes. Mathemat- ical processing of space photos, lithogeochemical and geophysical maps with use of JEIS o and ERDAS o computer systems was executed at the first stage of forma- tion of multi-layer geoinformation model "Dnipropetrovsk ARC View GIS o. The multi-factor nonlinear correlation between solar activity and cosmic ray variations, geophysical, geodynamic, geochemical, atmospheric, technological, biological, socio- economical processes and oncologic case rate frequency, general and primary

Study on Global GIS architecture and its key technologies

Science.gov (United States)

Cheng, Chengqi; Guan, Li; Lv, Xuefeng

2010-11-01

Global GIS (G2IS) is a system, which supports the huge data process and the global direct manipulation on global grid based on spheroid or ellipsoid surface. Based on global subdivision grid (GSG), Global GIS architecture is presented in this paper, taking advantage of computer cluster theory, the space-time integration technology and the virtual reality technology. Global GIS system architecture is composed of five layers, including data storage layer, data representation layer, network and cluster layer, data management layer and data application layer. Thereinto, it is designed that functions of four-level protocol framework and three-layer data management pattern of Global GIS based on organization, management and publication of spatial information in this architecture. Three kinds of core supportive technologies, which are computer cluster theory, the space-time integration technology and the virtual reality technology, and its application pattern in the Global GIS are introduced in detail. The primary ideas of Global GIS in this paper will be an important development tendency of GIS.

Exploitation of genetic interaction network topology for the prediction of epistatic behavior

KAUST Repository

Alanis Lobato, Gregorio

2013-10-01

Genetic interaction (GI) detection impacts the understanding of human disease and the ability to design personalized treatment. The mapping of every GI in most organisms is far from complete due to the combinatorial amount of gene deletions and knockdowns required. Computational techniques to predict new interactions based only on network topology have been developed in network science but never applied to GI networks.We show that topological prediction of GIs is possible with high precision and propose a graph dissimilarity index that is able to provide robust prediction in both dense and sparse networks.Computational prediction of GIs is a strong tool to aid high-throughput GI determination. The dissimilarity index we propose in this article is able to attain precise predictions that reduce the universe of candidate GIs to test in the lab. © 2013 Elsevier Inc.

Exploitation of genetic interaction network topology for the prediction of epistatic behavior

KAUST Repository

Alanis Lobato, Gregorio; Cannistraci, Carlo; Ravasi, Timothy

2013-01-01

Genetic interaction (GI) detection impacts the understanding of human disease and the ability to design personalized treatment. The mapping of every GI in most organisms is far from complete due to the combinatorial amount of gene deletions and knockdowns required. Computational techniques to predict new interactions based only on network topology have been developed in network science but never applied to GI networks.We show that topological prediction of GIs is possible with high precision and propose a graph dissimilarity index that is able to provide robust prediction in both dense and sparse networks.Computational prediction of GIs is a strong tool to aid high-throughput GI determination. The dissimilarity index we propose in this article is able to attain precise predictions that reduce the universe of candidate GIs to test in the lab. © 2013 Elsevier Inc.

The predictive capacity of the theory of reasoned action and the theory of planned behavior in exercise research: an integrated literature review.

Science.gov (United States)

Blue, C L

1995-04-01

Although the association between habitual exercise and health benefits has been well documented, physical activity levels in the United States are lower than is necessary to reach the nation's health potential. Beliefs that people hold can be a motivating factor in engaging in exercise. A critical review of the literature was conducted to assess the efficacy of using the Theory of Reasoned Action and the Theory of Planned Behavior with respect to exercise. Evidence for the predictive utility of the theories was found. The Theory of Planned Behavior is a more promising framework for the study of exercise because it includes beliefs about control of factors that would facilitate or inhibit carrying out exercise. Strategies for use of the theories in planning exercise programs are provided and suggestions for future research discussed.

Sensuous and Reflexive GIS: exploring visualisation and VRML

Directory of Open Access Journals (Sweden)

Mark Gillings

1996-09-01

Full Text Available Over the last five years, landscape-based archaeological research has been transformed as the widespread introduction of Geographical Information Systems (GIS has begun to revolutionise the way we, as archaeologists, manage and manipulate spatial information. As GIS-based applications begin to reach maturity and the role of GIS as a flexible mechanism for the articulation, exploration and analysis of landscape data becomes more fully realised, GIS is increasingly being seen as much as a place to think as a simple data management and mapping tool.

GIS-BASED EVALUATION AND PREDICTION OF ECOLOGICAL SITUATION IN THE COAL MINING AREAS WITH A CRITICAL TECHNOGENIC IMPACT

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S. V. Pyankov

2017-01-01

Full Text Available The paper highlights the features of the creation of the basin GIS, developed to support the environmental monitoring, assessment and forecasting of negative consequences in the areas of technogenic disaster (on the example of abandoned Kizel coal basin, located in Perm Region, Russia. The world experience of applying GIS-technologies for solving environmental problems of coal-mining regions is also being discussed. The information basis and structure of the cartographic and attributive database of the Kizel coal basin GIS are presented. The main tasks of creating the GIS, including inventory of man-made impact sources, identification of the spatio-temporal distribution patterns of pollutants, quantification and mapping of the territory ecological status, forecasting of the environmental situation and planning of environmental measures have been identified. A system of spatial criteria for the integrated assessment of the territory ecological status within coal basins is proposed, which will allow monitoring of environmental changes and identifying areas with the critical environmental situation. These criteria include the pH value and the sulfates concentration in the streams, the complex of heavy metals, the species composition of microorganisms in surface waters, the area of degraded land and dead forest stands. The degree of negative impact of the abandoned coal mines on streams and groundwater is described, and the priority pollutants are identified.The estimates of the extent of contaminated streams, as well as areas of potential contamination of floodplain lands have been obtained using LANDSAT satellite imagery data. The significance of the creation of the algorithms for the integration of heterogeneous spatial information (ground-based and remote sensing observations for compiling synthetic maps that objectively estimate the ecological situation has been noted. 

Longitudinal associations between exercise identity and exercise motivation: A multilevel growth curve model approach.

Science.gov (United States)

Ntoumanis, N; Stenling, A; Thøgersen-Ntoumani, C; Vlachopoulos, S; Lindwall, M; Gucciardi, D F; Tsakonitis, C

2018-02-01

Past work linking exercise identity and exercise motivation has been cross-sectional. This is the first study to model the relations between different types of exercise identity and exercise motivation longitudinally. Understanding the dynamic associations between these sets of variables has implications for theory development and applied research. This was a longitudinal survey study. Participants were 180 exercisers (79 men, 101 women) from Greece, who were recruited from fitness centers and were asked to complete questionnaires assessing exercise identity (exercise beliefs and role-identity) and exercise motivation (intrinsic, identified, introjected, external motivation, and amotivation) three times within a 6 month period. Multilevel growth curve modeling examined the role of motivational regulations as within- and between-level predictors of exercise identity, and a model in which exercise identity predicted exercise motivation at the within- and between-person levels. Results showed that within-person changes in intrinsic motivation, introjected, and identified regulations were positively and reciprocally related to within-person changes in exercise beliefs; intrinsic motivation was also a positive predictor of within-person changes in role-identity but not vice versa. Between-person differences in the means of predictor variables were predictive of initial levels and average rates of change in the outcome variables. The findings show support to the proposition that a strong exercise identity (particularly exercise beliefs) can foster motivation for behaviors that reinforce this identity. We also demonstrate that such relations can be reciprocal overtime and can depend on the type of motivation in question as well as between-person differences in absolute levels of these variables. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

The GIS and data solution for advanced business analysis

OpenAIRE

RADUT Carmen

2009-01-01

The GIS Business Analyst is a suite of Geographic Information System (GIS)-enabled tools, wizards, and data that provides business professionals with a complete solution for site evaluation, selective customer profiling, and trade area market analysis. Running simple reports, mapping the results, and performing complex probability models are among the capabilities The GIS Business Analyst offers in one affordable desktop analysis solution. Data and analyses produced by The GIS Business Analys...

SOFTWARE ARCHITECTURE DESIGN OF GIS WEB SERVICE AGGREGATION BASED ON SERVICE GROUP

Directory of Open Access Journals (Sweden)

J.-C. Liu

2012-08-01

Full Text Available Based on the analysis of research status of domestic and international GIS web service aggregation and development tendency of public platform of GIS web service, the paper designed software architecture of GIS web service aggregation based on GIS web service group. Firstly, using heterogeneous GIS services model, the software architecture converted a variety of heterogeneous services to a unified interface of GIS services, and divided different types of GIS services into different service groups referring to description of GIS services. Secondly, a service aggregation process model was designed. This model completed the task of specific service aggregation instance, by automatically selecting member GIS Web services in the same service group. Dynamic capabilities and automatic adaptation of GIS Web services aggregation process were achieved. Thirdly, this paper designed a service evaluation model of GIS web service aggregation based on service group from three aspects, i.e. GIS Web Service itself, networking conditions and service consumer. This model implemented effective quality evaluation and performance monitoring of GIS web service aggregation. It could be used to guide the execution, monitor and service selection of aggregation process. Therefore, robustness of aggregated GIS web service was improved. Finally, the software architecture has been widely used in public platform of GIS web service and a number of geo-spatial framework constructions for digital city in Sichuan Province, and aggregated various GIS web services such as World Map(National Public Platform of Geo-spatial Service, ArcGIS, SuperMap, MapGIS, NewMap etc. Applications of items showed that this software architecture was practicability.

Integrating GIS and GPS in environmental remediation oversight

International Nuclear Information System (INIS)

Kaletsky, K.; Earle, J.R.; Schneider, T.A.

1996-01-01

This paper presents findings on Ohio EPA Office of Federal Facilities Oversight's (OFFO) use of GIS and GPS for environmental remediation oversight at the U.S. Department of Energy's (DOE) Fernald Site. The Fernald site is a former uranium metal production facility within DOE's nuclear weapons complex. Significant uranium contamination of soil and groundwater is being remediated under state and federal regulations. OFFO uses GIS/GPS to enhance environmental monitoring and remediation oversight. These technologies are utilized within OFFO's environmental monitoring program for sample location and parameter selection, data interpretation and presentation. GPS is used to integrate sample data into OFFO's GIS and for permanently linking precise and accurate geographic data to samples and waste units. It is important to identify contamination geographically as all visual references (e.g., buildings, infrastructure) will be removed during remediation. Availability of the GIS allows OFFO to perform independent analysis and review of DOE contractor generated data, models, maps, and designs. This ability helps alleviate concerns associated with open-quotes black boxclose quotes models and data interpretation. OFFO's independent analysis has increased regulatory confidence and the efficiency of design reviews. GIS/GPS technology allows OFFO to record and present complex data in a visual format aiding in stakeholder education and awareness. Presented are OFFO's achievements within the aforementioned activities and some reasons learned in implementing the GIS/GPS program. OFFO's two years of GIS/GPS development have resulted in numerous lessons learned and ideas for increasing effectiveness through the use of GIS/GPS

Physical Stress Echocardiography: Prediction of Mortality and Cardiac Events in Patients with Exercise Test showing Ischemia

Directory of Open Access Journals (Sweden)

Ana Carla Pereira de Araujo

2014-11-01

Full Text Available Background: Studies have demonstrated the diagnostic accuracy and prognostic value of physical stress echocardiography in coronary artery disease. However, the prediction of mortality and major cardiac events in patients with exercise test positive for myocardial ischemia is limited. Objective: To evaluate the effectiveness of physical stress echocardiography in the prediction of mortality and major cardiac events in patients with exercise test positive for myocardial ischemia. Methods: This is a retrospective cohort in which 866 consecutive patients with exercise test positive for myocardial ischemia, and who underwent physical stress echocardiography were studied. Patients were divided into two groups: with physical stress echocardiography negative (G1 or positive (G2 for myocardial ischemia. The endpoints analyzed were all-cause mortality and major cardiac events, defined as cardiac death and non-fatal acute myocardial infarction. Results: G2 comprised 205 patients (23.7%. During the mean 85.6 ± 15.0-month follow-up, there were 26 deaths, of which six were cardiac deaths, and 25 non-fatal myocardial infarction cases. The independent predictors of mortality were: age, diabetes mellitus, and positive physical stress echocardiography (hazard ratio: 2.69; 95% confidence interval: 1.20 - 6.01; p = 0.016. The independent predictors of major cardiac events were: age, previous coronary artery disease, positive physical stress echocardiography (hazard ratio: 2.75; 95% confidence interval: 1.15 - 6.53; p = 0.022 and absence of a 10% increase in ejection fraction. All-cause mortality and the incidence of major cardiac events were significantly higher in G2 (p < 0. 001 and p = 0.001, respectively. Conclusion: Physical stress echocardiography provides additional prognostic information in patients with exercise test positive for myocardial ischemia.

GenGIS 2: geospatial analysis of traditional and genetic biodiversity, with new gradient algorithms and an extensible plugin framework.

Directory of Open Access Journals (Sweden)

Donovan H Parks

Full Text Available GenGIS is free and open source software designed to integrate biodiversity data with a digital map and information about geography and habitat. While originally developed with microbial community analyses and phylogeography in mind, GenGIS has been applied to a wide range of datasets. A key feature of GenGIS is the ability to test geographic axes that can correspond to routes of migration or gradients that influence community similarity. Here we introduce GenGIS version 2, which extends the linear gradient tests introduced in the first version to allow comprehensive testing of all possible linear geographic axes. GenGIS v2 also includes a new plugin framework that supports the development and use of graphically driven analysis packages: initial plugins include implementations of linear regression and the Mantel test, calculations of alpha-diversity (e.g., Shannon Index for all samples, and geographic visualizations of dissimilarity matrices. We have also implemented a recently published method for biomonitoring reference condition analysis (RCA, which compares observed species richness and diversity to predicted values to determine whether a given site has been impacted. The newest version of GenGIS supports vector data in addition to raster files. We demonstrate the new features of GenGIS by performing a full gradient analysis of an Australian kangaroo apple data set, by using plugins and embedded statistical commands to analyze human microbiome sample data, and by applying RCA to a set of samples from Atlantic Canada. GenGIS release versions, tutorials and documentation are freely available at http://kiwi.cs.dal.ca/GenGIS, and source code is available at https://github.com/beiko-lab/gengis.

Application of GIS-based SCS-CN method in West Bank catchments, Palestine

Directory of Open Access Journals (Sweden)

Sameer Shadeed

2010-03-01

Full Text Available Among the most basic challenges of hydrology are the prediction and quantification of catchment surface runoff. The runoff curve number (CN is a key factor in determining runoff in the SCS (Soil Conservation Service based hydrologic modeling method. The traditional SCS-CN method for calculating the composite curve number is very tedious and consumes a major portion of the hydrologic modeling time. Therefore, geographic information systems (GIS are now being used in combination with the SCS-CN method. This paper assesses the modeling of flow in West Bank catchments using the GIS-based SCS-CN method. The West Bank, Palestine, is characterized as an arid to semi-arid region with annual rainfall depths ranging between 100 mm in the vicinity of the Jordan River to 700 mm in the mountains extending across the central parts of the region. The estimated composite curve number for the entire West Bank is about 50 assuming dry conditions. This paper clearly demonstrates that the integration of GIS with the SCS-CN method provides a powerful tool for estimating runoff volumes in West Bank catchments, representing arid to semi-arid catchments of Palestine.

An Investigation into the Possibilities of BIM and GIS Cooperation and Utilization of GIS in the BIM Process

Directory of Open Access Journals (Sweden)

Pavel Tobiáš

2015-06-01

Full Text Available In the coming years we will most probably watch a significant increase of the BIM (building information model utilization in the AEC (Architecture/Engineering/Construction sector even in the Czech Republic. Therefore, it would be reasonable to consider possible utilization of the well-established geographic information systems within the building information modelling process. This paper is based on the currently existing literature and is focused on the interrelationship between BIM and GIS. The main goal is to reveal potential fields of cooperation and to find possible utilization of GIS in BIM. To provide a theoretical framework, this article briefly introduces and defines the term of BIM and deals with the most important semantic models in AEC and 3D GIS IFC and CityGML. The paper also contains examples of specific efforts recently dealing with the BIM and GIS collaboration.

Predictive factors of adherence to frequency and duration components in home exercise programs for neck and low back pain: an observational study

Directory of Open Access Journals (Sweden)

Jimeno-Serrano Francisco J

2009-12-01

Full Text Available Abstract Background Evidence suggests that to facilitate physical activity sedentary people may adhere to one component of exercise prescriptions (intensity, duration or frequency without adhering to other components. Some experts have provided evidence for determinants of adherence to different components among healthy people. However, our understanding remains scarce in this area for patients with neck or low back pain. The aims of this study are to determine whether patients with neck or low back pain have different rates of adherence to exercise components of frequency per week and duration per session when prescribed with a home exercise program, and to identify if adherence to both exercise components have distinct predictive factors. Methods A cohort of one hundred eighty-four patients with chronic neck or low back pain who attended physiotherapy in eight primary care centers were studied prospectively one month after intervention. The study had three measurement periods: at baseline (measuring characteristics of patients and pain, at the end of physiotherapy intervention (measuring characteristics of the home exercise program and a month later (measuring professional behaviors during clinical encounters, environmental factors and self-efficacy, and adherence behavior. Results Adherence to duration per session (70.9% ± 7.1 was more probable than adherence to frequency per week (60.7% ± 7.0. Self-efficacy was a relevant factor for both exercise components (p Conclusion We have shown in a clinic-based study that adherence to exercise prescription frequency and duration components have distinct levels and predictive factors. We recommend additional study, and advise that differential attention be given in clinical practice to each exercise component for improving adherence.

The application of GIS equipment in nuclear power plant

International Nuclear Information System (INIS)

Ji Lin; Huang Pengbo; Chang Xin'ai

2012-01-01

In this paper, the advantage and disadvantage of gas insulated switchgear (GIS) in environmental adaptability, operation safety and economic benefit are analyzed. Issues concerning the manufacture, transportation, on-site installation, operation, maintenance and extension of GIS equipment are discussed. Comparing those characteristics with air insulated switchgear (AIS), GIS is characterized by better aseismic ability, less occupied area and installation process, lower fault rate, longer maintenance period, easier for extension and higher economic benefit, SF6 gas insures the operation safety and reliability of GIS equipment, modular transport and re-assembling improves the installation flexibility. Therefore, GIS equipment may be the first choice for the primary equipment of nuclear power plant. (authors)

A GIS-based approach for the long-term prediction of human health risks at contaminated sites

NARCIS (Netherlands)

Bień, J.D.; Meer, J. ter; Rulkens, W.H.; Rijnaarts, H.H.M.

2005-01-01

A Health Index/Risk Evaluation Tool (HIRET) has been developed for the integration of risk assessment and spatial planning using GIS capabilities. The method is meant to assist decision makers and site owners in the evaluation of potential human health risk with respect to land use. Human health

A GIS-based approach for the long-term prediction of human health risks at contaminated sites

NARCIS (Netherlands)

Bien, J.D.; Meer, J.; Rulkens, W.H.; Rijnaarts, H.H.M.

2004-01-01

A Health Index/Risk Evaluation Tool (HIRET) has been developed for the integration of risk assessment and spatial planning using GIS capabilities. The method is meant to assist decision makers and site owners in the evaluation of potential human health risk with respect to land use. Human health

COSMO-SkyMed and GIS applications

Science.gov (United States)

Milillo, Pietro; Sole, Aurelia; Serio, Carmine

2013-04-01

Geographic Information Systems (GIS) and Remote Sensing have become key technology tools for the collection, storage and analysis of spatially referenced data. Industries that utilise these spatial technologies include agriculture, forestry, mining, market research as well as the environmental analysis . Synthetic Aperture Radar (SAR) is a coherent active sensor operating in the microwave band which exploits relative motion between antenna and target in order to obtain a finer spatial resolution in the flight direction exploiting the Doppler effect. SAR have wide applications in Remote Sensing such as cartography, surface deformation detection, forest cover mapping, urban planning, disasters monitoring , surveillance etc… The utilization of satellite remote sensing and GIS technology for this applications has proven to be a powerful and effective tool for environmental monitoring. Remote sensing techniques are often less costly and time-consuming for large geographic areas compared to conventional methods, moreover GIS technology provides a flexible environment for, analyzing and displaying digital data from various sources necessary for classification, change detection and database development. The aim of this work si to illustrate the potential of COSMO-SkyMed data and SAR applications in a GIS environment, in particular a demostration of the operational use of COSMO-SkyMed SAR data and GIS in real cases will be provided for what concern DEM validation, river basin estimation, flood mapping and landslide monitoring.

Technology integrated teaching in Malaysian schools: GIS, a SWOT analysis

Directory of Open Access Journals (Sweden)

Habibah Lateh, vasugiammai muniandy

2011-08-01

Full Text Available Geographical Information System (GIS has been introduced and widely used in schools in various countries. The year 1990 onwards, the implementation of GIS in schools showed an increase. This is due to the drastic changes and reforms in the education system. Even though the name GIS suits well to the Geography subject, but it is widely integrated in various subjects such as History, Chemistry, Physics and Science. In Malaysia, GIS is common in fields such as risk management, architecture, town planning and municipal department. Anyhow, it is still unknown in the school education system. Even upper secondary students are not familiar with GIS. The Ministry of Education in Malaysia has been continuously reforming the education towards the aim of creating a society based on economic fundamentals and knowledge. The Master Plan for Educational Development with the aim of developing individual potential with well-integrated and balanced education is already on field. Recently, Malaysia invested 18 % of the annual national budget towards upgrading its education system. The computer in education program started in 1999. Three hundred and twenty two schools were chosen as ‘break a way’ from conventional teaching method towards technology integrated teaching. Projects such as New Primary School Curriculum (KBSR, Integrated Secondary School Curriculum (KBSM, Smart School Project, School Access Centre were introduced constantly. Teacher as the cogwheel of innovations in schools were given courses in aim to develop their ICT knowledge and skill. To this date, the technology integration in subjects is not equal and it disperses through subjects. Geography is one of the ‘dry’ subjects in schools with less technology which is not preferable among students. Geographical Information System (GIS is foremost the best Geographical Information Technology (GIT to be implied in geography subject. In Malaysian Education System, GIS is still exposed just in papers

Applications and issues of GIS as tool for civil engineering modeling

Science.gov (United States)

Miles, S.B.; Ho, C.L.

1999-01-01

A tool that has proliferated within civil engineering in recent years is geographic information systems (GIS). The goal of a tool is to supplement ability and knowledge that already exists, not to serve as a replacement for that which is lacking. To secure the benefits and avoid misuse of a burgeoning tool, engineers must understand the limitations, alternatives, and context of the tool. The common benefits of using GIS as a supplement to engineering modeling are summarized. Several brief case studies of GIS modeling applications are taken from popular civil engineering literature to demonstrate the wide use and varied implementation of GIS across the discipline. Drawing from the case studies, limitations regarding traditional GIS data models find the implementation of civil engineering models within current GIS are identified and countered by discussing the direction of the next generation of GIS. The paper concludes by highlighting the potential for the misuse of GIS in the context of engineering modeling and suggests that this potential can be reduced through education and awareness. The goal of this paper is to promote awareness of the issues related to GIS-based modeling and to assist in the formulation of questions regarding the application of current GIS. The technology has experienced much publicity of late, with many engineers being perhaps too excited about the usefulness of current GIS. An undoubtedly beneficial side effect of this, however, is that engineers are becoming more aware of GIS and, hopefully, the associated subtleties. Civil engineers must stay informed of GIS issues and progress, but more importantly, civil engineers must inform the GIS community to direct the technology development optimally.

Development of a GIS approach to mining risk assessment. Supervising Scientist report 159

International Nuclear Information System (INIS)

Boggs, G.S.

2001-01-01

A Geographic Information System (GIS) offers a means by which the data collected during the assessment of possible mining impacts can be stored and manipulated. A GIS that provides a central focus point for the storage, manipulation and retrieval of information generated by the investigation into the geomorphological impact of the ERA Jabiluka Mine has been developed. Implementing a flexible, GIS-centred approach to data management allows the data storage, manipulation and retrieval powers of GIS to be retained whilst maintaining access to the functionality contained within these other software packages. The GIS has also been linked to the DistFW hydrology model and SIBERIA landform evolution model, to provide a more spatial approach to assessing the impact of mining on the long-term landform evolution of a catchment. A GIS based rapid erosion assessment method has been developed and evaluated. The method allows the user to quickly acquire and evaluate existing data to assist in the planning of more detailed monitoring, modelling and erosion assessment programs. The rapid erosion assessment method is based on a simplified version of the Revised Universal Soil Loss Equation (RUSLE), and allows the rapid parametrisation of the model from widely available land unit and elevation datasets. The rapid erosion assessment method is evaluated through the investigation of the effects of elevation data resolution on erosion predictions and field data validation. More detailed, quantitative risk assessment can be conducted using a combination of landform evolution modelling and basin analysis in a GIS framework. SIBERIA has been parameterized using field data from Ngarradj and applied to the catchment. Due to complexities of the catchment there were some difficulties with the hydrology component. However, the results indicate that SIBERIA is suitable and simulations showed little change in the catchment in the long term. Combining these with newly developed GIS tools to

Prediction of 6-year prognosis for cardiac event by thallium-201 single-photon emission computed tomography (SPECT) with treadmill exercise test

International Nuclear Information System (INIS)

Hayashi, Katsumi; Ohsuzu, Fumitaka; Kosuda, Shigeru; Nakamura, Haruo

1997-01-01

To examine thallium-201 single-photon emission computed tomography (SPECT) with a treadmill exercise test can predict the long-term prognosis of patients with coronary artery disease, 95 patients (71 men, 24 women) who underwent a treadmill exercise test with thallium-201 SPECT from April to December 1986 were followed for 6 years. Three short-axis slices at the apical, mid- and basal-level were selected, and each slice was divided into eight segments. Each segment count was assigned a score according to the count range in the slice (score 0, count range 76-100%; 1, 51-75%; 2, 26-50%; 3, 1-25%; 4, 0%) by evaluating the mean value of the slice. The total Tl defect score of each segment in 3 slices was summed (ΣTl defect score). The 'early ΣTl defect score' was the ΣTl defect score 5 min after treadmill exercise, and the 'late ΣTl defect score' was ΣTl defect score measured 4 h after treadmill exercise. Cardiac events occurred in 27 of the 95 patients: cardiac death 3; myocardial infarction 1; percutaneous transluminal angioplasty 16; coronary artery bypass graft 5; congestive heart failure 3. Univariate analysis showed that previous myocardial infarction (p<0.01), exercise work load (p<0.05), early ΣTl defect score (p<0.0l) and late ΣTl defect score (p<0.01) were independent predictors of the prognosis. These results suggest that thallium-201 SPECT with the treadmill exercise test could be applicable and useful to predict long term prognosis. (author)

Managing Data and ArcGIS

OpenAIRE

Farr, Lucy

2011-01-01

Glenn Jobson (CRASSH) produced and edited this video in collaboration with the Incremental project. ESRI's ArcGIS data, and other vector data system, are highly vulnerable to partial or complete data loss over time because as the company makes frequent software updates, and the data themselves have so many moving parts. In this presentation, Lucy Farr (McDonald Institute for Archaeological Research) describes her experiences using ArcGIS, lessons learnt, and recommendations for best practi...

Open Source GIS Connectors to NASA GES DISC Satellite Data

Science.gov (United States)

Kempler, Steve; Pham, Long; Yang, Wenli

2014-01-01

The NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) houses a suite of high spatiotemporal resolution GIS data including satellite-derived and modeled precipitation, air quality, and land surface parameter data. The data are valuable to various GIS research and applications at regional, continental, and global scales. On the other hand, many GIS users, especially those from the ArcGIS community, have difficulties in obtaining, importing, and using our data due to factors such as the variety of data products, the complexity of satellite remote sensing data, and the data encoding formats. We introduce a simple open source ArcGIS data connector that significantly simplifies the access and use of GES DISC data in ArcGIS.

A GIS based approach for the prediction of the dam break flood hazard – A case study of Zardezas reservoir “Skikda, Algeria”

Directory of Open Access Journals (Sweden)

Derdous Oussama

2015-12-01

Full Text Available The construction of dams in rivers can offer many advantages, however the consequences resulting from their failure could result in major damage, including loss of life and property destruction. To mitigate the threats of dam break it is essential to appreciate the characteristics of the potential flood in realistic manner. In this study an approach based on the integration of hydraulic modelling and GIS has been used to assess the risks resulting from a potential failure of Zardezas dam, a concrete dam located in Skikda, in the North East of Algeria. HEC-GeoRAS within GIS was used to extract geometric information from a digital elevation model and then imported into HEC-RAS. Flow simulation of the dam break was performed using HEC-RAS and results were mapped using the GIS. Finally, a flood hazard map based on water depth and flow velocity maps was created in GIS environment. According to this map the potential failure of Zardezas dam will place a large number in people in danger. The present study has shown that Application of Geographical Information System (GIS techniques in integration with hydraulic modelling can significantly reduce the time and the resources required to forecast potential dam break flood hazard which can play a crucial role in improving both flood disaster management and land use planning downstream of dams.

Does body fat percentage predict post-exercise heart rate response in non-obese children and adolescents?

Science.gov (United States)

Jezdimirovic, Tatjana; Stajer, Valdemar; Semeredi, Sasa; Calleja-Gonzalez, Julio; Ostojic, Sergej M

2017-05-24

A correlation between adiposity and post-exercise autonomic regulation has been established in overweight and obese children. However, little information exists about this link in non-obese youth. The main purpose of this cross-sectional study was to describe the relationship between body fat percentage (BFP) and heart rate recovery after exercise [post-exercise heart rate (PEHR)], a marker of autonomic regulation, in normal-weight children and adolescents. We evaluated the body composition of 183 children and adolescents (age 15.0±2.3 years; 132 boys and 51 girls) who performed a maximal graded exercise test on a treadmill, with the heart rate monitored during and immediately after exercise. A strong positive trend was observed in the association between BFP and PEHR (r=0.14; p=0.06). Hierarchical multiple regression revealed that our model explained 18.3% of the variance in PEHR (p=0.00), yet BFP accounted for only 0.9% of the variability in PEHR (p=0.16). The evaluation of the contribution of each independent variable revealed that only two variables made a unique statistically significant contribution to our model (pfatness seems to poorly predict PEHR in our sample of non-obese children and adolescents, while non-modifiable variables (age and gender) were demonstrated as strong predictors of heart rate recovery. The low amount of body fat reported in non-obese young participants was perhaps too small to cause disturbances in autonomic nervous system regulation.

Sport and exercise psychology in 2050

OpenAIRE

Raab, M

2017-01-01

Sport and exercise psychology by definition describes, explains, and predicts human behaviour. Yet exact predictions of human behaviour are more the exception than the rule and thus it is no wonder that sport and exercise psychologists are not able to predict very well who will be a talent or win a gold medal in 10 years. In the same vein, it is somewhat easier to describe scientific endeavours in hindsight or by analysis of the current state of affairs than to predict what a discipline will ...

Stress hormones at rest and following exercise testing predict coronary artery disease severity and outcome.

Science.gov (United States)

Popovic, Dejana; Damjanovic, Svetozar; Djordjevic, Tea; Martic, Dejana; Ignjatovic, Svetlana; Milinkovic, Neda; Banovic, Marko; Lasica, Ratko; Petrovic, Milan; Guazzi, Marco; Arena, Ross

2017-09-01

Despite considerable knowledge regarding the importance of stress in coronary artery disease (CAD) pathogenesis, its underestimation persists in routine clinical practice, in part attributable to lack of a standardized, objective assessment. The current study examined the ability of stress hormones to predict CAD severity and prognosis at basal conditions as well as during and following an exertional stimulus. Forty Caucasian subjects with significant coronary artery lesions (≥50%) were included. Within 2 months of coronary angiography, cardiopulmonary exercise testing (CPET) on a recumbent ergometer was performed in conjunction with stress echocardiography (SE). At rest, peak and after 3 min of recovery following CPET, plasma levels of cortisol, adrenocorticotropic hormone (ACTH) and NT-pro-brain natriuretic peptide (NT-pro-BNP) were measured by immunoassay sandwich technique, radioimmunoassay, and radioimmunometric technique, respectively. Subjects were subsequently followed a mean of 32 ± 10 months. Mean ejection fraction was 56.7 ± 9.6%. Subjects with 1-2 stenotic coronary arteries (SCA) demonstrated a significantly lower plasma cortisol levels during CPET compared to those with 3-SCA (p  .05). Among CPET, SE, and hormonal parameters, cortisol at rest and during CPET recovery demonstrated the best predictive value in distinguishing between 1-, 2-, and 3-SCA [area under ROC curve 0.75 and 0.77 (SE = 0.11, 0.10; p = .043, .04) for rest and recovery, respectively]. ΔCortisol peak/rest predicted cumulative cardiac events (area under ROC curve 0.75, SE = 0.10, p = .049). Cortisol at rest and following an exercise test holds predictive value for CAD severity and prognosis, further demonstrating a link between stress and unwanted cardiac events.

Exercise and diet determinants of overweight women participating in an exercise and diet program: a prospective examination of the theory of planned behavior.

Science.gov (United States)

Gardner, Rebecca Ellis; Hausenblas, Heather A

2005-01-01

The purpose of this study was to examine prospectively the ability of direct and belief-based measures of the theory of planned behavior (TPB) constructs to predict exercise and diet intention and behavior of overweight women. Participants were 117 overweight, community-dwelling women and university students enrolled in a 4-week exercise and diet program. Participants completed baseline measures of demographic characteristics and the TPB constructs. Their exercise and diet adherence were also recorded. We found that: (1) the direct measure of perceived behavioral control (PBC) predicted exercise intention, (2) the direct measures of instrumental attitude, subjective norm, and PBC predicted diet intention, and (3) none of the direct or belief-based measures of the TPB constructs predicted 4-week exercise or diet behavior. Furthermore, several beliefs were associated with the direct measures of attitude, subjective norm, PBC, and intention. Implications of these results for designing exercise and diet interventions with overweight women are discussed.

The social problems and strategies of the government GIS in China

Science.gov (United States)

Chen, Nan; Fu, Zhongliang

2007-06-01

GIS has wider and wider applications. The application in the field of administrative management and assistant decision-making have formed a specific research area--the government GIS. As an information industry with great sociality, GIS and its development are influenced by many technical factors and social factors. As for the government GIS in China, the social factors often play a more important role in it. A description of the current development status of the government GIS, both in China and abroad, was made in this paper. After the description, researchers pointed out the deficiency of Chinese government GIS. On the basis of this, the rational suggestion of government GIS in China were put forward at last.

Contextual effects on the perceived health benefits of exercise: the exercise rank hypothesis.

Science.gov (United States)

Maltby, John; Wood, Alex M; Vlaev, Ivo; Taylor, Michael J; Brown, Gordon D A

2012-12-01

Many accounts of social influences on exercise participation describe how people compare their behaviors to those of others. We develop and test a novel hypothesis, the exercise rank hypothesis, of how this comparison can occur. The exercise rank hypothesis, derived from evolutionary theory and the decision by sampling model of judgment, suggests that individuals' perceptions of the health benefits of exercise are influenced by how individuals believe the amount of exercise ranks in comparison with other people's amounts of exercise. Study 1 demonstrated that individuals' perceptions of the health benefits of their own current exercise amounts were as predicted by the exercise rank hypothesis. Study 2 demonstrated that the perceptions of the health benefits of an amount of exercise can be manipulated by experimentally changing the ranked position of the amount within a comparison context. The discussion focuses on how social norm-based interventions could benefit from using rank information.

Self-Compassion and the Self-Regulation of Exercise: Reactions to Recalled Exercise Setbacks.

Science.gov (United States)

Semenchuk, Brittany N; Strachan, Shaelyn M; Fortier, Michelle

2018-02-01

Self-compassion facilitates health behavior self-regulation; few studies have examined self-compassion and exercise. This online, cross-sectional study investigated self-compassion's relationship with exercise self-regulation of an exercise setback. Adults (N = 105) who had experienced an exercise setback within the last 6 months completed baseline measures, recalled an exercise setback, and completed questionnaires assessing self-regulation in this context. Self-compassion associated with self-determined motivations and exercise goal reengagement, and negatively related to extrinsic motivations, state rumination, and negative affect. Self-compassion predicted unique variance, beyond self-esteem, in exercise goal reengagement, external regulation, state rumination, and negative affect experienced after an exercise setback. Self-compassion and self-esteem had unique relationships with goal reengagement, state rumination, and situational motivation, while having a complementary relationship with negative affect. This research adds to the few studies that examine the role of self-compassion in exercise self-regulation by examining how self-compassion and self-esteem relate to reactions to a recalled exercise setback.

GIS and Cartography: An Introduction Overview

International Nuclear Information System (INIS)

Dominguez, J.

2000-01-01

This Technical Report concerns to some relevant concepts in Cartography and GIS. We will define terms and functions as scale, projection, cartographic syntaxes. We'll specify some Geographic Information, formats, sources... Finally, we will study about GIS applications and, specially, how CIEMAT is working with that, and what is the future of this technology. (Author) 71 refs

Application of geographical information system (GIS) for the preparedness for response to nuclear emergencies

International Nuclear Information System (INIS)

Chaudhury, Probal; Pradeepkumar, K.S.; Saindane, S.S.; Suri, M.M.K.; Sharma, D.N.

2005-01-01

As recommended by International Atomic Energy Agency (IAEA), preparedness for response to nuclear/radiological emergencies is essential for all nations including those not having nuclear facilities. Methodology and systems for quick assessment of radiological impact following any large scale radioactive release/contamination in the environment are already developed. Efforts are being made to provide Geographical Information System (GIS) support for enhancing the capability of quick decision making on the implementation of countermeasures and to strengthen the Emergency Preparedness Program. This requires development of the database of nuclear facilities, roads, buildings, agriculture land, population density and geolocating using geocoded addresses. GIS helps in the creation of custom maps that spatially show several data layers pertinent to the cities/area around the nuclear power plants. The GIS based software imports and spatially displays the predicted movement of radioactive plume and helps in the revision of emergency plans based on the periodic inputs from various systems and monitoring teams. These tools, allow the Emergency Response Centers to take decisions regarding the progress, success and future direction of response in large cities/complex sites. (author)

GIS in oceanography: Status, hurdles and prospects

Digital Repository Service at National Institute of Oceanography (India)

Kunte, P.D.

stream_size 5 stream_content_type text/plain stream_name Remote_Sens_GIS_Environ_Plan_1995_575.pdf.txt stream_source_info Remote_Sens_GIS_Environ_Plan_1995_575.pdf.txt Content-Encoding ISO-8859-1 Content-Type text/plain; charset...

Remote supervision of GIS monitoring system

Energy Technology Data Exchange (ETDEWEB)

Pannunzio, J.; Juge, P.; Ficheux, A.; Rayon, J.L. [Areva T and D Automation Canada Inc., Monteal, PQ (Canada)

2007-07-01

Operators of gas-insulated substations (GIS) are increasingly concerned with failure prevention, scheduled maintenance, personnel safety and shortage of maintenance crews. Until recently, the density levels of the insulating gas sulfur hexafluoride (SF6) was the only parameter controlled in gas-insulated substations. Modern digital type control and monitoring equipment have been widely used in the past decade. Remote indication of gas density and status of dynamic components was made possible and shown on local control panels. Modern GIS monitoring systems offer features such as SF6 monitoring, SF6 leakage trends, internal arc localization and detection. The required information is recorded in a local computer and displaced onto a local human machine interface (HMI) or a local industrial PC mounted next to the GIS. These monitoring systems are used as decision making tools to facilitate maintenance activities and optimize the management of assets. This paper presented the latest developments in digital monitoring systems in terms of modern digital architecture; management of information flows between monitoring systems and control systems; operation of remote supervision; configuration of high voltage substations and information sharing; and, types of links between GIS room and remote supervision. This paper also demonstrated what can be achieved by moving the central HMI of a GIS monitoring system to the decision-making centres. It was shown that integrated features that allow remote on-line or automated management have reached an acceptable level of reliability and comfort for operators. 5 figs.

Validation and Refinement of Prediction Models to Estimate Exercise Capacity in Cancer Survivors Using the Steep Ramp Test

NARCIS (Netherlands)

Stuiver, Martijn M.; Kampshoff, Caroline S.; Persoon, Saskia; Groen, Wim; van Mechelen, Willem; Chinapaw, Mai J. M.; Brug, Johannes; Nollet, Frans; Kersten, Marie-José; Schep, Goof; Buffart, Laurien M.

2017-01-01

Objective: To further test the validity and clinical usefulness of the steep ramp test (SRT) in estimating exercise tolerance in cancer survivors by external validation and extension of previously published prediction models for peak oxygen consumption (Vo2(peak)) and peak power output (W-peak).&

Bogen om GIS og geodata

DEFF Research Database (Denmark)

Balstrøm, Thomas; Jacobi, Ole; Bodum, Lars

OM INDHOLDET: Kort har gennem århundreder været brugt til at afbilde fænomener på vores runde Jord på papir, men i dagens IT-samfund håndteres de i computere ved brug af geografiske informationssystemer - forkortet GIS. I dem er det for eksempel muligt at koble kortinformationer med registeroplys......OM INDHOLDET: Kort har gennem århundreder været brugt til at afbilde fænomener på vores runde Jord på papir, men i dagens IT-samfund håndteres de i computere ved brug af geografiske informationssystemer - forkortet GIS. I dem er det for eksempel muligt at koble kortinformationer med...... kriterier osv. I systemerne findes der også værktøjer til beregning af korteste vej i vejnetværk og analyser på cellebaserede data som eksempelvis digitale højdemodeller. I denne første dansksprogede lærebog gives der en introduktion til de basale begreber i forståelsen af GIS eksemplificeret ved fokus på...... geodata i databaser, analysemetoder, kartografiske principper, metadata (data om data) og udvalgte eksempler på geodata til brug for den offentlige forvaltning, private virksomheder og borgere. Bogen afrundes med en perspektivering om mulighederne i fremtidens brug af GIS og geodata, som desværre ikke har...

A Spatially Explicit Approach for Sensitivity and Uncertainty Analysis of GIS-Multicriteria Landslide Susceptibility Mapping. GI_Forum 2013 – Creating the GISociety|

OpenAIRE

Feizizadeh, Bakhtiar; Jankowski, Piotr; Blaschke, Thomas

2016-01-01

GIS multicriteria decision analysis (MCDA) methods are increasingly being used in landslide susceptibility mapping for the prediction of future hazards, decision making, as well as hazard mitigation plans. However, the uncertainties associated with MCDA techniques are inevitable and model outcomes are prone to multiple types of uncertainty. In this paper, the spatiality explicitly method is employed to assess the uncertainty associated with two methods of GIS-MCDA namely, Analytical Hierarchi...

Środowisko programowe Microstation dla celów GIS

OpenAIRE

Kunz, Mieczysław

2001-01-01

Praca przedstawia środowisko programowe MicroStation – historię jego rozwoju, strukturę oraz opisuje wybrane aplikacje dla zastosowań GIS/SIT. Na Wydziale BiNoZ UMK jest on stosowany do tworzenia map i systemów GIS dla wybranych obszarów Borów Tucholskich i Kujaw. Paper presents the MicroStation software – the history of its evolution, structure and description of the extension for GIS/SIT applications. Its applied for the map creation and GIS for selected region of Bory Tucholskie and K...

A GIS tool for the economic assessment of renewable technologies

International Nuclear Information System (INIS)

Mahmmud, F.; Woods, J.; Watson, S.; Halliday, J.; Hossain, J.

1997-01-01

A Geographical Information System (GIS) has the potential to analyse a large area for the optimum selection and siting of renewable energy systems. This paper reports on a GIS based scheme for the economic assessment of a selected number of wind and photovoltaic systems in the state of Karnataka, in India. This involved the implementation of an appropriate GIS methodology. The preparation of the GIS database is often the most arduous task in GIS operations. Thus, a description of the GIS methodology and the preparation of the database for the analysis of a selection of wind and photovoltaic systems is given. This approach has enabled the identification of the high potential areas in terms of the levelised electricity costs. An overall assessment of the region for present and future scenarios is also given. (author)

Identifying Skill Requirements for GIS Positions: A Content Analysis of Job Advertisements

Science.gov (United States)

Hong, Jung Eun

2016-01-01

This study identifies the skill requirements for geographic information system (GIS) positions, including GIS analysts, programmers/developers/engineers, specialists, and technicians, through a content analysis of 946 GIS job advertisements from 2007-2014. The results indicated that GIS job applicants need to possess high levels of GIS analysis…

Evaluation of AirGIS: a GIS-based air pollution and human exposure modelling system

DEFF Research Database (Denmark)

Ketzel, Matthias; Berkowicz, Ruwim; Hvidberg, Martin

2011-01-01

This study describes in brief the latest extensions of the Danish Geographic Information System (GIS)-based air pollution and human exposure modelling system (AirGIS), which has been developed in Denmark since 2001 and gives results of an evaluation with measured air pollution data. The system...... shows, in general, a good performance for both long-term averages (annual and monthly averages), short-term averages (hourly and daily) as well as when reproducing spatial variation in air pollution concentrations. Some shortcomings and future perspectives of the system are discussed too....

BUILDING A GIS DATABASE FOR A TYPICAL URBAN SETTING v(A ...

African Journals Online (AJOL)

Ada

2009-08-28

Aug 28, 2009 ... REFERENCES. Anderson. D,, 1992. GIS Supports Garbage Hauler. Franchising. GIS World 5. (5): Longman. Group. ESRI, 1996. Introduction to ArcView GIS. An. ArcView User's manual by Environmental. Systems Research Institute (ESRI). Redlands CA, USA. ESRI, 1990. Understanding GIS – The Arc/Info.

The application of geographic information system (GIS) in forensics geoscience

OpenAIRE

McKinley, Jennifer

2017-01-01

Advances in technological developments in Geographic Information Systems (GIS) has enabled the application of GIS in landscape mapping, environmental management, natural hazard risk and disaster management. As geographi- cal information becomes more widely available through satel- lite and aerial imagery, the cost of software decreases and GIS expertise expands, it is most likely that the use of GIS will increase. The methodology has practical applications for police, crime scene investigator...

Examining the moderating effect of depressive symptoms on the relation between exercise and self-efficacy during the initiation of regular exercise.

Science.gov (United States)

Kangas, Julie L; Baldwin, Austin S; Rosenfield, David; Smits, Jasper A J; Rethorst, Chad D

2015-05-01

People with depressive symptoms report lower levels of exercise self-efficacy and are more likely to discontinue regular exercise than others, but it is unclear how depressive symptoms affect the relation between exercise and self-efficacy. We sought to clarify whether depressive symptoms moderate the relations between exercise and same-day self-efficacy, and between self-efficacy and next-day exercise. Participants (n = 116) were physically inactive adults (35% reported clinically significant depressive symptoms) who initiated regular exercise and completed daily assessments for 4 weeks. Mixed linear models were used to test whether (a) self-efficacy differed on days when exercise did and did not occur, (b) self-efficacy predicted next-day exercise, and (c) these relations were moderated by depressive symptoms. First, self-efficacy was lower on days when no exercise occurred, but this difference was larger for people with high depressive symptoms (p self-efficacy than people with low depressive symptoms on days when no exercise occurred (p = .03), but self-efficacy did not differ on days when exercise occurred (p = .34). Second, self-efficacy predicted greater odds of next-day exercise, OR = 1.12, 95% [1.04, 1.21], but depressive symptoms did not moderate this relation, OR = 1.00, 95% CI [.99, 1.01]. During exercise initiation, daily self-efficacy is more strongly related to exercise occurrence for people with high depressive symptoms than those with low depressive symptoms, but self-efficacy predicts next-day exercise regardless of depressive symptoms. The findings specify how depressive symptoms affect the relations between exercise and self-efficacy and underscore the importance of targeting self-efficacy in exercise interventions, particularly among people with depressive symptoms. (PsycINFO Database Record (c) 2015 APA, all rights reserved).

Integrating 3D Visualization and GIS in Planning Education

Science.gov (United States)

Yin, Li

2010-01-01

Most GIS-related planning practices and education are currently limited to two-dimensional mapping and analysis although 3D GIS is a powerful tool to study the complex urban environment in its full spatial extent. This paper reviews current GIS and 3D visualization uses and development in planning practice and education. Current literature…

GIS-based assessment of landslide susceptibility using certainty ...

Indian Academy of Sciences (India)

tion systems (GIS) using different models. Many of these ... as spatial multicriteria decision analysis (MCDA) approach ... 2013), support vec- ... Landslide susceptibility assessment using mathematical methods in GIS, Qianyang China 1401.

GIS technology in regional recognition of the distribution pattern of multifloral honey: The chemical traits in Serbia

Directory of Open Access Journals (Sweden)

Radović D.I.

2014-01-01

Full Text Available GIS is a computer-based system to input, store, manipulate, analyze and output spatially referenced data. There is a huge range application of GIS that generally sets out to fulfill: mapping, measurement, monitoring, modeling and management. In this study, GIS technology was used for the regional recognition of origin and distribution patterns of multifloral honey chemical traits in Serbia. This included organizing and analyzing the spatial and attributive data of 164 honey samples collected from different regions of Serbia during the harvesting season of 2009. Multifloral honey was characterized in regards to mineral composition, sugar content and basic physicochemical properties. The kriging method of Geostatistical Analyst was used for interpolation to predict values of a sampled variable over the whole territory of Serbia. [Projekat Ministarstva nauke Republike Srbije, br. III 46002, OI 172017 and 451-03-2372-IP Type 1/107

Towards a Public Sector GIS Evaluation Methodology | Kurwakumire ...

African Journals Online (AJOL)

Towards a Public Sector GIS Evaluation Methodology. ... AFRICAN JOURNALS ONLINE (AJOL) · Journals · Advanced Search · USING AJOL · RESOURCES ... However, evaluation methodologies for public sector GIS are largely lacking.

Computer-based instrumentation for partial discharge detection in GIS

International Nuclear Information System (INIS)

Md Enamul Haque; Ahmad Darus; Yaacob, M.M.; Halil Hussain; Feroz Ahmed

2000-01-01

Partial discharge is one of the prominent indicators of defects and insulation degradation in a Gas Insulated Switchgear (GIS). Partial discharges (PD) have a harmful effect on the life of insulation of high voltage equipment. The PD detection using acoustic technique and subsequent analysis is currently an efficient method of performing non-destructive testing of GIS apparatus. A low cost PC-based acoustic PD detection instrument has been developed for the non-destructive diagnosis of GIS. This paper describes the development of a PC-based instrumentation system for partial discharge detection in GIS and some experimental results have also presented. (Author)

Social Cognitive Theory Predictors of Exercise Behavior in Endometrial Cancer Survivors

Science.gov (United States)

Basen-Engquist, Karen; Carmack, Cindy L.; Li, Yisheng; Brown, Jubilee; Jhingran, Anuja; Hughes, Daniel C.; Perkins, Heidi Y.; Scruggs, Stacie; Harrison, Carol; Baum, George; Bodurka, Diane C.; Waters, Andrew

2014-01-01

Objective This study evaluated whether social cognitive theory (SCT) variables, as measured by questionnaire and ecological momentary assessment (EMA), predicted exercise in endometrial cancer survivors. Methods One hundred post-treatment endometrial cancer survivors received a 6-month home-based exercise intervention. EMAs were conducted using hand-held computers for 10- to 12-day periods every 2 months. Participants rated morning self-efficacy and positive and negative outcome expectations using the computer, recorded exercise information in real time and at night, and wore accelerometers. At the midpoint of each assessment period participants completed SCT questionnaires. Using linear mixed-effects models, we tested whether morning SCT variables predicted minutes of exercise that day (Question 1) and whether exercise minutes at time point Tj could be predicted by questionnaire measures of SCT variables from time point Tj-1 (Question 2). Results Morning self-efficacy significantly predicted that day’s exercise minutes (pexercise minutes (p=0.0003), but the relationship was attenuated when self-efficacy was included in the model (p=0.4032). Morning negative outcome expectations was not associated with exercise minutes. Of the questionnaire measures of SCT variables, only exercise self-efficacy predicted exercise at the next time point (p=0.003). Conclusions The consistency of the relationship between self-efficacy and exercise minutes over short (same day) and longer (Tj to Tj-1) time periods provides support for a causal relationship. The strength of the relationship between morning self-efficacy and exercise minutes suggest that real-time interventions that target daily variation in self-efficacy may benefit endometrial cancer survivors’ exercise adherence. PMID:23437853

Appennino: A GIS Tool for Analyzing Wildlife Habitat Use

Directory of Open Access Journals (Sweden)

Marco Ferretti

2012-01-01

Full Text Available The aim of the study was to test Appennino, a tool used to evaluate the habitats of animals through compositional analysis. This free tool calculates an animal’s habitat use within the GIS platform for ArcGIS and saves and exports the results of the comparative land uses to other statistical software. Visual Basic for Application programming language was employed to prepare the ESRI ArcGIS 9.x utility. The tool was tested on a dataset of 546 pheasant positions obtained from a study carried out in Tuscany (Italy. The tool automatically gave the same results as the results obtained by calculating the surfaces in ESRI ArcGIS, exporting the data from the ArcGIS, then using a commercial spreadsheet and/or statistical software to calculate the animal’s habitat use with a considerable reduction in time.

Exercise identity as a risk factor for exercise dependence.

Science.gov (United States)

Murray, Aja L; McKenzie, Karen; Newman, Emily; Brown, Erin

2013-05-01

The aim of the study was to explore the relationship between exercise identity and exercise dependence. We hypothesized that stronger exercise identities would be associated with greater odds of experiencing exercise dependence symptoms. Logistic regression was used to assess the extent of association between exercise identity and the risk of experiencing exercise dependence symptoms. Participants (101) were recruited online via sports clubs and social networking sites and were asked to complete online measures of exercise identity and exercise dependence. The overall model fit was a significant improvement on the baseline model, but only the exercise beliefs factor was significantly associated with the odds of dependence symptoms, with higher scores on the belief scale predicting greater odds of experiencing dependence symptoms. Exercise role identity, in contrast, was not significantly associated with odds of experiencing dependence symptoms. Per cent correct classification was 55.9% for asymptomatic and 88.2% for symptomatic individuals and the overall per cent correct classification was 77.5%. The relation between identity and dependence could represent both a fruitful research avenue and a potential therapeutic target for those experiencing dependence symptoms; although our findings only showed a relationship between one of the two factors of the exercise identity measure and dependence. Longitudinal research is required to examine the relationship between identity and dependence in the context of other variables to better understand why some individuals become exercise dependent whereas others do not. What is already known on this subject? Exercise identity has been identified as an important determinant of exercise behaviour and studies within the exercise identity framework have proven elucidative with respect to the psychological processes that may underpin commitment to exercise. It has separately been established that some individuals may become

The research and implementation of coalfield spontaneous combustion of carbon emission WebGIS based on Silverlight and ArcGIS server

International Nuclear Information System (INIS)

Zhu, Z; Bi, J; Wang, X; Zhu, W

2014-01-01

As an important sub-topic of the natural process of carbon emission data public information platform construction, coalfield spontaneous combustion of carbon emission WebGIS system has become an important study object. In connection with data features of coalfield spontaneous combustion carbon emissions (i.e. a wide range of data, which is rich and complex) and the geospatial characteristics, data is divided into attribute data and spatial data. Based on full analysis of the data, completed the detailed design of the Oracle database and stored on the Oracle database. Through Silverlight rich client technology and the expansion of WCF services, achieved the attribute data of web dynamic query, retrieval, statistical, analysis and other functions. For spatial data, we take advantage of ArcGIS Server and Silverlight-based API to invoke GIS server background published map services, GP services, Image services and other services, implemented coalfield spontaneous combustion of remote sensing image data and web map data display, data analysis, thematic map production. The study found that the Silverlight technology, based on rich client and object-oriented framework for WCF service, can efficiently constructed a WebGIS system. And then, combined with ArcGIS Silverlight API to achieve interactive query attribute data and spatial data of coalfield spontaneous emmission, can greatly improve the performance of WebGIS system. At the same time, it provided a strong guarantee for the construction of public information on China's carbon emission data

The Changing Nature of GIS and the Provision of Formal GIS Education in the UK: A Case Study

Science.gov (United States)

Walford, Nigel

2017-01-01

The arrival of the term Geographical Information System (GIS) in the 1960s soon created a demand for training and education in the use of this specialist hardware and software. Initially the main focus was on training people to use GIS, formal named degree programmes leading to postgraduate and undergraduate qualifications arrived later. This…

From Workshop to Classroom: Bridging GIS Success

Science.gov (United States)

Stonier, Francis; Hong, Jung Eun

2016-01-01

This article shares the first-time geographic information system (GIS) experiences of two advanced placement human geography classes. The teacher had participated in a summer GIS workshop and then brought those skills into her classroom for the students' benefit. Eighteen students shared their experiences researching their family history, working…

GIS risk analysis of hazardous materials transport

International Nuclear Information System (INIS)

Anders, C.; Olsten, J.

1991-01-01

The Geographic Information System (GIS) was used to assess the risks and vulnerability of transporting hazardous materials and wastes (such as gasoline, explosives, poisons, etc) on the Arizona highway system. This paper discusses the methodology that was utilized, and the application of GIS systems to risk analysis problems

Self-regulation of Exercise Behavior in the TIGER Study

Science.gov (United States)

Dishman, Rod K.; Jackson, Andrew S.; Bray, Molly S.

2014-01-01

Objective To test experiential and behavioral processes of change as mediators of the prediction of exercise behavior by two self-regulation traits, self-efficacy and self-motivation, while controlling for exercise enjoyment. Methods Structural equation modeling was applied to questionnaire responses obtained from a diverse sample of participants. Objective measures defined adherence (928 of 1279 participants attended 80% or more of sessions) and compliance (867 of 1145 participants exercised 30 minutes or more each session at their prescribed heart rate). Results Prediction of attendance by self-efficacy (inversely) and self-motivation was direct and also indirect, mediated through positive relations with the typical use of behavioral change processes. Enjoyment and self-efficacy (inversely) predicted compliance with the exercise prescription. Conclusions The results support the usefulness of self-regulatory behavioral processes of the Transtheoretical Model for predicting exercise adherence, but not compliance, extending the supportive evidence for self-regulation beyond self-reports of physical activity used in prior observational studies. PMID:24311018

FY 1999 basic survey of coal resource development. Coal GIS survey; 1999 nendo sekitan shigen kaihatsu kiso chosa. Sekitan GIS chosa

Energy Technology Data Exchange (ETDEWEB)

NONE

2000-03-01

The purpose of this survey is to construct a comprehensive coal field assessment technology system which can promptly cope with any natural conditions/geological situations of coal field. As to the GIS (geographical information system) which can unifiedly manage/analyze various data being used in other fields, survey was conducted of present situations/technology trends of the resource related GIS, and at the same time the survey is aimed at applying it to the coal resource field. In the survey in this fiscal year, based on the survey made in FY 1998, applicability of GIS function was verified for Australia where the coal GIS is prepared. And the fundamental design was made to construct a coal GIS considered of concrete application in the stage of coal resource exploration and resource assessment. In the fundamental design, prototypes of individual functions of the system were made. Making the analysis using the actual data, expansion and complication of the system size were advanced step by step toward the completion of the system. Such prototypical development method was adopted. (NEDO)

The relationship between exercise schema and identity

NARCIS (Netherlands)

Berry, T.R.; Strachan, S.M.; Verkooijen, K.T.

2013-01-01

This research examined the relationship between exercise-related schemas and identity and their unique contributions in predicting exercise-related cognitions and behaviour. Analyses were conducted on data from two studies that used the same measures of exercise schema and identity but differed on

Quantitative methods and socio-economic applications in GIS

CERN Document Server

Wang, Fahui

2014-01-01

GIS AND BASIC SPATIAL ANALYSIS TASKSGetting Started with ArcGIS: Data Management and Basic Spatial Analysis ToolsSpatial and Attribute Data Management in ArcGISSpatial Analysis Tools in ArcGIS: Queries, Spatial Joins, and Map OverlaysCase Study 1: Mapping and Analyzing Population Density Pattern in Baton Rouge, LouisianaSummaryIdentifying Contiguous Polygons by Spatial Analysis ToolsMeasuring Distance and TimeMeasures of DistanceComputing Network Distance and TimeThe Distance Decay RuleCase Study 2: Computing Distances and Tra

GIS-based rare events logistic regression for mineral prospectivity mapping

Science.gov (United States)

Xiong, Yihui; Zuo, Renguang

2018-02-01

Mineralization is a special type of singularity event, and can be considered as a rare event, because within a specific study area the number of prospective locations (1s) are considerably fewer than the number of non-prospective locations (0s). In this study, GIS-based rare events logistic regression (RELR) was used to map the mineral prospectivity in the southwestern Fujian Province, China. An odds ratio was used to measure the relative importance of the evidence variables with respect to mineralization. The results suggest that formations, granites, and skarn alterations, followed by faults and aeromagnetic anomaly are the most important indicators for the formation of Fe-related mineralization in the study area. The prediction rate and the area under the curve (AUC) values show that areas with higher probability have a strong spatial relationship with the known mineral deposits. Comparing the results with original logistic regression (OLR) demonstrates that the GIS-based RELR performs better than OLR. The prospectivity map obtained in this study benefits the search for skarn Fe-related mineralization in the study area.

The role of habit in different phases of exercise.

Science.gov (United States)

Kaushal, Navin; Rhodes, Ryan E; Meldrum, John T; Spence, John C

2017-09-01

The primary purpose of this study was to investigate how habit strength in a preparatory and performance phase predicts exercise while accounting for intention. The secondary purpose was to determine the strength of potential habit antecedents (affective judgement, perceived behavioural control, consistency, and cues) in both exercise phases. This was a prospective study with measures collected at baseline and week 6. Participants (n = 181) were a sample of adults (18-65) recruited across nine gyms and recreation centres who completed baseline and follow-up questionnaires after 6 weeks. Intention (β = .28, p = .00) and habit preparation (β = .20, p = .03), predicted exercise, and change of exercise with coefficients of β = .25, (p = .00) and β = .18, (p = .04), respectively, across 6 weeks but not habit performance (p>.05). This study highlighted the distinction between the two phases of exercise and the importance of preparatory habit in predicting behaviour. Focusing on a consistent preparatory routine could be helpful in establishing an exercise habit. Statement of contribution What is already known on this subject? A recent meta-analysis found habit to correlate r = .43 with behaviour (Gardner, de Bruijn, & Lally, ). Verplanken and Melkevik () propose that habit in exercise should be measured in separate components. Phillips and Gardner () interpreted this as habitual instigation (thought) to exercise and execution. What does this study add? Extended pervious work and identified two distinct behavioural phases (preparation and performance) for exercise. Habit model revealed that temporal consistency was the strongest predictor in both phases of exercise. Intention and habit of preparatory behaviour predicted exercise fluctuations in gym members. © 2017 The British Psychological Society.

Clarifying the contribution of subjective norm to predicting leisure-time exercise.

Science.gov (United States)

Okun, Morris A; Karoly, Paul; Lutz, Rafer

2002-01-01

To clarify the contribution of subjective norm to exercise intention and behavior by considering the influence of descriptive as well as injunctive social norms related to family and friends. A sample of 530 college students completed a questionnaire that assessed descriptive and injunctive social norms related to family and to friends, perceived behavioral control, attitude, intention, and leisure-time exercise. Friend descriptive social norm was a significant predictor of both intention (pleisure-time exercise (p<.001). Descriptive norms should be incorporated into tests of the theory of planned behavior in the exercise domain.

Data Driven Program Planning for GIS Instruction

Science.gov (United States)

Scarletto, Edith

2013-01-01

This study used both focus groups (qualitative) and survey data (quantitative) to develop and expand an instruction program for GIS services. It examined the needs and preferences faculty and graduate students have for learning about GIS applications for teaching and research. While faculty preferred in person workshops and graduate students…

Il GIS sulle note di violino

Directory of Open Access Journals (Sweden)

Redazione Redazione

2005-02-01

Full Text Available La conferenza della comunità GIS italiana senza ombra di dubbio può essere assimilata alla annuale conferenza degli Utenti ESRI, che per presenza e temi non ha eguali ne come appuntamento nè come presenze. Non ce ne vogliano gli altri players delle tecnologie GIS, nè tanto meno gli organizzatori di altre conferenze nazionali quale ASITA

Freeware for GIS and Remote Sensing

OpenAIRE

Lena Halounová

2007-01-01

Education in remote sensing and GIS is based on software utilization. The software needs to be installed in computer rooms with a certain number of licenses. The commercial software equipment is therefore financially demanding and not only for universities, but especially for students. Internet research brings a long list of free software of various capabilities. The paper shows a present state of GIS, image processing and remote sensing free software.

A Review on the Application of GIS in Land Use Planning

OpenAIRE

CHE, Wentao; ABE, Daishu; MASUDA, Noboru; SHIMOMURA, Yasuhiko; YAMAMOTO, Satoshi

1995-01-01

In the last decade, we have seen the rapid development of GIS methods that are capable of being applied to land use planning. This paper tries to give a general review on the past and the near future of GIS applications in this area by the following steps. Firstly, a brief definition of land use planning and GIS, and the reasons why GIS are so widely used in land use planning are presented. Secondly, the history of GIS development in the past three decades is briefly considered. Thirdly, some...

Peak Exercise Oxygen Uptake Predicts Recurrent Admissions in Heart Failure With Preserved Ejection Fraction.

Science.gov (United States)

Palau, Patricia; Domínguez, Eloy; Núñez, Eduardo; Ramón, José María; López, Laura; Melero, Joana; Sanchis, Juan; Bellver, Alejandro; Santas, Enrique; Bayes-Genis, Antoni; Chorro, Francisco J; Núñez, Julio

2018-04-01

Heart failure with preserved ejection fraction (HFpEF) is a highly prevalent syndrome with an elevated risk of morbidity and mortality. To date, there is scarce evidence on the role of peak exercise oxygen uptake (peak VO 2 ) for predicting the morbidity burden in HFpEF. We sought to evaluate the association between peak VO 2 and the risk of recurrent hospitalizations in patients with HFpEF. A total of 74 stable symptomatic patients with HFpEF underwent a cardiopulmonary exercise test between June 2012 and May 2016. A negative binomial regression method was used to determine the association between the percentage of predicted peak VO 2 (pp-peak VO 2 ) and recurrent hospitalizations. Risk estimates are reported as incidence rate ratios. The mean age was 72.5 ± 9.1 years, 53% were women, and all patients were in New York Heart Association functional class II to III. Mean peak VO 2 and median pp-peak VO 2 were 10 ± 2.8mL/min/kg and 60% (range, 47-67), respectively. During a median follow-up of 276 days [interquartile range, 153-1231], 84 all-cause hospitalizations in 31 patients (41.9%) were registered. A total of 15 (20.3%) deaths were also recorded. On multivariate analysis, accounting for mortality as a terminal event, pp-peak VO 2 was independently and linearly associated with the risk of recurrent admission. Thus, and modeled as continuous, a 10% decrease of pp-peak VO 2 increased the risk of recurrent hospitalizations by 32% (IRR, 1.32; 95%CI, 1.03-1.68; P = .028). In symptomatic elderly patients with HFpEF, pp-peak VO 2 predicts all-cause recurrent admission. Copyright © 2017 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.

Exercise and sleep predict personal resources in employees' daily lives.

Science.gov (United States)

Nägel, Inga J; Sonnentag, Sabine

2013-11-01

The present study investigates the interaction of exercise and sleep on state-like personal resources in employees' daily lives. Further, the study examines the association between state-like personal resources and emotional exhaustion. We conducted a diary study over five consecutive working days (total of 443 days) with 144 employees who answered daily online surveys after work and before bedtime. Multilevel modeling showed that exercise after work was positively related to the next day's personal resources when sleep duration during the night time was longer compared to other nights. Furthermore, personal resources positively related to lower emotional exhaustion after work on the next day. This study demonstrates that exercise and sleep may help to renew personal resources. Results stress the importance of balancing exercise and sleep in daily life. © 2013 The International Association of Applied Psychology.

An Approach to Teaching Applied GIS: Implementation for Local Organizations.

Science.gov (United States)

Benhart, John, Jr.

2000-01-01

Describes the instructional method, Client-Life Cycle GIS Project Learning, used in a course at Indiana University of Pennsylvania that enables students to learn with and about geographic information system (GIS). Discusses the course technical issues in GIS and an example project using this method. (CMK)

GISMOVA. GIS-baseret moniteringsstrategi i vandforsyningen. 2. del - Vejledning

OpenAIRE

Larsen, Sille Lyster; Christensen, Sarah Christine Boesgaard; Albrechtsen, Hans-Jørgen; Rygaard, Martin

2015-01-01

GISMOVA - GIS-baseret MOniteringsstrategi i VAndforsyningen – er en GIS-baseret analysemetode til at udpege prøvetagningssteder, til kontrol af drikkevandskvalitet i vandforsyningens distributionssystem. Første del: GISMOVA - GIS-baseret Moniteringsstrategi i Vandforsyningen. 1. del - Introduktion, baggrund og metode, beskriver baggrunden for GISMOVA, samt sammenfatning og inspiration til metoden (Larsen et al. 2015). Denne 2. del demonstrerer GISMOVA, anvendt på VandCenter Syds (VCS) distrib...

The visual impact of Taff Ely wind farm - a case study using GIS

International Nuclear Information System (INIS)

Kidner, D.B.

1997-01-01

This paper describes a project being undertaken to validate the performance of a Geographical Information System (GIS) being developed to predict, quantify and qualify the visual impact of proposed wind farm developments. In order to determine the optimal choice of terrain data model, elevation and topographic data sets, and visibility algorithms, a validation study for the Taff Ely Wind Farm has been commissioned. The issues involved in calculating and presenting visual impact are discussed, whilst a methodology for verifying the results is also described. Existing methods for presenting for visual impact of wind farms are limited and susceptible to error, whilst the interpretation of the results can often do more harm than good. The use of GIS to visualise the probable impacts is illustrated to add meaning to the results of a wind farm visibility study. (author)

A geographic approach to modelling human exposure to traffic air pollution using GIS

Energy Technology Data Exchange (ETDEWEB)

Solvang Jensen, S.

1998-10-01

A new exposure model has been developed that is based on a physical, single media (air) and single source (traffic) micro environmental approach that estimates traffic related exposures geographically with the postal address as exposure indicator. The micro environments: residence, workplace and street (road user exposure) may be considered. The model estimates outdoor levels for selected ambient air pollutants (benzene, CO, NO{sub 2} and O{sub 3}). The influence of outdoor air pollution on indoor levels can be estimated using average (I/O-ratios. The model has a very high spatial resolution (the address), a high temporal resolution (one hour) and may be used to predict past, present and future exposures. The model may be used for impact assessment of control measures provided that the changes to the model inputs are obtained. The exposure model takes advantage of a standard Geographic Information System (GIS) (ArcView and Avenue) for generation of inputs, for visualisation of input and output, and uses available digital maps, national administrative registers and a local traffic database, and the Danish Operational Street Pollution Model (OSPM). The exposure model presents a new approach to exposure determination by integration of digital maps, administrative registers, a street pollution model and GIS. New methods have been developed to generate the required input parameters for the OSPM model: to geocode buildings using cadastral maps and address points, to automatically generate street configuration data based on digital maps, the BBR and GIS; to predict the temporal variation in traffic and related parameters; and to provide hourly background levels for the OSPM model. (EG) 109 refs.

Visualizing Opportunities: GIS Skills for Retail Marketing

Science.gov (United States)

Wu, Peter Y.; Rathswohl, Eugene

2011-01-01

Business students need to develop skills in the intelligent use of information, especially spatial information, for decision-making. Geographic Information System (GIS) is a viable tool for that purpose. Yet the few GIS courses in the Information Systems curriculum offered in various business schools tend to focus on different concepts and skills.…

SVM-based Partial Discharge Pattern Classification for GIS

Science.gov (United States)

Ling, Yin; Bai, Demeng; Wang, Menglin; Gong, Xiaojin; Gu, Chao

2018-01-01

Partial discharges (PD) occur when there are localized dielectric breakdowns in small regions of gas insulated substations (GIS). It is of high importance to recognize the PD patterns, through which we can diagnose the defects caused by different sources so that predictive maintenance can be conducted to prevent from unplanned power outage. In this paper, we propose an approach to perform partial discharge pattern classification. It first recovers the PRPD matrices from the PRPD2D images; then statistical features are extracted from the recovered PRPD matrix and fed into SVM for classification. Experiments conducted on a dataset containing thousands of images demonstrates the high effectiveness of the method.

Impact assessment of rainfall-vegetation on sedimentation and predicting erosion-prone region by GIS and RS

Directory of Open Access Journals (Sweden)

Mahboob Alam

2016-03-01

Full Text Available Water reservoirs are facing universal sedimentation problems worldwide. Land covers, whether natural or manmade, eventually change, and the vegetation cover and rainfall have a great effect on the sediment load. Traditional techniques for analysing this problem are time-consuming and spatially limited. Remote sensing (RS provides a convenient way to observe land cover changes, and geographic information system (GIS provides tools for geographic analysis. This study demonstrates a GIS-based methodology for calculating the impact of vegetation and rainfall on the sediment load using remotely sensed data. Moderate resolution imaging spectroradiometer data were used to observe temporal changes in the vegetation-cover area of the watershed surface. The total drainage area for the reservoir was calculated from shuttle radar topographic mission data. The annual rainfall amount was used to compute the annual available rainwater for the watershed, and the impact of the annual available rainwater on the vegetation-covered area was determined. In addition, areas that were adding sedimentation to the reservoir were identified. An inverse relationship between the rainfall and vegetation cover was observed, clearly showing the triggering of erosion.

Più turismo con il GIS

Directory of Open Access Journals (Sweden)

Erminio Paolo Canavese

2015-02-01

Full Text Available In questa case history Virtualgeo presenta la sua soluzione per diffondere l’uso delle nuove tecnologie geomatiche a supporto del turismo grazie a un WebGIS ricco di funzionalità. La realizzazione di un percorso turistico digitale auspica di fornire possibili suggerimenti all’interno del processo di adeguamento tecnologico perseguito dalle municipalità.In this case study Virtualgeo presents its solution to spread the use of new geomatics technologies to support tourism through a webGIS that is rich of features. The creation of a tourist route through digital technology-based processing tools hopes to provide possible suggestions in the process of technological updating pursued by the municipalities of Eastern Venice, providing those simple solutions that become more and more "necessary" in an era constructed through the network. The created webGIS is a tourist product that is useful for the institutions directly concerned with the promotion of the territory; for the "natives", i.e. the citizens who often know little the area where they live, and for the eco-tourists visiting this wonderful land. The webGIS should not be neglected as an extraordinary tool of knowledge of the area (cultural heritage, landscape, environment for teaching in schools of all levels.

Più turismo con il GIS

Directory of Open Access Journals (Sweden)

Erminio Paolo Canavese

2015-02-01

Full Text Available In questa case history Virtualgeo presenta la sua soluzione per diffondere l’uso delle nuove tecnologie geomatiche a supporto del turismo grazie a un WebGIS ricco di funzionalità. La realizzazione di un percorso turistico digitale auspica di fornire possibili suggerimenti all’interno del processo di adeguamento tecnologico perseguito dalle municipalità. In this case study Virtualgeo presents its solution to spread the use of new geomatics technologies to support tourism through a webGIS that is rich of features. The creation of a tourist route through digital technology-based processing tools hopes to provide possible suggestions in the process of technological updating pursued by the municipalities of Eastern Venice, providing those simple solutions that become more and more "necessary" in an era constructed through the network. The created webGIS is a tourist product that is useful for the institutions directly concerned with the promotion of the territory; for the "natives", i.e. the citizens who often know little the area where they live, and for the eco-tourists visiting this wonderful land. The webGIS should not be neglected as an extraordinary tool of knowledge of the area (cultural heritage, landscape, environment for teaching in schools of all levels.

Application of Geographic Information Systems for Rural Electrification with Renewable Energy: IntiGIS Model. Case of Study: Zapara Island, Zulia State. Venezuela; Aplicaciones de Sistemas de Informacion Geografica para la Electrificacion Rural con Energias Renovables: Modelo IntiGIS. Caso de Estudio: Isla Zapara, Estado Zulia. Venezuela

Energy Technology Data Exchange (ETDEWEB)

Rincon, L; Dominguez, J; Amador, J; Arribas, L; Pinedo, I

2011-07-01

This project started as an educational exercise for the Renewable Energy and Environment Master, taught by the Polytechnic University of Madrid, with the purpose of analyze in a real context GIS application in rural electrification with renewable energies. It was developed in collaboration with CIEMAT, ENELVEN (C.A. Energia Electrica de Venezuela), FUNDELEC (Fundacion para el Desarrollo del Servicio Electrico), CORPOLEC (Corporacion Electrica Nacional de Venezuela) and the UPM. The final aim is to define the technology that suits best to Zapara Islands electrification needs. This improvement will make possible the sustainable development of the population. In order to compare electrification technologies to decide which is the most suitable to Zapara Island, using IntiGIS model, will be required a geographic resources analysis, a population distribution and an electricity demand study. Also, it will be necessary to establish the technical parameters of the facility and economic factors that could affect the study. (Author) 14 refs.

The benefits of GIS to land use planning

Science.gov (United States)

Strielko, Irina; Pereira, Paulo

2014-05-01

The development of information technologies has significantly changed the approach to land use and spatial planning, management of natural resources. GIS considerably simplifies territorial planning operating analyzing necessary data concerning their spatial relationship that allows carrying out complex assessment of the situation and creates a basis for adoption of more exact and scientifically reasonable decisions in the course of land use. To assess the current land use situation and the possibility of modeling possible future changes associated with complex of adopted measures GIS allows the integration of diverse spatial data, for example, data about soils, climate, vegetation, and other and also to visualize available information in the form of maps, graphs or charts, 3D models. For the purposes of land use GIS allow using data of remote sensing, which allows to make monitoring of anthropogenic influence in a particular area and estimate scales and rates of degradation of green cover, flora and fauna. Assessment of land use can be made in complex or componentwise, indicating the test sites depending on the goals. GIS make it easy to model spatial distribution of various types of pollution of stationary and mobile sources in soil, atmosphere and the hydrological network. Based on results of the analysis made by GIS choose the optimal solutions of land use that provide the minimum impact on environment, make optimal decisions of conflict associated with land use and control of their using. One of the major advantages of using GIS is possibility of the complex analysis in concrete existential aspect. Analytical opportunities of GIS define conditionality of spatial distribution of objects and interrelation communication between them. For a variety of land management objectives analysis method is chosen based on the parameters of the problem and parameters of use of its results.

Facilitating Spatial Thinking in World Geography Using Web-Based GIS

Science.gov (United States)

Jo, Injeong; Hong, Jung Eun; Verma, Kanika

2016-01-01

Advocates for geographic information system (GIS) education contend that learning about GIS promotes students' spatial thinking. Empirical studies are still needed to elucidate the potential of GIS as an instructional tool to support spatial thinking in other geography courses. Using a non-equivalent control group research design, this study…

Exhaled nitric oxide predicts exercise-induced bronchoconstriction in asthmatic school children

DEFF Research Database (Denmark)

Buchvald, Frederik; Hermansen, Mette N; Nielsen, Kim G

2005-01-01

BACKGROUND: Exercise-induced bronchoconstriction (EIB) is of particular importance in children with asthma. It is an important measure of asthma control and should be monitored by exercise testing. However, exercise testing puts a large demand on health-care resources and is therefore not widely...... used in routine monitoring of pediatric asthma control. The fractional concentration of exhaled nitric oxide (FeNO) also reflects uncontrolled asthma. We hypothesized that FeNO may be used for prescreening of asthmatic children to exclude those with good asthma control unlikely to have EIB, thereby...... reducing the need for exercise testing. OBJECTIVE: The aim of this study was to estimate the value of FeNO as a predictor of EIB in asthmatic children. METHODS: Stable outpatient asthmatic school children performed standard exercise challenge tests and measurement of FeNO. RESULTS: FeNO and response...

Automation technology using Geographic Information System (GIS)

Science.gov (United States)

Brooks, Cynthia L.

1994-01-01

Airport Surface Movement Area is but one of the actions taken to increase the capacity and safety of existing airport facilities. The System Integration Branch (SIB) has designed an integrated system consisting of an electronic moving display in the cockpit, and includes display of taxi routes which will warn controllers and pilots of the position of other traffic and warning information automatically. Although, this system has in test simulation proven to be accurate and helpful; the initial process of obtaining an airport layout of the taxi-routes and designing each of them is a very tedious and time-consuming process. Other methods of preparing the display maps are being researched. One such method is the use of the Geographical Information System (GIS). GIS is an integrated system of computer hardware and software linking topographical, demographic and other resource data that is being referenced. The software can support many areas of work with virtually unlimited information compatibility due to the system's open architecture. GIS will allow us to work faster with increased efficiency and accuracy while providing decision making capabilities. GIS is currently being used at the Langley Research Center with other applications and has been validated as an accurate system for that task. GIS usage for our task will involve digitizing aerial photographs of the topology for each taxi-runway and identifying each position according to its specific spatial coordinates. The information currently being used can be integrated with the GIS system, due to its ability to provide a wide variety of user interfaces. Much more research and data analysis will be needed before this technique will be used, however we are hopeful this will lead to better usage of man-power and technological capabilities for the future.

Freeware for GIS and Remote Sensing

Directory of Open Access Journals (Sweden)

Lena Halounová

2007-12-01

Full Text Available Education in remote sensing and GIS is based on software utilization. The software needs to be installed in computer rooms with a certain number of licenses. The commercial software equipment is therefore financially demanding and not only for universities, but especially for students. Internet research brings a long list of free software of various capabilities. The paper shows a present state of GIS, image processing and remote sensing free software.

A GIS-based multi-source and multi-box modeling approach (GMSMB) for air pollution assessment--a North American case study.

Science.gov (United States)

Wang, Bao-Zhen; Chen, Zhi

2013-01-01

This article presents a GIS-based multi-source and multi-box modeling approach (GMSMB) to predict the spatial concentration distributions of airborne pollutant on local and regional scales. In this method, an extended multi-box model combined with a multi-source and multi-grid Gaussian model are developed within the GIS framework to examine the contributions from both point- and area-source emissions. By using GIS, a large amount of data including emission sources, air quality monitoring, meteorological data, and spatial location information required for air quality modeling are brought into an integrated modeling environment. It helps more details of spatial variation in source distribution and meteorological condition to be quantitatively analyzed. The developed modeling approach has been examined to predict the spatial concentration distribution of four air pollutants (CO, NO(2), SO(2) and PM(2.5)) for the State of California. The modeling results are compared with the monitoring data. Good agreement is acquired which demonstrated that the developed modeling approach could deliver an effective air pollution assessment on both regional and local scales to support air pollution control and management planning.

Users Guide to VSMOKE-GIS for Workstations

Science.gov (United States)

Mary F. Harms; Leonidas G. Lavdas

1997-01-01

VSMOKE-GIS was developed to help prescribed burners in the national forests of the Southeastern United States visualize smoke dispersion and to plan prescribed burns. Developed for use on workstations, this decision-support system consists of a graphical user interface, written in Arc/Info Arc Macro Language, and is linked to a FORTRAN computer program. VSMOKE-GIS...

Paper-Based GIS: A Practical Answer to the Implementation of GIS Education into Resource-Poor Schools in South Africa

Science.gov (United States)

Breetzke, Gregory; Eksteen, Sanet; Pretorius, Erika

2011-01-01

Geographical information systems (GIS) were phased into the geography curriculum of South African schools from 2006-2008 as part of the National Curriculum Statement (NCS) for grades 10-12. Since its introduction, GIS education in schools across the country has been met with a number of challenges including the cost of purchasing the hardware and…

Applications of Mobile GIS in Forestry South Australia

Directory of Open Access Journals (Sweden)

D. T. Battad

2012-07-01

Full Text Available South Australian Forestry Corporation (ForestrySA had been actively investigating the applications of mobile GIS in forestry for the past few years. The main objective is to develop an integrated mobile GIS capability that allows staff to collect new spatial information, verify existing data, and remotely access and post data from the field. Two (2 prototype mobile GIS applications have been developed already using the Environmental Systems Research Institute (ESRI ARCGISR technology as the main spatial component. These prototype systems are the Forest Health Surveillance System and the Mobile GIS for Wetlands System. The Forest Health Surveillance System prototype is used primarily for aerial forest health surveillance. It was developed using a tablet PC with ArcMapR GIS. A customised toolbar was developed using ArcObjectsR in the Visual Basic 6 Integrated Development Environment (IDE. The resulting dynamic linked library provides a suite of custom tools which enables the following: - quickly create spatial features and attribute the data - full utilisation of global positioning system (GPS technology - excellent screen display navigation tools, i.e. pan, rotate map, capture of flight path - seamless integration of data into GIS as geodatabase (GDB feature classes - screen entry of text and conversion to annotation feature classes The Mobile GIS for Wetlands System prototype was developed for verifying existing wetland areas within ForestrySA’s plantation estate, collect new wetland data, and record wetland conditions. Mapping of actual wetlands within ForestrySA’s plantation estate is very critical because of the need to establish protection buffers around these features during the implementation of plantation operations. System development has been focussed on a mobile phone platform (HTC HD2R with WindowsR Mobile 6, ESRI’s ArcGISR Mobile software development kit (SDK employing ArcObjectsR written on C#.NET IDE, and ArcGIS Server

Exercise Predicts Long-Term Weight Loss in Women With Class 1 and Class 2 Obesity Through Effects on Emotional Eating and its Correlates.

Science.gov (United States)

Annesi, James J

2018-01-01

The relationship between exercise and long-term weight loss is definitive. However, in deconditioned individuals, the basis of that relationship beyond minimal energy expenditures is unclear. Effects emanating from exercise's proposed association with changes in emotional eating and its psychosocial correlates were tested. Women with class 1 (n = 67) and class 2 (n = 53) obesity, participating in a new community-based weight-loss treatment based on tenets of social cognitive theory, were assessed at baseline and Months 3, 6, 12, and 24 on weight and measures of exercise outputs, emotional eating, eating self-regulation, and negative mood. An exercise-support component was provided for 2 months prior to group nutrition-change sessions. Improvements from baseline were significant on all measures but did not significantly differ by group. Although not for the initial 3 months, changes in exercise significantly predicted weight changes over 6, 12, and 24 months from baseline. However, only 26%-31% of the lost weight was directly attributable to exercise-related energy expenditures. Changes in emotional eating significantly mediated the exercise-weight-loss relationship, and changes in self-regulation and mood significantly mediated the exercise-emotional eating relationship. Findings supported exercise's role in long-term weight loss primarily through psychosocial factors.

Un ente innovativo di ricerca e di servizi per la informazione geospaziale: GIS Research Center della Feng-Chia University di Taiwan (GIS.FCU

Directory of Open Access Journals (Sweden)

Mauro Salvemini

2012-04-01

Full Text Available La storia di un Laboratorio GIS a Taiwan nato da un accordo tra Feng-Chia University e la Università di Roma “LaSapienza” oggi tra i primi nel mondo nel settore dell’informazione geospaziale per la ricerca nell’ambito dei testdell’interoperabilità. A body of research and innovative services for geospatial infor-mation: GIS Research Center of Feng-Chia University in Taiwan (GIS.FCU The story of a GIS laboratory in Taiwan born on an agreement between the Feng-Chia University and the University of Rome "La Sapienza" now among the first in the world in the field of information for research for geospatial application.

Using SCM and SCOR in managing GIS products

CSIR Research Space (South Africa)

Schmitz, Peter MU

2006-02-01

Full Text Available This is a concept poster which examines the use of supply chain management in planning and managing large or data-intensive Geographic Information System (GIS) projects. Current management models in GIS are either on an organisational or a project...

A GIS BASED EVALUATION OF LAND USE CHANGES AND ECOLOGICAL CONNECTIVITY INDEX

Directory of Open Access Journals (Sweden)

Poppy Indrayani

2017-03-01

Full Text Available Recently, the Makassar region is a significant land use planning and management issue, and has many impacts on the ecological function and structure landscape. With the development and infrastructure initiatives mostly around the urban centers, the urbanization and sprawl would impact the environment and the natural resources. Therefore, environmental management and careful strategic spatial planning in landscape ecological network is crucial when aiming for sustainable development. In this paper, the impacts of land use changes from 1997 to 2012 on the landscape ecological connectivity in the Makassar region were evaluated using Geographic Information System (GIS. The resulted GIS analysis clearly showed that land use changes occurring in the Makassar region have caused profound changes in landscape pattern. The spatial model had a predictive capability allowing the quantitative assessment and comparison of the impacts resulting from different land use on the ecological connectivity index. The results had an effective performance in identifying the vital ecological areas and connectivity prior to development plan in areas.

Theoretical Constructs that Predict Women's Exercise

OpenAIRE

Whiteley, Jessica A.

1998-01-01

Although research has examined the determinants of physical activity, this research has focused primarily on men and few efforts have been made to explain the interrelationships between commonly used predictors of physical activity. Descriptive data and regression analyses were conducted with 193 female students, faculty, staff and community members of a southwestern Virginia university town. Variables that were entered into the regression included age, body mass index, exercise knowledge, se...

Smart caching based on mobile agent of power WebGIS platform.

Science.gov (United States)

Wang, Xiaohui; Wu, Kehe; Chen, Fei

2013-01-01

Power information construction is developing towards intensive, platform, distributed direction with the expansion of power grid and improvement of information technology. In order to meet the trend, power WebGIS was designed and developed. In this paper, we first discuss the architecture and functionality of power WebGIS, and then we study caching technology in detail, which contains dynamic display cache model, caching structure based on mobile agent, and cache data model. We have designed experiments of different data capacity to contrast performance between WebGIS with the proposed caching model and traditional WebGIS. The experimental results showed that, with the same hardware environment, the response time of WebGIS with and without caching model increased as data capacity growing, while the larger the data was, the higher the performance of WebGIS with proposed caching model improved.

Integration of modern statistical tools for the analysis of climate extremes into the web-GIS “CLIMATE”

Science.gov (United States)

Ryazanova, A. A.; Okladnikov, I. G.; Gordov, E. P.

2017-11-01

The frequency of occurrence and magnitude of precipitation and temperature extreme events show positive trends in several geographical regions. These events must be analyzed and studied in order to better understand their impact on the environment, predict their occurrences, and mitigate their effects. For this purpose, we augmented web-GIS called “CLIMATE” to include a dedicated statistical package developed in the R language. The web-GIS “CLIMATE” is a software platform for cloud storage processing and visualization of distributed archives of spatial datasets. It is based on a combined use of web and GIS technologies with reliable procedures for searching, extracting, processing, and visualizing the spatial data archives. The system provides a set of thematic online tools for the complex analysis of current and future climate changes and their effects on the environment. The package includes new powerful methods of time-dependent statistics of extremes, quantile regression and copula approach for the detailed analysis of various climate extreme events. Specifically, the very promising copula approach allows obtaining the structural connections between the extremes and the various environmental characteristics. The new statistical methods integrated into the web-GIS “CLIMATE” can significantly facilitate and accelerate the complex analysis of climate extremes using only a desktop PC connected to the Internet.

Examining intrinsic versus extrinsic exercise goals: cognitive, affective, and behavioral outcomes.

Science.gov (United States)

Sebire, Simon J; Standage, Martyn; Vansteenkiste, Maarten

2009-04-01

Grounded in self-determination theory (SDT), this study had two purposes: (a) examine the associations between intrinsic (relative to extrinsic) exercise goal content and cognitive, affective, and behavioral outcomes; and (b) test the mediating role of psychological need satisfaction in the Exercise Goal Content --> Outcomes relationship. Using a sample of 410 adults, hierarchical regression analysis showed relative intrinsic goal content to positively predict physical self-worth, self-reported exercise behavior, psychological well-being, and psychological need satisfaction and negatively predict exercise anxiety. Except for exercise behavior, the predictive utility of relative intrinsic goal content on the dependent variables of interest remained significant after controlling for participants' relative self-determined exercise motivation. Structural equation modeling analyses showed psychological need satisfaction to partially mediate the effect of relative intrinsic goal content on the outcome variables. Our findings support further investigation of exercise goals commensurate with the goal content perspective advanced in SDT.

Integration of GIS, Geostatistics, and 3-D Technology to Assess the Spatial Distribution of Soil Moisture

Science.gov (United States)

Betts, M.; Tsegaye, T.; Tadesse, W.; Coleman, T. L.; Fahsi, A.

1998-01-01

The spatial and temporal distribution of near surface soil moisture is of fundamental importance to many physical, biological, biogeochemical, and hydrological processes. However, knowledge of these space-time dynamics and the processes which control them remains unclear. The integration of geographic information systems (GIS) and geostatistics together promise a simple mechanism to evaluate and display the spatial and temporal distribution of this vital hydrologic and physical variable. Therefore, this research demonstrates the use of geostatistics and GIS to predict and display soil moisture distribution under vegetated and non-vegetated plots. The research was conducted at the Winfred Thomas Agricultural Experiment Station (WTAES), Hazel Green, Alabama. Soil moisture measurement were done on a 10 by 10 m grid from tall fescue grass (GR), alfalfa (AA), bare rough (BR), and bare smooth (BS) plots. Results indicated that variance associated with soil moisture was higher for vegetated plots than non-vegetated plots. The presence of vegetation in general contributed to the spatial variability of soil moisture. Integration of geostatistics and GIS can improve the productivity of farm lands and the precision of farming.

Application of GIS Technology - cadastral base of the municipality of Gostivar

OpenAIRE

Serafimoski, Toni

2011-01-01

In the thesis is presented modern GIS technology and its application in the field of cadastre. GIS technology is essentially based on the display and information processing related to given geographical coordinates. In the paper is implemented GIS software package Microstation, widely applied in the field of cadastre. The paper developed model using data from the cadastre of the municipality of Gostivar. Applied GIS technology opens up wide possibilities of processing of cadastral data,...

Soil Erosion Analysis in a Small Forested Catchment Supported by ArcGIS Model Builder

Directory of Open Access Journals (Sweden)

CSÁFORDI, Péter

2012-01-01

Full Text Available To implement the analysis of soil erosion with the USLE in a GIS environment, a new workflow has been developed with the ArcGIS Model Builder. The aim of this four-part framework is to accelerate data processing and to ensure comparability of soil erosion risk maps. The first submodel generates the stream network with connected catchments, computes slope conditions and the LS factor in USLE based on the DEM. The second submodel integrates stream lines, roads, catchment boundaries, land cover, land use, and soil maps. This combined dataset is the basis for the preparation of other USLE-factors. The third submodel estimates soil loss, and creates zonal statistics of soil erosion. The fourth submodel classifies soil loss into categories enabling the comparison of modelled and observed soil erosion. The framework was applied in a small forested catchment in Hungary. Although there is significant deviation between the erosion of different land covers, the predicted specific soil loss does not increase above the tolerance limit in any area unit. The predicted surface soil erosion in forest subcompartments mostly depends on the slope conditions.

GRASS GIS: a peer-reviewed scientific platform and future research repository

Science.gov (United States)

Chemin, Yann; Petras, Vaclav; Petrasova, Anna; Landa, Martin; Gebbert, Sören; Zambelli, Pietro; Neteler, Markus; Löwe, Peter; Di Leo, Margherita

2015-04-01

., Harmon, B., Petras, V., Mitasova, H., 2014. GIS-based environmental modeling with tangible interaction and dynamic visualization. In: Ames, D.P., Quinn, N.W.T., Rizzoli, A.E. (Eds.), Proceedings of the 7th International Congress on Environmental Modelling and Software, June 15-19, San Diego, California, USA. ISBN: 978-88-9035-744-2 [17] Raghavan, v., Choosumrong, S., Yoshida, D., Vinayaraj, P., 2014. Deploying Dynamic Routing Service for Emergency Scenarios using pgRouting, GRASS and ZOO. In Proc. of FOSS4G Europe, Jacobs University, Bremen, Germany, July 15-17, 2014. [18] Rocchini, D., Neteler, M. ,2012. Let the four freedoms paradigm apply to ecology. Trends in Ecology & Evolution, 27: 310-311. [19] Rodriguez-Aseretto, D., de Rigo, D., Di Leo, M., Cortés, A., and San-Miguel-Ayanz, J., 2013. A data-driven model for large wildfire behaviour prediction in europe. Procedia Computer Science, vol. 18, pp. 1861-1870. [20] de Rigo, D., Rodriguez-Aseretto, D., Bosco, C., Di Leo, M., and San-Miguel-Ayanz, J., 2013. An architecture for adaptive robust modelling of wildfire behaviour under deep uncertainty. in Environmental Software Systems. Fostering Information Sharing, ser. IFIP Advances in Information and Communication Technology, J. Ȟrebíˇ cek, G. Schimak, M. Kubásek, and A. Rizzoli, Eds. Springer Berlin Heidelberg, 2013, vol. 413, pp. 367-380. [21] Rothermel, R. C., 1983. How to predict the spread and intensity of forest and range fires. US Forest Service, Gen. Tech. Rep. INT-143. Ogden, Utah. [22] Suleiman, A., Al-Bakri, J., Duqqah, M. & Crago, R. ,2008. Intercomparison ofevapotranspiration estimates at the different ecological zones in jordan, Journal of Hydrometeorology 9(5): 903-919. [23] Timmermans, W. J., Kustas, W. P., Anderson, M. C. & French, A. N. ,2007. An intercomparison of the surface energy balance algorithm for land (sebal) and the two-source energy balance (tseb) modeling schemes, Remote Sensing of Environment 108(4): 369 - 384. [24] Xu, Jianping, 1994

Ground subsidence information as a valuable layer in GIS analysis

Directory of Open Access Journals (Sweden)

Murdzek Radosław

2018-01-01

Full Text Available Among the technologies used to improve functioning of local governments the geographic information systems (GIS are widely used. GIS tools allow to simultaneously integrate spatial data resources, analyse them, process and use them to make strategic decisions. Nowadays GIS analysis is widely used in spatial planning or environmental protection. In these applications a number of spatial information are utilized, but rarely it is an information about environmental hazards. This paper includes information about ground subsidence that occurred in USCB mining area into GIS analysis. Monitoring of this phenomenon can be carried out using the radar differential interferometry (DInSAR method.

Ground subsidence information as a valuable layer in GIS analysis

Science.gov (United States)

Murdzek, Radosław; Malik, Hubert; Leśniak, Andrzej

2018-04-01

Among the technologies used to improve functioning of local governments the geographic information systems (GIS) are widely used. GIS tools allow to simultaneously integrate spatial data resources, analyse them, process and use them to make strategic decisions. Nowadays GIS analysis is widely used in spatial planning or environmental protection. In these applications a number of spatial information are utilized, but rarely it is an information about environmental hazards. This paper includes information about ground subsidence that occurred in USCB mining area into GIS analysis. Monitoring of this phenomenon can be carried out using the radar differential interferometry (DInSAR) method.

The analysis on demand-driven GIS talent education modes in China colleges

Science.gov (United States)

Yang, Liangjie; Mou, Naixia; Yang, Shuwen

2006-10-01

GIS is an application-driven and technology-guided specialty and it has become an important part of informational technology industry. The purpose of GIS talent education is to provide the talented person (theory-oriented and technique-oriented) for the digital society. So it is obviously market-driven. The multi-level, diversification and socialization of GIS application need multi-objective, multi-gradient and large-scale GIS talent education. The college is the dominating education department in China. So the college education modes have a strong impact on the quality of GIS talents. The curriculum design embodies intrinsic request of education goals and modes. So it should be flexible, diverse and multi-level in order to achieve the established goals. In this paper, we analyze the present situation of GIS education both home and abroad, find out the problems and their corresponding reasons of China GIS education, then put forward three goals of domestic GIS education and five education modes ("3+5" education modes). At last, we argue the basic frame of the curriculum design.

HUD GIS Boundary Files

Data.gov (United States)

Department of Housing and Urban Development — The HUD GIS Boundary Files are intended to supplement boundary files available from the U.S. Census Bureau. The files are for community planners interested in...

Predictors of Exercise Relapse in a College Population.

Science.gov (United States)

Sullum, Julie; Clark, Matthew M.; King, Teresa K.

2000-01-01

Investigated factors that predicted exercise relapse among college students. Physically active undergraduates completed questionnaires measuring Prochaska's 10 processes for change of exercise, self-efficacy, and decisional balance. Exercise levels were assessed at baseline and 8 weeks later. At baseline, relapsers had significantly lower…

Application of gis - technology for modelling motion water in the open channels

OpenAIRE

Venherskyi, Petro; Kokovska, Yaryna

2012-01-01

In this paper technology that would be allowed to use ArcGIS-Extension, that is GIS-components for Webapplications based on ArcGIS Server'a. Such technologies provide simple and easy integration and use of GIS-component on the WEB-site, where a separate layer provided opportunities modeling and solving applied problems of moving water flow in rivers.

A Novel Method to Predict Genomic Islands Based on Mean Shift Clustering Algorithm.

Directory of Open Access Journals (Sweden)

Daniel M de Brito

Full Text Available Genomic Islands (GIs are regions of bacterial genomes that are acquired from other organisms by the phenomenon of horizontal transfer. These regions are often responsible for many important acquired adaptations of the bacteria, with great impact on their evolution and behavior. Nevertheless, these adaptations are usually associated with pathogenicity, antibiotic resistance, degradation and metabolism. Identification of such regions is of medical and industrial interest. For this reason, different approaches for genomic islands prediction have been proposed. However, none of them are capable of predicting precisely the complete repertory of GIs in a genome. The difficulties arise due to the changes in performance of different algorithms in the face of the variety of nucleotide distribution in different species. In this paper, we present a novel method to predict GIs that is built upon mean shift clustering algorithm. It does not require any information regarding the number of clusters, and the bandwidth parameter is automatically calculated based on a heuristic approach. The method was implemented in a new user-friendly tool named MSGIP--Mean Shift Genomic Island Predictor. Genomes of bacteria with GIs discussed in other papers were used to evaluate the proposed method. The application of this tool revealed the same GIs predicted by other methods and also different novel unpredicted islands. A detailed investigation of the different features related to typical GI elements inserted in these new regions confirmed its effectiveness. Stand-alone and user-friendly versions for this new methodology are available at http://msgip.integrativebioinformatics.me.

Application of GIS-based SCS-CN method in West Bank catchments, Palestine

OpenAIRE

Sameer Shadeed; Mohammad Almasri

2010-01-01

Among the most basic challenges of hydrology are the prediction and quantification of catchment surface runoff. The runoff curve number (CN) is a key factor in determining runoff in the SCS (Soil Conservation Service) based hydrologic modeling method. The traditional SCS-CN method for calculating the composite curve number is very tedious and consumes a major portion of the hydrologic modeling time. Therefore, geographic information systems (GIS) are now being used in combination with the SCS...

From BIM to GIS at the Smithsonian Institution

Science.gov (United States)

Günther-Diringer, Detlef

2018-05-01

BIM-files (Building Information Models) are in modern architecture and building management a basic prerequisite for successful creation of construction engineering projects. At the facilities department of the Smithsonian Institution more than six hundred buildings were maintained. All facilities were digital available in an ESRI ArcGIS-environment with connection to the database information about single rooms with the usage and further maintenance information. These data are organization wide available by an intranet viewer, but only in a two-dimensional representation. Goal of the carried out project was the development of a workflow from available BIM-models to the given GIS-structure. The test-environment were the BIM-models of the buildings of the Smithsonian museums along the Washington Mall. Based on new software editions of Autodesk Revit, FME and ArcGIS Pro the workflow from BIM to the GIS-data structure of the Smithsonian was successfully developed and may be applied for the setup of the future 3D intranet viewer.

Predictive Factors of Exercise Behaviors of Junior High School Students in Chonburi Province

OpenAIRE

Tanida Julvanichpong

2016-01-01

Exercise has been regarded as a necessary and important aspect to enhance physical performance and psychology health. Body weight statistics of students in junior high school students in Chonburi Province beyond a standard risk of obesity. Promoting exercise among Junior high school students in Chonburi Province, essential knowledge concerning factors influencing exercise is needed. Therefore, this study aims to (1) determine the levels of perceived exercise behavior, exercise behavior in the...

The GIS and data solution for advanced business analysis

Directory of Open Access Journals (Sweden)

Carmen RADUT

2009-12-01

Full Text Available The GIS Business Analyst is a suite of Geographic Information System (GIS-enabled tools, wizards, and data that provides business professionals with a complete solution for site evaluation, selective customer profiling, and trade area market analysis. Running simple reports, mapping the results, and performing complex probability models are among the capabilities The GIS Business Analyst offers in one affordable desktop analysis solution. Data and analyses produced by The GIS Business Analyst can be shared across departments, reducing redundant research and marketing efforts, speeding analysis of results, and increasing employee efficiency. The GIS Business Analyst is the first suite of tools for unlocking the intelligence of geography, demographic, consumer lifestyle, and business data. It is a valuable asset for business decision making such as analyzing market share and competition, determining new site expansions or reductions, and targeting new customers. The ability to analyze and visualize the geographic component of business data reveals trends, patterns, and opportunities hidden in tabular data. By combining information, such as sales data of the organization, customer information, and competitor locations, with geographic data, such as demographics, territories, or store locations, the GIS Business Analyst helps the user better understand organization market, organization customers, and organization competition. The business intelligence systems bring geographic information systems, marketing analysis tools, and demographic data products together to offer the user powerful ways to compete in today's business strategies.

A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis☆

Science.gov (United States)

Feizizadeh, Bakhtiar; Jankowski, Piotr; Blaschke, Thomas

2014-01-01

GIS multicriteria decision analysis (MCDA) techniques are increasingly used in landslide susceptibility mapping for the prediction of future hazards, land use planning, as well as for hazard preparedness. However, the uncertainties associated with MCDA techniques are inevitable and model outcomes are open to multiple types of uncertainty. In this paper, we present a systematic approach to uncertainty and sensitivity analysis. We access the uncertainty of landslide susceptibility maps produced with GIS-MCDA techniques. A new spatially-explicit approach and Dempster–Shafer Theory (DST) are employed to assess the uncertainties associated with two MCDA techniques, namely Analytical Hierarchical Process (AHP) and Ordered Weighted Averaging (OWA) implemented in GIS. The methodology is composed of three different phases. First, weights are computed to express the relative importance of factors (criteria) for landslide susceptibility. Next, the uncertainty and sensitivity of landslide susceptibility is analyzed as a function of weights using Monte Carlo Simulation and Global Sensitivity Analysis. Finally, the results are validated using a landslide inventory database and by applying DST. The comparisons of the obtained landslide susceptibility maps of both MCDA techniques with known landslides show that the AHP outperforms OWA. However, the OWA-generated landslide susceptibility map shows lower uncertainty than the AHP-generated map. The results demonstrate that further improvement in the accuracy of GIS-based MCDA can be achieved by employing an integrated uncertainty–sensitivity analysis approach, in which the uncertainty of landslide susceptibility model is decomposed and attributed to model's criteria weights. PMID:25843987

A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis.

Science.gov (United States)

Feizizadeh, Bakhtiar; Jankowski, Piotr; Blaschke, Thomas

2014-03-01

GIS multicriteria decision analysis (MCDA) techniques are increasingly used in landslide susceptibility mapping for the prediction of future hazards, land use planning, as well as for hazard preparedness. However, the uncertainties associated with MCDA techniques are inevitable and model outcomes are open to multiple types of uncertainty. In this paper, we present a systematic approach to uncertainty and sensitivity analysis. We access the uncertainty of landslide susceptibility maps produced with GIS-MCDA techniques. A new spatially-explicit approach and Dempster-Shafer Theory (DST) are employed to assess the uncertainties associated with two MCDA techniques, namely Analytical Hierarchical Process (AHP) and Ordered Weighted Averaging (OWA) implemented in GIS. The methodology is composed of three different phases. First, weights are computed to express the relative importance of factors (criteria) for landslide susceptibility. Next, the uncertainty and sensitivity of landslide susceptibility is analyzed as a function of weights using Monte Carlo Simulation and Global Sensitivity Analysis. Finally, the results are validated using a landslide inventory database and by applying DST. The comparisons of the obtained landslide susceptibility maps of both MCDA techniques with known landslides show that the AHP outperforms OWA. However, the OWA-generated landslide susceptibility map shows lower uncertainty than the AHP-generated map. The results demonstrate that further improvement in the accuracy of GIS-based MCDA can be achieved by employing an integrated uncertainty-sensitivity analysis approach, in which the uncertainty of landslide susceptibility model is decomposed and attributed to model's criteria weights.

INTERPLAY OF DIFFERENT CONTEXTUAL MOTIVATIONS AND THEIR IMPLICATIONS FOR EXERCISE MOTIVATION

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David González-Cutre

2011-06-01

Full Text Available The aim of this study was to analyze the interaction between different contextual motivations and exercise motivation. The sample consisted of 449 exercisers aged between 16 and 53 years. Questionnaires were used to measure the satisfaction of basic psychological needs, self-determined motivation and the autotelic experience during exercise. The level of self-determined motivation regarding health, leisure and interpersonal relationships was also measured. The results of the structural equation modeling demonstrated that basic psychological needs and self-determined motivations about health and leisure positively predicted the self-determined motivation to exercise. Moreover, the self-determined motivation to exercise positively predicted the autotelic experience. The model was invariant across age, although some gender differences were found. Specifically, the self-determined motivation towards health in men did not significantly predict the self-determined motivation to exercise. These results represent to evaluate the role that other contextual motivations play in exercise motivation

GIS-Based KW-GIUH hydrological model of semiarid catchments: The case of Faria Catchment, Palestine

International Nuclear Information System (INIS)

Shadeed, S.; Shaheen, H.; Jayyousi, A.

2007-01-01

Among the most basic challenges of hydrology are the quantitative understanding of the processes of runoff generation and prediction of flow hydrographs. Traditional techniques have been widely applied for the estimation of runoff hydrographs of gauged catchments using historical rainfall-runoff data and unit hydrographs. Such procedures are questioned as to their reliability and their application to ungauged, arid and semiarid catchments. To overcome such difficulties, the use of physically based rainfall-runoff process of Faria Catchment using the lately developed KW-GIUH. Faria catchment, located in the northeastern part of the West Bank, Palestine, is characterized as a semiarid region with annual rainfall depths ranging on average from 150 to 640 mm at both ends of the catchment. The Geographical Information System (GIS) techniques were used to shape the geomorphological features of the catchment. A GIS based KW-GIUH hydrological model was used to stimulate the rainfall-runoff process in the three sub-catchments of Faria, namely: Al-Badan, Al-Faria and Al-Malaqi. The simulated runoff hydrographs proved that the GIS-based KW-GIUH model is applicable to semiarid regions and can be used to estimate the unit hydrographs in the West Bank catchments. (author)

GIS-NaP1 zeolite microspheres as potential water adsorption material: Influence of initial silica concentration on adsorptive and physical/topological properties.

Science.gov (United States)

Sharma, Pankaj; Song, Ju-Sub; Han, Moon Hee; Cho, Churl-Hee

2016-03-11

GIS-NaP1 zeolite samples were synthesized using seven different Si/Al ratios (5-11) of the hydrothermal reaction mixtures having chemical composition Al2O3:xSiO2:14Na2O:840H2O to study the impact of Si/Al molar ratio on the water vapour adsorption potential, phase purity, morphology and crystal size of as-synthesized GIS-NaP1 zeolite crystals. The X-ray diffraction (XRD) observations reveal that Si/Al ratio does not affect the phase purity of GIS-NaP1 zeolite samples as high purity GIS-NaP1 zeolite crystals were obtained from all Si/Al ratios. Contrary, Si/Al ratios have remarkable effect on the morphology, crystal size and porosity of GIS-NaP1 zeolite microspheres. Transmission electron microscopy (TEM) evaluations of individual GIS-NaP1 zeolite microsphere demonstrate the characteristic changes in the packaging/arrangement, shape and size of primary nano crystallites. Textural characterisation using water vapour adsorption/desorption, and nitrogen adsorption/desorption data of as-synthesized GIS-NaP1 zeolite predicts the existence of mix-pores i.e., microporous as well as mesoporous character. High water storage capacity 1727.5 cm(3) g(-1) (138.9 wt.%) has been found for as-synthesized GIS-NaP1 zeolite microsphere samples during water vapour adsorption studies. Further, the total water adsorption capacity values for P6 (1299.4 mg g(-1)) and P7 (1388.8 mg g(-1)) samples reveal that these two particular samples can absorb even more water than their own weights.

GIS-NaP1 zeolite microspheres as potential water adsorption material: Influence of initial silica concentration on adsorptive and physical/topological properties

Science.gov (United States)

Sharma, Pankaj; Song, Ju-Sub; Han, Moon Hee; Cho, Churl-Hee

2016-01-01

GIS-NaP1 zeolite samples were synthesized using seven different Si/Al ratios (5–11) of the hydrothermal reaction mixtures having chemical composition Al2O3:xSiO2:14Na2O:840H2O to study the impact of Si/Al molar ratio on the water vapour adsorption potential, phase purity, morphology and crystal size of as-synthesized GIS-NaP1 zeolite crystals. The X-ray diffraction (XRD) observations reveal that Si/Al ratio does not affect the phase purity of GIS-NaP1 zeolite samples as high purity GIS-NaP1 zeolite crystals were obtained from all Si/Al ratios. Contrary, Si/Al ratios have remarkable effect on the morphology, crystal size and porosity of GIS-NaP1 zeolite microspheres. Transmission electron microscopy (TEM) evaluations of individual GIS-NaP1 zeolite microsphere demonstrate the characteristic changes in the packaging/arrangement, shape and size of primary nano crystallites. Textural characterisation using water vapour adsorption/desorption, and nitrogen adsorption/desorption data of as-synthesized GIS-NaP1 zeolite predicts the existence of mix-pores i.e., microporous as well as mesoporous character. High water storage capacity 1727.5 cm3 g−1 (138.9 wt.%) has been found for as-synthesized GIS-NaP1 zeolite microsphere samples during water vapour adsorption studies. Further, the total water adsorption capacity values for P6 (1299.4 mg g−1) and P7 (1388.8 mg g−1) samples reveal that these two particular samples can absorb even more water than their own weights. PMID:26964638

Biodiversity in environmental assessment-current practice and tools for prediction

International Nuclear Information System (INIS)

Gontier, Mikael; Balfors, Berit; Moertberg, Ulla

2006-01-01

Habitat loss and fragmentation are major threats to biodiversity. Environmental impact assessment and strategic environmental assessment are essential instruments used in physical planning to address such problems. Yet there are no well-developed methods for quantifying and predicting impacts of fragmentation on biodiversity. In this study, a literature review was conducted on GIS-based ecological models that have potential as prediction tools for biodiversity assessment. Further, a review of environmental impact statements for road and railway projects from four European countries was performed, to study how impact prediction concerning biodiversity issues was addressed. The results of the study showed the existing gap between research in GIS-based ecological modelling and current practice in biodiversity assessment within environmental assessment

77 FR 69899 - Public Conference on Geographic Information Systems (GIS) in Transportation Safety

Science.gov (United States)

2012-11-21

... NATIONAL TRANSPORTATION SAFETY BOARD Public Conference on Geographic Information Systems (GIS) in... Geographic Information Systems (GIS) in transportation safety on December 4-5, 2012. GIS is a rapidly... visualization of data. The meeting will bring researchers and practitioners in transportation safety and GIS...

Open source GIS for HIV/AIDS management

Directory of Open Access Journals (Sweden)

Ricketts Adam

2008-10-01

Full Text Available Abstract Background Reliable access to basic services can improve a community's resilience to HIV/AIDS. Accordingly, work is being done to upgrade the physical infrastructure in affected areas, often employing a strategy of decentralised service provision. Spatial characteristics are one of the major determinants in implementing services, even in the smaller municipal areas, and good quality spatial information is needed to inform decision making processes. However, limited funds, technical infrastructure and human resource capacity result in little or no access to spatial information for crucial infrastructure development decisions at local level. This research investigated whether it would be possible to develop a GIS for basic infrastructure planning and management at local level. Given the resource constraints of the local government context, particularly in small municipalities, it was decided that open source software should be used for the prototype system. Results The design and development of a prototype system illustrated that it is possible to develop an open source GIS system that can be used within the context of local information management. Usability tests show a high degree of usability for the system, which is important considering the heavy workload and high staff turnover that characterises local government in South Africa. Local infrastructure management stakeholders interviewed in a case study of a South African municipality see the potential for the use of GIS as a communication tool and are generally positive about the use of GIS for these purposes. They note security issues that may arise through the sharing of information, lack of skills and resource constraints as the major barriers to adoption. Conclusion The case study shows that spatial information is an identified need at local level. Open source GIS software can be used to develop a system to provide local-level stakeholders with spatial information. However, the

A new data integration approach for AutoCAD and GIS

Science.gov (United States)

Ye, Hongmei; Li, Yuhong; Wang, Cheng; Li, Lijun

2006-10-01

GIS has its advantages both on spatial data analysis and management, particularly on the geometric and attributive information management, which has also attracted lots attentions among researchers around world. AutoCAD plays more and more important roles as one of the main data sources of GIS. Various work and achievements can be found in the related literature. However, the conventional data integration from AutoCAD to GIS is time-consuming, which also can cause the information loss both in the geometric aspects and the attributive aspects for a large system. It is necessary and urgent to sort out new approach and algorithm for the efficient high-quality data integration. In this paper, a novel data integration approach from AutoCAD to GIS will be introduced based on the spatial data mining technique through the data structure analysis both in the AutoCAD and GIS. A practicable algorithm for the data conversion from CAD to GIS will be given as well. By a designed evaluation scheme, the accuracy of the conversion both in the geometric and the attributive information will be demonstrated. Finally, the validity and feasibility of the new approach will be shown by an experimental analysis.

GIS tools for analyzing accidents and road design: A review

Energy Technology Data Exchange (ETDEWEB)

Satria, R.

2016-07-01

A significant unexpected outcome of transportation systems is road accidents with injuries and loss of lives. In recent years, the number of studies about the tools for analyzing accidents and road design has increased considerably. Among these tools, Geographical Information Systems (GIS) stand out for their ability to perform complex spatial analyses. However, sometimes the GIS, has been used only as a geographical database to store and represent data about accidents and road characteristics. It has also been used to represent the results of statistical studies of accidents but, these statistical studies have not been carried out with GIS. Owing to its integrated statistical-analysis capabilities GIS provides several advantages. First, it allows a more careful and accurate data selection, screening and reduction. Also, it allows a spatial analysis of the results in pre and post-processing. Second, GIS allows the development of spatial statistics that rely on geographically-referenced data. In this paper, several GIS tools used to model accidents have been examined. The understanding of these tools will help the analyst to make a better decision about which tool could be applied in each particular condition and context. (Author)

GIS IN THE CLOUD: USING WEBGIS FOR TEACHING SECONDARY GEOGRAPHY

Directory of Open Access Journals (Sweden)

Andrew J. Milson

Full Text Available RESUMEN:There is no doubt among most geography educators that GIS is an important tool for teaching and learning, but its use has been slowed by issues such as the cost of the software and the management of large spatial data files. The move to cloud computing is one trend that is promising for GIS in education. The "cloud" refers to a virtual network that provides many users with access to files, services, and applications. In this article I argue that cloud computing and WebGIS have the potential to transform geography education. I will describe three case studies that make use of these emerging tools in classrooms in the US, and discuss the lessons that we can learn from these cases. PALABRAS CLAVE WEBSIG; SIG; enseñanza de la geografía; la nube de Internet; ArcGIS Online; ArcGIS Explorer Desktop (AGX. ABSTRACT There is no doubt among most geography educators that GIS is an important tool for teaching and learning, but its use has been slowed by issues such as the cost of the software and the management of large spatial data files. The move to cloud computingis one trend that is promising for GIS in education. The "cloud" refers to a virtual network that provides many users with access to files, services, and applications. In this article I argue that cloud computing and WebGIS have the potential to transform geography education. I will describe three case studies that make use of these emerging tools in classrooms in the US, and discuss the lessons that we can learn from these cases. KEY WORDS WEBGIS; GIS; cloud computing; ArcGIS Online; ArcGIS Explorer Desktop (AGX. RÉSUMÉ Il n'ya aucun doute parmi les éducateurs les plus géographie que le SIG est un outil important pour l'enseignement et l'apprentissage, mais son utilisation a été ralentie par des problèmes tels que le coût du logiciel et la gestion des grands fichiers de données spatiales. Le passage au nuage de l'internet est une tendance qui est prometteur pour les SIG dans l

CLOUD BASED WEB 3D GIS TAIWAN PLATFORM

Directory of Open Access Journals (Sweden)

W.-F. Tsai

2012-09-01

Full Text Available This article presents the status of the web 3D GIS platform, which has been developed in the National Applied Research Laboratories. The purpose is to develop a global earth observation 3D GIS platform for applications to disaster monitoring and assessment in Taiwan. For quick response to preliminary and detailed assessment after a natural disaster occurs, the web 3D GIS platform is useful to access, transfer, integrate, display and analyze the multi-scale huge data following the international OGC standard. The framework of cloud service for data warehousing management and efficiency enhancement using VMWare is illustrated in this article.

Adjustment of the problems of landslide GIS data

Science.gov (United States)

Uchiyama, S.; Doshida, S.; Oyagi, N.; Shimizu, F.; Inokuchi, T.

2012-12-01

Information on the distribution of landslides is a basic type of data used by countries for disaster prevention. Since 1972, 1:50,000 landslide maps have been produced at the Japanese National Research Institute for Earth Science and Disaster Prevention. From October 2000, the institute has been producing landslide GIS data and transmitting these data over the web. The area that has been published so far covers over 80% of Japan. Presently, the number of diagrams printed are 980 (March 2012). In addition, 350,000 landslide GIS data graphs have been digitized with the same diagrams as a base. Twelve years have passed since this GIS data acquisition program was launched, and in that time, several problems have been identified. These problems are listed below. 1) Scarps do not become polygonized. 2) Landslides which extend over the boundaries of the printed graphs are divided into separate elements. 3) When the time taken to read and interpret the landslide data differs, the shape of the landslides can vary between diagrams. 4) There have been cases of inaccurate positions and shapes in landslide GIS data produced since 2005. 5) Obvious mistakes are present in the attribute data. The causes of such problems are as follows: 1) Lack of technical examination at the time of the start of the production of the landslide GIS data. 2) Limitations of the landslide GIS data editing systems which were developed separately. 3) Program bugs which occur during the conversion of information input to an individual editing system into general-purpose GIS data. 4) Problems which arise during the process of the production of landslide GIS data. This project at the National Research Institute for Earth Science and Disaster Prevention is planned to be completed in 2013. By the end of the project, we hope to present a catalogue of all identified problems and formulate a plan to resolve them, and pass them on to the next generation.; Problems: For the diagram, scarps are presented by

WebGIS based on semantic grid model and web services

Science.gov (United States)

Zhang, WangFei; Yue, CaiRong; Gao, JianGuo

2009-10-01

As the combination point of the network technology and GIS technology, WebGIS has got the fast development in recent years. With the restriction of Web and the characteristics of GIS, traditional WebGIS has some prominent problems existing in development. For example, it can't accomplish the interoperability of heterogeneous spatial databases; it can't accomplish the data access of cross-platform. With the appearance of Web Service and Grid technology, there appeared great change in field of WebGIS. Web Service provided an interface which can give information of different site the ability of data sharing and inter communication. The goal of Grid technology was to make the internet to a large and super computer, with this computer we can efficiently implement the overall sharing of computing resources, storage resource, data resource, information resource, knowledge resources and experts resources. But to WebGIS, we only implement the physically connection of data and information and these is far from the enough. Because of the different understanding of the world, following different professional regulations, different policies and different habits, the experts in different field will get different end when they observed the same geographic phenomenon and the semantic heterogeneity produced. Since these there are large differences to the same concept in different field. If we use the WebGIS without considering of the semantic heterogeneity, we will answer the questions users proposed wrongly or we can't answer the questions users proposed. To solve this problem, this paper put forward and experienced an effective method of combing semantic grid and Web Services technology to develop WebGIS. In this paper, we studied the method to construct ontology and the method to combine Grid technology and Web Services and with the detailed analysis of computing characteristics and application model in the distribution of data, we designed the WebGIS query system driven by

Renewable energies supported by GIS and land management; Erneuerbare Energien unterstuetzt durch GIS und Landmanagement

Energy Technology Data Exchange (ETDEWEB)

Klaerle, Martina (ed.)

2012-11-01

The author of the book under consideration reports on the support of renewable energy sources by Geographical Information Systems (GIS) and land management. The first part of this book is addressed to actual land political and planning legal fundamentals of the energy policy turnaround as well as on future developments of the planning instruments. The second part of this book presents GIS based tools and concrete application examples which are very valuable for regional authorities in the implementation of the energy policy turnaround: solar plant cadastre, holistic potential analysis for all forms of renewable energy systems, visibility studies, flexible power grids and so forth.

FROM EXCAVATIONS TO WEB: A GIS FOR ARCHAEOLOGY

Directory of Open Access Journals (Sweden)

M. G. D'Urso

2017-05-01

Full Text Available The study and the protection of Cultural Heritage in recent years have undergone a revolution about the search tools and the reference disciplines. The technological approach to the problem of the collection, organization and publication of archaeological data using GIS software has completely changed the essence of the traditional methods of investigation, paving the way to the development of several application areas, up to the Cultural Resource Management. A relatively recent specific sector of development for archaeological GIS development sector is dedicated to the intra - site analyses aimed to recording, processing and display information obtained during the excavations. The case - study of the archaeological site located in the south - east of San Pietro Vetere plateau in Aquino, in the Southern Lazio, is concerned with the illustration of a procedure describing the complete digital workflow relative to an intra-site analysis of an archaeological dig. The GIS project implementation and its publication on the web, thanks to several softwares, particularly the FOSS (Free Open Source Software Quantum - GIS, are an opportunity to reflect on the strengths and the critical nature of this particular application of the GIS technology. For future developments in research it is of fundamental importance the identification of a digital protocol for processing of excavations (from the acquisition, cataloguing, up data insertion, also on account of a possible future Open Project on medieval Aquino.

Exercise pulmonary hypertension in asymptomatic degenerative mitral regurgitation.

Science.gov (United States)

Magne, Julien; Lancellotti, Patrizio; Piérard, Luc A

2010-07-06

Current guidelines recommend mitral valve surgery for asymptomatic patients with severe degenerative mitral regurgitation and preserved left ventricular systolic function when exercise pulmonary hypertension (PHT) is present. However, the determinants of exercise PHT have not been evaluated. The aim of this study was to identify the echocardiographic predictors of exercise PHT and the impact on symptoms. Comprehensive resting and exercise transthoracic echocardiography was performed in 78 consecutive patients (age, 61+/-13 years; 56% men) with at least moderate degenerative mitral regurgitation (effective regurgitant orifice area =43+/-20 mm(2); regurgitant volume =71+/-27 mL). Exercise PHT was defined as a systolic pulmonary arterial pressure (SPAP) >60 mm Hg. Exercise PHT was present in 46% patients. In multivariable analysis, exercise effective regurgitant orifice was an independent determinant of exercise SPAP (Pexercise PHT (P=0.002). Resting PHT and exercise PHT were associated with markedly reduced 2-year symptom-free survival (36+/-14% versus 59+/-7%, P=0.04; 35+/-8% versus 75+/-7%, Pexercise PHT was identified as an independent predictor of the occurrence of symptoms (hazard ratio=3.4; P=0.002). Receiver-operating characteristics curves revealed that exercise PHT (SPAP >56 mm Hg) was more accurate than resting PHT (SPAP >36 mm Hg) in predicting the occurrence of symptoms during follow-up (P=0.032). Exercise PHT is frequent in patients with asymptomatic degenerative mitral regurgitation. Exercise mitral regurgitation severity is a strong independent predictor of both exercise SPAP and exercise PHT. Exercise PHT is associated with markedly low 2-year symptom-free survival, emphasizing the use of exercise echocardiography. An exercise SPAP >56 mm Hg accurately predicts the occurrence of symptoms.

The FOSS GIS Workbench on the GFZ Load Sharing Facility compute cluster

Science.gov (United States)

Löwe, P.; Klump, J.; Thaler, J.

2012-04-01

Compute clusters can be used as GIS workbenches, their wealth of resources allow us to take on geocomputation tasks which exceed the limitations of smaller systems. To harness these capabilities requires a Geographic Information System (GIS), able to utilize the available cluster configuration/architecture and a sufficient degree of user friendliness to allow for wide application. In this paper we report on the first successful porting of GRASS GIS, the oldest and largest Free Open Source (FOSS) GIS project, onto a compute cluster using Platform Computing's Load Sharing Facility (LSF). In 2008, GRASS6.3 was installed on the GFZ compute cluster, which at that time comprised 32 nodes. The interaction with the GIS was limited to the command line interface, which required further development to encapsulate the GRASS GIS business layer to facilitate its use by users not familiar with GRASS GIS. During the summer of 2011, multiple versions of GRASS GIS (v 6.4, 6.5 and 7.0) were installed on the upgraded GFZ compute cluster, now consisting of 234 nodes with 480 CPUs providing 3084 cores. The GFZ compute cluster currently offers 19 different processing queues with varying hardware capabilities and priorities, allowing for fine-grained scheduling and load balancing. After successful testing of core GIS functionalities, including the graphical user interface, mechanisms were developed to deploy scripted geocomputation tasks onto dedicated processing queues. The mechanisms are based on earlier work by NETELER et al. (2008). A first application of the new GIS functionality was the generation of maps of simulated tsunamis in the Mediterranean Sea for the Tsunami Atlas of the FP-7 TRIDEC Project (www.tridec-online.eu). For this, up to 500 processing nodes were used in parallel. Further trials included the processing of geometrically complex problems, requiring significant amounts of processing time. The GIS cluster successfully completed all these tasks, with processing times

Quantitative exercise thallium-201 scintigraphy for predicting angina recurrence after percutaneous transluminal coronary angioplasty

International Nuclear Information System (INIS)

Stuckey, T.D.; Burwell, L.R.; Nygaard, T.W.; Gibson, R.S.; Watson, D.D.; Beller, G.A.

1989-01-01

The aim of this prospective study was to determine the value of quantitative exercise thallium-201 scintigraphy for predicting short-term outcome in patients after percutaneous transluminal coronary angioplasty (PTCA). Quantitative exercise thallium-201 scintigraphy was performed 2.2 +/- 1.2 weeks after successful PTCA in 68 asymptomatic patients, 64 (94%) of whom had class III or IV angina before the procedure. Clinical follow-up was obtained in all patients at a mean of 10 +/- 2 months and all were followed for at least 6 months; 45 patients (66%) remained asymptomatic during follow-up and 23 (34%) developed recurrent class III or IV angina at a mean of 2.6 +/- 1.2 months. Multivariate analysis of 22 clinical, angiographic and exercise test variables revealed that thallium-201 redistribution, any thallium scan abnormality, presence of a distal stenosis and treadmill time were the only significant predictors of recurrent angina after PTCA. Using a stepwise discriminant function model, thallium-201 redistribution was the only significant independent predictor. Despite its prognostic value relative to other variables as a predictor, thallium redistribution at 2 weeks after PTCA was only detected in 9 of the 23 patients (39%) who subsequently developed recurrent angina, although only 2 of the 45 patients (9%) who remained asymptomatic during follow-up demonstrated thallium-201 redistribution at the time of early testing. After repeat angiography was performed in 17 of the 23 patients with recurrent angina, 14 (82%) demonstrated restenosis and 3 (18%) had worse narrowing distal to or remote from the site of dilatation

Using a Web GIS Plate Tectonics Simulation to Promote Geospatial Thinking

Science.gov (United States)

Bodzin, Alec M.; Anastasio, David; Sharif, Rajhida; Rutzmoser, Scott

2016-01-01

Learning with Web-based geographic information system (Web GIS) can promote geospatial thinking and analysis of georeferenced data. Web GIS can enable learners to analyze rich data sets to understand spatial relationships that are managed in georeferenced data visualizations. We developed a Web GIS plate tectonics simulation as a capstone learning…

Designing GIS Learning Materials for K-12 Teachers

Science.gov (United States)

Hong, Jung Eun

2017-01-01

Although previous studies have proven the usefulness and effectiveness of geographic information system (GIS) use in the K-12 classroom, the rate of teacher adoption remains low. The identified major barrier to its use is a lack of teachers' background and experience. To solve this limitation, many organisations have provided GIS-related teacher…

A twin-sibling study on the relationship between exercise attitudes and exercise behavior.

Science.gov (United States)

Huppertz, Charlotte; Bartels, Meike; Jansen, Iris E; Boomsma, Dorret I; Willemsen, Gonneke; de Moor, Marleen H M; de Geus, Eco J C

2014-01-01

Social cognitive models of health behavior propose that individual differences in leisure time exercise behavior are influenced by the attitudes towards exercise. At the same time, large scale twin-family studies show a significant influence of genetic factors on regular exercise behavior. This twin-sibling study aimed to unite these findings by demonstrating that exercise attitudes can be heritable themselves. Secondly, the genetic and environmental cross-trait correlations and the monozygotic (MZ) twin intrapair differences model were used to test whether the association between exercise attitudes and exercise behavior can be causal. Survey data were obtained from 5,095 twins and siblings (18-50 years). A genetic contribution was found for exercise behavior (50 % in males, 43 % in females) and for the six exercise attitude components derived from principal component analysis: perceived benefits (21, 27 %), lack of skills, support and/or resources (45, 48 %), time constraints (25, 30 %), lack of energy (34, 44 %), lack of enjoyment (47, 44 %), and embarrassment (42, 49 %). These components were predictive of leisure time exercise behavior (R(2) = 28 %). Bivariate modeling further showed that all the genetic (0.36 exercise attitudes and exercise behavior were significantly different from zero, which is a necessary condition for the existence of a causal effect driving the association. The correlations between the MZ twins' difference scores were in line with this finding. It is concluded that exercise attitudes and exercise behavior are heritable, that attitudes and behavior are partly correlated through pleiotropic genetic effects, but that the data are compatible with a causal association between exercise attitudes and behavior.

Assessment of Meteorological Drought Hazard Area using GIS in ...

African Journals Online (AJOL)

Michael Horsfall

The purpose of this study was to make a model of the meteorological drought hazard area using GIS. ... overlaying different hazard indicator maps in the GIS, deploying the new model. The final ..... Northeast Thailand Project Bangkok. Min. of.

The use of GIS tools for road infrastructure safety management

Science.gov (United States)

Budzyński, Marcin; Kustra, Wojciech; Okraszewska, Romanika; Jamroz, Kazimierz; Pyrchla, Jerzy

2018-01-01

There are many factors that influence accidents and their severity. They can be grouped within the system of man, vehicle and environment. The article focuses on how GIS tools can be used to manage road infrastructure safety. To ensure a better understanding and identification of road factors, GIS tools help with the acquisition of road parameter data. Their other role is helping with a clear and effective presentation of risk ranking. GIS is key to identifying high-risk sections and supports the effective communication of safety levels. This makes it a vital element of safety management. The article describes the use of GIS for the collection and visualisation of road parameter data which are not available in any of the existing databases, i.e. horizontal curve parameters. As we know from research and statistics, they are important factors that determine the safety of road infrastructure. Finally, new research is proposed as well as the possibilities for applying GIS tools for the purposes of road safety inspection.

Social support and social norms: do both contribute to predicting leisure-time exercise?

Science.gov (United States)

Okun, Morris A; Ruehlman, Linda; Karoly, Paul; Lutz, Rafer; Fairholme, Chris; Schaub, Rachel

2003-01-01

To clarify the contribution of social support and social norms to exercise behavior. A sample of 363 college students completed a questionnaire that assessed social support and social negativity from friends, descriptive and injunctive social norms related to friends, perceived behavioral control, attitude, intention, and leisure-time exercise. Esteem social support was the strongest predictor of total and strenuous leisure-time exercise (P leisure-time exercise. Social support and social norms contribute independently to our understanding of variation in the frequency of strenuous leisure-time exercise.

Basic survey for coal resources exploitation for Fiscal 1998. Coal GIS survey; 1998 nendo seitan shigeh kaihatsu kiso chosa. Sekitan GIS chosa

Energy Technology Data Exchange (ETDEWEB)

NONE

1999-03-01

For the construction of a coal mine assessment technology system, surveys are conducted on the current state and technology trends of resources-related GIS (geographical information system) in other countries. When one ponders over coal-rich areas to be newly explored and developed in one's study on the stable exploitation of coal abroad and its import to this country, what interests one gradually shifts from known superior large-scale coal mine areas to next-generation coal mine areas yet to be exploited. Accordingly, it is mandatory to build an assessment-oriented comprehensive technology system capable of promptly dealing with any changes in natural, geological conditions that may be presented by coal mines to be exploited. Although GIS is recognized as a useful means not only in the field of natural science but also in other fields whose data may be plotted on a map, its position is not yet established when it comes to coal resources. It is therefore necessary to promptly introduce GIS into the field of coal. In fiscal 1998, on-site surveys were conducted not only in Japan but also in the U.S., Canada, and Australia who are senior to Japan in terms of GIS application. Also, information was collected from literature and via Internet, surveys were conducted about the use of GIS in the field of earth science especially in the field of coal resources, and the state of the digital data utilizing setup indispensable for the proper operation of GIS was investigated. (NEDO)

Usefulness of exercise electrocardiography and thallium scintigraphy in unstable angina pectoris in predicting the extent and severity of coronary artery disease

International Nuclear Information System (INIS)

Freeman, M.R.; Chisholm, R.J.; Armstrong, P.W.

1988-01-01

The safety and efficacy of exercise electrocardiography and thallium scintigraphy early in the course of unstable angina pectoris were assessed 4.6 +/- 1.6 days after admission in 67 patients with unstable angina that stabilized after medical therapy. Coronary arteriography was performed in all patients 5.4 +/- 2.4 days after admission. There was no difference in clinical, exercise or scintigraphic variables between patients with stenoses less than 50% and patients with 1-vessel coronary artery disease (CAD) defined as a diameter stenosis greater than or equal to 50%. Patients with 3-vessel CAD had a significantly shorter exercise duration than patients with less than 50%-diameter narrowing (5.5 +/- 2.2 vs 8.3 +/- 3.3 minutes, respectively), lower exercise heart rate (119 +/- 20 vs 149 +/- 22 beats/min) and systolic blood pressure (156 +/- 29 vs 166 +/- 33 mm Hg), more frequent chest pain (76 vs 20%) and more pronounced ST depression (-1.48 +/- 1.37 vs -0.33 +/- 0.72 mm). In addition, thallium defect size on exercise was greater in the patients with 2-vessel CAD (159 +/- 132 degrees) and 3-vessel CAD (255 +/- 132 degrees) than in patients with no CAD (28 +/- 319 degrees) or 1-vessel CAD (73 +/- 78 degrees), p greater than or equal to 0.05. Multiple regression analysis demonstrated that thallium defect size was the best predictor of extent of CAD, with exercise heart rate and presence of chest pain during exercise also predictive of extent of CAD

Application of GIS Rapid Mapping Technology in Disaster Monitoring

Science.gov (United States)

Wang, Z.; Tu, J.; Liu, G.; Zhao, Q.

2018-04-01

With the rapid development of GIS and RS technology, especially in recent years, GIS technology and its software functions have been increasingly mature and enhanced. And with the rapid development of mathematical statistical tools for spatial modeling and simulation, has promoted the widespread application and popularization of quantization in the field of geology. Based on the investigation of field disaster and the construction of spatial database, this paper uses remote sensing image, DEM and GIS technology to obtain the data information of disaster vulnerability analysis, and makes use of the information model to carry out disaster risk assessment mapping.Using ArcGIS software and its spatial data modeling method, the basic data information of the disaster risk mapping process was acquired and processed, and the spatial data simulation tool was used to map the disaster rapidly.

HiGIS: An Open Framework for High Performance Geographic Information System

Directory of Open Access Journals (Sweden)

XIONG, W.

2015-08-01

Full Text Available Big data era expose many challenges to geospatial data management, geocomputation and cartography. There is no exception in geographic information systems (GIS community. Technologies and facilities of high performance computing (HPC become more and more feasible to researchers, while mobile computing, ubiquitous computing, and cloud computing are emerging. But traditional GIS need to be improved to take advantages of all these evolutions. We proposed and implemented a GIS married with high performance computing, which is called HiGIS. The goal of HiGIS is to promote the performance of geocomputation by leveraging the power of HPC, and to build an open framework for geospatial data storing, processing, displaying and sharing. In this paper the architecture, data model and modules of the HiGIS system are introduced. A geocomputation scheduling engine based on communicating sequential process was designed to exploit spatial analysis and processing. Parallel I/O strategy using file view was proposed to improve the performance of geospatial raster data access. In order to support web-based online mapping, an interactive cartographic script was provided to represent a map. A demostration of locating house was used to manifest the characteristics of HiGIS. Parallel and concurrency performance experiments show the feasibility of this system.

GIS Methodology for Planning Planetary-Rover Operations

Science.gov (United States)

Powell, Mark; Norris, Jeffrey; Fox, Jason; Rabe, Kenneth; Shu, I-Hsiang

2007-01-01

A document describes a methodology for utilizing image data downlinked from cameras aboard a robotic ground vehicle (rover) on a remote planet for analyzing and planning operations of the vehicle and of any associated spacecraft. Traditionally, the cataloging and presentation of large numbers of downlinked planetary-exploration images have been done by use of two organizational methods: temporal organization and correlation between activity plans and images. In contrast, the present methodology involves spatial indexing of image data by use of the computational discipline of geographic information systems (GIS), which has been maturing in terrestrial applications for decades, but, until now, has not been widely used in support of exploration of remote planets. The use of GIS to catalog data products for analysis is intended to increase efficiency and effectiveness in planning rover operations, just as GIS has proven to be a source of powerful computational tools in such terrestrial endeavors as law enforcement, military strategic planning, surveying, political science, and epidemiology. The use of GIS also satisfies the need for a map-based user interface that is intuitive to rover-activity planners, many of whom are deeply familiar with maps and know how to use them effectively in field geology.

Propagation of positional error in 3D GIS

NARCIS (Netherlands)

Biljecki, Filip; Heuvelink, Gerard B.M.; Ledoux, Hugo; Stoter, Jantien

2015-01-01

While error propagation in GIS is a topic that has received a lot of attention, it has not been researched with 3D GIS data. We extend error propagation to 3D city models using a Monte Carlo simulation on a use case of annual solar irradiation estimation of building rooftops for assessing the

Application of GIS technology in public health: successes and challenges.

Science.gov (United States)

Fletcher-Lartey, Stephanie M; Caprarelli, Graziella

2016-04-01

The uptake and acceptance of Geographic Information Systems (GIS) technology has increased since the early 1990s and public health applications are rapidly expanding. In this paper, we summarize the common uses of GIS technology in the public health sector, emphasizing applications related to mapping and understanding of parasitic diseases. We also present some of the success stories, and discuss the challenges that still prevent a full scope application of GIS technology in the public health context. Geographical analysis has allowed researchers to interlink health, population and environmental data, thus enabling them to evaluate and quantify relationships between health-related variables and environmental risk factors at different geographical scales. The ability to access, share and utilize satellite and remote-sensing data has made possible even wider understanding of disease processes and of their links to the environment, an important consideration in the study of parasitic diseases. For example, disease prevention and control strategies resulting from investigations conducted in a GIS environment have been applied in many areas, particularly in Africa. However, there remain several challenges to a more widespread use of GIS technology, such as: limited access to GIS infrastructure, inadequate technical and analytical skills, and uneven data availability. Opportunities exist for international collaboration to address these limitations through knowledge sharing and governance.

The use of GIS-based support of recreational trail planning by local governments

DEFF Research Database (Denmark)

Olafsson, Anton Stahl; Skov-Petersen, Hans

2014-01-01

In the last decade, multiple GIS-based planning support systems have been developed in order to improve the basis for spatial planning. Recent research has focused on problems regarding a lack of utilisation or barriers to the use of advanced GIS and GIS-based planning support systems in planning...... applications. This paper discusses these research findings in the context of outdoor recreational planning by local governments in Denmark. According to a national survey of municipal planners, GIS-based planning support is widely used in Denmark, but more GIS is needed and is being requested for local outdoor...... recreation planning. However, considerable differences exist between the ways municipalities assess their need for and use of GIS planning support. These differences are explored in more detail using a factor analysis of planning variables and uses of GIS. Three situations are described: 1) extensive network...

Integrating ArcGIS Online with GEOSS Data Access Broker

Science.gov (United States)

Lucchi, Roberto; Hogeweg, Marten

2014-05-01

The Global Earth Observation System of Systems (GEOSS) seeks to address 9 societal benefit areas for Earth observations to address: disasters, health, energy, climate, agriculture, ecosystems, biodiversity, water, and weather. As governments and their partners continue to monitor the face of the Earth, the collection, storage, analysis, and sharing of these observations remain fragmented, incomplete, or redundant. Major observational gaps also remain (particularly as we seek to look beneath the surface of the land and the water). As such, GEO's credo is that "decision makers need a global, coordinated, comprehensive, and sustained system of observing systems." Not surprisingly, one of the largest block of issues facing GEOSS is in the area of data: the access to data (including the building services to make the data more accessible), inadequate data integration and interoperability, error and uncertainty of observations, spatial and temporal gaps in observations, and the related issues of user involvement and capacity building. This is especially for people who stand to gain the most benefit from the datasets, but don't have the resources or knowledge to use them. Esri has millions of GIS and imagery users in hundreds of thousands of organizations around the world that work in the aforementioned 9 GEO societal benefit areas. Esri is therefore proud to have entered into a partnership with GEOSS, more specifically by way of a Memorandum of Understanding (MOU) between Esri and the Earth and Space Science Informatics (ESSI) Laboratory of Prof. Stefano Nativi at the CNR (National Research Council of Italy) Institute of Atmospheric Pollution Research. Esri is working with the ESSI Lab to integrate ArcGIS Online by way of the ArcGIS Online API into the GEOSS Data Access Broker (DAB), resulting in the discoverability of all public content from ArcGIS Online through many of the search portals that participate in this network (e.g., DataOne, CEOS, CUAHSI, OneGeology, IOOS

Exercise motivational regulations and exercise addiction: The mediating role of passion.

Science.gov (United States)

Sicilia, Álvaro; Alcaraz-Ibáñez, Manuel; Lirola, María-Jesús; Burgueño, Rafael; Maher, Anthony

2018-05-23

Background and aims The study explored the mediating role of forms of passion in the relationship between motivational regulations in exercise and exercise addiction (EA). Methods A total of 485 university students (368 males and 117 females; M age  = 20.43, SD = 3.21) completed a questionnaire measuring the frequency and intensity of exercise, motivational regulations in exercise, passion for exercise, and EA. Controlling the effects of age, frequency, and intensity of practice, the relationships between the study variables were examined though a path analysis. Results Both self-determined and non-self-determined forms of motivation showed positive association with EA. The forms of motivation with greatest predictive power for EA were introjected and integrated regulations. Both forms of motivation had positive direct and indirect effects through obsessive passion (OP) on EA; however, integrated regulation also showed negative indirect effects through harmonious passion on EA. Conclusions Both forms of passion and, especially, OP, seem to affect how motivational regulations are associated with EA. These findings clarify the association found in previous studies between self-determined forms of motivation and EA.

A geographic approach to modelling human exposure to traffic air pollution using GIS. Separate appendix report

Energy Technology Data Exchange (ETDEWEB)

Solvang Jensen, S.

1998-10-01

A new exposure model has been developed that is based on a physical, single media (air) and single source (traffic) micro environmental approach that estimates traffic related exposures geographically with the postal address as exposure indicator. The micro environments: residence, workplace and street (road user exposure) may be considered. The model estimates outdoor levels for selected ambient air pollutants (benzene, CO, NO{sub 2} and O{sub 3}). The influence of outdoor air pollution on indoor levels can be estimated using average (I/O-ratios. The model has a very high spatial resolution (the address), a high temporal resolution (one hour) and may be used to predict past, present and future exposures. The model may be used for impact assessment of control measures provided that the changes to the model inputs are obtained. The exposure model takes advantage of a standard Geographic Information System (GIS) (ArcView and Avenue) for generation of inputs, for visualisation of input and output, and uses available digital maps, national administrative registers and a local traffic database, and the Danish Operational Street Pollution Model (OSPM). The exposure model presents a new approach to exposure determination by integration of digital maps, administrative registers, a street pollution model and GIS. New methods have been developed to generate the required input parameters for the OSPM model: to geocode buildings using cadastral maps and address points, to automatically generate street configuration data based on digital maps, the BBR and GIS; to predict the temporal variation in traffic and related parameters; and to provide hourly background levels for the OSPM model. (EG)

Exercise habit formation in new gym members: a longitudinal study.

Science.gov (United States)

Kaushal, Navin; Rhodes, Ryan E

2015-08-01

Reasoned action approaches have primarily been applied to understand exercise behaviour for the past three decades, yet emerging findings in unconscious and Dual Process research show that behavior may also be predicted by automatic processes such as habit. The purpose of this study was to: (1) investigate the behavioral requirements for exercise habit formation, (2) how Dual Process approach predicts behaviour, and (3) what predicts habit by testing a model (Lally and Gardner in Health Psychol Rev 7:S137-S158, 2013). Participants (n = 111) were new gym members who completed surveys across 12 weeks. It was found that exercising for at least four bouts per week for 6 weeks was the minimum requirement to establish an exercise habit. Dual Process analysis using Linear Mixed Models (LMM) revealed habit and intention to be parallel predictors of exercise behavior in the trajectory analysis. Finally, the habit antecedent model in LLM showed that consistency (β = .21), low behavioral complexity (β = .19), environment (β = .17) and affective judgments (β = .13) all significantly (p < .05) predicted changes in habit formation over time. Trainers should keep exercises fun and simple for new clients and focus on consistency which could lead to habit formation in nearly 6 weeks.

Consequences of objective self-awareness during exercise

Directory of Open Access Journals (Sweden)

Jessica E Cornick

2015-07-01

Full Text Available Although exercise is recommended by healthcare professionals for nearly everyone, adverse reactions can occur following exercising for some overweight individuals. The reported study investigated the cardiovascular consequences of exercise in a stressful environment. In all, 60 females completed two baseline and one biking (i.e. ergometer periods while cardiovascular and self-report measures were recorded. Findings indicated that those who are more self-aware showed cardiovascular response patterns indicative of threat. Additionally, post-task exercise self-efficacy levels predicted intentions to exercise at a demanding level in the coming week. These findings suggest exercise may exacerbate health issues for some individuals for whom it is recommended.

Use of Wild Bird Surveillance, Human Case Data and GIS Spatial Analysis for Predicting Spatial Distributions of West Nile Virus in Greece

Science.gov (United States)

Valiakos, George; Papaspyropoulos, Konstantinos; Giannakopoulos, Alexios; Birtsas, Periklis; Tsiodras, Sotirios; Hutchings, Michael R.; Spyrou, Vassiliki; Pervanidou, Danai; Athanasiou, Labrini V.; Papadopoulos, Nikolaos; Tsokana, Constantina; Baka, Agoritsa; Manolakou, Katerina; Chatzopoulos, Dimitrios; Artois, Marc; Yon, Lisa; Hannant, Duncan; Petrovska, Liljana; Hadjichristodoulou, Christos; Billinis, Charalambos

2014-01-01

West Nile Virus (WNV) is the causative agent of a vector-borne, zoonotic disease with a worldwide distribution. Recent expansion and introduction of WNV into new areas, including southern Europe, has been associated with severe disease in humans and equids, and has increased concerns regarding the need to prevent and control future WNV outbreaks. Since 2010, 524 confirmed human cases of the disease have been reported in Greece with greater than 10% mortality. Infected mosquitoes, wild birds, equids, and chickens have been detected and associated with human disease. The aim of our study was to establish a monitoring system with wild birds and reported human cases data using Geographical Information System (GIS). Potential distribution of WNV was modelled by combining wild bird serological surveillance data with environmental factors (e.g. elevation, slope, land use, vegetation density, temperature, precipitation indices, and population density). Local factors including areas of low altitude and proximity to water were important predictors of appearance of both human and wild bird cases (Odds Ratio = 1,001 95%CI = 0,723–1,386). Using GIS analysis, the identified risk factors were applied across Greece identifying the northern part of Greece (Macedonia, Thrace) western Greece and a number of Greek islands as being at highest risk of future outbreaks. The results of the analysis were evaluated and confirmed using the 161 reported human cases of the 2012 outbreak predicting correctly (Odds = 130/31 = 4,194 95%CI = 2,841–6,189) and more areas were identified for potential dispersion in the following years. Our approach verified that WNV risk can be modelled in a fast cost-effective way indicating high risk areas where prevention measures should be implemented in order to reduce the disease incidence. PMID:24806216

Use of wild bird surveillance, human case data and GIS spatial analysis for predicting spatial distributions of West Nile virus in Greece.

Directory of Open Access Journals (Sweden)

George Valiakos

Full Text Available West Nile Virus (WNV is the causative agent of a vector-borne, zoonotic disease with a worldwide distribution. Recent expansion and introduction of WNV into new areas, including southern Europe, has been associated with severe disease in humans and equids, and has increased concerns regarding the need to prevent and control future WNV outbreaks. Since 2010, 524 confirmed human cases of the disease have been reported in Greece with greater than 10% mortality. Infected mosquitoes, wild birds, equids, and chickens have been detected and associated with human disease. The aim of our study was to establish a monitoring system with wild birds and reported human cases data using Geographical Information System (GIS. Potential distribution of WNV was modelled by combining wild bird serological surveillance data with environmental factors (e.g. elevation, slope, land use, vegetation density, temperature, precipitation indices, and population density. Local factors including areas of low altitude and proximity to water were important predictors of appearance of both human and wild bird cases (Odds Ratio = 1,001 95%CI = 0,723-1,386. Using GIS analysis, the identified risk factors were applied across Greece identifying the northern part of Greece (Macedonia, Thrace western Greece and a number of Greek islands as being at highest risk of future outbreaks. The results of the analysis were evaluated and confirmed using the 161 reported human cases of the 2012 outbreak predicting correctly (Odds = 130/31 = 4,194 95%CI = 2,841-6,189 and more areas were identified for potential dispersion in the following years. Our approach verified that WNV risk can be modelled in a fast cost-effective way indicating high risk areas where prevention measures should be implemented in order to reduce the disease incidence.

Use of wild bird surveillance, human case data and GIS spatial analysis for predicting spatial distributions of West Nile virus in Greece.

Science.gov (United States)

Valiakos, George; Papaspyropoulos, Konstantinos; Giannakopoulos, Alexios; Birtsas, Periklis; Tsiodras, Sotirios; Hutchings, Michael R; Spyrou, Vassiliki; Pervanidou, Danai; Athanasiou, Labrini V; Papadopoulos, Nikolaos; Tsokana, Constantina; Baka, Agoritsa; Manolakou, Katerina; Chatzopoulos, Dimitrios; Artois, Marc; Yon, Lisa; Hannant, Duncan; Petrovska, Liljana; Hadjichristodoulou, Christos; Billinis, Charalambos

2014-01-01

West Nile Virus (WNV) is the causative agent of a vector-borne, zoonotic disease with a worldwide distribution. Recent expansion and introduction of WNV into new areas, including southern Europe, has been associated with severe disease in humans and equids, and has increased concerns regarding the need to prevent and control future WNV outbreaks. Since 2010, 524 confirmed human cases of the disease have been reported in Greece with greater than 10% mortality. Infected mosquitoes, wild birds, equids, and chickens have been detected and associated with human disease. The aim of our study was to establish a monitoring system with wild birds and reported human cases data using Geographical Information System (GIS). Potential distribution of WNV was modelled by combining wild bird serological surveillance data with environmental factors (e.g. elevation, slope, land use, vegetation density, temperature, precipitation indices, and population density). Local factors including areas of low altitude and proximity to water were important predictors of appearance of both human and wild bird cases (Odds Ratio = 1,001 95%CI = 0,723-1,386). Using GIS analysis, the identified risk factors were applied across Greece identifying the northern part of Greece (Macedonia, Thrace) western Greece and a number of Greek islands as being at highest risk of future outbreaks. The results of the analysis were evaluated and confirmed using the 161 reported human cases of the 2012 outbreak predicting correctly (Odds = 130/31 = 4,194 95%CI = 2,841-6,189) and more areas were identified for potential dispersion in the following years. Our approach verified that WNV risk can be modelled in a fast cost-effective way indicating high risk areas where prevention measures should be implemented in order to reduce the disease incidence.

Application of Geographic Information System (GIS to Model the Hydrocarbon Migration: Case Study from North-East Malay Basin, Malaysia

Directory of Open Access Journals (Sweden)

Rudini

2018-01-01

Full Text Available The purpose of this study is to model the migration of hydrocarbon using Geographic Information System (GIS. Understanding hydrocarbon migration is important since it can mean the difference between success and failure in oil and gas exploration project. The hydrocarbon migration modeling using geophysical method is still not accurate due to the limitations of available data. In recent years, GIS has emerged as a powerful tool for subsurface mapping and analysis. Recent studies have been carried out about the abilities of GIS to model hydrocarbon migration. Recent advances in GIS support the establishment and monitoring of prediction hydrocarbon migration. The concept, model, and calculation are based on the current geological situation. The spatial data of hydrocarbon reservoirs is determined by its geometry of lithology and geophysical attributes. Top of Group E horizon of north-east Malay basin was selected as the study area due to the occurrence of hydrocarbon migration. Spatial data and attributes data such as seismic data, wells log data and lithology were acquired and processed. Digital Elevation Model (DEM was constructed from the selected horizon as a result of seismic interpretation using the Petrel software. Furthermore, DEM was processed in ArcGIS as a base map to shown hydrocarbon migration in north-east Malay Basin. Finally, all the data layers were overlaid to produce a map of hydrocarbon migration. A good data was imported to verify the model is correct.

Application of Geographic Information System (GIS) to Model the Hydrocarbon Migration: Case Study from North-East Malay Basin, Malaysia

Science.gov (United States)

Rudini; Nasir Matori, Abd; Talib, Jasmi Ab; Balogun, Abdul-Lateef

2018-03-01

The purpose of this study is to model the migration of hydrocarbon using Geographic Information System (GIS). Understanding hydrocarbon migration is important since it can mean the difference between success and failure in oil and gas exploration project. The hydrocarbon migration modeling using geophysical method is still not accurate due to the limitations of available data. In recent years, GIS has emerged as a powerful tool for subsurface mapping and analysis. Recent studies have been carried out about the abilities of GIS to model hydrocarbon migration. Recent advances in GIS support the establishment and monitoring of prediction hydrocarbon migration. The concept, model, and calculation are based on the current geological situation. The spatial data of hydrocarbon reservoirs is determined by its geometry of lithology and geophysical attributes. Top of Group E horizon of north-east Malay basin was selected as the study area due to the occurrence of hydrocarbon migration. Spatial data and attributes data such as seismic data, wells log data and lithology were acquired and processed. Digital Elevation Model (DEM) was constructed from the selected horizon as a result of seismic interpretation using the Petrel software. Furthermore, DEM was processed in ArcGIS as a base map to shown hydrocarbon migration in north-east Malay Basin. Finally, all the data layers were overlaid to produce a map of hydrocarbon migration. A good data was imported to verify the model is correct.

Automating the Fireshed Assessment Process with ArcGIS

Science.gov (United States)

Alan Ager; Klaus Barber

2006-01-01

A library of macros was developed to automate the Fireshed process within ArcGIS. The macros link a number of vegetation simulation and wildfire behavior models (FVS, SVS, FARSITE, and FlamMap) with ESRI geodatabases, desktop software (Access, Excel), and ArcGIS. The macros provide for (1) an interactive linkage between digital imagery, vegetation data, FVS-FFE, and...

Prevalence and prediction of exercise-induced oxygen desaturation in patients with chronic obstructive pulmonary disease.

Science.gov (United States)

van Gestel, A J R; Clarenbach, C F; Stöwhas, A C; Teschler, S; Russi, E W; Teschler, H; Kohler, M

2012-01-01

Previous studies with small sample sizes reported contradicting findings as to whether pulmonary function tests can predict exercise-induced oxygen desaturation (EID). To evaluate whether forced expiratory volume in one second (FEV(1)), resting oxygen saturation (SpO(2)) and diffusion capacity for carbon monoxide (DLCO) are predictors of EID in chronic obstructive pulmonary disease (COPD). We measured FEV(1), DLCO, SpO(2) at rest and during a 6-min walking test as well as physical activity by an accelerometer. A drop in SpO(2) of >4 to daily physical activity (r = -0.31, p = 0.008). EID is highly prevalent among patients with COPD and can be predicted by FEV(1). EID seems to be associated with impaired daily physical activity which supports its clinical importance. Copyright © 2012 S. Karger AG, Basel.

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Directory of Open Access Journals (Sweden)

Omid Rahmati

2016-05-01

Full Text Available Flood is considered to be the most common natural disaster worldwide during the last decades. Flood hazard potential mapping is required for management and mitigation of flood. The present research was aimed to assess the efficiency of analytical hierarchical process (AHP to identify potential flood hazard zones by comparing with the results of a hydraulic model. Initially, four parameters via distance to river, land use, elevation and land slope were used in some part of the Yasooj River, Iran. In order to determine the weight of each effective factor, questionnaires of comparison ratings on the Saaty's scale were prepared and distributed to eight experts. The normalized weights of criteria/parameters were determined based on Saaty's nine-point scale and its importance in specifying flood hazard potential zones using the AHP and eigenvector methods. The set of criteria were integrated by weighted linear combination method using ArcGIS 10.2 software to generate flood hazard prediction map. The inundation simulation (extent and depth of flood was conducted using hydrodynamic program HEC-RAS for 50- and 100-year interval floods. The validation of the flood hazard prediction map was conducted based on flood extent and depth maps. The results showed that the AHP technique is promising of making accurate and reliable prediction for flood extent. Therefore, the AHP and geographic information system (GIS techniques are suggested for assessment of the flood hazard potential, specifically in no-data regions.

Habitat features and predictive habitat modeling for the Colorado chipmunk in southern New Mexico

Science.gov (United States)

Rivieccio, M.; Thompson, B.C.; Gould, W.R.; Boykin, K.G.

2003-01-01

Two subspecies of Colorado chipmunk (state threatened and federal species of concern) occur in southern New Mexico: Tamias quadrivittatus australis in the Organ Mountains and T. q. oscuraensis in the Oscura Mountains. We developed a GIS model of potentially suitable habitat based on vegetation and elevation features, evaluated site classifications of the GIS model, and determined vegetation and terrain features associated with chipmunk occurrence. We compared GIS model classifications with actual vegetation and elevation features measured at 37 sites. At 60 sites we measured 18 habitat variables regarding slope, aspect, tree species, shrub species, and ground cover. We used logistic regression to analyze habitat variables associated with chipmunk presence/absence. All (100%) 37 sample sites (28 predicted suitable, 9 predicted unsuitable) were classified correctly by the GIS model regarding elevation and vegetation. For 28 sites predicted suitable by the GIS model, 18 sites (64%) appeared visually suitable based on habitat variables selected from logistic regression analyses, of which 10 sites (36%) were specifically predicted as suitable habitat via logistic regression. We detected chipmunks at 70% of sites deemed suitable via the logistic regression models. Shrub cover, tree density, plant proximity, presence of logs, and presence of rock outcrop were retained in the logistic model for the Oscura Mountains; litter, shrub cover, and grass cover were retained in the logistic model for the Organ Mountains. Evaluation of predictive models illustrates the need for multi-stage analyses to best judge performance. Microhabitat analyses indicate prospective needs for different management strategies between the subspecies. Sensitivities of each population of the Colorado chipmunk to natural and prescribed fire suggest that partial burnings of areas inhabited by Colorado chipmunks in southern New Mexico may be beneficial. These partial burnings may later help avoid a fire

A prognostic scoring system for arm exercise stress testing.

Science.gov (United States)

Xie, Yan; Xian, Hong; Chandiramani, Pooja; Bainter, Emily; Wan, Leping; Martin, Wade H

2016-01-01

Arm exercise stress testing may be an equivalent or better predictor of mortality outcome than pharmacological stress imaging for the ≥50% for patients unable to perform leg exercise. Thus, our objective was to develop an arm exercise ECG stress test scoring system, analogous to the Duke Treadmill Score, for predicting outcome in these individuals. In this retrospective observational cohort study, arm exercise ECG stress tests were performed in 443 consecutive veterans aged 64.1 (11.1) years. (mean (SD)) between 1997 and 2002. From multivariate Cox models, arm exercise scores were developed for prediction of 5-year and 12-year all-cause and cardiovascular mortality and 5-year cardiovascular mortality or myocardial infarction (MI). Arm exercise capacity in resting metabolic equivalents (METs), 1 min heart rate recovery (HRR) and ST segment depression ≥1 mm were the stress test variables independently associated with all-cause and cardiovascular mortality by step-wise Cox analysis (all pstatistic of 0.81 before and 0.88 after adjustment for significant demographic and clinical covariates. Arm exercise scores for the other outcome end points yielded C-statistic values of 0.77-0.79 before and 0.82-0.86 after adjustment for significant covariates versus 0.64-0.72 for best fit pharmacological myocardial perfusion imaging models in a cohort of 1730 veterans who were evaluated over the same time period. Arm exercise scores, analogous to the Duke Treadmill Score, have good power for prediction of mortality or MI in patients who cannot perform leg exercise.

A GIS-based disaggregate spatial watershed analysis using RADAR data

International Nuclear Information System (INIS)

Al-Hamdan, M.

2002-01-01

Hydrology is the study of water in all its forms, origins, and destinations on the earth.This paper develops a novel modeling technique using a geographic information system (GIS) to facilitate watershed hydrological routing using RADAR data. The RADAR rainfall data, segmented to 4 km by 4 km blocks, divides the watershed into several sub basins which are modeled independently. A case study for the GIS-based disaggregate spatial watershed analysis using RADAR data is provided for South Fork Cowikee Creek near Batesville, Alabama. All the data necessary to complete the analysis is maintained in the ArcView GIS software. This paper concludes that the GIS-Based disaggregate spatial watershed analysis using RADAR data is a viable method to calculate hydrological routing for large watersheds. (author)

A GIS-BASED ENVIRONMENTAL HEALTH INFORMATION SOURCE FOR MALAYSIAN CONTEXT

OpenAIRE

Lau Tiu Chung; Lau Bee Theng; Henry Lee Seldon

2013-01-01

In this paper, we propose a GIS-based system for collection and targeted distribution of latest alerts and real-time environmental factors to the Malaysian population. We call it the Environmental Health Management System (EHMS). This GIS-based system is designed to facilitate and encourage research into environmental health quality issues by providing a comprehensive tracking and monitoring tool. This GIS-based system is embedded with Google Maps API and Geocoding API services to visualize t...

Patterns of Consumption and Connectedness in GIS Web Sources

NARCIS (Netherlands)

Ballatore, Andrea; Scheider, S.; Lemmens, Rob

2018-01-01

Every day, practitioners, researchers, and students consult the Web to meet their information needs about GIS concepts and tools. How do we improve GIS in terms of conceptual organisation, findability, interoperability and relevance for user needs? So far, efforts have been mainly top-down,

Design and Implementation of High-Performance GIS Dynamic Objects Rendering Engine

Science.gov (United States)

Zhong, Y.; Wang, S.; Li, R.; Yun, W.; Song, G.

2017-12-01

Spatio-temporal dynamic visualization is more vivid than static visualization. It important to use dynamic visualization techniques to reveal the variation process and trend vividly and comprehensively for the geographical phenomenon. To deal with challenges caused by dynamic visualization of both 2D and 3D spatial dynamic targets, especially for different spatial data types require high-performance GIS dynamic objects rendering engine. The main approach for improving the rendering engine with vast dynamic targets relies on key technologies of high-performance GIS, including memory computing, parallel computing, GPU computing and high-performance algorisms. In this study, high-performance GIS dynamic objects rendering engine is designed and implemented for solving the problem based on hybrid accelerative techniques. The high-performance GIS rendering engine contains GPU computing, OpenGL technology, and high-performance algorism with the advantage of 64-bit memory computing. It processes 2D, 3D dynamic target data efficiently and runs smoothly with vast dynamic target data. The prototype system of high-performance GIS dynamic objects rendering engine is developed based SuperMap GIS iObjects. The experiments are designed for large-scale spatial data visualization, the results showed that the high-performance GIS dynamic objects rendering engine have the advantage of high performance. Rendering two-dimensional and three-dimensional dynamic objects achieve 20 times faster on GPU than on CPU.

Depth data research of GIS based on clustering analysis algorithm

Science.gov (United States)

Xiong, Yan; Xu, Wenli

2018-03-01

The data of GIS have spatial distribution. Geographic data has both spatial characteristics and attribute characteristics, and also changes with time. Therefore, the amount of data is very large. Nowadays, many industries and departments in the society are using GIS. However, without proper data analysis and mining scheme, GIS will not exert its maximum effectiveness and will waste a lot of data. In this paper, we use the geographic information demand of a national security department as the experimental object, combining the characteristics of GIS data, taking into account the characteristics of time, space, attributes and so on, and using cluster analysis algorithm. We further study the mining scheme for depth data, and get the algorithm model. This algorithm can automatically classify sample data, and then carry out exploratory analysis. The research shows that the algorithm model and the information mining scheme can quickly find hidden depth information from the surface data of GIS, thus improving the efficiency of the security department. This algorithm can also be extended to other fields.

Teaching And Learning Tectonics With Web-GIS

Science.gov (United States)

Anastasio, D. J.; Sahagian, D. L.; Bodzin, A.; Teletzke, A. L.; Rutzmoser, S.; Cirucci, L.; Bressler, D.; Burrows, J. E.

2012-12-01

Tectonics is a new curriculum enhancement consisting of six Web GIS investigations designed to augment a traditional middle school Earth science curriculum. The investigations are aligned to Disciplinary Core Ideas: Earth and Space Science from the National Research Council's (2012) Framework for K-12 Science Education and to tectonics benchmark ideas articulated in the AAAS Project 2061 (2007) Atlas of Science Literacy. The curriculum emphasizes geospatial thinking and scientific inquiry and consists of the following modules: Geohazards, which plate boundary is closest to me? How do we recognize plate boundaries? How does thermal energy move around the Earth? What happens when plates diverge? What happens when plate move sideways past each other? What happens when plates collide? The Web GIS interface uses JavaScript for simplicity, intuition, and convenience for implementation on a variety of platforms making it easier for diverse middle school learners and their teachers to conduct authentic Earth science investigations, including multidisciplinary visualization, analysis, and synthesis of data. Instructional adaptations allow students who are English language learners, have disabilities, or are reluctant readers to perform advanced desktop GIS functions including spatial analysis, map visualization and query. The Web GIS interface integrates graphics, multimedia, and animation in addition to newly developed features, which allow users to explore and discover geospatial patterns that would not be easily visible using typical classroom instructional materials. The Tectonics curriculum uses a spatial learning design model that incorporates a related set of frameworks and design principles. The framework builds on the work of other successful technology-integrated curriculum projects and includes, alignment of materials and assessments with learning goals, casting key ideas in real-world problems, engaging students in scientific practices that foster the use of key

DEVELOPMENT OF A CARBON MANAGEMENT GEOGRAPHIC INFORMATION SYSTEM (GIS) FOR THE UNITED STATES

Energy Technology Data Exchange (ETDEWEB)

Howard J. Herzog

2004-03-01

The Lab for Energy and Environment (LFEE) at MIT is developing a Geographic Information System (GIS) for carbon management. The GIS will store, integrate, and manipulate information relating to the components of carbon management systems. Additionally, the GIS can be used to interpret and analyze the effect of developing these systems. In the first year of this three year project, we focused on two tasks: (1) specifying the system design--defining in detail the GIS data requirements, the types of analyses that can be conducted, and the forms of output we will produce, as well as designing the computer architecture of the GIS and (2) creating the ''core'' datasets--identifying data sources and converting them into a form accessible by the GIS.

GIS applications in riparian management

Science.gov (United States)

Carrie Christman; Douglas W. Shaw; Charles L. Spann; Penny Luehring

1996-01-01

GIS was used to prioritize watersheds for treatment needs across the USDA Forest Service Southwestern Region. Factors in this analysis included soil condition, riparian habitat, population centers and mining sites.

Developing Trainee Teacher Practice with Geographical Information Systems (GIS)

Science.gov (United States)

Walshe, Nicola

2017-01-01

There is general agreement that geographical information systems (GIS) have a place within the geography classroom; they offer the potential to support geographical learning, exploring real-world problems through student-centred learning, and developing spatial thinking. Despite this, teachers often avoid engaging with GIS and research suggests…

GIS-based Integration of Interdisciplinary Ecological Data to Detect ...

African Journals Online (AJOL)

Key words: mangrove, satellite imagery, environment, aerial photography, GIS, Kenya Historic environmental, faunal, floral and socioeconomic data of Gazi Bay in coastal Kenya were collated and integrated into a GIS environment and data of impacts due to various factors were then related to remotely sensed data.

Monitoring Shoreline Change using Remote Sensing and GIS: A ...

African Journals Online (AJOL)

Key words: remote sensing, geographic information system (GIS), aerial photographs, shoreline change. Data from aerial photographs taken in 1981, 1992 and 2002 of the Kunduchi shoreline off the Dar es Salaam coast were integrated in a geographic information system (GIS) to determine shoreline change in that locality.

Open Source GIS Connectors to the NASA GES DISC Satellite Data

Science.gov (United States)

Pham, L.; Kempler, S. J.; Yang, W.

2014-12-01

The NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) houses a suite of satellite-derived GIS data including high spatiotemporal resolution precipitation, air quality, and modeled land surface parameter data. The data are extremely useful to various GIS research and applications at regional, continental, and global scales, as evidenced by the growing GIS user requests to the data. On the other hand, we also found that some GIS users, especially those from the ArcGIS community, having difficulties in obtaining, importing, and using our data, primarily due to the unfamiliarity of the users with our products and GIS software's lack of capabilities in dealing with the predominately raster form data in various sometimes very complicated formats. In this presentation, we introduce a set of open source ArcGIS data connectors that significantly simplify the access and use of our data in ArcGIS. With the connectors, users do not need to know the data access URLs, the access protocols or syntaxes, and data formats. Nor do they need to browse through a long list of variables that are often embedded into one single science data file and whose names may sometimes be confusing to those not familiar with the file (such as variable CH4_VMR_D for "CH4 Volume mixing ratio from the descending orbit" and variable EVPsfc for "Total Evapotranspiration"). The connectors will expose most GIS-related variables to the users with easy to understand names. User can simply define the spatiotemporal range of their study, select interested parameter(s), and have the needed data be downloaded, imported, and displayed in ArcGIS. The connectors are python text files and there is no installation process. They can be placed at any user directory and be started by simply clicking on it. In the presentation, we'll also demonstrate how to use the tools to load GES DISC time series air quality data with a few clicks and how such data depict the spatial and temporal patterns of

The application of GIS and its components in tourism

Directory of Open Access Journals (Sweden)

Jovanović Verka

2008-01-01

Full Text Available Since the success of any tourism business is determined by tourism planning, development research and marketing, the first thing we review in this article is GIS application for tourism planning. Both tourism and IT increasingly provide strategic opportunities and powerful tools for economic growth, redistribution of wealth and development of equity around the globe. GIS technology offers great opportunities for the development of modern tourism applications using maps. This technology integrates common database operations such as query with the unique visualization and geographic analysis benefits offered by maps. GIS is used for bringing the georeferenced data (spatial and non spatial of geographic location Zlatibor and Zlatar into digital maps. Each object is assigned to a thematic layer. Each layer combines related objects like roads, building, protected areas or watercourses. In this research the authors used GIS in three types of applications such as inventory, analysis and evaluation of plan based on tourism development.

Teaching Tectonics to Undergraduates with Web GIS

Science.gov (United States)

Anastasio, D. J.; Bodzin, A.; Sahagian, D. L.; Rutzmoser, S.

2013-12-01

Geospatial reasoning skills provide a means for manipulating, interpreting, and explaining structured information and are involved in higher-order cognitive processes that include problem solving and decision-making. Appropriately designed tools, technologies, and curriculum can support spatial learning. We present Web-based visualization and analysis tools developed with Javascript APIs to enhance tectonic curricula while promoting geospatial thinking and scientific inquiry. The Web GIS interface integrates graphics, multimedia, and animations that allow users to explore and discover geospatial patterns that are not easily recognized. Features include a swipe tool that enables users to see underneath layers, query tools useful in exploration of earthquake and volcano data sets, a subduction and elevation profile tool which facilitates visualization between map and cross-sectional views, drafting tools, a location function, and interactive image dragging functionality on the Web GIS. The Web GIS platform is independent and can be implemented on tablets or computers. The GIS tool set enables learners to view, manipulate, and analyze rich data sets from local to global scales, including such data as geology, population, heat flow, land cover, seismic hazards, fault zones, continental boundaries, and elevation using two- and three- dimensional visualization and analytical software. Coverages which allow users to explore plate boundaries and global heat flow processes aided learning in a Lehigh University Earth and environmental science Structural Geology and Tectonics class and are freely available on the Web.

Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment.

Science.gov (United States)

Shahabi, Himan; Hashim, Mazlan

2015-04-22

This research presents the results of the GIS-based statistical models for generation of landslide susceptibility mapping using geographic information system (GIS) and remote-sensing data for Cameron Highlands area in Malaysia. Ten factors including slope, aspect, soil, lithology, NDVI, land cover, distance to drainage, precipitation, distance to fault, and distance to road were extracted from SAR data, SPOT 5 and WorldView-1 images. The relationships between the detected landslide locations and these ten related factors were identified by using GIS-based statistical models including analytical hierarchy process (AHP), weighted linear combination (WLC) and spatial multi-criteria evaluation (SMCE) models. The landslide inventory map which has a total of 92 landslide locations was created based on numerous resources such as digital aerial photographs, AIRSAR data, WorldView-1 images, and field surveys. Then, 80% of the landslide inventory was used for training the statistical models and the remaining 20% was used for validation purpose. The validation results using the Relative landslide density index (R-index) and Receiver operating characteristic (ROC) demonstrated that the SMCE model (accuracy is 96%) is better in prediction than AHP (accuracy is 91%) and WLC (accuracy is 89%) models. These landslide susceptibility maps would be useful for hazard mitigation purpose and regional planning.

EpiScanGIS: an online geographic surveillance system for meningococcal disease

Directory of Open Access Journals (Sweden)

Albert Jürgen

2008-07-01

Full Text Available Abstract Background Surveillance of infectious diseases increasingly relies on Geographic Information Systems (GIS. The integration of pathogen fine typing data in dynamic systems and visualization of spatio-temporal clusters are a technical challenge for system development. Results An online geographic information system (EpiScanGIS based on open source components has been launched in Germany in May 2006 for real time provision of meningococcal typing data in conjunction with demographic information (age, incidence, population density. Spatio-temporal clusters of disease detected by computer assisted cluster analysis (SaTScan™ are visualized on maps. EpiScanGIS enables dynamic generation of animated maps. The system is based on open source components; its architecture is open for other infectious agents and geographic regions. EpiScanGIS is available at http://www.episcangis.org, and currently has 80 registered users, mostly from the public health service in Germany. At present more than 2,900 cases of invasive meningococcal disease are stored in the database (data as of June 3, 2008. Conclusion EpiScanGIS exemplifies GIS applications and early-warning systems in laboratory surveillance of infectious diseases.

Use of GPS and GIS technology in surveying and mapping of wheat and cotton weeds in Khairpur district, Sindh, Pakistan

International Nuclear Information System (INIS)

Memon, R.A.; Khalid, S.; Mallah, A.

2011-01-01

Present study was conducted in the fields of Khairpur district, Sindh for the mapping of some important weeds of wheat and cotton by using GPS and GIS technology. A base map of the district was prepared by using Geographical Information System (GIS) to indicate the sampling sites and physical features of the area. Two more maps were created to depict the density and frequency of weeds of wheat and cotton crops in each Tehsil (Taluka), shown in the form of bar and pie diagrams. Present piece of work will help the scientists and managers to predict those areas, potentially subjected to weed invasion. (author)

Need satisfaction, motivational regulations and exercise: moderation and mediation effects.

Science.gov (United States)

Weman-Josefsson, Karin; Lindwall, Magnus; Ivarsson, Andreas

2015-05-20

Based on the Self-determination theory process model, this study aimed to explore relationships between the latent constructs of psychological need satisfaction, autonomous motivation and exercise behaviour; the mediational role of autonomous motivation in the association of psychological need satisfaction with exercise behaviour; as well as gender and age differences in the aforementioned associations. Adult active members of an Internet-based exercise program (n = 1091) between 18 and 78 years of age completed a test battery on motivational aspects based on Self-determination theory. The Basic Psychological Needs in Exercise Scale and the Behavioural Regulation in Exercise Questionnaire-2 were used to measure need satisfaction and type of motivation and the Leisure Time Exercise Questionnaire to measure self-reported exercise. Need satisfaction predicted autonomous motivation, which in turn predicted exercise, especially for women. Autonomous motivation was found to mediate the association between need satisfaction and exercise. Age and gender moderated several of the paths in the model linking need satisfaction with motivation and exercise. The results demonstrated gender and age differences in the proposed sequential mechanisms between autonomous motivation and exercise in the process model. This study thus highlights a potential value in considering moderating factors and the need to further examine the underlying mechanisms between needs, autonomous motivation, and exercise behaviour.

Una metodologia GIS per la valutazione della suscettibilità da frana

Directory of Open Access Journals (Sweden)

Leoni Gabriele

2010-03-01

Full Text Available GIS methodology to assess landslide susceptibility: application to a river catchment of central ItalyThis paper illustrates a GIS supported methodology for the assessment of landslide susceptibility. The methodology involves four steps: survey, site analysis, macro-area analysis, and susceptibility analysis. Statiscal and GIS processing of basical large scale geological dataset leads to the recognition of discriminating parameters (land conditions necessary but not sufficient to trigger landslides and predisposing factors (conditions that worsen slope stability separately for each landslides types. The susceptibility function combines GIS data to draw landslide susceptibility maps. These results represent the preliminary step for the assessment of landslide hazard and risk.

Application of GIS in siting of linear facilities

International Nuclear Information System (INIS)

Gallagher, G.A. III; Heatwole, D.W.; Schmidt, J.A.

1993-01-01

Geographic information systems (GIS) are powerful tools in the analysis and selection of environmentally acceptable corridors for linear facilities, such as roads and utility lines. GIS can serve several functions in corridor siting, including managing and manipulating extensive environmental databases, weighting and compositing data layers to enable spatial analysis for a ''path of least resistance,'' summarizing statistics for a comparison of alternative corridors, preparing color graphics for presentations and reports, and providing a record of alternative analysis for permitting reviews and legal challenges. In this paper, the authors examine the benefits and limitations of using GIS to site linear facilities, based mainly on their experience in siting a 600-mile natural gas pipeline in Florida. They implemented a phased analytical approach to define acceptable corridors several miles in width and then selected viable routes within the corridors using a magnified scale. This approach resulted in a dynamic siting process which required numerous iterations of analysis. Consequently, their experience has instilled the benefits derived by expending preliminary effort to create macros of the GIS analytical process so that subsequent effort is minimized during numerous iterations of corridor and route refinement

GIS modelling of solar potential in Toplica region

Directory of Open Access Journals (Sweden)

Valjarević Aleksandar

2016-01-01

Full Text Available In this paper we investigated possible potential solar area on Toplica region based on GIS (Geographical Information system and using a special kriging method with the help of open sources GIS software Quantum GIS. This kriging method is very special to vectorized and calculated the small area. The statistical approach calculated between datasets of three meteorological stations (Niš, Prokuplje, Kuršumlija. Data using of insolation from that meteorological stations from the period of (1953-2013 is useful for a solution to calculating solar potential. The also used parameter is hypsometry of relief of the whole area of Toplica region. Area of Toplica region is 2.231 km2 with a population of 90600 citizens. Divided into fourth municipalities (Prokuplje, Žitoradja, Black, Kuršumlija. The GIS modeling indicates that ideal areas for solar development are located the potential places in Toplica region. Only 13.6 km2 of the head model scores that were in the 90-100% range. However, given the statewide high insolation values with minimal variance, solar projects may be better suited for small-scale residential or commercial projects.

Analyzing rasters, vectors and time series using new Python interfaces in GRASS GIS 7

Science.gov (United States)

Petras, Vaclav; Petrasova, Anna; Chemin, Yann; Zambelli, Pietro; Landa, Martin; Gebbert, Sören; Neteler, Markus; Löwe, Peter

2015-04-01

GRASS GIS 7 is a free and open source GIS software developed and used by many scientists (Neteler et al., 2012). While some users of GRASS GIS prefer its graphical user interface, significant part of the scientific community takes advantage of various scripting and programing interfaces offered by GRASS GIS to develop new models and algorithms. Here we will present different interfaces added to GRASS GIS 7 and available in Python, a popular programming language and environment in geosciences. These Python interfaces are designed to satisfy the needs of scientists and programmers under various circumstances. PyGRASS (Zambelli et al., 2013) is a new object-oriented interface to GRASS GIS modules and libraries. The GRASS GIS libraries are implemented in C to ensure maximum performance and the PyGRASS interface provides an intuitive, pythonic access to their functionality. GRASS GIS Python scripting library is another way of accessing GRASS GIS modules. It combines the simplicity of Bash and the efficiency of the Python syntax. When full access to all low-level and advanced functions and structures from GRASS GIS library is required, Python programmers can use an interface based on the Python ctypes package. Ctypes interface provides complete, direct access to all functionality as it would be available to C programmers. GRASS GIS provides specialized Python library for managing and analyzing spatio-temporal data (Gebbert and Pebesma, 2014). The temporal library introduces space time datasets representing time series of raster, 3D raster or vector maps and allows users to combine various spatio-temporal operations including queries, aggregation, sampling or the analysis of spatio-temporal topology. We will also discuss the advantages of implementing scientific algorithm as a GRASS GIS module and we will show how to write such module in Python. To facilitate the development of the module, GRASS GIS provides a Python library for testing (Petras and Gebbert, 2014) which

The importance of exercise self-efficacy for clinical outcomes in pulmonary rehabilitation.

Science.gov (United States)

Selzler, Anne-Marie; Rodgers, Wendy M; Berry, Tanya R; Stickland, Michael K

2016-11-01

Pulmonary rehabilitation (PR) improves functional exercise capacity and health status in people with chronic obstructive pulmonary disease (COPD), although these outcomes are often not maintained following PR. Self-efficacy is a precursor to outcomes achievement, yet few studies have examined the importance of self-efficacy to outcome improvement during PR, or how it develops over time. Further, the contribution of exercise-specific self-efficacy to outcomes in PR is unknown. The aims of this study were to determine (a) whether baseline exercise self-efficacy predicts PR attendance and change in functional exercise capacity and health status over PR, and (b) if exercise self-efficacy changes with PR. Fifty-eight out of 64 patients with COPD completed PR and assessments of exercise self-efficacy (task, coping, scheduling), the 6-minute walk test (6MWT), and St. George's Respiratory Questionnaire (SGRQ) at the beginning and end of PR. Analyses were conducted to predict attendance, and change in 6MWT and SGRQ, while controlling for baseline demographic and clinical indicators. Change in 6MWT, SGRQ, and self-efficacy with PR was also examined. Clinically significant increases in the 6MWT and SGRQ were achieved with PR. Stronger task self-efficacy predicted better attendance, while stronger coping self-efficacy predicted greater 6MWT improvement. No variables predicted SGRQ change. Scheduling self-efficacy significantly improved with PR, whereas task and coping self-efficacy did not. Baseline exercise self-efficacy appears to be a determinant of rehabilitation attendance and functional exercise improvement with PR. Clinicians should evaluate and target exercise self-efficacy to maximize adherence and health outcome improvement with PR. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

GIS DATA COLLECTION FOR PEDESTRIAN FACILITIES AND FURNITURE USING MAPINR FOR ANDROID

OpenAIRE

N. Naharudin; M. S. S. Ahamad; A. F. M. Sadullah

2016-01-01

Mobile GIS is introduced to reduce the time taken in completing the field data collection procedure. With the expansion of technology today, mobile GIS is not far behind. It can be integrated with the high-end innovation tools like smartphones. Spatial data capture which deemed to be the toughest stage of a GIS project is made simple with this method. Many studies had demonstrated the usage of mobile GIS in collecting spatial data and this paper discusses how it can be applied in capturing th...

As an Instructional Technology the Contribution of Geography Information Systems (GIS to Social Studies Education and Teacher’s Attitudes Related to GIS

Directory of Open Access Journals (Sweden)

Nihat ŞİMŞEK

2013-05-01

Full Text Available The aim of this study is to determine whether the teacher of social studies uses the GIS Technologies in primary schools. An attitude scale which was build up by Thomas R. Baker and adapted to Turkish by authoris used in the study. The reliability coefficient of this scale was computed and it was found cronbach alpha as 84. Without making any changes, the scale was administered to 84 teachers of social studies in Turkey. The results were analysed by using the program SPSS 16.0. In this study variables such as the attitudes of the teachers about using GIS, their gender, graduation level, seniority, the number of the classes which they take, whether they entered any courses about GIS, and whether they have laboratories in the schools they work were investigated. According to the results obtained in the study, although an important difference was found between the teachers’ attitudes and having computer laboratories in schools, there was not an important difference between the variables previous GIS experience, gender, graduation level, seniority, the number of the classes.

Estimating hurricane hazards using a GIS system

Directory of Open Access Journals (Sweden)

A. Taramelli

2008-08-01

Full Text Available This paper develops a GIS-based integrated approach to the Multi-Hazard model method, with reference to hurricanes. This approach has three components: data integration, hazard assessment and score calculation to estimate elements at risk such as affected area and affected population. First, spatial data integration issues within a GIS environment, such as geographical scales and data models, are addressed. Particularly, the integration of physical parameters and population data is achieved linking remotely sensed data with a high resolution population distribution in GIS. In order to assess the number of affected people, involving heterogeneous data sources, the selection of spatial analysis units is basic. Second, specific multi-hazard tasks, such as hazard behaviour simulation and elements at risk assessment, are composed in order to understand complex hazard and provide support for decision making. Finally, the paper concludes that the integrated approach herein presented can be used to assist emergency management of hurricane consequences, in theory and in practice.

Using Programming Environments in Teaching GIS Concepts

Directory of Open Access Journals (Sweden)

Imre Bornemisza

2009-03-01

Full Text Available When teaching Geographical Information Systems (GIS it is important to explain the theoretical elements, but it is also necessary to illustrate the basic functions with examples. To help students it is advisable to separate the teaching of fundamentals from the practical application of complex GIS software. A simple programming language like Logo creates opportunities for acquiring knowledge in an easy way. The development of a program makes it possible tounderstand the most important categories. If the program contains query functions as well, students can learn more about problem solution methods.This paper also demonstrates the power of the Logo family of languages which is delivered by different implementations. Elica Logo is used to build simple GIS tools that provide a very widerange of educational problems and lead to numerous ideas for further explorations. The nice intuitive 3D interface is an attractive approach to gain and retain student’s engagement in thelearning process.

GIS TECHNOLOGY AND TERRAIN ORTHOPHOTOMAP MAKING FOR MILITARY APPLICATION

Directory of Open Access Journals (Sweden)

Elshan Hashimov

2017-11-01

Full Text Available In this paper, it is shown that GIS and photogrammetry technologiyes, determination of searching target coordinates for the operational desicion making are very important for the military application, for the combat control. With aim of orthophotomap making of the terrain and identification of terrain supervision there has been constructed 3D model for choosen mountainous terrain of Azerbaijan Republic using GIS technology. Based on this model there has been obtained a terrain profile and carried out mapping. Using ArcGis software there has been investigated possibility remain control on obserbvable and unobservable parties of terrain on supervision line from supervision point to target point.

A GIS based hydrogeomorphic approach for identification of site ...

Indian Academy of Sciences (India)

a Geographical Information System (GIS) based hydrogeomorphic approach in the Bhatsa and. Kalu river basins of Thane district, in western DVP. The criteria adopted for the GIS analysis were based .... segments of the rivers. The majority of the lineaments correspond to either dyke ridges or stream channels which are of ...

Factors that influence exercise activity among women post hip fracture participating in the Exercise Plus Program.

Science.gov (United States)

Resnick, Barbara; Orwig, Denise; D'Adamo, Christopher; Yu-Yahiro, Janet; Hawkes, William; Shardell, Michelle; Golden, Justine; Zimmerman, Sheryl; Magaziner, Jay

2007-01-01

Using a social ecological model, this paper describes selected intra- and interpersonal factors that influence exercise behavior in women post hip fracture who participated in the Exercise Plus Program. Model testing of factors that influence exercise behavior at 2, 6 and 12 months post hip fracture was done. The full model hypothesized that demographic variables; cognitive, affective, physical and functional status; pain; fear of falling; social support for exercise, and exposure to the Exercise Plus Program would influence self-efficacy, outcome expectations, and stage of change both directly and indirectly influencing total time spent exercising. Two hundred and nine female hip fracture patients (age 81.0 +/- 6.9), the majority of whom were Caucasian (97%), participated in this study. The three predictive models tested across the 12 month recovery trajectory suggest that somewhat different factors may influence exercise over the recovery period and the models explained 8 to 21% of the variance in time spent exercising. To optimize exercise activity post hip fracture, older adults should be helped to realistically assess their self-efficacy and outcome expectations related to exercise, health care providers and friends/peers should be encouraged to reinforce the positive benefits of exercise post hip fracture, and fear of falling should be addressed throughout the entire hip fracture recovery trajectory.

Exercisers' perceptions of their fitness instructor's interacting style, perceived competence, and autonomy as a function of self-determined regulation to exercise, enjoyment, affect, and exercise frequency.

Science.gov (United States)

Puente, Rogelio; Anshel, Mark H

2010-02-01

The primary purpose of the present investigation was to test the hypothesis, derived from Self-Determination Theory (SDT), that an individual's perceived competence and autonomy mediate the relationship between the exercisers' perception of their instructor's interaction style and the exercisers' motivation to exercise. A secondary purpose was to identify the affective and behavioral outcomes derived from self-determined regulation. It was hypothesized that SDT would significantly explain and predict exercise behavior. Participants consisted of 238 college students, 103 males and 135 females (M age = 20.4 years, SD = 2.16), who volunteered to participate in the study. They were asked to complete a battery of questionnaires measuring instructor's interacting style, self-regulation to exercise, perceived autonomy and competence, enjoyment, positive and negative affect, and exercise frequency. Using structural equation modeling with observed variables, the results showed that perceived competence and autonomy mediated the relationship between perceived instructor's interacting style and self-determined regulation. It was also found that self-determined regulation was significantly related to exercise enjoyment, positive affect, and exercise frequency. It was concluded that understanding the motivational factors and emotional and behavioral consequences of physical activity will partially explain an individual's motives to engage regularly in exercise.

Establishing Esri ArcGIS Enterprise Platform Capabilities to Support Response Activities of the NASA Earth Science Disasters Program

Science.gov (United States)

Molthan, A.; Seepersad, J.; Shute, J.; Carriere, L.; Duffy, D.; Tisdale, B.; Kirschbaum, D.; Green, D. S.; Schwizer, L.

2017-12-01

NASA's Earth Science Disasters Program promotes the use of Earth observations to improve the prediction of, preparation for, response to, and recovery from natural and technological disasters. NASA Earth observations and those of domestic and international partners are combined with in situ observations and models by NASA scientists and partners to develop products supporting disaster mitigation, response, and recovery activities among several end-user partners. These products are accompanied by training to ensure proper integration and use of these materials in their organizations. Many products are integrated along with other observations available from other sources in GIS-capable formats to improve situational awareness and response efforts before, during and after a disaster. Large volumes of NASA observations support the generation of disaster response products by NASA field center scientists, partners in academia, and other institutions. For example, a prediction of high streamflows and inundation from a NASA-supported model may provide spatial detail of flood extent that can be combined with GIS information on population density, infrastructure, and land value to facilitate a prediction of who will be affected, and the economic impact. To facilitate the sharing of these outputs in a common framework that can be easily ingested by downstream partners, the NASA Earth Science Disasters Program partnered with Esri and the NASA Center for Climate Simulation (NCCS) to establish a suite of Esri/ArcGIS services to support the dissemination of routine and event-specific products to end users. This capability has been demonstrated to key partners including the Federal Emergency Management Agency using a case-study example of Hurricane Matthew, and will also help to support future domestic and international disaster events. The Earth Science Disasters Program has also established a longer-term vision to leverage scientists' expertise in the development and delivery of

A Generic Framework for Using Multi-Dimensional Earth Observation Data in GIS

Directory of Open Access Journals (Sweden)

Yunfeng Jiang

2016-05-01

Full Text Available Earth Observation (EO data are critical for many Geographic Information System (GIS-based decision support systems to provide factual information. However, it is challenging for GIS to understand traditional EO data formats (e.g., Hierarchical Data Format (HDF given the different contents and formats in the two domains. To address this gap between EO data and GIS, the barriers and strategies of integrating various types of EO data with GIS are explored, especially with the popular Geospatial Data Abstraction Library (GDAL that is used by many GISs to access EO data. The research investigates four key technical aspects: (i designing a generic plug-in framework for consuming different types of EO data; (ii implementing the framework to fix the errors in GIS when using GDAL to understand EO data; and (iii developing extension for commercial and open source GIS (i.e., ArcGIS and QGIS to demonstrate the usability of the proposed framework and its implementation in GDAL. A series of EO data products collected from NASA’s Atmospheric Scientific Data Center (ASDC are used in the tests and the results prove the proposed framework is efficient to solve different problems in interpreting EO data without compromising their original content.

Selecting Map Projections in Minimizing Area Distortions in GIS Applications

Directory of Open Access Journals (Sweden)

Ahmet Kaya

2008-12-01

Full Text Available Varioussoftware for Geographical Information Systems (GISs have been developed and used in many different engineering projects. In GIS applications, map coverage is important in terms of performing reliable and meaningful queries. Map projections can be conformal, equal-area and equidistant. The goal of an application plays an important role in choosing one of those projections. Choosing the equal-area projection for an application in which area information is used (forestry, agriculture, ecosystem etc reduces the amount of distortion on the area, but many users using GIS ignore this fact and continue to use applications with present map sheets no matter in what map projection it is. For example, extracting area information from data whose country system’s map sheet is in conformal projection is relatively more distorted, compared to an equal-area projection one. The goal of this study is to make the best decision in choosing the most proper equal-area projection among the choices provided by ArcGIS 9.0, which is a popular GIS software package, and making a comparison on area errors when conformal projection is used. In this study, the area of parcels chosen in three different regions and geographic coordinates and whose sizes vary between 0.01 to 1,000,000 ha are calculated according to Transversal Mercator (TM, 3°, Universal Transversal Mercator (UTM, 6° and 14 different equal-area projections existing in the ArcGIS 9.0 GIS software package. The parcel areas calculated with geographical coordinates are accepted as definite. The difference between the sizes calculated according to projection coordinates and real sizes of the parcels are determined. Consequently, the appropriate projections are decided for the areas smaller and equal than 1,000 ha and greater than 1,000 ha in the GIS software package.

Evaluating the Potential of Commercial GIS for Accelerator Configuration Management

International Nuclear Information System (INIS)

Larrieu, T.L.; Roblin, Y.R.; White, K.; Slominski, R.

2005-01-01

The Geographic Information System (GIS) is a tool used by industries needing to track information about spatially distributed assets. A water utility, for example, must know not only the precise location of each pipe and pump, but also the respective pressure rating and flow rate of each. In many ways, an accelerator such as CEBAF (Continuous Electron Beam Accelerator Facility) can be viewed as an ''electron utility''. Whereas the water utility uses pipes and pumps, the ''electron utility'' uses magnets and RF cavities. At Jefferson lab we are exploring the possibility of implementing ESRI's ArcGIS as the framework for building an all-encompassing accelerator configuration database that integrates location, configuration, maintenance, and connectivity details of all hardware and software. The possibilities of doing so are intriguing. From the GIS, software such as the model server could always extract the most-up-to-date layout information maintained by the Survey and Alignment for lattice modeling. The Mechanical Engineering department could use ArcGIS tools to generate CAD drawings of machine segments from the same database. Ultimately, the greatest benefit of the GIS implementation could be to liberate operators and engineers from the limitations of the current system-by-system view of machine configuration and allow a more integrated regional approach. The commercial GIS package provides a rich set of tools for database-connectivity, versioning, distributed editing, importing and exporting, and graphical analysis and querying, and therefore obviates the need for much custom development. However, formidable challenges to implementation exist and these challenges are not only technical and manpower issues, but also organizational ones. The GIS approach would crosscut organizational boundaries and require departments, which heretofore have had free reign to manage their own data, to cede some control and agree to a centralized framework

Evaluating the Potential of Commercial GIS for Accelerator Configuration Management

Energy Technology Data Exchange (ETDEWEB)

T.L. Larrieu; Y.R. Roblin; K. White; R. Slominski

2005-10-10

The Geographic Information System (GIS) is a tool used by industries needing to track information about spatially distributed assets. A water utility, for example, must know not only the precise location of each pipe and pump, but also the respective pressure rating and flow rate of each. In many ways, an accelerator such as CEBAF (Continuous Electron Beam Accelerator Facility) can be viewed as an ''electron utility''. Whereas the water utility uses pipes and pumps, the ''electron utility'' uses magnets and RF cavities. At Jefferson lab we are exploring the possibility of implementing ESRI's ArcGIS as the framework for building an all-encompassing accelerator configuration database that integrates location, configuration, maintenance, and connectivity details of all hardware and software. The possibilities of doing so are intriguing. From the GIS, software such as the model server could always extract the most-up-to-date layout information maintained by the Survey & Alignment for lattice modeling. The Mechanical Engineering department could use ArcGIS tools to generate CAD drawings of machine segments from the same database. Ultimately, the greatest benefit of the GIS implementation could be to liberate operators and engineers from the limitations of the current system-by-system view of machine configuration and allow a more integrated regional approach. The commercial GIS package provides a rich set of tools for database-connectivity, versioning, distributed editing, importing and exporting, and graphical analysis and querying, and therefore obviates the need for much custom development. However, formidable challenges to implementation exist and these challenges are not only technical and manpower issues, but also organizational ones. The GIS approach would crosscut organizational boundaries and require departments, which heretofore have had free reign to manage their own data, to cede some control and agree to a

Towards a GIS Evaluation Methodology

African Journals Online (AJOL)

sekuru

Abstract. There is a growing use of Geographic Information Systems (GIS) within the public sector in ... decision making and in public policy formulation and implementation. From a public sector .... Directorate of Water Resources Management.

Forbedring af GIS data til trafikmodeller

DEFF Research Database (Denmark)

Hansen, Stephen; Landex, Alex; Nielsen, Otto Anker

2005-01-01

indbyggere og arbejdspladser er meget inhomogen. Dette er især tilfældet for zonerne i Frederiksborg og Roskilde Amter. For at opnå mere detaljerede resultater er det nødvendigt at opdele disse zoner. I artiklen præsenteres forskellige GIS-baserede metoder, der er blevet benyttet til at forbedre og kombinere...... eksisterende GIS-baserede datakilder, så der er opnået en hidtil uset nøjagtighed i trafikmodellernes geografiske data. Herefter beskrives, hvordan der med udgangspunkt i disse forbedrede data er foretaget analyser af zonerne i modellen, og hvordan zoner som ikke lever op til den ønske detaljegrad, er splittet...

Regional analysis assessment of landslide hazard and zoning map for transmission line route selection using GIS

International Nuclear Information System (INIS)

Baharuddin, I N Z; Omar, R C; Usman, F; Mejan, M A; Halim, M K Abd; Zainol, M A; Zulkarnain, M S

2013-01-01

The stability of ground as foundation for infrastructure development is always associated with geology and geomorphology aspects. Failure to carefully analyze these aspects may induce ground instability such subsidence and landslide which eventually can cause catastrophe to the infrastructure i.e. instability of transmission tower. However, in some cases such as the study area this is unavoidable. A GIS system for analysis of route was favoured to perform optimal route predictions based selection by incorporating multiple influence factors into its analysis by incorporating the Landslide Hazard Map (LHM) that was produced on basis of slope map, aspect map, land use map and geological map with the help of ArcGIS using weighted overlay method. Based on LHM it is safe to conclude that the proposed route for Ulu Jelai- Neggiri-Lebir-LILO transmission line has very low risk in term of landslides.

Sensitivity of wildlife habitat models to uncertainties in GIS data

Science.gov (United States)

Stoms, David M.; Davis, Frank W.; Cogan, Christopher B.

1992-01-01

Decision makers need to know the reliability of output products from GIS analysis. For many GIS applications, it is not possible to compare these products to an independent measure of 'truth'. Sensitivity analysis offers an alternative means of estimating reliability. In this paper, we present a CIS-based statistical procedure for estimating the sensitivity of wildlife habitat models to uncertainties in input data and model assumptions. The approach is demonstrated in an analysis of habitat associations derived from a GIS database for the endangered California condor. Alternative data sets were generated to compare results over a reasonable range of assumptions about several sources of uncertainty. Sensitivity analysis indicated that condor habitat associations are relatively robust, and the results have increased our confidence in our initial findings. Uncertainties and methods described in the paper have general relevance for many GIS applications.

application of geographic information system (gis) in industrial land ...

African Journals Online (AJOL)

DEPHILIHS

Land capability index mapping using Geographic Information System (GIS) principles was used for this study. The study was undertaken using Arc View ... Geographic Information Systems (GIS) is one of the best approaches for this type of ..... western segments and to a small extent the east. Some of the available lands are ...

Analyzing and Visualizing Precipitation and Soil Moisture in ArcGIS

Science.gov (United States)

Yang, Wenli; Pham, Long; Zhao, Peisheng; Kempler, Steve; Wei, Jennifer

2016-01-01

Precipitation and soil moisture are among the most important parameters in many land GIS (Geographic Information System) research and applications. These data are available globally from NASA GES DISC (Goddard Earth Science Data and Information Services Center) in GIS-ready format at 10-kilometer spatial resolution and 24-hour or less temporal resolutions. In this presentation, well demonstrate how rainfall and soil moisture data are used in ArcGIS to analyze and visualize spatiotemporal patterns of droughts and their impacts on natural vegetation and agriculture in different parts of the world.

Predictors of exercise capacity following exercise-based rehabilitation in patients with coronary heart disease and heart failure

DEFF Research Database (Denmark)

Uddin, Jamal; Zwisler, Ann-Dorthe; Lewinter, Christian

2016-01-01

.76-1.41) standard deviation units higher, and in trials reporting maximum oxygen uptake (VO2max) was 3.3 ml/kg.min(-1) (95% CI: 2.6-4.0) higher. There was evidence of a high level of statistical heterogeneity across trials (I(2) statistic > 50%). In multivariable meta-regression analysis, only exercise intervention......BACKGROUND: The aim of this study was to undertake a comprehensive assessment of the patient, intervention and trial-level factors that may predict exercise capacity following exercise-based rehabilitation in patients with coronary heart disease and heart failure. DESIGN: Meta-analysis and meta-regression...... analysis. METHODS: Randomized controlled trials of exercise-based rehabilitation were identified from three published systematic reviews. Exercise capacity was pooled across trials using random effects meta-analysis, and meta-regression used to examine the association between exercise capacity and a range...

Use of citation analysis to predict the outcome of the 2001 Research Assessment Exercise for Unit of Assessment (UoA 61: Library and Information Management

Directory of Open Access Journals (Sweden)

Alison Holmes

2001-01-01

Full Text Available A citation study was carried out to predict the outcome of the 2001 Research Assessment Exercise. The correlation between scores achieved by academic departments in the UK in the 1996 Research Assessment Exercise, and the number of citations received by academics in those departments for articles published in the period 1994-2000, using the Institute for Scientific Information’s citation databases, was assessed. A citation study was carried out on all three hundred and thirty eight academics that teach in the UK library and information science schools. These authors between them received two thousand three hundred and one citations for articles they had published between 1994 and the present. The results were ranked by Department, and compared to the ratings awarded to the departments in the 1996 Higher Education Funding Council Research Assessment Exercise. On the assumption that RAE scores and citation counts are correlated, predictions were made for the likely RAE scores in the 2001 RAE. Comments were also made on the impact of staff movements from one Higher Education Institution to another.

GIS Readiness Survey 2014

DEFF Research Database (Denmark)

Schrøder, Lise; Hvingel, Line Træholt; Hansen, Henning Sten

2014-01-01

The GIS Readiness Survey 2014 is a follow-up to the corresponding survey that was carried out among public institutions in Denmark in 2009. The present survey thus provides an updated image of status and challenges in relation to the use of spatial information, the construction of the com- mon...

DIGITAL GEOECOLOGICAL MAPS AND SEVERAL METHODS OF ITS CONSTRUCTING IN A GIS ARCGIS

Directory of Open Access Journals (Sweden)

S. V. Lebedev

2015-01-01

Full Text Available This article is focused on methods of digital geoecological maps construction with using GIS ArcGIS technologies. The technique of GIS ArcGIS mapping is illustrated by examples of GIS maps of radioactive and chemical pollution in the snow cover on the territory of St. Petersburg’s (Russia. The geostatistic and deterministic approaches were applied for interpolation of input data. The input data were presented by the coordinates of points located on territory according to the scheme of measurements. The most optimal amount of classification intervals describing the natural processes and the phenomena of all-over distribution on the geoeclogical GIS maps is the 3–5 intervals of the parameter that will be considered. The borders of classes of intervals are set in depend on existing normative of pollution in different components of environment and empirical character of study parameter distribution on territory under consideration.

GIS-based analysis and modelling with empirical and remotely-sensed data on coastline advance and retreat

Science.gov (United States)

Ahmad, Sajid Rashid

With the understanding that far more research remains to be done on the development and use of innovative and functional geospatial techniques and procedures to investigate coastline changes this thesis focussed on the integration of remote sensing, geographical information systems (GIS) and modelling techniques to provide meaningful insights on the spatial and temporal dynamics of coastline changes. One of the unique strengths of this research was the parameterization of the GIS with long-term empirical and remote sensing data. Annual empirical data from 1941--2007 were analyzed by the GIS, and then modelled with statistical techniques. Data were also extracted from Landsat TM and ETM+ images. The band ratio method was used to extract the coastlines. Topographic maps were also used to extract digital map data. All data incorporated into ArcGIS 9.2 were analyzed with various modules, including Spatial Analyst, 3D Analyst, and Triangulated Irregular Networks. The Digital Shoreline Analysis System was used to analyze and predict rates of coastline change. GIS results showed the spatial locations along the coast that will either advance or retreat over time. The linear regression results highlighted temporal changes which are likely to occur along the coastline. Box-Jenkins modelling procedures were utilized to determine statistical models which best described the time series (1941--2007) of coastline change data. After several iterations and goodness-of-fit tests, second-order spatial cyclic autoregressive models, first-order autoregressive models and autoregressive moving average models were identified as being appropriate for describing the deterministic and random processes operating in Guyana's coastal system. The models highlighted not only cyclical patterns in advance and retreat of the coastline, but also the existence of short and long-term memory processes. Long-term memory processes could be associated with mudshoal propagation and stabilization while short

Groundwater resource exploration in Salem district, Tamil Nadu using GIS and remote sensing

Science.gov (United States)

Maheswaran, G.; Selvarani, A. Geetha; Elangovan, K.

2016-03-01

Since last decade, the value per barrel of potable groundwater has outpaced the value of a barrel of oil in many areas of the world. Hence, proper assessment of groundwater potential and management practices are the needs of the day. Establishing relationship between remote sensing data and hydrologic phenomenon can maximize the efficiency of water resources development projects. Present study focuses on groundwater potential assessment in Salem district, Tamil Nadu to investigate groundwater resource potential. At the same, all thematic layers important from ground water occurrence and movement point of view were digitized and integrated in the GIS environment. The weights of different parameters/themes were computed using weighed index overlay analysis (WIOA), analytic hierarchy process (AHP) and fuzzy logic technique. Through this integrated GIS analysis, groundwater prospect map of the study area was prepared qualitatively. Field verification at observation wells was used to verify identified potential zones and depth of water measured at observation wells. Generated map from weighed overlay using AHP performed very well in predicting the groundwater surface and hence this methodology proves to be a promising tool for future.

Improvements to executive function during exercise training predict maintenance of physical activity over the following year

Directory of Open Access Journals (Sweden)

John eBest

2014-05-01

Full Text Available Previous studies have shown that exercise training benefits cognitive, neural, and physical health markers in older adults. It is likely that these positive effects will diminish if participants return to sedentary lifestyles following training cessation. Theory posits that that the neurocognitive processes underlying self-regulation, namely executive function (EF, are important to maintaining positive health behaviors. Therefore, we examined whether better EF performance in older women would predict greater adherence to routine physical activity (PA over 1 year following a 12-month resistance exercise training randomized controlled trial. The study sample consisted of 125 community-dwelling women aged 65 to 75 years old. Our primary outcome measure was self-reported PA, as measured by the Physical Activity Scale for the Elderly (PASE, assessed on a monthly basis from month 13 to month 25. Executive function was assessed using the Stroop Test at baseline (month 0 and post-training (month 12. Latent growth curve analyses showed that, on average, PA decreased during the follow-up period but at a decelerating rate. Women who made greater improvements to EF during the training period showed better adherence to PA during the 1-year follow-up period (β = -.36, p .10. Overall, these findings suggest that improving EF plays an important role in whether older women maintain higher levels of PA following exercise training and that this association is only apparent after training when environmental support for PA is low.

Application of the Transtheoretical Model to Predict Exercise Activities in the Students of Islamic Azad University of Sabzevar

Directory of Open Access Journals (Sweden)

M. Mohammadi

2012-04-01

Full Text Available Background: Based on report of World Health Organization (WHO, about 60-85% of the world's population fails to complete the recommended amount of physical activity required to induce health benefits. It is necessary to assess health status for designing and programming about exercise activities. In this study the effectiveness of Transtheoretical Model (TTM in predicting exercise activities among the students of Islmaic Azad University of Sabzevar was examined. Methods: In this cross sectional-Correlational study. A random (clustered sample of 234 university students in Islamic Azad university of Sabzevar, participated in the study. A standard instrument was used to measure the variables of interest based on transtheoretical model. Reliability and validity of the questionnaire was examined by a panel of experts and cronbach alpha (N=30, α=0.83-0.95. The data were analyzed by SPSS 16.00 statistical software using Path analysis based regression, t-test and ANOVA and Correlation. Results: According to the results, the average age of students was 22.5±3.8 years. The distribution of the participants according to the stages of change model was as follows: pre-contemplation 36.3%, contemplation 25.6%, preparation, 18.9%, action, 10.5% and maintenance 8.7%.These were significant differences between mean of self efficacy, process of change, decisional balance by sex (p<0.05 and stages of change (p<0.01. Behavioral process of change (β=0.399 and self efficacy (β=0.350 were the most important variables for improving levels of exercise. Conclusion: Because the most students (62% were at precontemplation, contemplation and preparation stages and the results showed that behavioral process of change perceived barriers and self efficacy are the most important predictors for improving levels of exercise. Thus, policies and programs to strengthen these factors to promote exercise activities among students is recommended.

[Applications of GIS in biomass energy source research].

Science.gov (United States)

Su, Xian-Ming; Wang, Wu-Kui; Li, Yi-Wei; Sun, Wen-Xiang; Shi, Hai; Zhang, Da-Hong

2010-03-01

Biomass resources have the characteristics of widespread and dispersed distribution, which have close relations to the environment, climate, soil, and land use, etc. Geographic information system (GIS) has the functions of spatial analysis and the flexibility of integrating with other application models and algorithms, being of predominance to the biomass energy source research. This paper summarized the researches on the GIS applications in biomass energy source research, with the focus in the feasibility study of bioenergy development, assessment of biomass resources amount and distribution, layout of biomass exploitation and utilization, evaluation of gaseous emission from biomass burning, and biomass energy information system. Three perspectives of GIS applications in biomass energy source research were proposed, i. e., to enrich the data source, to improve the capacity on data processing and decision-support, and to generate the online proposal.

Interdepartmental circular on nuclear and radiological emergency exercises

International Nuclear Information System (INIS)

2011-01-01

This document deals with the planning of nuclear and radiological emergency exercises for 2012 in France. It discusses the return on experience of these exercises, identifies the national objectives for 2012, and indicates the exercise agenda for 2012 and predictions for 2013. The appendix is a guide for the preparation and assessment of these exercises. It indicates the concerned references and regulations, describes the classification of these exercises, and indicates how they must be prepared, performed and reported, how they must be assessed, and the different aspects which must be addressed in terms of return on experience

Application of GIS in Urban Traffic Noise Pollution

OpenAIRE

Manouchehr Omidvari; Ali Asghar Alesheikh

2010-01-01

Large urban areas are facing growing problems of noise pollutions. Geospatial Information Systems (GIS) can conveniently be adapted to gather, analyze and present noise information. GIS can also be extended to answer to user specific problems through deterministic and statistics models. The objectives of this research were to measure urban traffic noise levels, analyze temporal and spatial dynamics of urban traffic-induced noise pollution in the first districted of Tehran estimate the noise f...

Do cognitive measures and brain circuitry predict outcomes of exercise in Parkinson Disease: a randomized clinical trial.

Science.gov (United States)

King, L A; Peterson, D S; Mancini, M; Carlson-Kuhta, P; Fling, B W; Smulders, K; Nutt, J G; Dale, M; Carter, J; Winters-Stone, K M; Horak, F B

2015-10-24

There is emerging research detailing the relationship between balance/gait/falls and cognition. Imaging studies also suggest a link between structural and functional changes in the frontal lobe (a region commonly associated with cognitive function) and mobility. People with Parkinson's disease have important changes in cognitive function that may impact rehabilitation efficacy. Our underlying hypothesis is that cognitive function and frontal lobe connections with the basal ganglia and brainstem posture/locomotor centers are responsible for postural deficits in people with Parkinson's disease and play a role in rehabilitation efficacy. The purpose of this study is to 1) determine if people with Parkinson's disease can improve mobility and/or cognition after partaking in a cognitively challenging mobility exercise program and 2) determine if cognition and brain circuitry deficits predict responsiveness to exercise rehabilitation. This study is a randomized cross-over controlled intervention to take place at a University Balance Disorders Laboratory. The study participants will be people with Parkinson's disease who meet inclusion criteria for the study. The intervention will be 6 weeks of group exercise (case) and 6 weeks of group education (control). The exercise is a cognitively challenging program based on the Agility Boot Camp for people with PD. The education program is a 6-week program to teach people how to better live with a chronic disease. The primary outcome measure is the MiniBESTest and the secondary outcomes are measures of mobility, cognition and neural imaging. The results from this study will further our understanding of the relationship between cognition and mobility with a focus on brain circuitry as it relates to rehabilitation potential. This trial is registered at clinical trials.gov (NCT02231073).

Perceived exercise self-efficacy as a predictor of exercise behavior in individuals aging with spinal cord injury.

Science.gov (United States)

Kroll, Thilo; Kratz, Anna; Kehn, Matthew; Jensen, Mark P; Groah, Suzanne; Ljungberg, Inger H; Molton, Ivan R; Bombardier, Charles

2012-08-01

The purpose of this study was to test the hypothesized association between exercise self-efficacy and exercise behavior, controlling for demographic variables and clinical characteristics, in a sample of individuals with spinal cord injuries. A cross-sectional national survey of 612 community-dwelling adults with spinal cord injury in the United States ranging from 18 to 89 yrs of age was conducted. Sample consisted of 63.1% men with a mean (SD) duration of 15.8 (12.79) yrs postinjury; 86.3% reported using a wheelchair. Self-efficacy was the only independent variable that consistently predicted all four exercise outcomes. Self-efficacy beliefs were significantly related to frequency and intensity of resistance training (R(2) change = 0.08 and 0.03, respectively; P exercise frequency and intensity (R(2) change = 0.01 and 0.03, respectively; P exercise. Self-efficacy beliefs play an important role as predictors of exercise. Variations in exercise intensity along the age continuum have implications for exercise prescription and composition. Future research should replicate findings with objective activity measures.

Prediction of spatial distribution for some land use allometric ...

African Journals Online (AJOL)

Prediction of spatial distribution for some land use allometric characteristics in land use planning models with geostatistic and Geographical Information System (GIS) (Case study: Boein and Miandasht, Isfahan Province, Iran)

Assessment and GIS mapping of terrestrial Gamma radiation in Elfao area in Elgedaref states

International Nuclear Information System (INIS)

Hassan, N. S.

2012-09-01

This study is a part of national programme with an overall objective of producing radioactivity map for Sudan. It is carried out in Elfao area, the area which cover West Elgadareif and East Aljazeera State. Soil samples were collected with the aid of global positioning system (GPS) and the activity concentration of 40 K , 2 38U , 232 Th, have been measured using Nal γ-spectrometry. The average concentrations were 322±241 Bq/kg for 40 K, 20±7 Bq/kg for 2 38U and 27±1.4 Bq/kg for 232 Th. The obtained results were found to be lower than the corresponding global values reported in the UNSCEAR publications for normal areas Absorbed dose rate in air a height of 1m from the ground as calculated from the measured activity concentration using of Dose Rate Conversion Factors (DRCF) averaged 39 n Gy/h with corresponding to an annual effective dose of 48 μSv/y. These values lie within the worldwide range for normal radiation areas. Using Geographical Information System (GIS), prediction maps for activity concentrations of 40 K, 2 38U , 232 Th were produced. Similar GIS predictive map for absorbed dose rate in air at a height of above ground level was produced, which showed a trend of increase from the East towards West of the study area.(Author)

An ArcGIS decision support tool for artificial reefs site selection (ArcGIS ARSS)

Science.gov (United States)

Stylianou, Stavros; Zodiatis, George

2017-04-01

Although the use and benefits of artificial reefs, both socio-economic and environmental, have been recognized with research and national development programmes worldwide their development is rarely subjected to a rigorous site selection process and the majority of the projects use the traditional (non-GIS) approach, based on trial and error mode. Recent studies have shown that the use of Geographic Information Systems, unlike to traditional methods, for the identification of suitable areas for artificial reefs siting seems to offer a number of distinct advantages minimizing possible errors, time and cost. A decision support tool (DSS) has been developed based on the existing knowledge, the multi-criteria decision analysis techniques and the GIS approach used in previous studies in order to help the stakeholders to identify the optimal locations for artificial reefs deployment on the basis of the physical, biological, oceanographic and socio-economic features of the sites. The tool provides to the users the ability to produce a final report with the results and suitability maps. The ArcGIS ARSS support tool runs within the existing ArcMap 10.2.x environment and for the development the VB .NET high level programming language has been used along with ArcObjects 10.2.x. Two local-scale case studies were conducted in order to test the application of the tool focusing on artificial reef siting. The results obtained from the case studies have shown that the tool can be successfully integrated within the site selection process in order to select objectively the optimal site for artificial reefs deployment.

An evaluation of Public servant awareness and use of GIS/Remote ...

African Journals Online (AJOL)

UDOKA ASIYANBOLA

supply (electricity) problem, lack of knowledge about GIS/remote sensing ... Key words: Public servant, Geographical Information Systems (GIS), Remote Sensing, ... space science and technology for the socio-economic benefits of the nation.

L’analisi spaziale tramite GIS a supporto di filiere agroenergetiche

Directory of Open Access Journals (Sweden)

Flavio Lupia

2008-03-01

Full Text Available GIS spatial analysis in support of agroenergy developmentA feasibility study for an agro-energy district in the Latium region has been carried out using GIS tools to evaluate suitable areas for the cultivation of new energy crops for biofuel. This paper briefly describes the results of the sunflower land suitability analysis. The methodology used is based on crop suitability factors, cultivation constraints and GIS processing.The core processing is based on a multi-criteria analysis. The final result is a crop land suitability map.

Cigarette Taxes, Smoking-and Exercise?

Science.gov (United States)

Conway, Karen Smith; Niles, David P

2017-08-01

This research provides the first in-depth analysis of the effect that increased cigarette taxes have on exercise behavior. Smoking may diminish the ability to exercise; individuals may also use exercise to compensate for the harmful health effects of smoking or to avoid gaining weight if they cut back. Our conceptual model highlights these and several other avenues for effect and reveals that the predicted effect of cigarette costs on exercise behavior is theoretically ambiguous. To investigate the relationship empirically, 1994-2012 data from the behavioral risk factor surveillance system are combined with state level cigarette tax rates and other state level variables. Several measures of both smoking and exercise behavior are created and estimated in reduced form models. Our results suggest that both smoking and exercise are reduced by cigarette taxes. However, the effects on exercise may be more complicated as we find that certain groups, such as young adults or those who have recently quit smoking, are affected differently. Our analyses also show that the responsiveness of both smoking and exercise behavior to cigarette costs is much smaller in the 2000s, an era of high-tax increases. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Can a fatigue test of the isolated lumbar extensor muscles of untrained young men predict strength progression in a resistance exercise program?

NARCIS (Netherlands)

Helmhout, P.; Staal, B.; Dijk, J. van; Harts, C.; Bertina, F.; Bie, R. de

2010-01-01

AIM: The aim of this exploratory study was to investigate the predictive value of a fatigue test of the lumbar extensor muscles for training progression in a group of 28 healthy but predominantly sedentary male students, in an 8-week resistance exercise program. METHODS: A three-phased fatigue test

GIS Education in Taiwanese Senior High Schools: A National Survey among Geography Teachers

Science.gov (United States)

Wang, Yao-Hui; Chen, Che-Ming

2013-01-01

Following the integration of GIS into the national curriculum standards of senior high school geography, Taiwan has systematically implemented GIS education for over a decade. However, the effectiveness of this implementation is currently unclear. Therefore, this study investigates the status of GIS education in Taiwanese senior high schools. A…

Emerging role of Geographical Information System (GIS), Life Cycle Assessment (LCA) and spatial LCA (GIS-LCA) in sustainable bioenergy planning.

Science.gov (United States)

Hiloidhari, Moonmoon; Baruah, D C; Singh, Anoop; Kataki, Sampriti; Medhi, Kristina; Kumari, Shilpi; Ramachandra, T V; Jenkins, B M; Thakur, Indu Shekhar

2017-10-01

Sustainability of a bioenergy project depends on precise assessment of biomass resource, planning of cost-effective logistics and evaluation of possible environmental implications. In this context, this paper reviews the role and applications of geo-spatial tool such as Geographical Information System (GIS) for precise agro-residue resource assessment, biomass logistic and power plant design. Further, application of Life Cycle Assessment (LCA) in understanding the potential impact of agro-residue bioenergy generation on different ecosystem services has also been reviewed and limitations associated with LCA variability and uncertainty were discussed. Usefulness of integration of GIS into LCA (i.e. spatial LCA) to overcome the limitations of conventional LCA and to produce a holistic evaluation of the environmental benefits and concerns of bioenergy is also reviewed. Application of GIS, LCA and spatial LCA can help alleviate the challenges faced by ambitious bioenergy projects by addressing both economics and environmental goals. Copyright © 2017 Elsevier Ltd. All rights reserved.

Regional planning and modelling of nitrate leaching in Denmark using DaisyGIS

DEFF Research Database (Denmark)

Veihe, Anita; Jensen, Niels H.; Boegh, Eva