Int. J. Appl. Geospat. Res.最新文献

{"title":"Urban Sprawl Monitoring using Remote Sensing and GIS Techniques of the City Jaipur, India","authors":"P. Sisodia, V. Tiwari, A. Dahiya","doi":"10.4018/IJAGR.2016070104","DOIUrl":"https://doi.org/10.4018/IJAGR.2016070104","url":null,"abstract":"The rapid increase in population of India forced people to migrate from rural areas and small towns to metropolitan cities for better employment, education, and, good lifestyle. Major cities of India were industrialized and required more work force in metropolitan cities, leading to uncoordinated and unplanned growth, often termed as urban sprawl. Urban sprawl destroyed the natural resources such as open green space, agricultural land, open water bodies and ground water. In this paper, an attempt has been made to monitor urban sprawl using Shannon's Entropy model, Remote Sensing, and GIS for city Jaipur, India. The changed entropy value during the years 1972–2013 proves more dispersed growth in the city. The built-up area of Jaipur has increased from 40 km2 in 1972 to 400 km2 in 2013. Land use percentage of urban settlement is doubled as compared to the urban population of Jaipur during 1972–2013. This study shows remarkable urban sprawl in fringe areas of Jaipur city in the last 41 years.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117183000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GIS and the A'i of Colombia: Reserves, Resguardos and the Future","authors":"A. Stocks, Manuela Ruiz Reyes, Carlos Andrés Rios-Franco","doi":"10.4018/IJAGR.2016070103","DOIUrl":"https://doi.org/10.4018/IJAGR.2016070103","url":null,"abstract":"This paper presents the work of the WCS with the A'i Indigenous people in Colombia as part of a USAID-funded project between 2009 and 2011. The project had several dimensions that make it unusual. Unlike conventional \"counter-mapping\" attempts to represent Indigenous land claims as a counter to government representations, the project sought to create maps and analyses that represent prior land assignments to the A'i by the Colombian government itself. These land assignments were not supported by geo-referenced maps and, in the case of Indigenous \"reserves\" the original boundary markers were only known to the oldest of the A'i people. Analysis of forest cover in lands controlled by the A'i reveal that they are highly protective of forests; indeed their collective identity is strongly related to forest cover. The process described also illustrates the difficult position many Indigenous Amazonians face in an era of drug wars, uncontrolled colonization, and in the case of Colombia, the lack of follow-up to the political and social measures envisioned in the 1991 Constitution.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133599446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Supporting Aeronautical Information Management (AIM) Through Geographic Information Technologies and Spatial Data Infrastructures (SDI)","authors":"W. Siabato, Javier Moya-Honduvilla, M. A. B. Poveda","doi":"10.4018/IJAGR.2016070101","DOIUrl":"https://doi.org/10.4018/IJAGR.2016070101","url":null,"abstract":"The way aeronautical information is managed and disseminated must be modernized. Current aeronautical information services (AIS) methods for storing, publishing, disseminating, querying, and updating the volume of data required for the effective management of air traffic control have become obsolete. This does not contribute to preventing airspace congestion, which turns into a limiting factor for economic growth and generates negative effects on the environment. Owing to this, some work plans for improving AIS and air traffic flow focus on data and services interoperability to allow an efficient and coordinated use and exchange of aeronautical information. Geographic information technologies (GIT) and spatial data infrastructures (SDI) are comprehensive technologies upon which any service that integrates geospatial information can rely. The authors are working on the assumption that the foundations and underlying technologies of GIT and SDI can be applied to support aeronautical data and services, considering that aeronautical information contains a large number of geospatial components. This article presents the design, development, and implementation of a Web-based system architecture to evolve and enhance the use and management of aeronautical information in any context, e.g., in aeronautical charts on board, in control towers, and in aeronautical information services. After conducting a study into the use of aeronautical information, it was found that users demand specific requirements regarding reliability, flexibility, customization, integration, standardization, and cost reduction. These issues are not being addressed with existing systems and methods. A system compliant with geographic standards (OGC, ISO) and aeronautical regulations (ICAO, EUROCONTROL) and supported by a scalable and distributed Web architecture is proposed. This proposal would solve the shortcomings identified in the study and provide aeronautical information management (AIM) with new methods and strategies. In order to seek aeronautical data and services interoperability, a comprehensive aeronautical metadata profile has been defined. This proposal facilitates the use, retrieval, updating, querying, and editing of aeronautical information, as well as its exchange between different private and public institutions. The tests and validations have shown that the proposal is achievable.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128489130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Model for Selecting Viticultural Sites in the Piedmont Triad Region of North Carolina","authors":"J. W. Nowlin, Rick L. Bunch","doi":"10.4018/IJAGR.2016070102","DOIUrl":"https://doi.org/10.4018/IJAGR.2016070102","url":null,"abstract":"The North Carolina wine industry is growing at a fast pace. Many new vineyards are being planted with European varieties. Vitis vinifera varieties in general are the most challenging species of grape grown, requiring considerable effort to consistently produce yields of appropriate volume and good quality. The model produced in this research was designed to help guide site selection for V. vinifera vineyards in the North Carolina Piedmont. This is accomplished using a site suitability model and predictive geophysical parameters. The area of interest is Rockingham County, North Carolina. The model consists of four sets of factors each weighted and combined into sub-model composites. These sub-model composites represent the capability/suitability of: topography, soil, land use/land cover, and climate. The four sub-model composites were weighted and combined to produce the final output that summarizes the viticultural site suitability for the study area.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130111000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"We Know Where You Are: In Space and Place - Enriching the Geographical Context through Social Media","authors":"Xining Yang, X. Ye, D. Sui","doi":"10.4018/IJAGR.2016040105","DOIUrl":"https://doi.org/10.4018/IJAGR.2016040105","url":null,"abstract":"The convergence of social media and GIS provides an opportunity to reconcile space-based GIS and place-based social media. For this purpose, the authors conduct an empirical study in Columbus, Ohio, aiming to enrich both the spatial and platial context of geo-tagged data, using location-based social media Foursquare checkins as an example. An exploratory analytical approached is used to enrich the geographic context of social media data in both space and place. Specifically, exploratory spatial data analysis and point of interest matching are applied to analyze about 50,000 checkins crawled from social media feeds. It is found that checkins tend to be spatially clustered near the center of the city. Popular places related to food, services, and retail shopping venues are more likely to be reported by social media users. The authors also conducted platial analysis of the top 25 popular place venues in the study area.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121489090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial and Temporal Patterns of Wetland Cover Changes in East Kolkata Wetlands, India from 1972 to 2011","authors":"Xia Li, C. Mitra, L. Marzen, Qichun Yang","doi":"10.4018/ijagr.2016040101","DOIUrl":"https://doi.org/10.4018/ijagr.2016040101","url":null,"abstract":"Land use and land cover change has a slow but prolonged impact on various aspects of environment on local, regional and global scales. In developing countries especially population pressure and food demand have compelled conversion of wetlands to built-up and agricultural lands. One such unique example is the East Kolkata Wetlands (EKWs) located on the eastern fringes of Kolkata City in India where such land cover change is very intense and rapid. In this study, wetland conversions in EKWs from 1972 to 2011 were analyzed with four Landsat images using the Geographic Object-Based Image Analysis (GeOBIA) and a post-classification comparison. Results suggested that wetland areas decreased by 17.9 percent during the study period. The western part of the wetlands saw the maximum conversion of wetlands to built-up areas with time, whereas the east and south experienced more of wetlands to agricultural and other land conversions","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127049643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Taxonomic Analysis of Perspectives in Generating Space-Time Research Questions in Environmental Sciences","authors":"X. Ye, Bing She, Huanyang Zhao, Xiaoyan Zhou","doi":"10.4018/IJAGR.2016040104","DOIUrl":"https://doi.org/10.4018/IJAGR.2016040104","url":null,"abstract":"Research questions in environment science can be decomposed into three basic dimensions: space, time and statistics. The combinations of these three dimensions reflect the diverse perspectives of observations across multiple scales. One can classify these scales into four types: individual, local, meso, and global. Following this multi-dimensional and multi-scale framework, this paper conducts a taxonomic analysis that systematically classifies research questions in environmental science. This taxonomic analysis includes papers from a leading environmental science journal. The results show that the majority of research questions are directed at local and global scale analyses. Studies that incorporate many scales of analysis are not necessarily more sophisticated than studies that investigate a single scale. Nonetheless, it's beneficial to explore more possibilities by investigating data at different perspectives. This taxonomy could help generating research questions and providing guidance for building analytic workflow systems to fill the gaps in future scientific endeavors.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130803043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Water Quality Estimation Using Combined Water Chemistry and Field Spectroscopy in the Shenandoah River, Virginia","authors":"M. Mbuh, P. Houser, A. Heidari","doi":"10.4018/ijagr.2016040102","DOIUrl":"https://doi.org/10.4018/ijagr.2016040102","url":null,"abstract":"This study investigated the spatial dynamics of water quality across the Shenandoah River basin using spectroscopy and chemometrics to estimate chlorophyll (Chl), colored dissolved organic matter (CDOM) and turbidity using three band combinations and nutrients (total nitrogen and total phosphorous) in the Shenandoah River. The mean Chl a concentration for 555 nm, 560 nm and 640 nm were; 0.31 µg/l, 0.33 µg/l, and 0.51 µg/l respectively. Chlorophyll a showed strong correlations at band 640 (r = 0.92). The bands centered at 670/490 were the best in predicting CDOM and turbidity in the Shenandoah River Basin with an r2 = 0.56. Chemometrics analysis show that total phosphorous, nitrogen and turbidity can be predicted between 450 to 555nm and 670 to 710 nm, the range of wavelengths which indicated better predictability for spectroscopic analysis. The resultant concentration is used to develop predictive models to determine sensitive spectral variables for nitrogen, phosphorous, Chl-a, and CDOM.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117252946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Residential Patterns of Korean Americans in the Chicago Metropolitan Area: A Longitudinal Study of Spatial Assimilation in a Multi-Ethnic Context","authors":"Donghee Koh, Sunita George","doi":"10.4018/IJAGR.2016040103","DOIUrl":"https://doi.org/10.4018/IJAGR.2016040103","url":null,"abstract":"The city of Chicago is home to the third largest concentration of Korean Americans in the United States. It is estimated that four out of five Korean Americans in Chicago live in the suburbs. In this paper, the authors examine the extent of spatial assimilation of Korean Americans with both the “mainstream†American populations, namely, the Caucasian, Black and Hispanic populations, and also their residential patterns vis-A -vis other dominant Asian sub-groups in Chicago—Chinese, Indians and Filipinos. Their analysis examines spatial assimilation of Korean Americans in terms of their residential segregation/integration from 1970 to 2010 in a multi-ethnic context. Results indicate that in general Koreans are becoming more integrated (less segregated) with the White population over the forty year time period in every major county where they were clustered, while they are generally more segregated from the Black and Hispanic populations. Among the dominant Asian sub-groups, Korean Americans tended to be more integrated with Chinese and Indian populations, and more segregated from the Filipino population.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127490336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial Aspects of Mortality Rates and Neighborhood Environmental Characteristics in Seoul Mega City Region, South Korea","authors":"Yoohyung Joo, Heeyeon Lee","doi":"10.4018/ijagr.2015100103","DOIUrl":"https://doi.org/10.4018/ijagr.2015100103","url":null,"abstract":"This study of the spatial patterns of standardized mortality rates SMRs in Seoul Mega City Region SMCR explores whether neighborhood characteristics affect mortality rates and identifies important determinants of spatial disparity in mortality rates in SMCR. Spatial patterns of mortality rates show a strong positive spatial autocorrelation, suggesting that mortality rates are spatially clustered. A spatial lag model and a GWR model were used to reflect the spatial aspect of mortality rates. The spatial lag model showed better model fitness by considering spatial dependence of mortality rates. It indicates that a higher level of residential deprivation, a less walkable environment, less economic affluence and less social participation are all associated with higher mortality rates with statistical significance. This study suggests that health and welfare policy could incorporate urban planning to consider the neighborhood factors which determine mortality rates in order to improve the health of neighborhood residents.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114438279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}