{"title":"Re-Operationalizing 'Open-Country': Introducing a Place-Level Geography for the Study of Rural Crime","authors":"J. Porter, Joel A. Capellan, F. Howell","doi":"10.4018/IJAGR.2017040102","DOIUrl":"https://doi.org/10.4018/IJAGR.2017040102","url":null,"abstract":"The proper operationalization of urban and rural is extremely important to our understanding of the impacts of specific ecological context on human behavior. However, even with the ever-improving definitional advancements, our understanding of these community-level concepts, in regards to a comprehensive geographic space, is still somewhat unsatisfying. This article aims to contribute to this issue through the introduction of a 'place' based geography using current Census geographies in the creation of a unified geographic landscape of the contiguous United States. The new place-level geography is superior to previous operational approaches to identifying urban and rural communities in that it allows for the examination of both without the additional variation inherent in larger geographies and providing a more comprehensive coverage than smaller geographies. Furthermore, this approach allows for the development of a unique, but phenomenologically meaningful, sub-county geography that substantively holds meaning in conceptualizing rural and urban ecological context.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114579711","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}
M. Rahman, T. W. Schmidlin, M. Munro-Stasiuk, Andrew Curtis
{"title":"Geospatial Analysis of Land Loss, Land Cover Change, and Landuse Patterns of Kutubdia Island, Bangladesh","authors":"M. Rahman, T. W. Schmidlin, M. Munro-Stasiuk, Andrew Curtis","doi":"10.4018/IJAGR.2017040104","DOIUrl":"https://doi.org/10.4018/IJAGR.2017040104","url":null,"abstract":"This study utilizes geospatial tools of remote sensing, geographical information systems (GIS), and global positioning system (GPS) to examine the land loss, land cover (LC) change, landuse of Kutubdia Island, Bangladesh. Multi-spectral Scanner (MSS), Thematic Mapper (TM), and Landsat8 OLI imageries were used for land cover change. For assessing the landuse patterns of 2012, spatial video data were collected by using contour GPS camera. Using remote sensing analysis three different land cover classes (water, trees and forest, and agriculture) were identified and land cover changes were detected from 1972 to 2013. The results show from 1972 to 2013, an estimated 9 km2 of land has been lost and significant changes have taken place from 1972 to 2013. Only an estimated .35 km2 area of accretion has taken place during the study period. Using GIS eight different landuse patterns were identified based on spatial video data.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122699811","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":"Coastline Change and Erosion-Accretion Evolution of the Sandwip Island, Bangladesh","authors":"A. Emran, Md. Abdur Rob, M. Kabir","doi":"10.4018/IJAGR.2017040103","DOIUrl":"https://doi.org/10.4018/IJAGR.2017040103","url":null,"abstract":"The study tries to analyze the morphological and hydrological changes and to establish their relationship in the Sandwip Island through the integration of Remote Sensing (RS) and Geographic Information Systems (GIS). The study concludes from the recent 30 years' data that the different parts of the island response different cycle of coastline change associated with hydrological dynamics. The resulted net loss of the coastline is about 6.98 km (0.23 km/y) and the net loss of the coastal area is about 23.99 km2 (0.8 km2/y). The erosion processes (increase in the water depth near shore) were active along the western and the south-western shores. This erosion of the island is facilitated by the steep slope of the bank, high tidal water pressure and loose bank materials. In contrast, the accretions (decrease in the water depth near shore) were taken place in the larger parts of the northern and the north-eastern shores of the island. This is due to the backwash sediment deposition with the favor of gentle topographic slope along shores.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115937976","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-Based Logistic Regression for Landslide Susceptibility Analysis in Western Washington State","authors":"Lucas A. Dailey, S. Fuhrmann","doi":"10.4018/IJAGR.2017040101","DOIUrl":"https://doi.org/10.4018/IJAGR.2017040101","url":null,"abstract":"The Oso landslide, one of the most recent disasters, occurred on March 22nd, 2014 in western Washington State. It caused significant property damage and killed over 40 people. As a result, a renewed interest has emerged for creating more accurate landslide susceptibility maps for this region. Research addressing landslide susceptibility within the north Puget Sound region of western Washington is lacking; therefore, this study develops a probabilistic GIS-based landslide susceptibility model for the north Puget Sound region. Multivariate logistic regression was utilized to create a landslide susceptibility map of Whatcom, Skagit, Snohomish, and King Counties. To predict probable areas of landslide occurrence, a landslide inventory map was prepared and fourteen topographic, geologic, environmental, and climatic predictor variables were considered. This research aims to assist in restructuring western Washington's landslide policies, and could serve as the first step in producing more accurate landslide susceptibility maps for the region.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116208020","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 Analysis of Climate-Viticulture Indices for the Eastern United States","authors":"R. MacCracken, P. Houser","doi":"10.4018/IJAGR.2016100102","DOIUrl":"https://doi.org/10.4018/IJAGR.2016100102","url":null,"abstract":"This study characterizes the climate structure in the Eastern United States for suitability of winegrape growth. For this study, the Eastern US is defined as the 44 contiguous Eastern most states. This excludes the premium wine growing states of California, Washington, Oregon and Idaho. For this characterization, a comparative study is performed on the four commonly used climate-viticulture indices i.e., Average Growing Season Temperature, Growing Degree Days, Heliothermal Index and Biologically Effective Degree Days, and a new climate-viticulture index, the Modified-GSTavg Mod-GSTavg. This is accomplished using the 1971-2000 PRISM 800-meter resolution dataset of climate temperature normal for the study area of 44 states and 62 American Viticultural Areas across the Eastern United States. The results revealed that all the climate indices have similar spatial patterns throughout the US with varying magnitudes and degrees of suitability.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128575950","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":"Applying Geospatial Information and Services Capabilities Beyond the Battlespace","authors":"Brian J. Cullis, David F. LaBranche","doi":"10.4018/IJAGR.2016100106","DOIUrl":"https://doi.org/10.4018/IJAGR.2016100106","url":null,"abstract":"While geospatial information resources have traditionally imparted situational awareness in the battlespace, the past twenty years has witnessed broad adoption in other defense environments as well. This paper describes the major catalysts spurring broader investment and use of geospatial information and services (GI&S) beyond the battlespace and into a parallel defense installation mission area known as basingspace. Furthermore, the paper details how the benefits of GI&S for delivering shared situational awareness in both battlespace and basingspace has the National Guard poised to exploit geospatial technologies in a more strategic manner. This paper presents a concise history of how social and technical factors influenced the diffusion of applied geospatial technologies within the defense sector and the potential for greater unity of geospatial efforts for the Department of Defense and the nation.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132431539","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":"Military Geography Research Notes","authors":"S. Fleming","doi":"10.4018/IJAGR.2016100103","DOIUrl":"https://doi.org/10.4018/IJAGR.2016100103","url":null,"abstract":"Military Geography is a subject that has interested many people for centuries. Military professionals, academics and historians have studied the impacts of physical and human landscapes on military operations in great detail. Today, interfacing with geographic information science and technology, applied geospatial research and the follow-on implementations thereof have greatly impacted the full range of military and homeland security operations. Complex uses of geospatial applications across many domains, in both the physical and social sciences, have become increasingly necessary. These include rapid data collection from disparate satellite, aerial, and terrestrial collection platforms, coupled with human intelligence, with follow-on injection into data bases registered to different security levels. Responsive data distribution from which integrated automated and manual geospatial analysis has also been conducted. Products generated from these data, systems and applications have enabled multiple services and agencies to \"see\" terrain as a common operating picture COP.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133757293","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":"Accelerating Geospatial Modeling in ArcGIS with Graphical Processor Units","authors":"M. Tischler","doi":"10.4018/IJAGR.2016100104","DOIUrl":"https://doi.org/10.4018/IJAGR.2016100104","url":null,"abstract":"Geospatial data can be enormous in size and tedious to process efficiently on standard computational workstations. Distributing the processing tasks through highly parallelized processing reduces the burden on the primary processor and processing times can drastically shorten as a result. ERSI's ArcGIS, while widely used in the military, does not natively support multi-core processing or utilization of graphic processor units (GPUs). However, the ArcPy Python library included in ArcGIS 10 provides geospatial developers with the means to process geospatial data in a flexible environment that can be linked with GPU application programming interfaces (APIs). This research extends a custom desktop geospatial model of spatial similarity for remote soil classification which takes advantage of both standard ArcPy/ArcGIS geoprocessing functions and custom GPU kernels, operating on an NVIDIA Tesla S2050 equipped with potential access to 1792 cores. The author will present their results which describe hardware and software configurations, processing efficiency gains, and lessons learned.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129106239","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":"Geospatial Resource Integration in Support of Homeland Defense and Security","authors":"David Foster, Chris Mayfield","doi":"10.4018/IJAGR.2016100105","DOIUrl":"https://doi.org/10.4018/IJAGR.2016100105","url":null,"abstract":"The U.S. Department of Defense (DoD) has faced numerous challenges within the realm of Geospatial Information Systems and Science in fostering a Common Operational Picture suitable to homeland defense and security. This paper details the challenges and successes since September 11th, 2001 to build common ground for all federal, state, local governments, and non-government organizations that depend on geospatial data to provide for the safety and security of the Nation. An analysis of the protracted integration of commercial GIS technologies within the DoD and the speed, openness, and scale this expertise can bring is discussed as an issue for the Federal response to disasters. Finally, distinct successes of collaboration and integration of common standards and data currently in use at military commands is discussed as a robust path to improve future geospatial efforts.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129358140","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":"The Location Types of US Retailers","authors":"L. Joseph, M. Kuby","doi":"10.4018/IJAGR.2016100101","DOIUrl":"https://doi.org/10.4018/IJAGR.2016100101","url":null,"abstract":"This manuscript presents the results of an inductive analysis of the types of locations chosen by US retailers. Using a large cross-sectional database, including fifty US retail chains and over 70,000 store locations, a classification of retail location types is presented using cluster analysis on situational and trade area data. These data are then applied to create a location profile for each retailer. Based on the results of the first cluster analysis, a second cluster analysis then groups together the chains with the most similar location profiles. A total of twelve distinct location types were identified in the first cluster analysis. Eight groupings of retailers with similar location profiles were identified in the second cluster analysis. Retailers within the same retail business chose similar types of locations and thus were placed in the same clusters. Retailers generally restrict their deployment to one of three overall strategies including metropolitan, large retail areas, or market size variety with specialty retailers favoring large retail areas of urban markets.","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114143598","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}