{"title":"Exploring the effect of access to health care and community-level characteristics on mortality in West Virginia","authors":"Sarah Woolard, Faith M. Hartley, J. Conley","doi":"10.1080/23754931.2023.2192219","DOIUrl":"https://doi.org/10.1080/23754931.2023.2192219","url":null,"abstract":"Abstract Access to primary health care is a long-standing challenge in West Virginia and Appalachia. While it is known that limited access to care is associated with adverse health outcomes, the spatial variation of this effect is less studied. This research examines the spatial distribution of all-cause mortality at the county scale within West Virginia, and its association with access to primary health care facilities. This study used ArcGIS Pro 2.9 to examine total age-adjusted mortality rates, community characteristics, and spatial health care access at the county level using various spatial statistical methods. Mortality rates were highest in the southern part of the state, which also has limited health care access. Increased spatial access was associated with lower mortality rates across the state, supporting the idea that spatial access to health care is essential to improve public health strategies in Appalachia.","PeriodicalId":36897,"journal":{"name":"Papers in Applied Geography","volume":"74 1","pages":"315 - 324"},"PeriodicalIF":0.0,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85503772","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}
L. Niño, Alexis J Jaramillo, Victor Villamizar, O. Rangel
{"title":"Geomorphology, Land-Use, and Hemeroby of Foothills in Colombian Orinoquia: Classification and Correlation at a Regional Scale","authors":"L. Niño, Alexis J Jaramillo, Victor Villamizar, O. Rangel","doi":"10.1080/23754931.2023.2189921","DOIUrl":"https://doi.org/10.1080/23754931.2023.2189921","url":null,"abstract":"Abstract In the management of ecosystem services, it is significant to relate land use with the physical characteristics of the terrain, which allows establishing the conditioning factors of human activities and planning their distribution. These analyzes are based on thematic cartography, usually generated with visual classifications of satellite images. Traditional mapping techniques involve limiting the timely availability of information by taking extended periods for interpretation and integration of multiple data sets. This article presents a methodology to overcome these difficulties, implements machine learning and cloud computing to generate timely thematic cartography and spatial analysis to support land use planning. The study area was delimited according to altitudinal levels that define braided and anastomosed river systems. Acquisition, processing, and classification of input data for modeling were performed on the Google Earth Engine platform. The spatial correlation between hemeroby and geomorphology was calculated with the odds ratio and its respective confidence interval. Maps of 27 geomorphological units, 11 types of land use, and six hemeroby levels are presented at a scale of 1:50,000. Confusion matrices of implemented classification models were also reported, allowed evaluating global, user’s, and producer’s accuracy. Correlations between relict of natural areas with the structural environment and urban infrastructure with alluvial fans stand out. The information generated by these procedures is essential for planning land use and prioritizing the maintenance of ecosystem services.","PeriodicalId":36897,"journal":{"name":"Papers in Applied Geography","volume":"1 1","pages":"295 - 314"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82027211","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}
Anupam Pandey, Arun Mondal, S. Guha, P. K. Upadhyay, Durgesh Singh
{"title":"A Long-Term Analysis of the Dependency of Land Surface Temperature on Land Surface Indexes","authors":"Anupam Pandey, Arun Mondal, S. Guha, P. K. Upadhyay, Durgesh Singh","doi":"10.1080/23754931.2023.2187314","DOIUrl":"https://doi.org/10.1080/23754931.2023.2187314","url":null,"abstract":"Abstract This study attempted to analyze the long-term dependency of land surface temperature (LST) on four land surface indexes—namely modified normalized difference water index (MNDWI), normalized difference bareness index (NDBaI), normalized difference built-up index (NDBI), and normalized difference vegetation index (NDVI)—in Imphal City, India, using the summer and winter Landsat satellite data for 1991, 1996, 2001, 2006, 2011, 2016, and 2021. These land surface indexes have a different response to LST variation in the city. The results show that the LST–NDVI correlation (r = –0.40 in summer, −0.36 in winter) and LST–MNDWI correlation (r = –0.31 in summer, −0.51 in winter) are moderately negative. In contrast, the LST–NDBaI correlation (r = 0.38 in summer, 0.49 in winter) and LST–NDBI correlation (r = 0.56 in summer, 0.69 in winter) are moderately positive. The correlation is less variable in winter. A gradually increasing trend is observed in the winter correlation, whereas the summer image does not have the same type of relationship trend. The study reflects an application of remote sensing on land surface features.","PeriodicalId":36897,"journal":{"name":"Papers in Applied Geography","volume":"11 1","pages":"279 - 294"},"PeriodicalIF":0.0,"publicationDate":"2023-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88777235","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":"Crime against Women in India: A Spatio-Temporal Analysis","authors":"Pintu Kabiraj","doi":"10.1080/23754931.2023.2183775","DOIUrl":"https://doi.org/10.1080/23754931.2023.2183775","url":null,"abstract":"Abstract Using the National Crime Record Bureau and National Sample Survey data, this article explores the spatial patterns of different types of crime against women (CAW) in India. To explain these spatial patterns, we use spatial panel data regression techniques that account for spatial dependencies between different CAW and their socio-economic predictors at the NSS-region level. The results show that different types of CAW have different time-consistent spatial clustering of high and low crime zone. Evidence has been found that the prevalence of CAW in a region is influenced by the CAW rate of its neighboring regions. This influence is linked to the spatial diffusion of harmful gender norms that spread across contiguous regions over time. Our results also confirm the importance of various women empowerment-related variables like female literacy rate, sex ratio, and female labor force participation rate in reducing the violence against women. These findings could have significant implications for the policies aiming to reduce CAW.","PeriodicalId":36897,"journal":{"name":"Papers in Applied Geography","volume":"37 1","pages":"261 - 278"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88139981","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":"Visualizing the Spatiotemporal Patterns of the Heart Disease Death Rates of Illinois, USA, 2008–2020: An Interactive and Animated Cartographic Approach","authors":"Shunfu Hu, Hannah Kolker","doi":"10.1080/23754931.2023.2179892","DOIUrl":"https://doi.org/10.1080/23754931.2023.2179892","url":null,"abstract":"Abstract The Illinois Department of Public Health has collected massive mortality data for the state from 2008 to 2020. Those data sets, however, are stored in numeric-text formats. Therefore, it is very difficult for the public and even health professionals to understand the spatial and temporal patterns of mortality across the state. In this article, the authors present the development of an interactive and animated cartographic approach to visualizing the spatiotemporal patterns of the death rates of heart disease in Illinois from 2008 to 2020. The interactive map was developed using the combination of ArcGIS Online and ArcGIS API for JavaScript. The map animation was created in Microsoft PowerPoint, was saved in MP4 video, and was uploaded to YouTube for public viewing. Both the interactive online map and map animation provide excellent tools for the visualization of spatiotemporal patterns of heart disease death rates in Illinois from 2008 to 2020. In addition, three sparkline graphs were generated in Microsoft Excel to reveal the temporal trend of the death rates: one for the state total, one for sex, and one for race ethnicity. It is expected that this approach can be used to visualize the spatiotemporal patterns of other public health information.","PeriodicalId":36897,"journal":{"name":"Papers in Applied Geography","volume":"35 1","pages":"125 - 135"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82066706","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":"An Exploratory Geospatial Typology of Illicit Massage Businesses in the Dallas-Fort Worth Metropolitan Area","authors":"Sean M. Crotty, Mark Daku","doi":"10.1080/23754931.2022.2160653","DOIUrl":"https://doi.org/10.1080/23754931.2022.2160653","url":null,"abstract":"Abstract Illicit massage businesses (IMBs) are a substantial element of the retail landscape in North America, and represent the most-visible illicit retail activity across the continent. The locational and descriptive data available to researchers from online IMB review sites allows for analysis of locational strategies of IMBs that are simply not possible with any other form of illegal commercial activity. And yet, spatial analyses of the industry to date all treat IMB firms as homogeneous features, rather than distinct firms that make locational choices to differentiate themselves from their competitors and/or make themselves more attractive to potential customers. The assumption of homogeneity produced conflicting and inconclusive results in previous IMB locational studies. This research begins the process of addressing this problem by drawing on extensive field surveying of IMB storefronts in the Dallas-Fort Worth Metro area to present the first geospatial typology of illicit massage businesses in North America. The typology represents a step toward a more nuanced understanding of the illicit massage industry, which can be used to improve locational analyses moving forward.","PeriodicalId":36897,"journal":{"name":"Papers in Applied Geography","volume":"7 1","pages":"149 - 170"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85192857","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}
Jose Antonio Alvarez-Lobato, José Antonio Cabrera-Pereyra, C. Garrocho
{"title":"The clustering of knowledge-intensive business services in Greater Mexico City, 2010 through 2020","authors":"Jose Antonio Alvarez-Lobato, José Antonio Cabrera-Pereyra, C. Garrocho","doi":"10.1080/23754931.2023.2164938","DOIUrl":"https://doi.org/10.1080/23754931.2023.2164938","url":null,"abstract":"Abstract This article analyzes knowledge-intensive business services (KIBS) clustering and location patterns in Greater Mexico City. Although there is evidence of the importance of KIBS clustering as a factor that precedes innovation, no empirical work has applied point pattern analysis methods to identify intrametropolitan patterns. Little is known about KIBS firms clustering in Mexico and emerging economies in general. This study responds to both challenges, using the M and m functions, point pattern analysis methods that allow capturing concentration intensity and overdensity of same-type KIBS firms, respectively. Firm-level data are taken from Mexico’s National Statistics and Geography Institute’s (INEGI) open-source databases for 2010 and 2020. Results suggest different clustering patterns given our proposed KIBS classification. Overall, the clustering intensity of KIBS firms by class has increased during the analyzed period (2010–2020). Also, although central Greater Mexico City is the main clustering pole of attraction, urban subcenters display KIBS firms clustering depending on proposed KIBS classes. Clustering patterns are explained given existing intrametropolitan infrastructure and value-added differences, but also within- and between-class concentration variations. Despite the lack of firm-level economic data, results allow inferring possible agglomeration mechanisms behind clustering patterns.","PeriodicalId":36897,"journal":{"name":"Papers in Applied Geography","volume":"26 1","pages":"193 - 213"},"PeriodicalIF":0.0,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75467857","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}
Riya Bhattacharjee, Mrinmoyee Naskar, Chandreyi Sengupta, P. K. Ghosh, Debajit Datta
{"title":"Regional Environmental Change, Farmers’ Perceptions and Resilient Farming: Experiences from the Sagar Island of Indian Sundarbans","authors":"Riya Bhattacharjee, Mrinmoyee Naskar, Chandreyi Sengupta, P. K. Ghosh, Debajit Datta","doi":"10.1080/23754931.2022.2160271","DOIUrl":"https://doi.org/10.1080/23754931.2022.2160271","url":null,"abstract":"Abstract This research analyzed the patterns of agricultural transformations and adjustments to rapid environmental changes in deltaic island ecosystems by considering the case of Sagar Island of Indian Sundarbans using decadal climatic datasets, geospatial information, and farmers’ perceptions. Farmers’ cognition was considered for identifying crops that were suitable for cultivation in the changing environment. Results indicated that the average annual temperature and precipitation in this region had increased notably since 1980. Similarly, surface soil salinity had also recorded an overall increase throughout the island during the last three decades. In such a scenario, local farmers were only able to profitably cultivate few salinity-tolerant varieties of paddy (e.g., Masoori, Kalma, Santoshi, and Pratiksha) and vegetables (e.g., sunflower, potato, onion, okra, and betel leaf). Brackish water aquaculture had also become popular here in spite of its socio-ecological detriments. Many farmers were found to use their traditional knowledge proficiently alongside modern methods. However, the pressure of local peers, lack of readily investable wealth, and appropriate technological expertise often weakened their adaptive capacity. The findings suggested that effective cropping strategies such as coupled mangrove-shrimp farming and cultivation of salinity as well as waterlogging tolerant crop varieties could be considered as viable strategies toward enhancing resilience.","PeriodicalId":36897,"journal":{"name":"Papers in Applied Geography","volume":"21 1","pages":"171 - 192"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86943577","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":"Morphometric Analysis toward Mapping Relative Tectonic Activity of Lebanon","authors":"Fabienne B. Youssef, J. Doumit","doi":"10.1080/23754931.2022.2159771","DOIUrl":"https://doi.org/10.1080/23754931.2022.2159771","url":null,"abstract":"Abstract The analysis of geomorphic indices, computed using a digital elevation model and a geographical information system, was carried out to look for signs of tectonic activity in the river basins of Lebanon. The tectonic activity analysis was conducted on the thirty-eight basins through two methods: (1) shape-based, which estimates topography (stream gradient, hypsometry integral, and valley floor), form (asymmetry factor and basin shape), and sinuosity indices (fractal dimension of drainage patterns and mountain front), and (2) terrain-based, which extracts terrain (stream power index, valley depth, flow width, and relief ratio), and surface fractal dimension complexity indices. The results obtained were combined to produce two Relative Active Tectonic Maps (RATMshape and RATMterrain). This study demonstrated that active tectonics matched well with the extracted geomorphic indices and allowed to define the relative tectonic activity in Lebanon: about 65% of the basins correspond to class 1 low; 28% to class 2 moderate; 5% to class 3 high; and 2% to class 4 very high. The east part of the Yammouneh fault and the entire Serghaya fault are moderate to highly active based on the relative tectonic activity analysis. The more active tectonic areas are concentrated in the north ends of Lebanon, while moderate tectonics are focused on the south ends. The entire Rachaya and Roum faults are low to moderately active. The northern part of the Lebanon mountain range, which sits west of the Yammouneh fault, has exceptionally high relative tectonic activity.","PeriodicalId":36897,"journal":{"name":"Papers in Applied Geography","volume":"196 1","pages":"214 - 229"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86724353","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":"Dollar Store Access in the St. Louis Metropolitan Area, MO-IL, USA","authors":"Stacey Brown-Amilian","doi":"10.1080/23754931.2022.2071128","DOIUrl":"https://doi.org/10.1080/23754931.2022.2071128","url":null,"abstract":"Abstract Most food accessibility research focus on stores that sell healthy food such as grocery stores compared with stores that sell unhealthy food such as fast-food retailers. These studies overlook the fastest growing retail segment in the United States, dollar stores. Although dollar stores might not be known for their food items, their ubiquitous nature in our retail environment forces many to use dollar stores as their primary and often closest food source. This study evaluated dollar store access in the St. Louis Metropolitan Statistical Area (MSA) based on count analysis and travel time along with demographic variables such as income and education. Results reveal that a majority of tracts in the St. Louis MSA do not have a dollar store, yet over half the residents of the MSA live within a five-minute drive of a dollar store. Rural residents live the farthest from a dollar store, with one population-weighted tract centroid traveling over twenty minutes to a dollar store. Demographic results reveal that dollar stores tend to locate in places with lower incomes, lower levels of education, and more diverse residents. The growth of dollar stores across the United States allows for residents to have easier access to goods, but concern exists regarding the healthiness of the food products served in these stores. Future research will include health data to determine if these stores could be contributing to the obesity and diabetes epidemics in the United States.","PeriodicalId":36897,"journal":{"name":"Papers in Applied Geography","volume":"49 1","pages":"483 - 492"},"PeriodicalIF":0.0,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86641103","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}