{"title":"The Past, Present and Future of Geodemographic Research in the United States and United Kingdom.","authors":"Alexander D Singleton, Seth E Spielman","doi":"10.1080/00330124.2013.8487642345","DOIUrl":"https://doi.org/10.1080/00330124.2013.8487642345","url":null,"abstract":"<p><p>This article presents an extensive comparative review of the emergence and application of geodemographics in both the United States and United Kingdom, situating them as an extension of earlier empirically driven models of urban socio-spatial structure. The empirical and theoretical basis for this generalization technique is also considered. Findings demonstrate critical differences in both the application and development of geodemographics between the United States and United Kingdom resulting from their diverging histories, variable data economies, and availability of academic or free classifications. Finally, current methodological research is reviewed, linking this discussion prospectively to the changing spatial data economy in both the United States and United Kingdom.</p>","PeriodicalId":48098,"journal":{"name":"Professional Geographer","volume":"66 4","pages":"558-567"},"PeriodicalIF":1.8,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4254823/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32890175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interpolating U.S. Decennial Census Tract Data from as Early as 1970 to 2010: A Longtitudinal Tract Database.","authors":"John R Logan, Zengwang Xu, Brian Stults","doi":"10.1080/00330124.2014.905156","DOIUrl":"https://doi.org/10.1080/00330124.2014.905156","url":null,"abstract":"<p><p>Differences in the reporting units of data from diverse sources and changes in units over time are common obstacles to analysis of areal data. We compare common approaches to this problem in the context of changes over time in the boundaries of U.S. census tracts. In every decennial census many tracts are split, consolidated, or changed in other ways from the previous boundaries to reflect population growth or decline. We examine two interpolation methods to create a bridge between years, one that relies only on areal weighting and another that also introduces population weights. Results demonstrate that these approaches produce substantially different estimates for variables that involve population counts, but they have a high degree of convergence for variables defined as rates or averages. Finally the paper describes the Longitudinal Tract Data Base (LTDB), through which we are making available public-use tools to implement these methods to create estimates within 2010 tract boundaries for any tract-level data (from the census or other sources) that are available for prior years as early as 1970.</p>","PeriodicalId":48098,"journal":{"name":"Professional Geographer","volume":"66 3","pages":"412-420"},"PeriodicalIF":1.8,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/00330124.2014.905156","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32599349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Douglas A Stow, John R Weeks, Sory Toure, Lloyd L Coulter, Christopher D Lippitt, Eric Ashcroft
{"title":"Urban Vegetation Cover and Vegetation Change in Accra, Ghana: Connection to Housing Quality.","authors":"Douglas A Stow, John R Weeks, Sory Toure, Lloyd L Coulter, Christopher D Lippitt, Eric Ashcroft","doi":"10.1080/00330124.2012.697856","DOIUrl":"https://doi.org/10.1080/00330124.2012.697856","url":null,"abstract":"<p><p>The objectives are to (1) quantify, map, and analyze vegetation cover distributions and changes across Accra, Ghana, for 2002 and 2010; and (2) examine the statistical relationship between vegetation cover and a housing quality index (HQI) for 2000 at the neighborhood level. Pixel-level vegetation cover maps derived using threshold classification of 2002 and 2010 QuickBird normalized difference vegetation index images have very high overall accuracies and yield an estimate of 5.9 percent vegetation cover reduction over the study area between 2002 and 2010. A high degree of variance in vegetation cover for individual dates is explained by HQI at the neighborhood level, although minimal covariability between absolute or relative vegetation cover change and HQI for 2000 was observed.</p>","PeriodicalId":48098,"journal":{"name":"Professional Geographer","volume":"65 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/00330124.2012.697856","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31918070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling spatial accessibility of immigrants to culturally diverse family physicians.","authors":"Lu Wanga, Deborah Roisman","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This article uses accessibility as an analytical tool to examine health care access among immigrants in a multicultural urban setting. It applies and improves on two widely used accessibility models—the gravity model and the two-step floating catchment area model—in measuring spatial accessibility by Mainland Chinese immigrants in the Toronto Census Metropolitan Area. Empirical data on physician-seeking behaviors are collected through two rounds of questionnaire surveys. Attention is focused on journey to physician location and utilization of linguistically matched family physicians. Based on the survey data, a two-zone accessibility model is developed by relaxing the travel threshold and distance impedance parameters that are traditionally treated as a constant in the accessibility models. General linear models are used to identify relationships among spatial accessibility, geography, and socioeconomic characteristics of Mainland Chinese immigrants. The results suggest a spatial mismatch in the supply of and demand for culturally sensitive care, and residential location is the primary factor that determines spatial accessibility to family physicians. The article yields important policy implications.</p>","PeriodicalId":48098,"journal":{"name":"Professional Geographer","volume":"63 1","pages":"73-91"},"PeriodicalIF":1.8,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29811347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Visualizing diurnal population change in urban areas for emergency management.","authors":"Tetsuo Kobayashi, Richard M Medina, Thomas J Cova","doi":"10.1080/00330124.2010.533565","DOIUrl":"https://doi.org/10.1080/00330124.2010.533565","url":null,"abstract":"<p><p>There is an increasing need for a quick, simple method to represent diurnal population change in metropolitan areas for effective emergency management and risk analysis. Many geographic studies rely on decennial U.S. Census data that assume that urban populations are static in space and time. This has obvious limitations in the context of dynamic geographic problems. The U.S. Department of Transportation publishes population data at the transportation analysis zone level in fifteen-minute increments. This level of spatial and temporal detail allows for improved dynamic population modeling. This article presents a methodology for visualizing and analyzing diurnal population change for metropolitan areas based on this readily available data. Areal interpolation within a geographic information system is used to create twenty-four (one per hour) population surfaces for the larger metropolitan area of Salt Lake County, Utah. The resulting surfaces represent diurnal population change for an average workday and are easily combined to produce an animation that illustrates population dynamics throughout the day. A case study of using the method to visualize population distributions in an emergency management context is provided using two scenarios: a chemical release and a dirty bomb in Salt Lake County. This methodology can be used to address a wide variety of problems in emergency management.</p>","PeriodicalId":48098,"journal":{"name":"Professional Geographer","volume":"63 1","pages":"113-30"},"PeriodicalIF":1.8,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/00330124.2010.533565","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29813910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Professional GeographerPub Date : 2007-11-01Epub Date: 2008-02-29DOI: 10.1111/j.1467-9272.2007.00636.x
Joseph R Oppong, Curtis J Denton, Patrick K Moonan, Stephen E Weis
{"title":"Foreign-Born Status and Geographic Patterns of Tuberculosis Genotypes in Tarrant County, Texas.","authors":"Joseph R Oppong, Curtis J Denton, Patrick K Moonan, Stephen E Weis","doi":"10.1111/j.1467-9272.2007.00636.x","DOIUrl":"10.1111/j.1467-9272.2007.00636.x","url":null,"abstract":"<p><p>Regardless of destination, immigrants arrive with health profiles typical of people in their previous surroundings. Thus, immigrants change the epidemiological profile of destination communities, and immigrant neighborhoods may represent islands of infectious disease. Genotyping has emerged as a useful surveillance tool to track the spread of disease at the molecular level. Yet the spatial distribution of infectious disease at the molecular level associated with migration and immigrant neighborhoods has received little attention. Using molecular genotyping to characterize <i>M. tuberculosis</i> isolated from tuberculosis cases, this article analyzes spatial variations of unique molecular <i>M. tuberculosis</i> strains by zip code in Tarrant County, Texas. The results suggest that immigrant neighborhoods have higher rates of unique isolates of tuberculosis (suggestive of remote transmission) compared to neighborhoods occupied by the native-born. Neighborhoods dominated by the native-born have higher rates of clustered isolates (suggestive of recent transmission). Therefore, in addition to being culturally distinct, immigrant neighborhoods may also be pathogenically distinct from surrounding neighborhoods.</p>","PeriodicalId":48098,"journal":{"name":"Professional Geographer","volume":"59 4","pages":"478-491"},"PeriodicalIF":1.5,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4618290/pdf/nihms729455.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34120481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}