文章基本信息

标题：A geographically-aware multilevel analysis on the association between atmospheric temperature and the “Emergency and transitional shelter population”
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作者：Carlos Siordia ; Curtis Smith ; Ernesto Castañeda-Tinoco 等
期刊名称：Human Geographies : Journal of Studies and Research in Human Geography
印刷版ISSN：1843-6587
电子版ISSN：2067-2284
出版年度：2014
卷号：8
期号：2
DOI：10.5719/hgeo.2014.82.5
出版社：University of Bucharest
摘要：Understanding the geographical distribution and correlates of special segments of the population has the potential for offering insight into human behavior. Our study examines the Emergency and Transitional Shelter Population (ETSP)—which includes what are commonly referred to as "homeless" people. We use 2010 data from two sources: United States (US) Census Bureau county-level ETSP estimates; and North America Land Data Assimilation System Phase 2 (NLDAS-2). We investigate the ecological correlates of ETSP concentration by using a geographically-aware multilevel linear model. The speci.c aim is to investigate if an how atmospheric temperature is related with ETSP concentration by county—after accounting for population density and percent non-Hispanic-White. We use ArcGIS. 10.1 to create a spatial weight matrix of the ten most proximal counties and use SAS. 9.3 to create an algorithm that estimates County Cluster Dyadic Averages (CCDAs). By nesting the 31,090 CCDAs over the 3,109 counties in the continental US, we .nd a positive and statistically signi.cant relationship between ETSP density and atmospheric temperature. Ecological studies should continue to explore the spatial heterogeneity of the ETSP
关键词：homeless; ETSP; multilevel; ecological; weather; spatial; mobile populations