An Introduction to Spatial Analysis in Social Science Research

For years researchers have recognized the need to consider environmental and contextual variables in the social and behavioral sciences. Multilevel models have grown in popularity in large part because they provide a means to explicitly model the influence of context on many individual level...

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Main Authors: Yanqing Xu, Eugene Kennedy
Format: Article
Language:English
Published: Université d'Ottawa 2015-02-01
Series:Tutorials in Quantitative Methods for Psychology
Subjects:
SAS
Online Access:http://www.tqmp.org/RegularArticles/vol11-1/p022/p022.pdf
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spelling doaj-571b8abf375d4e059682324f8fae0c6d2020-11-25T00:36:56ZengUniversité d'OttawaTutorials in Quantitative Methods for Psychology1913-41262015-02-011112231An Introduction to Spatial Analysis in Social Science ResearchYanqing Xu0Eugene Kennedy1Louisiana State UniversityLouisiana State University For years researchers have recognized the need to consider environmental and contextual variables in the social and behavioral sciences. Multilevel models have grown in popularity in large part because they provide a means to explicitly model the influence of context on many individual level processes. However, in applications of these and other statistical models that incorporate context into the analysis, rarely is physical location or distance between entities considered. In this paper we discuss a variety of spatial analysis techniques and their applications in educational and psychological research. We provide examples with the SAS software package and other more specialized spatial analysis software. http://www.tqmp.org/RegularArticles/vol11-1/p022/p022.pdfSpatial RegressionGeographically Weighted RegressionSpatial Lag ModelSpatial ClusteringSAS
collection DOAJ
language English
format Article
sources DOAJ
author Yanqing Xu
Eugene Kennedy
spellingShingle Yanqing Xu
Eugene Kennedy
An Introduction to Spatial Analysis in Social Science Research
Tutorials in Quantitative Methods for Psychology
Spatial Regression
Geographically Weighted Regression
Spatial Lag Model
Spatial Clustering
SAS
author_facet Yanqing Xu
Eugene Kennedy
author_sort Yanqing Xu
title An Introduction to Spatial Analysis in Social Science Research
title_short An Introduction to Spatial Analysis in Social Science Research
title_full An Introduction to Spatial Analysis in Social Science Research
title_fullStr An Introduction to Spatial Analysis in Social Science Research
title_full_unstemmed An Introduction to Spatial Analysis in Social Science Research
title_sort introduction to spatial analysis in social science research
publisher Université d'Ottawa
series Tutorials in Quantitative Methods for Psychology
issn 1913-4126
publishDate 2015-02-01
description For years researchers have recognized the need to consider environmental and contextual variables in the social and behavioral sciences. Multilevel models have grown in popularity in large part because they provide a means to explicitly model the influence of context on many individual level processes. However, in applications of these and other statistical models that incorporate context into the analysis, rarely is physical location or distance between entities considered. In this paper we discuss a variety of spatial analysis techniques and their applications in educational and psychological research. We provide examples with the SAS software package and other more specialized spatial analysis software.
topic Spatial Regression
Geographically Weighted Regression
Spatial Lag Model
Spatial Clustering
SAS
url http://www.tqmp.org/RegularArticles/vol11-1/p022/p022.pdf
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