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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Université d'Ottawa
2015-02-01
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Series: | Tutorials in Quantitative Methods for Psychology |
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Online Access: | http://www.tqmp.org/RegularArticles/vol11-1/p022/p022.pdf |
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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.
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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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