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Spatial Regression Models

Bibliographic Data

ID23399462
AuthorsMichael D Ward (0000-0002-6561-6186), Michael Ward (0000-0001-5962-641X), Kristian Skrede Gleditsch (0000-0003-4149-3211), Kristian Gleditsch
Year2008
Pages99
Publication date2008-01-01
Open AccessNo
TypeBOOK
VenueSpatial Regression Models (SOURCE_BOOK)
PublisherSAGE Publications, Inc. (PUBLISHER)
DOI10.4135/9781412985888
OpenAlexW4299426141
Open LibraryOL51665127M
ISBN9781412985888
LanguageEN
Citations received169

Spatial Regression Models illustrates the use of spatial analysis in the social sciences. The text includes sections that cover different modeling-related topics: mapping and making projections; doing exploratory spatial data analysis; working with models which have lagged endogenous right-handed side variables; using spatial error correction models; employing conditionally autoregressive models; and dealing with over-time panels exhibiting spatial structures. Each of the modeling-based discussions includes separate delineations of how to proceed when dealing with main variables that are quantitative as well as qualitative. In each section, the authors employ prominent and diverse examples, introducing readers to key literature in the field. The examples are presented along with relevant data and programs written in the R, which illustrate exactly how to undertake the analyses described. The book ends with a chapter that covers techniques for presenting spatial information.

Regression · Regression analysis · Statistics · Computer Science · Land Use and Ecosystem Services · Mathematics · Probability & Statistics - General · Research · Research methods: general · Social Science · Sociology · Spatial analysis (statistics)

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Unique citing works169
Citations per year9,39
Citation span2008 - 2026 (19)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 137

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