Spatial Dependence Testing
Spatial Dependence Testing is a statistical methodology used in spatial analysis to determine whether the values of a variable at different locations are interdependent, distinguished by its focus on assessing the presence and structure of spatial autocorrelation in georeferenced data.
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27.2K
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598
Authors
385
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2017–2026
66
Variants
Spatial Autocorrelation Testing
Parents
296
Simple diagnostic tests for spatial dependence
Luc Anselin, Anil K. Bera, Raymond J.G.M. Florax et al. · Regional Science and Urban Economics · 1996 · 1.8K citations · Full text
Properties of Tests for Spatial Dependence in Linear Regression Models
Luc Anselin · Geographical Analysis · 1991 · 780 citations · Full text
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The Ohio State University
Columbus, United States
8 h-index
14 publications
1.9K citations
Syracuse University
Syracuse, United States
7 h-index
8 publications
1.3K citations
University of California, Santa Barbara
Santa Barbara, United States
7 h-index
8 publications
1.5K citations
Texas A&M University
College Station, United States
7 h-index
7 publications
233 citations
Arizona State University
Tempe, United States
6 h-index
17 publications
2.7K citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
7 publications
3K citations
Universidad de Zaragoza
Zaragoza, Spain
6 h-index
7 publications
273 citations

Universidad Politécnica de Cartagena
Cartagena, Spain
6 h-index
9 publications
366 citations
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17 publications · 3.6K citations
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12 publications · 776 citations
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Repository · 10 publications · 379 citations
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