Local Spatial Autocorrelation
Local Spatial Autocorrelation is a spatial statistical method that identifies localized patterns of clustering or dispersion by measuring the degree of similarity between a variable's values at a specific location and those in its neighboring locations, thereby distinguishing local departures from global spatial randomness within the broader class of spatial autocorrelation techniques.
639
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44.2K
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2.1K
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2017–2026
271
639
<i><b>GeoDa</b></i>: An Introduction to Spatial Data Analysis
Luc Anselin, Ibnu Syabri, Youngihn Kho · Geographical Analysis · 2005 · 2.5K citations
Computing, Geography, Visualization +17
Where is positional uncertainty a problem for species distribution modelling?
Babak Naimi, Nicholas Hamm, T.A. Groen et al. · Ecography · 2013 · 1.9K citations
Computing, Ecology, Spatial Modeling +15
Comparing implementations of global and local indicators of spatial association
Roger Bivand, David W. S. Wong · Test · 2018 · 1.1K citations · Full text
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Chinese Academy of Sciences
Beijing, China
14 h-index
50 publications
1.4K citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
13 h-index
34 publications
843 citations
University of Chinese Academy of Sciences
Beijing, China
12 h-index
25 publications
695 citations
Wuhan University
Wuhan, China
12 h-index
34 publications
1.1K citations
Stony Brook University
Stony Brook, United States
10 h-index
15 publications
1.8K citations
Michigan State University
East Lansing, United States
9 h-index
20 publications
1.5K citations
State University of New York
Albany, United States
9 h-index
14 publications
1.7K citations

Peking University
Beijing, China
9 h-index
21 publications
732 citations
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23 publications · 8.1K citations
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26 publications · 947 citations
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21 publications · 868 citations
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18 publications · 571 citations
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12 publications · 661 citations
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