Spatial Pattern Detection
Spatial Pattern Detection is a methodological framework within geospatial data analysis that identifies non-random spatial configurations, such as clusters, outliers, or gradients, by statistically distinguishing them from background spatial distributions.
213
Publications
12.9K
Citations
552
Authors
273
Institutions
Publications per year
2017–2026
46
213
P.C. Teo, David J. Heeger · 2002 · 475 citations
Spatial Analysis by Distance Indices
J. N. Perry · Journal of Animal Ecology · 1995 · 364 citations
1–5 of 213
552
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h-index
7
h-index
6
h-index
University of North Carolina at Charlotte, United States
5 publications · 357 citations
5
h-index
5
h-index
1–5 of 552
273

Central South University
Changsha, China
9 h-index
40 publications
1.2K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
7 h-index
9 publications
531 citations

University of Alberta
Edmonton, Canada
6 h-index
12 publications
691 citations

University of Minnesota
Minneapolis, United States
6 h-index
20 publications
1.8K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
17 publications
619 citations
University of Michigan
Ann Arbor, United States
5 h-index
7 publications
544 citations
University of Wisconsin–Madison
Madison, United States
5 h-index
8 publications
460 citations
Wuhan University
Wuhan, China
5 h-index
5 publications
110 citations
1–8 of 273
15 publications · 1.1K citations
15
h-index
9 publications · 594 citations
9
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7 publications · 440 citations
7
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4 publications · 82 citations
4
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TKDE · 4 publications · 656 citations
4
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1–5