Hot Spot Analysis
Hot Spot Analysis is a spatial data analysis technique that identifies statistically significant clusters of high or low values in geographic phenomena, distinguishing itself from other spatial methods by focusing on the detection of localized areas of elevated incidence or intensity.
801
Publications
52.8K
Citations
2.6K
Authors
1.1K
Institutions
Publications per year
2017–2026
328
Variants
Hot Spots Analysis
801
Local Indicators of Spatial Association—LISA
Luc Anselin · Geographical Analysis · 1995 · 12.5K citations · Full text
Computing, Geography, Geoinformatics +13
1–5 of 801
2.6K
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1.1K
IPB University
Bogor, Indonesia
12 h-index
41 publications
998 citations

Chinese Academy of Sciences
Beijing, China
11 h-index
33 publications
1.2K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
10 h-index
34 publications
1.5K citations
Fudan University
Shanghai, China
10 h-index
20 publications
645 citations
University of Maryland, College Park
College Park, United States
10 h-index
19 publications
574 citations
Arizona State University
Tempe, United States
8 h-index
8 publications
15.2K citations

University of Minnesota
Minneapolis, United States
8 h-index
28 publications
4.1K citations

Central South University
Changsha, China
8 h-index
16 publications
853 citations
1–8 of 1.1K
17 publications · 2.1K citations
15
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IJGI · 15 publications · 743 citations
12
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TRR · 10 publications · 741 citations
10
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9 publications · 287 citations
9
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8 publications · 432 citations
8
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1–5