Kernel Hot Spot Mapping
Kernel Hot Spot Mapping is a spatial analysis technique that identifies statistically significant clusters of high or low values in geographic data by applying kernel density estimation to generate a continuous surface of intensity variation.
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2017–2026
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Detecting spatial hot spots in landscape ecology
Trisalyn Nelson, Barry Boots · Ecography · 2008 · 220 citations
Nenad Milić, Brankica Popović, Saša Mijalković et al. · Jakov (University of Criminalistic and Police Studies, Belgrade, Serbia) · 2019 · 17 citations · Full text
Evaluation of Hot-Spots Identification Using Kernel Density estimation and Getis-ord on I-630
Uday R R Manepalli, Ghulam H. Bham, Srinadh Kandada · 3rd International Conference on Road Safety and SimulationPurdue UniversityTransportation Research Board · 2011 · 13 citations
Computing, Geography, Geoinformatics +17
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Wilfrid Laurier University
Waterloo, Canada
1 h-index
1 publications
220 citations
The University of Tokyo
Tokyo, Japan
1 h-index
2 publications
908 citations
Tokyo University of Science
Tokyo, Japan
1 h-index
1 publications
454 citations

Universidade Federal do Ceará
Fortaleza, Brazil
1 h-index
3 publications
75 citations

University of Victoria
Victoria, Canada
1 h-index
1 publications
220 citations
Nuclear Science and Technology Research Institute
Tehran, Iran
1 publications
10 citations
Agricultural Sciences and Natural Resources University of Khuzestan
Mollās̄ānī, Iran
1 publications
10 citations

Universiti Sains Malaysia
George Town, Malaysia
1 publications
10 citations
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Repository · 1 publications · 17 citations
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1 publications · 454 citations
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1 publications · 220 citations
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Conference · 1 publications · 13 citations
1 publications · 10 citations
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