Kernel Intensity Estimation
Kernel Intensity Estimation is a nonparametric method in point pattern analysis that estimates the intensity function of a spatial point process by smoothing observed event locations using a kernel function centered at each point, thereby distinguishing it from parametric intensity models through its data-driven, local averaging approach.
24
Publications
1.9K
Citations
57
Authors
35
Institutions
Publications per year
2017–2026
5
Parents
24
1–5 of 24
57
3
h-index
2
h-index
2
h-index
Universidade Federal de Sergipe, Brazil
2 publications · 37 citations
2
h-index
Federal University of São João del-Rei, Brazil
2 publications · 101 citations
2
h-index
1–5 of 57
35
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
2 h-index
5 publications
272 citations
Centrum Wiskunde & Informatica
Amsterdam, The Netherlands
2 h-index
2 publications
106 citations

Federal University of São João del-Rei
São João del Rei, Brazil
2 h-index
2 publications
101 citations

Fundação Oswaldo Cruz
Rio de Janeiro, Brazil
2 h-index
5 publications
97 citations

Universitat Jaume I
Castellon, Spain
2 h-index
5 publications
185 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
1 h-index
2 publications
106 citations

Sorbonne Université
Paris, France
1 h-index
2 publications
122 citations
University of Tartu
Tartu, Estonia
1 h-index
1 publications
21 citations
1–8 of 35
2 publications · 44 citations
2
h-index
2 publications · 37 citations
2
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JCGS · 2 publications · 74 citations
2
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1 publications · 21 citations
1
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PMR · 1 publications · 70 citations
1
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1–5