Spatial-temporal Point Process Modeling
Spatial-Temporal Point Process Modeling is a statistical modeling framework that belongs to the class of point process models and is distinguished by its explicit incorporation of both spatial and temporal dimensions to characterize the intensity and distribution of discrete events occurring over space and time.
64
Publications
6.7K
Citations
141
Authors
95
Institutions
Publications per year
2017–2026
12
Parents
64
1–5 of 64
141
University of California, Los Angeles, United States
6 publications · 251 citations
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5
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4
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3
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3
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1–5 of 141
95
University of California, Los Angeles
Los Angeles, United States
7 h-index
10 publications
392 citations
Lancaster University
Lancaster, United Kingdom
5 h-index
8 publications
1.3K citations

Imperial College London
London, United Kingdom
3 h-index
6 publications
2.6K citations

Université d'Avignon et des Pays de Vaucluse
Avignon, France
3 h-index
3 publications
256 citations

University of Palermo
Palermo, Italy
3 h-index
7 publications
118 citations
Aalborg University
Aalborg, Denmark
3 h-index
5 publications
196 citations
Iowa State University
Ames, United States
3 h-index
4 publications
118 citations

Universitat Jaume I
Castellon, Spain
3 h-index
4 publications
100 citations
1–8 of 95
4 publications · 118 citations
4
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AOAS · 3 publications · 76 citations
3
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3 publications · 194 citations
3
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3 publications · 127 citations
3
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2 publications · 160 citations
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1–5