Spatio-temporal Density Estimation
Spatio-Temporal Density Estimation is a statistical inference method that models the intensity or distribution of events across jointly continuous spatial and temporal domains, distinguishing itself from purely spatial or temporal density estimation by incorporating both geographical location and time as integral dimensions of the underlying event-generating process.
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Publications
1.6K
Citations
127
Authors
65
Institutions
Publications per year
2017–2026
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Cornell University
Ithaca, United States
2 h-index
4 publications
116 citations

Central South University
Changsha, China
2 h-index
6 publications
141 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
2 publications
47 citations

The University of Sydney
Sydney, Australia
1 h-index
3 publications
54 citations
EURECOM
Valbonne, France
1 h-index
2 publications
50 citations
Institute of Remote Sensing and Digital Earth
Beijing, China
1 h-index
1 publications
33 citations

Universidad Carlos III de Madrid
Madrid, Spain
1 h-index
1 publications
140 citations
Géoazur
Sophia Antipolis, France
1 h-index
1 publications
21 citations
1–8 of 65
Repository · 3 publications · 34 citations
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1 publications · 12 citations
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1 publications · 28 citations
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1 publications · 169 citations
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TOIT · 1 publications · 18 citations
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