Spatial Point Process Modeling is a statistical framework for analyzing the distribution of points in space, distinguished by its focus on modeling the stochastic mechanisms governing the locations of events or objects within a continuous spatial domain.
316
Publications
25K
Citations
552
Authors
328
Institutions
Publications per year
2017–2026
41
Parents
Publications
316
Point process models for presence‐only analysis
Ian Renner, Jane Elith, Adrian Baddeley et al. · Methods in Ecology and Evolution · 2015 · 456 citations · Full text
1–5 of 316
Authors
552
- AB
17
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- JM
16
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- PJ
14
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- YG
12
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- RW
10
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1–5 of 552
Institutions
328
Aalborg University
Aalborg, Denmark
19 h-index
43 publications
4K citations
Lancaster University
Lancaster, United Kingdom
12 h-index
21 publications
2.9K citations
The University of Western Australia
Perth, Australia
12 h-index
18 publications
2K citations
Universitat Jaume I
Castellon, Spain
11 h-index
16 publications
451 citations
Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
9 h-index
14 publications
413 citations
University of California, Los Angeles
Los Angeles, United States
8 h-index
10 publications
445 citations
University of St Andrews
St Andrews, United Kingdom
7 h-index
10 publications
1.2K citations
Aarhus University
Aarhus, Denmark
7 h-index
11 publications
563 citations
1–8 of 328
Venues
- Biometrics
19 publications · 1.2K citations
14
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- Advances in Applied Probability
AAP · 13 publications · 697 citations
13
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- Journal of the Royal Statistical Society Series B (Statistical Methodology)
12 publications · 4K citations
12
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- Scandinavian Journal of Statistics
10 publications · 541 citations
10
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- Journal of the American Statistical Association
11 publications · 1.3K citations
10
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