Environmental Data Modeling is a computational and statistical framework that characterizes and predicts environmental phenomena by representing sensor-observed variables and their spatiotemporal relationships within a formalized structure.
235
Publications
13.3K
Citations
839
Authors
401
Institutions
Publications per year
2017–2026
71
Publications
235
Why environmental scientists are becoming Bayesians
James S. Clark · Ecology Letters · 2004 · 855 citations
1–5 of 235
Authors
839
- HR
3
h-index
- IS
3
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- WR
3
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- MS
3
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- BW
3
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1–5 of 839
Institutions
401
Chinese Academy of Sciences
Beijing, China
5 h-index
24 publications
579 citations
Wuhan University
Wuhan, China
5 h-index
15 publications
399 citations
University of Washington
Seattle, United States
5 h-index
5 publications
379 citations
University of Southampton
Southampton, United Kingdom
5 h-index
16 publications
744 citations
Vrije Universiteit Brussel
Brussels, Belgium
4 h-index
9 publications
318 citations
Sofia University "St. Kliment Ohridski"
Sofia, Bulgaria
4 h-index
5 publications
230 citations
Environmental Protection Agency
Washington, United States
4 h-index
5 publications
290 citations
Environment and Climate Change Canada
Ottawa, Canada
3 h-index
6 publications
380 citations
1–8 of 401
Venues
- Environmental Modelling & Software
21 publications · 1.6K citations
17
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- The Science of The Total Environment
9 publications · 954 citations
9
h-index
- Chemometrics and Intelligent Laboratory Systems
8 publications · 397 citations
8
h-index
- Ecological Modelling
6 publications · 1.2K citations
6
h-index
- Environmental Pollution
4 publications · 186 citations
4
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1–5