Spatial Impact Modeling
Spatial Impact Modeling is a predictive modeling framework that integrates geographic and environmental data to assess the location-specific effects of human activities or natural events on ecosystems, infrastructure, or societal systems, distinguished by its explicit consideration of spatial heterogeneity and spatial dependencies in impact assessment.
192
Publications
9.9K
Citations
709
Authors
363
Institutions
Publications per year
2017–2026
99
Parents
192
1–5 of 192
709
3
h-index
University of California, Santa Barbara, United States
3 publications · 391 citations
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 709
363
Michigan State University
East Lansing, United States
6 h-index
12 publications
668 citations
Technical University of Denmark
Kongens Lyngby, Denmark
5 h-index
8 publications
2.1K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
12 publications
268 citations
University of California, Santa Barbara
Santa Barbara, United States
4 h-index
4 publications
530 citations

Adam Mickiewicz University in Poznań
Poznan, Poland
3 h-index
3 publications
52 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
117 citations
Wuhan University
Wuhan, China
3 h-index
5 publications
254 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
3 h-index
4 publications
256 citations
1–8 of 363
6 publications · 135 citations
6
h-index
5 publications · 334 citations
5
h-index
LCA · 4 publications · 852 citations
4
h-index
5 publications · 141 citations
4
h-index
3 publications · 84 citations
3
h-index
1–5