Spatially Explicit Simulation is a computational modeling approach in population genetics that incorporates geographic space as an integral component of the simulation framework, thereby enabling the representation of gene flow, genetic drift, and selection processes as they vary across continuous or discrete landscapes.
231
Publications
15.7K
Citations
733
Authors
388
Institutions
Publications per year
2017–2026
53
Parents
Publications
231
Spurious correlations and inference in landscape genetics
Samuel A. Cushman, Erin L. Landguth · Molecular Ecology · 2010 · 338 citations
Natural Resources, Ecology, Genetics +17
1–5 of 231
Authors
733
- EL
7
h-index
- FG
6
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- FJ
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4
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- LE
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1–5 of 733
Institutions
388
Helmholtz Centre for Environmental Research
Leipzig, Germany
12 h-index
22 publications
778 citations
Centre National de la Recherche Scientifique
Paris, France
9 h-index
24 publications
1.3K citations
University of Montana
Missoula, United States
9 h-index
12 publications
976 citations
Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
7 h-index
10 publications
259 citations
North Carolina State University
Raleigh, United States
7 h-index
20 publications
1.5K citations
Rocky Mountain Research (United States)
Salt Lake City, United States
7 h-index
9 publications
992 citations
Wageningen University & Research
Wageningen, The Netherlands
6 h-index
12 publications
473 citations
Rocky Mountain Research Station
Fort Collins, United States
6 h-index
8 publications
973 citations
1–8 of 388
Venues
- Ecological Modelling
13 publications · 666 citations
12
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- Ecology
12 publications · 1.7K citations
12
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- PLoS ONE
11 publications · 435 citations
11
h-index
- Ecological Applications
8 publications · 723 citations
8
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- Oikos
7 publications · 328 citations
7
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