Anisotropic Spatial Modeling
Anisotropic Spatial Modeling is a spatial statistical modeling approach that accounts for direction-dependent variation in spatial processes, distinguishing itself from isotropic models by explicitly incorporating directional heterogeneity in the spatial dependence structure.
50
Publications
1.7K
Citations
169
Authors
120
Institutions
Publications per year
2017–2026
14
50
1–5 of 50
169
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120

Universitat Jaume I
Castellon, Spain
2 h-index
6 publications
171 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
4 publications
98 citations

University of Minnesota
Minneapolis, United States
2 h-index
2 publications
90 citations
Michigan State University
East Lansing, United States
2 h-index
2 publications
218 citations
Forestry Research Institute of Sweden
Uppsala, Sweden
2 h-index
5 publications
267 citations

The University of Adelaide
Adelaide, Australia
2 h-index
4 publications
81 citations

McGill University
Montreal, Canada
2 h-index
2 publications
43 citations

University of Alberta
Edmonton, Canada
2 h-index
3 publications
64 citations
1–8 of 120
3 publications · 235 citations
3
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2 publications · 50 citations
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2 publications · 30 citations
2
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2 publications · 43 citations
2
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CAGEO · 2 publications · 22 citations
2
h-index
1–5