Spatial Random Effects Models
Spatial Random Effects Models is a statistical modeling framework that belongs to the class of mixed-effects models, distinguished by its incorporation of spatially correlated random effects to account for unobserved geographical dependencies in data.
393
Publications
30.1K
Citations
936
Authors
502
Institutions
Publications per year
2017–2026
116
Variants
Spatial Random Effects Model
Parents
393
Statistics for Spatial Data, Revised Edition.
Noel Cressie · Biometrics · 1994 · 1.9K citations
Computing, Geography, Geoinformatics +12
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University of Minnesota
Minneapolis, United States
14 h-index
22 publications
3.5K citations
Duke University
Durham, United States
12 h-index
22 publications
2.4K citations
North Carolina State University
Raleigh, United States
11 h-index
16 publications
1.7K citations
The Ohio State University
Columbus, United States
10 h-index
16 publications
809 citations
University of Connecticut
Storrs, United States
10 h-index
18 publications
2.9K citations
The University of Texas at Dallas
Richardson, United States
9 h-index
11 publications
687 citations
Ludwig-Maximilians-Universität München
Munich, Germany
8 h-index
10 publications
830 citations

Universität Innsbruck
Innsbruck, Austria
8 h-index
8 publications
270 citations
1–8 of 502
13 publications · 3.2K citations
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12 publications · 2.6K citations
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9 publications · 257 citations
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Repository · 9 publications · 228 citations
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8 publications · 307 citations
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