Spatial Generalized Linear Models
Spatial Generalized Linear Models is a statistical modeling framework that extends generalized linear models to account for spatial dependence in data by incorporating spatially correlated random effects or spatial covariance structures within the linear predictor.
226
Publications
21.8K
Citations
763
Authors
433
Institutions
Publications per year
2017–2026
50
Variants
Spatial Glms
Parents
226
Statistics for Spatial Data, Revised Edition.
Noel Cressie · Biometrics · 1994 · 1.9K citations
Computing, Geography, Geoinformatics +12
1–5 of 226
763
5
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 763
433

Pennsylvania State University
State College, United States
5 h-index
5 publications
490 citations

University of Minnesota
Minneapolis, United States
5 h-index
5 publications
1.6K citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
10 publications
1K citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
5 h-index
9 publications
716 citations

University of Leeds
Leeds, United Kingdom
5 h-index
7 publications
539 citations
Centre d'Écologie Fonctionnelle et Évolutive
Montpellier, France
4 h-index
10 publications
1.8K citations
University of Michigan
Ann Arbor, United States
4 h-index
8 publications
244 citations

The University of Melbourne
Melbourne, Australia
4 h-index
8 publications
1.2K citations
1–8 of 433
10 publications · 253 citations
10
h-index
9 publications · 2.5K citations
9
h-index
JCGS · 9 publications · 415 citations
9
h-index
7 publications · 590 citations
7
h-index
6 publications · 622 citations
6
h-index
1–5