Multivariate Spatial Modeling is a statistical modeling framework that extends univariate spatial analysis by simultaneously accounting for multiple correlated variables across geographic space, thereby capturing their joint spatial dependence structures.
339
Publications
25.4K
Citations
829
Authors
452
Institutions
Publications per year
2017–2026
94
Parents
Publications
339
1–5 of 339
Authors
829
- SB
13
h-index
- MF
8
h-index
- AE
8
h-index
- BJ
7
h-index
- MGMarc G. Genton
King Abdullah University of Science and Technology, Saudi Arabia
6 publications · 517 citations
6
h-index
1–5 of 829
Institutions
452
University of Minnesota
Minneapolis, United States
15 h-index
29 publications
3.5K citations
North Carolina State University
Raleigh, United States
10 h-index
25 publications
731 citations
Duke University
Durham, United States
8 h-index
13 publications
2.6K citations
Texas A&M University
College Station, United States
7 h-index
11 publications
911 citations
Centre National de la Recherche Scientifique
Paris, France
6 h-index
9 publications
750 citations
King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
5 h-index
12 publications
491 citations
Rothamsted Research
Harpenden, United Kingdom
5 h-index
6 publications
343 citations
The Ohio State University
Columbus, United States
5 h-index
8 publications
1.2K citations
1–8 of 452
Venues
- Geographical Analysis
15 publications · 1.1K citations
12
h-index
- Environmetrics
11 publications · 539 citations
11
h-index
- Computational Statistics & Data Analysis
CSDA · 8 publications · 372 citations
8
h-index
- Biometrics
6 publications · 469 citations
6
h-index
- Journal of Multivariate Analysis
6 publications · 347 citations
6
h-index
1–5