Multivariate Spatial Covariance
Multivariate Spatial Covariance is a statistical framework that characterizes the joint spatial dependence structure among multiple correlated variables across geographic locations, distinguishing itself from univariate spatial covariance by modeling cross-variable and cross-location covariation simultaneously.
73
Publications
4.9K
Citations
196
Authors
116
Institutions
Publications per year
2017–2026
11
Parents
73
1–5 of 73
196
3 publications · 267 citations
3
h-index
King Abdullah University of Science and Technology, Saudi Arabia
3 publications · 248 citations
3
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2
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2
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Rutgers, The State University of New Jersey, United States
2 publications · 58 citations
2
h-index
1–5 of 196
116
Texas A&M University
College Station, United States
8 h-index
20 publications
1.4K citations

Sapienza University of Rome
Rome, Italy
4 h-index
4 publications
74 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
460 citations
Duke University
Durham, United States
2 h-index
2 publications
176 citations
Feinstein Institute for Medical Research
Manhasset, United States
2 h-index
8 publications
308 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
2 publications
58 citations
Center for Neurosciences
Tucson, United States
2 h-index
8 publications
308 citations
Northwell Health
New Hyde Park, United States
2 h-index
8 publications
308 citations
1–8 of 116
6 publications · 316 citations
6
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4 publications · 166 citations
4
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3 publications · 118 citations
3
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3 publications · 49 citations
3
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3 publications · 576 citations
3
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1–5