Multivariate Spatial Analysis
Multivariate Spatial Analysis is a spatial analysis methodology that integrates multiple interrelated variables to examine their joint spatial patterns, dependencies, and heterogeneities across geographic space, distinguishing it from univariate or bivariate spatial techniques by accounting for multidimensional spatial covariance structures.
922
Publications
53.1K
Citations
3.1K
Authors
1.3K
Institutions
Publications per year
2017–2026
227
Parents
922
1–5 of 922
3.1K
6
h-index
5
h-index
5 publications · 481 citations
5
h-index
5
h-index
4
h-index
1–5 of 3.1K
1.3K

Centre National de la Recherche Scientifique
Paris, France
17 h-index
39 publications
3K citations

Chinese Academy of Sciences
Beijing, China
10 h-index
23 publications
1.6K citations
North Carolina State University
Raleigh, United States
9 h-index
21 publications
650 citations
Arizona State University
Tempe, United States
8 h-index
11 publications
1K citations

Fundação Oswaldo Cruz
Rio de Janeiro, Brazil
8 h-index
30 publications
2.7K citations
University of Copenhagen
Copenhagen, Denmark
7 h-index
22 publications
1.2K citations
University of California, Berkeley
Berkeley, United States
7 h-index
8 publications
471 citations
Institut de Recherche pour le Développement
Marseille, France
7 h-index
15 publications
502 citations
1–8 of 1.3K
13 publications · 532 citations
12
h-index
13 publications · 1.1K citations
12
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10 publications · 350 citations
10
h-index
9 publications · 351 citations
9
h-index
8 publications · 952 citations
8
h-index
1–5