Coregionalization is a geostatistical framework that models the joint spatial continuity of multiple interdependent variables by characterizing their covariance structures across space, distinguishing itself from univariate spatial models through the explicit integration of cross-variable spatial dependencies.
36
Publications
2.7K
Citations
63
Authors
41
Institutions
Publications per year
2017–2026
5
Parents
Publications
36
1–5 of 36
Authors
63
- GL
4
h-index
- PD
4
h-index
- BPBernard Pelletier
Institut de Recherche pour le Développement, New Caledonia
4 publications · 86 citations
4
h-index
- JW
4
h-index
- XE
3
h-index
1–5 of 63
Institutions
41
McGill University
Montreal, Canada
4 h-index
16 publications
344 citations
Stanford University
Stanford, United States
3 h-index
5 publications
452 citations
Duke University
Durham, United States
2 h-index
2 publications
488 citations
University of Chile
Santiago, Chile
2 h-index
2 publications
105 citations
UCLouvain
Louvain-la-Neuve, Belgium
2 h-index
2 publications
221 citations
Decision Sciences (United States)
Fort Walton Beach, United States
2 h-index
2 publications
488 citations
Polytechnique Montréal
Montreal, Canada
2 h-index
3 publications
229 citations
Universidade Federal do Rio de Janeiro
Rio de Janeiro, Brazil
2 h-index
2 publications
488 citations
1–8 of 41
Venues
- Mathematical Geology
7 publications · 853 citations
7
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- Computers & Geosciences
CAGEO · 6 publications · 185 citations
6
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- Environmetrics
2 publications · 159 citations
2
h-index
- Stochastic Environmental Research and Risk Assessment
2 publications · 46 citations
2
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- Environmental and Ecological Statistics
2 publications · 33 citations
2
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