Spatial Correlation Models
Spatial Correlation Models is a statistical framework that characterizes the degree and structure of spatial dependence among random variables in geostatistical reservoir modeling by specifying the functional form of the covariance or semivariogram as a function of distance and direction.
880
Publications
47.1K
Citations
2.6K
Authors
986
Institutions
Publications per year
2017–2026
343
Variants
Spatial Covariance ModelsSpatial Dependence Models
880
Geostatistical Tools for Modeling and Interpreting Ecological Spatial Dependence
Richard E. Rossi, D. J. Mulla, André G. Journel et al. · Ecological Monographs · 1992 · 1.2K citations
Computing, Biostatistics, Ecology +17
A statistical theory of spatial distribution models
Alan Wilson · Transportation Research · 1967 · 1.1K citations
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
Feng Li, Tian Cheng, Wangmeng Zuo et al. · 2018 · 879 citations
Geostatistical Reservoir Modeling
Technometrics · 2005 · 808 citations
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986

Chinese Academy of Sciences
Beijing, China
14 h-index
46 publications
1.7K citations
University of Chinese Academy of Sciences
Beijing, China
13 h-index
23 publications
951 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
10 h-index
21 publications
623 citations
The University of Texas at Austin
Austin, United States
9 h-index
17 publications
1.1K citations
Stanford University
Stanford, United States
9 h-index
16 publications
3.8K citations
Tsinghua University
Beijing, China
9 h-index
16 publications
676 citations
University of Washington
Seattle, United States
9 h-index
14 publications
1.2K citations
University College London
London, United Kingdom
9 h-index
20 publications
856 citations
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30 publications · 824 citations
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25 publications · 841 citations
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16 publications · 433 citations
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14 publications · 736 citations
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16 publications · 1.5K citations
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