Variogram Analysis
Variogram Analysis is a geostatistical method that characterizes spatial dependence by quantifying the degree of variability between pairs of observations as a function of their separation distance, distinguishing itself from other spatial analysis techniques through its explicit modeling of spatial autocorrelation structure in random fields.
429
Publications
32.6K
Citations
1.1K
Authors
528
Institutions
Publications per year
2017–2026
65
429
Introduction to Statistical Analysis.
V. V. Latshaw, W. J. Dixon, Frank J. Massey · American Mathematical Monthly · 1957 · 5.1K citations
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
1–5 of 429
1.1K
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6
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6
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528
University of Arizona
Tucson, United States
14 h-index
22 publications
2.1K citations
Iowa State University
Ames, United States
9 h-index
13 publications
609 citations
University of Reading
Reading, United Kingdom
7 h-index
7 publications
375 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
23 publications
569 citations
Colorado State University
Fort Collins, United States
7 h-index
10 publications
1.1K citations
Stanford University
Stanford, United States
6 h-index
9 publications
2.9K citations
Global Institute for Water Security
Saskatoon, Canada
6 h-index
13 publications
1.1K citations

University of Saskatchewan
Saskatoon, Canada
6 h-index
13 publications
1.1K citations
1–8 of 528
24 publications · 2.4K citations
21
h-index
26 publications · 1.3K citations
19
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CAGEO · 12 publications · 585 citations
12
h-index
12 publications · 535 citations
11
h-index
9 publications · 267 citations
9
h-index
1–5