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

Authors

1.1K

  1. FJ
    Frank J. Massey

    University of California, Los Angeles, United States

    8 publications · 8.4K citations

    8

    h-index

  2. PM
    Peter M. Atkinson

    University of Southampton, United Kingdom

    7 publications · 393 citations

    7

    h-index

  3. NC
    Noel Cressie

    Iowa State University, United States

    6 publications · 331 citations

    6

    h-index

  4. SR
    Saman Razavi

    University of Saskatchewan, Canada

    6 publications · 602 citations

    6

    h-index

  5. MA
    Margaret A. Oliver

    University of Reading, United Kingdom

    6 publications · 409 citations

    6

    h-index

1–5 of 1.1K

Venues

  1. Water Resources Research

    24 publications · 2.4K citations

    21

    h-index

  2. Mathematical Geology

    26 publications · 1.3K citations

    19

    h-index

  3. Computers & Geosciences

    CAGEO · 12 publications · 585 citations

    12

    h-index

  4. International Journal of Remote Sensing

    12 publications · 535 citations

    11

    h-index

  5. Mathematical Geosciences

    9 publications · 267 citations

    9

    h-index

1–5