Geostatistical Random Fields

Geostatistical Random Fields is a spatial random field characterized by statistically interpolated spatial dependence structures, typically modeled through variograms or covariance functions to enable optimal prediction at unsampled locations.

89

Publications

5.4K

Citations

206

Authors

118

Institutions

Publications per year

2017–2026

28

Authors

206

  1. SP
    Shlomo P. Neuman

    University of Arizona, United States

    4 publications · 117 citations

    4

    h-index

  2. AG
    Alberto Guadagnini

    Politecnico di Milano, Italy

    3 publications · 66 citations

    3

    h-index

  3. NW
    Neil Wrigley

    University of Southampton, United Kingdom

    3 publications · 565 citations

    3

    h-index

  4. MR
    Mònica Riva

    Politecnico di Milano, Italy

    3 publications · 66 citations

    3

    h-index

  5. DA
    Denis Allard

    Biostatistique et processus spatiaux, France

    2 publications · 88 citations

    2

    h-index

1–5 of 206

Venues

  1. 9

    h-index

  2. Computers & Geosciences

    CAGEO · 7 publications · 315 citations

    7

    h-index

  3. Mathematical Geology

    6 publications · 287 citations

    6

    h-index

  4. Water Resources Research

    6 publications · 289 citations

    5

    h-index

  5. Mathematical Geosciences

    4 publications · 233 citations

    4

    h-index

1–5