Geostatistical Surface Modeling

Geostatistical Surface Modeling is a surface modeling method that employs geostatistical techniques to interpolate and predict spatial phenomena by quantifying spatial autocorrelation and uncertainty in terrain data.

25

Publications

1.4K

Citations

58

Authors

37

Institutions

Publications per year

2017–2026

5

Authors

58

  1. TD
    Trinadh Dontamsetti

    University of Oxford, United Kingdom

    1 publications · 22 citations

    2

    h-index

  2. PW
    Peter W. Gething

    University of Oxford, United Kingdom

    1 publications · 22 citations

    2

    h-index

  3. CR
    Clara R. Burgert‐Brucker

    ICF International (United States), United States

    1 publications · 22 citations

    2

    h-index

  4. JL
    John L. Wilson

    Swinburne University of Technology, Australia

    1 publications · 114 citations

    1

    h-index

  5. HF
    Hilde Fagerli

    Norwegian Meteorological Institute, Norway

    1 publications · 20 citations

    1

    h-index

1–5 of 58

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 2 publications · 47 citations

    2

    h-index

  2. Annals of Glaciology

    1 publications · 17 citations

    1

    h-index

  3. Natural Resources Research

    NRR · 1 publications · 59 citations

    1

    h-index

  4. 1

    h-index

  5. Engineering Geology

    1 publications · 35 citations

    1

    h-index

1–5