Co-kriging

Co-Kriging is a geostatistical interpolation method that enhances the estimation of a primary variable by incorporating secondary correlated variables through cross-variogram modeling, thereby improving spatial prediction accuracy in multifidelity terrain and reservoir modeling contexts.

200

Publications

11.2K

Citations

644

Authors

291

Institutions

Publications per year

2017–2026

68

Authors

644

  1. IC
    Ivo Couckuyt

    Ghent University, Belgium

    5 publications · 431 citations

    5

    h-index

  2. TD
    Tom Dhaene

    Ghent University, Belgium

    5 publications · 431 citations

    5

    h-index

  3. DE
    Donald E. Myers

    University of Arizona, United States

    4 publications · 758 citations

    4

    h-index

  4. LL
    Loïc Le Gratiet

    Laboratoire de Probabilités et Modèles Aléatoires, France

    3 publications · 402 citations

    3

    h-index

  5. QZ
    Qi Zhou

    Huazhong University of Science and Technology, China

    3 publications · 103 citations

    3

    h-index

1–5 of 644

Venues

  1. Soil Science Society of America Journal

    SSSAJ · 8 publications · 897 citations

    8

    h-index

  2. Mathematical Geology

    6 publications · 903 citations

    6

    h-index

  3. International Journal of Climatology

    5 publications · 184 citations

    5

    h-index

  4. Water Resources Research

    4 publications · 564 citations

    4

    h-index

  5. Geoderma

    3 publications · 450 citations

    3

    h-index

1–5