Spatial Covariance Modeling

Spatial Covariance Modeling is a statistical framework within spatial statistics that specifies the mathematical structure describing how the covariance between random variables varies as a function of their relative spatial locations.

402

Publications

39.5K

Citations

764

Authors

439

Institutions

Publications per year

2017–2026

65

Authors

764

  1. MG
    Marc G. Genton

    King Abdullah University of Science and Technology, Saudi Arabia

    12 publications · 768 citations

    11

    h-index

  2. EP
    Emilio Porcu

    Federico Santa María Technical University, Chile

    9 publications · 408 citations

    9

    h-index

  3. NC
    Noel Cressie

    Iowa State University, United States

    9 publications · 1.4K citations

    9

    h-index

  4. PG
    Peter Guttorp

    University of Washington, United States

    8 publications · 1.2K citations

    8

    h-index

  5. EP
    Eulogio Pardo‐Igúzquiza

    Instituto Geológico y Minero de España, Spain

    7 publications · 214 citations

    7

    h-index

1–5 of 764

Venues

  1. Journal of the American Statistical Association

    23 publications · 7.2K citations

    20

    h-index

  2. Environmetrics

    18 publications · 1.2K citations

    16

    h-index

  3. 11

    h-index

  4. Mathematical Geology

    11 publications · 597 citations

    10

    h-index

  5. Biometrika

    10 publications · 1.3K citations

    10

    h-index

1–5