Spatial Process Modeling

Spatial Process Modeling is a spatial modeling approach that focuses on representing and analyzing dynamic, continuous, or evolving spatial phenomena by characterizing the underlying mechanisms, interactions, and temporal-spatial dependencies that generate observed patterns across geographic space and time.

516

Publications

50.3K

Citations

973

Authors

492

Institutions

Publications per year

2017–2026

81

Authors

973

  1. SB
    Sudipto Banerjee

    University of Minnesota, United States

    22 publications · 3.7K citations

    21

    h-index

  2. AE
    Alan E. Gelfand

    Duke University, United States

    20 publications · 3.8K citations

    19

    h-index

  3. PJ
    Peter J. Diggle

    Lancaster University, United Kingdom

    14 publications · 1.6K citations

    13

    h-index

  4. NC
    Noel Cressie

    Iowa State University, United States

    11 publications · 514 citations

    10

    h-index

  5. AO
    Andrew O. Finley

    Michigan State University, United States

    10 publications · 2.4K citations

    10

    h-index

1–5 of 973

Venues

  1. Journal of the American Statistical Association

    17 publications · 2.5K citations

    16

    h-index

  2. 14

    h-index

  3. Ecological Modelling

    14 publications · 2.8K citations

    13

    h-index

  4. 13

    h-index

  5. Biometrics

    13 publications · 1.4K citations

    12

    h-index

1–5