Anisotropic Spatial Modeling

Anisotropic Spatial Modeling is a spatial statistical modeling approach that accounts for direction-dependent variation in spatial processes, distinguishing itself from isotropic models by explicitly incorporating directional heterogeneity in the spatial dependence structure.

50

Publications

1.7K

Citations

169

Authors

120

Institutions

Publications per year

2017–2026

14

Authors

169

  1. EP
    Emilio Porcu

    Federico Santa María Technical University, Chile

    3 publications · 100 citations

    3

    h-index

  2. AO
    Andrew O. Finley

    Michigan State University, United States

    3 publications · 277 citations

    3

    h-index

  3. PW
    Patrik Waldmann

    Swedish University of Agricultural Sciences, Sweden

    2 publications · 90 citations

    2

    h-index

  4. TE
    Tore Ericsson

    Uppsala University, Sweden

    2 publications · 90 citations

    2

    h-index

  5. PG
    Pablo Gregori

    Universitat Jaume I, Spain

    2 publications · 57 citations

    2

    h-index

1–5 of 169

Venues

  1. 3

    h-index

  2. Scientific Reports

    2 publications · 50 citations

    2

    h-index

  3. 2

    h-index

  4. Remote Sensing of Environment

    2 publications · 43 citations

    2

    h-index

  5. Computers & Geosciences

    CAGEO · 2 publications · 22 citations

    2

    h-index

1–5