Spatial Generalized Linear Models

Spatial Generalized Linear Models is a statistical modeling framework that extends generalized linear models to account for spatial dependence in data by incorporating spatially correlated random effects or spatial covariance structures within the linear predictor.

226

Publications

21.8K

Citations

763

Authors

433

Institutions

Publications per year

2017–2026

50

Variants

Spatial Glms

Authors

763

  1. ML
    Miska Luoto

    University of Helsinki, Finland

    5 publications · 277 citations

    5

    h-index

  2. MB
    Miguel B. Araújo

    Museo Nacional de Ciencias Naturales, Spain

    3 publications · 892 citations

    3

    h-index

  3. GA
    Giuseppe Arbia

    University of Chieti-Pescara, Italy

    3 publications · 63 citations

    3

    h-index

  4. RD
    Russell D. Wolfinger

    SAS Institute (United States), United States

    3 publications · 77 citations

    3

    h-index

  5. LA
    Luc Anselin

    Arizona State University, United States

    3 publications · 2K citations

    3

    h-index

1–5 of 763

Venues

  1. PLoS ONE

    10 publications · 253 citations

    10

    h-index

  2. Biometrics

    9 publications · 2.5K citations

    9

    h-index

  3. Journal of Computational and Graphical Statistics

    JCGS · 9 publications · 415 citations

    9

    h-index

  4. Ecography

    7 publications · 590 citations

    7

    h-index

  5. Geographical Analysis

    6 publications · 622 citations

    6

    h-index

1–5