Spatial Model Selection

Spatial Model Selection is the systematic process of identifying the most appropriate statistical model among competing alternatives for representing spatially referenced data, distinguished by its explicit consideration of spatial dependence, heterogeneity, and the trade-off between model complexity and goodness-of-fit within a geographical context.

142

Publications

9.6K

Citations

416

Authors

244

Institutions

Publications per year

2017–2026

41

Authors

416

  1. JM
    Jesús Mur

    Universidad de Zaragoza, Spain

    3 publications · 254 citations

    3

    h-index

  2. LL
    Lung‐fei Lee

    The Ohio State University, United States

    3 publications · 84 citations

    3

    h-index

  3. PM
    Pascal Monestiez

    Biostatistique et processus spatiaux, France

    2 publications · 202 citations

    2

    h-index

  4. JR
    Jonathan R. Bradley

    Florida State University, United States

    2 publications · 45 citations

    2

    h-index

  5. AA
    Ana Angulo

    Universidad de Zaragoza, Spain

    2 publications · 148 citations

    2

    h-index

1–5 of 416

Venues

  1. Optometry and Vision Science

    6 publications · 228 citations

    6

    h-index

  2. Regional Science and Urban Economics

    6 publications · 308 citations

    6

    h-index

  3. Ecological Modelling

    5 publications · 2.6K citations

    5

    h-index

  4. Spatial Statistics

    4 publications · 142 citations

    4

    h-index

  5. Ecological Informatics

    4 publications · 116 citations

    4

    h-index

1–5