Spatial Model Diagnostics

Spatial Model Diagnostics is a formal methodological framework within spatial statistical modeling that systematically evaluates the adequacy, assumptions, and performance of spatial models to identify specification errors, residual patterns, and spatial dependencies unaccounted for in the model structure.

127

Publications

12.3K

Citations

304

Authors

197

Institutions

Publications per year

2017–2026

26

Authors

304

  1. LA
    Luc Anselin

    Arizona State University, United States

    6 publications · 4.8K citations

    6

    h-index

  2. HH
    Harry H. Kelejian

    University of Maryland, College Park, United States

    4 publications · 222 citations

    4

    h-index

  3. LL
    Lung‐fei Lee

    The Ohio State University, United States

    3 publications · 72 citations

    3

    h-index

  4. MÁ
    Miguel Ángel Uribe-Opazo

    Universidade Estadual do Oeste do Paraná, Brazil

    3 publications · 160 citations

    3

    h-index

  5. AB
    Adrian Baddeley

    The University of Western Australia, Australia

    3 publications · 345 citations

    3

    h-index

1–5 of 304

Venues

  1. Regional Science and Urban Economics

    8 publications · 2.5K citations

    8

    h-index

  2. Geographical Analysis

    5 publications · 1.1K citations

    5

    h-index

  3. Spatial Statistics

    3 publications · 54 citations

    3

    h-index

  4. Papers of the Regional Science Association

    3 publications · 301 citations

    3

    h-index

  5. Environmental Modelling & Software

    3 publications · 131 citations

    3

    h-index

1–5