Spatial Multilevel Models

Spatial Multilevel Models is a statistical modeling framework that extends multilevel models by incorporating spatially structured random effects to account for geographical or spatial dependencies among observational units nested within hierarchical levels.

390

Publications

22.7K

Citations

1.3K

Authors

595

Institutions

Publications per year

2017–2026

152

Authors

1.3K

  1. KJ
    Kelvyn Jones

    University of Bristol, United Kingdom

    10 publications · 1.1K citations

    10

    h-index

  2. SV
    S. V. Subramanian

    Harvard University, United States

    8 publications · 793 citations

    8

    h-index

  3. GD
    Guanpeng Dong

    Henan University, China

    7 publications · 380 citations

    7

    h-index

  4. XF
    Xiaoqi Feng

    University of Wollongong, Australia

    6 publications · 357 citations

    6

    h-index

  5. TA
    Thomas Astell‐Burt

    University of Wollongong, Australia

    6 publications · 357 citations

    6

    h-index

1–5 of 1.3K

Venues

  1. Journal of Epidemiology & Community Health

    12 publications · 1.9K citations

    12

    h-index

  2. PLoS ONE

    11 publications · 579 citations

    11

    h-index

  3. Environment and Planning A Economy and Space

    9 publications · 338 citations

    9

    h-index

  4. 8

    h-index

  5. Criminology

    7 publications · 355 citations

    7

    h-index

1–5