Purely Spatial Models

Purely Spatial Models is a spatial cluster analysis method that exclusively incorporates geographic location as the basis for clustering, without integrating temporal, attribute-based, or covariate information in the modeling process.

33

Publications

4.4K

Citations

84

Authors

60

Institutions

Publications per year

2017–2026

6

Authors

84

  1. RD
    Ruth Dalton

    Northumbria University, United Kingdom

    2 publications · 110 citations

    2

    h-index

  2. JW
    Jean Wineman

    Georgia Institute of Technology, United States

    2 publications · 110 citations

    2

    h-index

  3. JP
    John Peponis

    Georgia Institute of Technology, United States

    2 publications · 110 citations

    2

    h-index

  4. PW
    Paul Whiteley

    University of Essex, United Kingdom

    2 publications · 66 citations

    2

    h-index

  5. PM
    Pedro Mayor

    Universitat Autònoma de Barcelona, Spain

    1 publications · 22 citations

    1

    h-index

1–5 of 84

Venues

  1. American Political Science Review

    2 publications · 2.3K citations

    2

    h-index

  2. Biological Conservation

    1 publications · 441 citations

    1

    h-index

  3. Perception & Psychophysics

    1 publications · 72 citations

    1

    h-index

  4. Journal of Theoretical Politics

    JTP · 1 publications · 15 citations

    1

    h-index

  5. International Political Science Review

    RISP · 1 publications · 27 citations

    1

    h-index

1–5