Point Pattern Autocorrelation

Point Pattern Autocorrelation is a spatial statistical method that quantifies the degree to which the arrangement of point locations in space exhibits non-random clustering or dispersion patterns based on the spatial dependence among nearest neighbors.

25

Publications

5.4K

Citations

39

Authors

20

Institutions

Publications per year

2017–2026

2

Authors

39

  1. GU
    Graham Upton

    University of Essex, United Kingdom

    5 publications · 597 citations

    5

    h-index

  2. BF
    Bernard Fingleton

    University of Cambridge, United Kingdom

    3 publications · 451 citations

    3

    h-index

  3. JS
    Jürgen Symanzik

    Utah State University, United States

    2 publications · 710 citations

    2

    h-index

  4. NC
    Noel Cressie

    Iowa State University, United States

    2 publications · 374 citations

    2

    h-index

  5. BF
    B. Fingleton

    University of Strathclyde, United Kingdom

    2 publications · 146 citations

    2

    h-index

1–5 of 39

Venues

  1. Technometrics

    3 publications · 938 citations

    3

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  2. 2

    h-index

  3. Statistics

    1 publications · 16 citations

    1

    h-index

  4. Mathematical Geosciences

    1 publications · 18 citations

    1

    h-index

  5. Biometrics

    1 publications · 96 citations

    1

    h-index

1–5