Ripley's K-function

Ripley's K-Function is a spatial statistical metric used in point pattern analysis that quantifies the degree of spatial clustering or dispersion of points within a given area by comparing the observed distribution of nearest neighbor distances to that expected under complete spatial randomness.

51

Publications

4.2K

Citations

157

Authors

85

Institutions

Publications per year

2017–2026

7

Authors

157

  1. ÉM
    Éric Marcon

    Ecologie des Forêts de Guyane, French Guiana

    4 publications · 89 citations

    4

    h-index

  2. GL
    Gabriel Lang

    Washington University in St. Louis, United States

    3 publications · 130 citations

    3

    h-index

  3. ST
    Stéphane Traissac

    AgroParisTech, France

    3 publications · 70 citations

    3

    h-index

  4. AB
    Adrian Baddeley

    The University of Western Australia, Australia

    3 publications · 286 citations

    3

    h-index

  5. FP
    Florence Puech

    Ecologie des Forêts de Guyane, French Guiana

    3 publications · 71 citations

    3

    h-index

1–5 of 157

Venues

  1. Scandinavian Journal of Statistics

    3 publications · 228 citations

    3

    h-index

  2. PLoS ONE

    3 publications · 151 citations

    3

    h-index

  3. Journal of Statistical Software

    JSS · 2 publications · 63 citations

    2

    h-index

  4. Canadian Journal of Forest Research

    2 publications · 77 citations

    2

    h-index

  5. Advances in Applied Probability

    AAP · 2 publications · 171 citations

    2

    h-index

1–5