J-function

The J-Function is a statistical summary function in spatial point pattern analysis that distinguishes regular from clustered patterns by comparing the complementary cumulative distribution of distances from a typical point to its nearest neighbor in the observed pattern against that of a completely spatially random pattern.

35

Publications

1.5K

Citations

76

Authors

55

Institutions

Publications per year

2017–2026

3

Variants

J Function

Authors

76

  1. JM
    Jesper Møller

    Aalborg University, Denmark

    2 publications · 73 citations

    2

    h-index

  2. FC
    Fred C. Leone

    University of Iowa, United States

    2 publications · 296 citations

    2

    h-index

  3. NE
    Noaman El-Khatib

    King Saud University, Saudi Arabia

    2 publications · 50 citations

    2

    h-index

  4. CW
    Chester W. Topp

    2 publications · 296 citations

    2

    h-index

  5. GL
    Giovanni Luca Torrisi

    Istituto per le Applicazioni del Calcolo Mauro Picone, Italy

    2 publications · 73 citations

    2

    h-index

1–5 of 76

Venues

  1. Advances in Applied Probability

    AAP · 3 publications · 89 citations

    3

    h-index

  2. Vision Research

    2 publications · 52 citations

    2

    h-index

  3. 2

    h-index

  4. International Economic Journal

    2 publications · 191 citations

    2

    h-index

  5. Scandinavian Journal of Statistics

    2 publications · 137 citations

    2

    h-index

1–5