Point Pattern Clustering

Point Pattern Clustering is a spatial clustering method that identifies and groups point locations in a geographic space based on their proximity and distributional patterns, distinguishing itself from other clustering techniques by focusing specifically on the spatial arrangement of discrete point events.

41

Publications

2.2K

Citations

105

Authors

70

Institutions

Publications per year

2017–2026

12

Authors

105

  1. IY
    Ikuho Yamada

    University of Utah, United States

    3 publications · 301 citations

    3

    h-index

  2. PA
    Peter A. Rogerson

    University at Buffalo, State University of New York, United States

    2 publications · 140 citations

    2

    h-index

  3. JM
    Jorge Mateu

    Universitat Jaume I, Spain

    2 publications · 24 citations

    2

    h-index

  4. MA
    Martin A. Andresen

    Simon Fraser University, Canada

    2 publications · 97 citations

    2

    h-index

  5. AG
    Arthur Getis

    San Diego State University, United States

    2 publications · 408 citations

    2

    h-index

1–5 of 105

Venues

  1. Geographical Analysis

    4 publications · 433 citations

    4

    h-index

  2. Environmetrics

    2 publications · 26 citations

    2

    h-index

  3. Biometrical Journal

    2 publications · 34 citations

    2

    h-index

  4. Health & Place

    2 publications · 72 citations

    2

    h-index

  5. 1

    h-index

1–5