Spatial Pattern Detection

Spatial Pattern Detection is a methodological framework within geospatial data analysis that identifies non-random spatial configurations, such as clusters, outliers, or gradients, by statistically distinguishing them from background spatial distributions.

213

Publications

12.9K

Citations

552

Authors

273

Institutions

Publications per year

2017–2026

46

Authors

552

  1. MD
    Min Deng

    Central South University, China

    9 publications · 256 citations

    9

    h-index

  2. JC
    Jiannan Cai

    Chinese University of Hong Kong, Hong Kong SAR China

    7 publications · 237 citations

    7

    h-index

  3. SS
    Shashi Shekhar

    University of Minnesota, United States

    6 publications · 220 citations

    6

    h-index

  4. JT
    Jean‐Claude Thill

    University of North Carolina at Charlotte, United States

    5 publications · 357 citations

    5

    h-index

  5. QL
    Qiliang Liu

    Central South University, China

    5 publications · 141 citations

    5

    h-index

1–5 of 552

Venues

  1. 15

    h-index

  2. Geographical Analysis

    9 publications · 594 citations

    9

    h-index

  3. Vision Research

    7 publications · 440 citations

    7

    h-index

  4. Transactions in GIS

    4 publications · 82 citations

    4

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 656 citations

    4

    h-index

1–5