Spatial Clustering Features

Spatial Clustering Features is a spatial feature engineering method that identifies and represents inherent groupings of geographic entities based on proximity and attribute similarity to enhance spatial pattern analysis in geographic data science.

48

Publications

2.3K

Citations

213

Authors

125

Institutions

Publications per year

2017–2026

21

Authors

213

  1. LT
    Longfeng Tang

    Zhejiang University of Technology, China

    1 publications · 25 citations

    1

    h-index

  2. SM
    S. Maddox

    University of Edinburgh, United Kingdom

    1 publications · 19 citations

    1

    h-index

  3. SA
    Shahkar Amir

    Karadeniz Technical University, Türkiye

    1 publications · 21 citations

    1

    h-index

  4. HO
    Hidehiko Okazawa

    University of Fukui, Japan

    1 publications · 43 citations

    1

    h-index

  5. SL
    Senlin Luo

    Beijing Institute of Technology, China

    1 publications · 19 citations

    1

    h-index

1–5 of 213

Venues

  1. The Astrophysical Journal

    ApJ · 3 publications · 85 citations

    3

    h-index

  2. 2

    h-index

  3. Journal of Advanced Transportation

    1 publications · 19 citations

    1

    h-index

  4. European Planning Studies

    1 publications · 71 citations

    1

    h-index

  5. 1

    h-index

1–5