Spatial Clustering

Spatial Clustering is a spatial data analysis technique that identifies non-random, geographically localized groupings of phenomena by distinguishing them from dispersed or random patterns through the detection of proximity-based aggregations in spatially referenced data.

4.6K

Publications

373.7K

Citations

11.9K

Authors

3.3K

Institutions

Publications per year

2017–2026

1.8K

Authors

11.9K

  1. MK
    Martin Kulldorff

    Harvard University, United States

    22 publications · 8.1K citations

    20

    h-index

  2. MD
    Min Deng

    Central South University, China

    24 publications · 905 citations

    16

    h-index

  3. TP
    Tao Pei

    Institute of Geographic Sciences and Natural Resources Research, China

    15 publications · 528 citations

    15

    h-index

  4. LW
    Lizhen Wang

    Yunnan University, China

    17 publications · 568 citations

    15

    h-index

  5. QL
    Qiliang Liu

    Central South University, China

    14 publications · 466 citations

    13

    h-index

1–5 of 11.9K

Venues

  1. 36

    h-index

  2. Geographical Analysis

    62 publications · 26.5K citations

    36

    h-index

  3. Expert Systems with Applications

    55 publications · 2.9K citations

    31

    h-index

  4. Pattern Recognition

    45 publications · 3.5K citations

    30

    h-index

  5. Statistics in Medicine

    54 publications · 4.5K citations

    30

    h-index

1–5