Spatiotemporal Clustering

Spatiotemporal Clustering is a computational method that identifies non-random aggregations of events or phenomena in both space and time by distinguishing them from background distributions through integrated spatial and temporal proximity measures.

276

Publications

12.1K

Citations

965

Authors

428

Institutions

Publications per year

2017–2026

131

Authors

965

  1. MD
    Min Deng

    Central South University, China

    5 publications · 128 citations

    5

    h-index

  2. EH
    Edward H. Field

    United States Geological Survey, United States

    4 publications · 214 citations

    4

    h-index

  3. WP
    Witold Pedrycz

    University of Alberta, Canada

    4 publications · 246 citations

    4

    h-index

  4. KR
    Kevin R. Milner

    United States Geological Survey, United States

    4 publications · 214 citations

    4

    h-index

  5. GA
    Gennady Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    4 publications · 400 citations

    4

    h-index

1–5 of 965

Venues

  1. ISPRS International Journal of Geo-Information

    IJGI · 12 publications · 483 citations

    12

    h-index

  2. 9

    h-index

  3. PLoS ONE

    8 publications · 242 citations

    8

    h-index

  4. Scientific Reports

    4 publications · 93 citations

    5

    h-index

  5. Expert Systems with Applications

    5 publications · 679 citations

    5

    h-index

1–5