Spatio-temporal Cluster Analysis

Spatio-Temporal Cluster Analysis is a methodological framework within spatial time series research that identifies and characterizes non-random aggregations of events or phenomena in both geographic space and chronological time by integrating spatial proximity and temporal continuity into a unified analytical structure.

379

Publications

19.1K

Citations

1.5K

Authors

683

Institutions

Publications per year

2017–2026

182

Authors

1.5K

  1. MD
    Min Deng

    Central South University, China

    6 publications · 194 citations

    6

    h-index

  2. GA
    Gennady Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    5 publications · 227 citations

    5

    h-index

  3. MT
    Marj Tonini

    University of Lausanne, Switzerland

    5 publications · 228 citations

    5

    h-index

  4. NA
    Natalia Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    5 publications · 227 citations

    5

    h-index

  5. RZ
    R. Zurita‐Milla

    University of Twente, Netherlands

    4 publications · 113 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. PLoS ONE

    9 publications · 452 citations

    10

    h-index

  2. BMC Infectious Diseases

    9 publications · 354 citations

    9

    h-index

  3. 8

    h-index

  4. Geospatial health

    8 publications · 172 citations

    8

    h-index

  5. Applied Geography

    7 publications · 316 citations

    7

    h-index

1–5