Spatio-temporal Hotspot Analysis

Spatio-Temporal Hotspot Analysis is a spatio-temporal analytical method that identifies statistically significant clusters of events or phenomena across both geographic space and time, distinguishing itself by detecting locations and periods where occurrences are anomalously concentrated relative to the surrounding spatio-temporal context.

44

Publications

2.1K

Citations

169

Authors

94

Institutions

Publications per year

2017–2026

24

Variants

Spatiotemporal Hotspot Analysis

Authors

169

  1. DZ
    Daniel Zeng

    University of Arizona, United States

    2 publications · 62 citations

    2

    h-index

  2. DE
    David E. Gorla

    Universidad Nacional de Córdoba, Argentina

    1 publications · 27 citations

    1

    h-index

  3. FD
    Fiona Douglas

    University of Idaho, United States

    1 publications · 12 citations

    1

    h-index

  4. FD
    Ferdinando Di Martino

    University of Naples Federico II, Italy

    1 publications · 20 citations

    1

    h-index

  5. SK
    Sarsenbay K. Abdrakhmanov

    S.Seifullin Kazakh Agro Technical University, Kazakhstan

    1 publications · 25 citations

    1

    h-index

1–5 of 169

Venues

  1. Accident Analysis & Prevention

    4 publications · 470 citations

    4

    h-index

  2. Geospatial health

    2 publications · 52 citations

    2

    h-index

  3. Scientific Reports

    2 publications · 60 citations

    2

    h-index

  4. Biodiversity and Conservation

    1 publications · 114 citations

    1

    h-index

  5. 1

    h-index

1–5