Spatiotemporal Point Pattern Analysis

Spatiotemporal Point Pattern Analysis is a statistical methodology within spatial epidemiology that examines the distribution of discrete health events across both space and time to identify non-random clustering patterns, distinguishing it from static spatial or purely temporal analyses by integrating the joint dimensionality of space and time in point-level data.

49

Publications

2.3K

Citations

194

Authors

107

Institutions

Publications per year

2017–2026

19

Authors

194

  1. TW
    Thorsten Wiegand

    Helmholtz Centre for Environmental Research, Germany

    6 publications · 488 citations

    6

    h-index

  2. JM
    José M. Fedriani

    Estación Biológica de Doñana, Spain

    2 publications · 92 citations

    2

    h-index

  3. JR
    José Raventós

    University of Alicante, Spain

    2 publications · 142 citations

    2

    h-index

  4. JM
    Juan M. Morales

    National University of Comahue, Argentina

    2 publications · 45 citations

    2

    h-index

  5. MF
    Martín F. Garbulsky

    Universidad de Buenos Aires, Argentina

    1 publications · 97 citations

    1

    h-index

1–5 of 194

Venues

  1. Ecology

    2 publications · 170 citations

    2

    h-index

  2. Scientific Reports

    2 publications · 44 citations

    2

    h-index

  3. Environmental Science and Pollution Research

    ESPR · 1 publications · 14 citations

    1

    h-index

  4. Bioinformatics

    1 publications · 21 citations

    1

    h-index

  5. Journal of Vegetation Science

    JVS · 1 publications · 35 citations

    1

    h-index

1–5