Spatiotemporal Statistics

Spatiotemporal Statistics is a statistical methodology that integrates spatial and temporal dimensions to analyze patterns, dependencies, and processes in data distributed across both space and time.

188

Publications

21.6K

Citations

665

Authors

363

Institutions

Publications per year

2017–2026

93

Variants

Spatio-temporal Statistics

Authors

665

  1. NC
    Noel Cressie

    Iowa State University, United States

    4 publications · 10.6K citations

    4

    h-index

  2. GC
    George Christakos

    San Diego State University, United States

    3 publications · 142 citations

    3

    h-index

  3. CE
    Christoph E. Schreiner

    University of California, San Francisco, United States

    3 publications · 182 citations

    3

    h-index

  4. BG
    Bin Guo

    Xi'an University of Science and Technology, China

    3 publications · 193 citations

    3

    h-index

  5. PO
    Philipp Otto

    Leibniz University Hannover, Germany

    3 publications · 67 citations

    3

    h-index

1–5 of 665

Venues

  1. Environmetrics

    6 publications · 275 citations

    6

    h-index

  2. PLoS ONE

    6 publications · 291 citations

    6

    h-index

  3. 5

    h-index

  4. 4

    h-index

  5. Journal of Time Series Analysis

    5 publications · 1.7K citations

    4

    h-index

1–5