Spatio-temporal Regression Models

Spatio-Temporal Regression Models is a statistical modeling framework that extends traditional regression analysis by incorporating both spatial dependencies and temporal dynamics to predict continuous outcomes that vary across space and time.

152

Publications

11.7K

Citations

610

Authors

362

Institutions

Publications per year

2017–2026

76

Authors

610

  1. AA
    Adam A. Szpiro

    University of Washington, United States

    5 publications · 496 citations

    5

    h-index

  2. LS
    Lianne Sheppard

    University of Washington, United States

    5 publications · 500 citations

    5

    h-index

  3. PD
    Paul D. Sampson

    University of Washington, United States

    5 publications · 496 citations

    5

    h-index

  4. AE
    Alan E. Gelfand

    Duke University, United States

    4 publications · 926 citations

    4

    h-index

  5. JS
    Joel Schwartz

    Harvard University, United States

    4 publications · 317 citations

    4

    h-index

1–5 of 610

Venues

  1. 7

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  2. Environmental and Ecological Statistics

    5 publications · 171 citations

    5

    h-index

  3. Spatial Statistics

    4 publications · 64 citations

    4

    h-index

  4. 4

    h-index

  5. Environmetrics

    4 publications · 272 citations

    4

    h-index

1–5