Space-time Regression

Space-Time Regression is a statistical modeling framework that belongs to the class of regression techniques, distinguished by its explicit integration of spatial and temporal dependencies to analyze phenomena that vary simultaneously across geographic locations and time points.

51

Publications

4.7K

Citations

153

Authors

95

Institutions

Publications per year

2017–2026

19

Variants

Spatiotemporal Regression

Authors

153

  1. TK
    Thomas Kneib

    University of Göttingen, Germany

    4 publications · 598 citations

    4

    h-index

  2. SL
    Stefan Lang

    University of Salzburg, Austria

    3 publications · 587 citations

    3

    h-index

  3. LF
    Ludwig Fahrmeir

    Ludwig-Maximilians-Universität München, Germany

    3 publications · 366 citations

    3

    h-index

  4. RL
    Renyi Liu

    Zhejiang University, China

    2 publications · 142 citations

    2

    h-index

  5. BH
    Bo Huang

    Chinese University of Hong Kong, Hong Kong SAR China

    2 publications · 458 citations

    2

    h-index

1–5 of 153

Venues

  1. 3

    h-index

  2. 2

    h-index

  3. Computers & Geosciences

    CAGEO · 2 publications · 113 citations

    2

    h-index

  4. Remote Sensing of Environment

    2 publications · 406 citations

    2

    h-index

  5. AIP conference proceedings

    2 publications · 54 citations

    2

    h-index

1–5