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
Parents
152
Applied Spatial Econometrics: Raising the Bar
J. Paul Elhorst · Spatial Economic Analysis · 2010 · 1.7K citations · Full text
Spatial Modeling With Spatially Varying Coefficient Processes
Alan E. Gelfand, Hyon‐Jung Kim, C. F. Sirmans et al. · Journal of the American Statistical Association · 2003 · 626 citations · Full text
Geographical and Temporal Weighted Regression (GTWR)
A. Stewart Fotheringham, Ricardo Crespo, Jing Yao · Geographical Analysis · 2015 · 590 citations
Computing, Geography, Geoinformatics +15
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362
University of Washington
Seattle, United States
10 h-index
37 publications
4.1K citations
Harvard University
Cambridge, United States
6 h-index
16 publications
1.6K citations
North Carolina State University
Raleigh, United States
5 h-index
6 publications
244 citations

Imperial College London
London, United Kingdom
4 h-index
9 publications
384 citations
University of Connecticut
Storrs, United States
4 h-index
4 publications
943 citations
Clemson University
Clemson, United States
4 h-index
10 publications
438 citations
Cancer Research And Biostatistics
Seattle, United States
4 h-index
9 publications
1.4K citations

University of Georgia
Athens, United States
4 h-index
8 publications
334 citations
1–8 of 362
7 publications · 1.8K citations
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5 publications · 171 citations
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4 publications · 64 citations
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4 publications · 154 citations
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4 publications · 272 citations
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