Space-time Statistics
Space-Time Statistics is a statistical methodology that integrates spatial and temporal dimensions to analyze patterns, processes, and relationships in data distributed across both space and time.
262
Publications
16.4K
Citations
808
Authors
438
Institutions
Publications per year
2017–2026
58
Parents
262
Self-Exciting Point Process Modeling of Crime
George Mohler, Martin B. Short, P. Jeffrey Brantingham et al. · Journal of the American Statistical Association · 2011 · 874 citations
Space–Time Covariance Functions
Michael L. Stein · Journal of the American Statistical Association · 2005 · 442 citations
Computing, Mathematics, Physics +17
1–5 of 262
808
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h-index
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438
Harvard University
Cambridge, United States
5 h-index
7 publications
647 citations

Chinese Center For Disease Control and Prevention
Beijing, China
5 h-index
25 publications
1.3K citations
University College London
London, United Kingdom
5 h-index
8 publications
895 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
9 publications
211 citations
Arizona State University
Tempe, United States
4 h-index
5 publications
229 citations
Wuhan University
Wuhan, China
4 h-index
11 publications
446 citations
Texas A&M University
College Station, United States
4 h-index
7 publications
444 citations
Virginia Tech
Blacksburg, United States
4 h-index
13 publications
421 citations
1–8 of 438
12 publications · 660 citations
11
h-index
9 publications · 757 citations
8
h-index
7 publications · 514 citations
7
h-index
6 publications · 257 citations
6
h-index
6 publications · 179 citations
6
h-index
1–5