Spatiotemporal Data Analysis
Spatiotemporal Data Analysis is a computational and statistical methodology within the broader domain of environmental data analysis that integrates spatial and temporal dimensions to model, analyze, and interpret patterns, processes, and dynamics of phenomena distributed across both space and time.
778
Publications
42K
Citations
2.9K
Authors
1.1K
Institutions
Publications per year
2017–2026
413
778
The Split-Apply-Combine Strategy for Data Analysis
Hadley Wickham · Journal of Statistical Software · 2011 · 2.9K citations · Full text
Statistics for Spatio‐Temporal Data
T. Subba Rao · Journal of Time Series Analysis · 2012 · 1.6K citations
Computing, Biostatistics, Geography +12
Y. Q. Wang, X. Y. Zhang, Roland R. Draxler · Environmental Modelling & Software · 2009 · 1.1K citations
Spatial Data Analysis by Example
Timothy C. Coburn · Technometrics · 1991 · 926 citations
Computing, Geography, Geoinformatics +10
1–5 of 778
2.9K
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5
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5
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4
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4
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1–5 of 2.9K
1.1K

Chinese Academy of Sciences
Beijing, China
18 h-index
113 publications
3.9K citations
Wuhan University
Wuhan, China
14 h-index
46 publications
1.7K citations
Arizona State University
Tempe, United States
12 h-index
31 publications
1.5K citations
University of Chinese Academy of Sciences
Beijing, China
12 h-index
39 publications
1.2K citations
University of Illinois Urbana-Champaign
Urbana, United States
11 h-index
26 publications
1.5K citations

Peking University
Beijing, China
11 h-index
33 publications
1.5K citations

University of Minnesota
Minneapolis, United States
11 h-index
22 publications
2K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
25 publications
1.5K citations
1–8 of 1.1K
28 publications · 1.8K citations
20
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15 publications · 555 citations
14
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IJGI · 14 publications · 358 citations
13
h-index
9 publications · 615 citations
9
h-index
Repository · 9 publications · 401 citations
9
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1–5