Spatiotemporal Data Models
Spatiotemporal Data Models is a formal framework for representing geographic phenomena by integrating spatial and temporal dimensions, distinguishing it from static spatial models through its explicit modeling of location, time, and their interdependent changes.
414
Publications
19.6K
Citations
1.3K
Authors
565
Institutions
Publications per year
2017–2026
156
414
A Unified Model for Spatial and Temporal Information
Mike Worboys · The Computer Journal · 1994 · 356 citations · Full text
1–5 of 414
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565
Wuhan University
Wuhan, China
11 h-index
34 publications
1K citations

Chinese Academy of Sciences
Beijing, China
10 h-index
39 publications
1.3K citations
University of Oklahoma
Norman, United States
8 h-index
12 publications
609 citations
Aalborg University
Aalborg, Denmark
7 h-index
12 publications
451 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
7 h-index
22 publications
800 citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
7 h-index
20 publications
797 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
7 h-index
19 publications
842 citations

Sun Yat-sen University
Guangzhou, China
6 h-index
18 publications
418 citations
1–8 of 565
23 publications · 1.6K citations
17
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13 publications · 1K citations
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8 publications · 344 citations
8
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7 publications · 255 citations
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TKDE · 7 publications · 514 citations
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