Spatio-temporal Data Model
Spatio-Temporal Data Model is a formal representation framework that integrates spatial and temporal dimensions to explicitly capture and manage the location, extent, and evolution of entities or phenomena over time within a unified data structure.
540
Publications
27.7K
Citations
1.6K
Authors
643
Institutions
Publications per year
2017–2026
194
Parents
540
A foundation for representing and querying moving objects
Ralf Hartmut Güting, Michael H. Böhlen, Martin Erwig et al. · ACM Transactions on Database Systems · 2000 · 756 citations · Full text
Modeling and querying moving objects
A. Prasad Sistla, Ouri Wolfson, Sam Chamberlain et al. · 2002 · 611 citations
Recommending friends and locations based on individual location history
Yu Zheng, Lizhu Zhang, Zhengxin Ma et al. · ACM Transactions on the Web · 2011 · 480 citations
Computing, Geography, Geoinformatics +15
1–5 of 540
1.6K
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Hong Kong University of Science and Technology, Hong Kong SAR China
7 publications · 792 citations
7
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6
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6
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1–5 of 1.6K
643

Chinese Academy of Sciences
Beijing, China
12 h-index
45 publications
1.3K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
11 h-index
16 publications
1.1K citations
Aalborg University
Aalborg, Denmark
10 h-index
18 publications
3.8K citations
Purdue University West Lafayette
West Lafayette, United States
9 h-index
22 publications
1.2K citations
Wuhan University
Wuhan, China
9 h-index
37 publications
1.3K citations

University of Minnesota
Minneapolis, United States
8 h-index
19 publications
1.3K citations
University of Illinois Chicago
Chicago, United States
8 h-index
15 publications
2.2K citations
FernUniversität in Hagen
Hagen, Germany
7 h-index
15 publications
3K citations
1–8 of 643
17 publications · 1K citations
15
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15 publications · 590 citations
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13 publications · 1.1K citations
13
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IJGI · 10 publications · 277 citations
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Repository · 9 publications · 201 citations
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