Spatiotemporal Data Alignment
Spatiotemporal Data Alignment is a computational method that synchronizes and registers geospatial data across both spatial and temporal dimensions to ensure consistency and correspondence in the integrated analysis of Global Positioning System data.
9
Publications
1.1K
Citations
25
Authors
9
Institutions
Publications per year
2017–2026
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Map-matching for low-sampling-rate GPS trajectories
Yin Lou, Chengyang Zhang, Yu Zheng et al. · 2009 · 784 citations
Computing, Geoinformatics, Geographic Information Systems +14
Peter Sand, Seth Teller · ACM Transactions on Graphics · 2004 · 144 citations
Guanfeng Wang, Roger Zimmermann · 2014 · 43 citations · Full text
Computing, Geoinformatics, Geographic Information Science +16
Peter Sand, Seth Teller · 2004 · 19 citations
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BMW Group (Germany)
Munich, Germany
1 h-index
2 publications
24 citations

University of North Texas
Denton, United States
1 h-index
1 publications
784 citations
University of Iowa
Iowa City, United States
1 h-index
1 publications
33 citations
Fudan University
Shanghai, China
1 h-index
1 publications
784 citations

University of Bradford
Bradford, United Kingdom
1 h-index
1 publications
18 citations
University of Miami
Coral Gables, United States
1 h-index
1 publications
33 citations
Microsoft Research Asia (China)
Beijing, China
1 h-index
4 publications
3.1K citations
National University of Singapore
Singapore, Singapore
1 h-index
2 publications
86 citations
1–8 of 9
1 publications · 16 citations
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1 publications · 33 citations
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1 publications · 18 citations
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TOG · 1 publications · 144 citations
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Repository · 1 publications · 14 citations
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