Real-time Spatial Data Processing
Real-Time Spatial Data Processing is a computational framework within Distributed Geographic Information Systems that enables the continuous, low-latency analysis and transformation of geospatial data streams as they are acquired, distinguished by its strict temporal constraints and synchronization with dynamic real-world phenomena.
32
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1.1K
Citations
121
Authors
57
Institutions
Publications per year
2017–2026
17
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Flexible online task assignment in real-time spatial data
Yongxin Tong, Libin Wang, Zimu Zhou et al. · Proceedings of the VLDB Endowment · 2017 · 148 citations · Full text
Yongxin Tong, Lei Chen, Cyrus Shahabi · Proceedings of the VLDB Endowment · 2017 · 107 citations
Computing, Information Technology, Geographic Information Systems +13
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Wuhan University
Wuhan, China
3 h-index
6 publications
85 citations

Beihang University
Beijing, China
3 h-index
7 publications
602 citations
The Ohio State University
Columbus, United States
2 h-index
2 publications
44 citations
RWTH Aachen University
Aachen, Germany
2 h-index
3 publications
71 citations
Technical University of Munich
Munich, Germany
2 h-index
11 publications
198 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
2 publications
255 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
4 publications
90 citations

Peking University
Beijing, China
1 h-index
4 publications
64 citations
1–8 of 57
PVLDB · 3 publications · 306 citations
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IJGI · 3 publications · 69 citations
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1 publications · 79 citations
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1 publications · 80 citations
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1 publications · 21 citations
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