RxSpatial: Reactive Spatial Library for Real-Time Location Tracking and Processing
Summary: RxSpatial is a real-time reactive spatial library for moving-object tracking and continuous server-scale spatial computation. Front-end API aligns with Reactive Framework and Microsoft Spatial Library; back-end streams real-time spatial ops for live queries, seen in crime tracking and vehicle collaborations. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Youying Shi (University of Washington)
- 2. Abdeltawab M. Hendawi (University of Virginia)
- 3. Hossam Fattah (Microsoft)
- 4. Mohamed Ali (University of Washington)
BibTeX Citation
@inproceedings{shi_sigmod16,
title = {{RxSpatial: Reactive Spatial Library for Real-Time Location Tracking and Processing}},
author = {Shi, Youying and Hendawi, Abdeltawab M. and Fattah, Hossam and Ali, Mohamed},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2899411},
url = {https://dl.acm.org/doi/10.1145/2882903.2899411},
year = {2016}
}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,539 | iRoad: A Framework For Scalable Predictive Query Processing On Road Networks | 2013 | VLDB | 5.4119882e-05 |
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