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Interactive Visual Exploration of Spatio-Temporal Urban Data Sets using Urbane

Summary: Raster Join enables interactive spatial aggregations by translating queries into GPU-driven drawing operations, bypassing pre-aggregation. Demo shows Urbane integration for ad-hoc polygons and multi-resolution urban data on commodity hardware. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5582
Venue
SIGMOD
Year
2018
Pagerank
5.9425753e-05
Overall Rank
6,216 | 57.36%
DOI
10.1145/3183713.3193559

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{doraiswamy_sigmod18,
        title = {{Interactive Visual Exploration of Spatio-Temporal Urban Data Sets using Urbane}},
        author = {Doraiswamy, Harish and Zacharatou, Eleni Tzirita and Miranda, Fabio and Lage, Marcos and Ailamaki, Anastasia and Silva, Cláudio T. and Freire, Juliana},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3193559},
        url = {https://dl.acm.org/doi/10.1145/3183713.3193559},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,614 The Case for Distance-Bounded Spatial Approximations 2021 CIDR 5.4012875e-05
11,799 CheetahVIS: A Visual Analytical System for Large Urban Bus Data 2020 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
5,709 GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons 2018 VLDB 6.1142154e-05
Previous Page 1 / 1 Next

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