Interactive Visualization for Big Spatial Data
Summary: Adaptive indexing unifies multilevel image tiles and data indexes into a single index for scalable, interactive spatial visualization. Marker-layer approach with unequal Google Maps tiles reduces index size and maintains interactivity across visualizations. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Saheli Ghosh (University of California Riverside)
BibTeX Citation
@inproceedings{ghosh_sigmod19,
title = {{Interactive Visualization for Big Spatial Data}},
author = {Ghosh, Saheli},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3300099},
url = {https://dl.acm.org/doi/10.1145/3299869.3300099},
year = {2019}
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.0020210012 |
| 1,098 | Google Fusion Tables: Web-Centered Data Management and Collaboration | 2010 | SIGMOD | 0.00012179025 |
| 3,230 | An Analytic Data Engine for Visualization in Tableau | 2011 | SIGMOD | 7.6208919e-05 |
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