Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration
Summary: Proposes Spatial Object Selection (SOS) to pick a small, representative, well-spaced geo set; NP-hard with a guaranteed-approx algorithm. Extends to Interactive SOS ISOS with zoom/pan consistency, adds prefetching, and shows scalable map exploration. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tao Guo (Nanyang Technological University)
- 2. Kaiyu Feng (Nanyang Technological University)
- 3. Gao Cong (Nanyang Technological University)
- 4. Zhifeng Bao (RMIT University)
BibTeX Citation
@inproceedings{guo_sigmod18,
title = {{Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration}},
author = {Guo, Tao and Feng, Kaiyu and Cong, Gao and Bao, Zhifeng},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3183738},
url = {https://dl.acm.org/doi/10.1145/3183713.3183738},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,176 | POIsam: a System for Efficient Selection of Large-scale Geospatial Data on Maps | 2018 | SIGMOD | 5.9496498e-05 |
| 7,129 | Marviq: Quality-Aware Geospatial Visualization of Range-Selection Queries Using Materialization | 2020 | SIGMOD | 5.694968e-05 |
| 7,810 | Minimizing the Regret of an Influence Provider | 2021 | SIGMOD | 5.5393525e-05 |
| 8,722 | Machine Learning Meets Big Spatial Data | 2019 | VLDB | 5.3769871e-05 |
| 9,504 | Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks | 2022 | VLDB | 5.2585442e-05 |
| 11,615 | SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization | 2022 | VLDB | 5.093636e-05 |
| 11,697 | Fast Augmentation Algorithms for Network Kernel Density Visualization | 2021 | VLDB | 5.093636e-05 |
| 11,755 | QUAD: Quadratic-Bound-based Kernel Density Visualization | 2020 | SIGMOD | 5.093636e-05 |
| 11,812 | Tabula in Action: A Sampling Middleware for Interactive Geospatial Visualization Dashboards | 2020 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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