Tabula in Action: A Sampling Middleware for Interactive Geospatial Visualization Dashboards
Summary: Tabula is middleware for interactive geospatial dashboards, using prematerialized spatial sampling cubes. User-defined loss functions provide bounded-error visualization answers while accelerating exploration across real-world datasets. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Jia Yu (Arizona State University)
- 2. Kanchan Chowdhury (Arizona State University)
- 3. Mohamed Sarwat (Arizona State University)
BibTeX Citation
@article{yu_vldb20,
title = {{Tabula in Action: A Sampling Middleware for Interactive Geospatial Visualization Dashboards}},
author = {Yu, Jia and Chowdhury, Kanchan and Sarwat, Mohamed},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {2925--2928},
doi = {10.14778/3415478.3415510},
url = {https://doi.org/10.14778/3415478.3415510},
year = {2020}
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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 |
|---|---|---|---|---|
| 4,126 | Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration | 2018 | SIGMOD | 6.8860475e-05 |
| 5,700 | SnappyData: A Hybrid Transactional Analytical Store Built On Spark | 2016 | SIGMOD | 6.1167342e-05 |
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