LASEK: LLM-Assisted Style Exploration Kit for Geospatial Data
Summary: LASEK uses LLMs to automate attribute selection and visualization styling for large-scale spatio-temporal geospatial data. It uniquely combines data-aware style recommendations with interpretable, interactive map exploration, reducing domain-specific manual configuration. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Tarlan Bahadori (University of California Riverside)
- 2. Sai Sreekar Sarvepalli (University of California Riverside)
- 3. Ahmed Eldawy (University of California Riverside)
BibTeX Citation
@article{bahadori_vldb25,
title = {{LASEK: LLM-Assisted Style Exploration Kit for Geospatial Data}},
author = {Bahadori, Tarlan and Sarvepalli, Sai Sreekar and Eldawy, Ahmed},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5435--5438},
doi = {10.14778/3750601.3750690},
url = {https://doi.org/10.14778/3750601.3750690},
year = {2025}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,366 | HAIChart: Human and AI Paired Visualization System | 2024 | VLDB | 6.2457679e-05 |
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