Modeling and Querying Vague Spatial Objects Using Shapelets
Summary: Models vague spatial objects with astronomy-derived shapelets, supporting localized, smoothly varying boundaries rather than crisp geometries or point distributions. Provides composable operations plus PostgreSQL integration and specialized indexing. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Daniel Zinn (University of California Davis)
- 2. Jim Bosch (University of California Davis)
- 3. Michael Gertz (University of California Davis)
BibTeX Citation
@article{zinn_vldb07,
title = {{Modeling and Querying Vague Spatial Objects Using Shapelets}},
author = {Zinn, Daniel and Bosch, Jim and Gertz, Michael},
journal = {PVLDB},
series = {{VLDB} '07},
pages = {567--578},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,002 | Designing And Mining Multi-Terabyte Astronomy Archives: The Sloan Digital Sky Survey | 2000 | SIGMOD | 0.00012706131 |
| 1,486 | Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions | 2005 | VLDB | 0.00010625076 |
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