Modeling and Querying Vague Spatial Objects Using Shapelets
Summary: Models vague spatial objects by using shapelets, an astronomy image-decomposition primitive, as the base data type for smoothly varying, localized extents. Provides a comprehensive set of low-level operators and a PostgreSQL extension with shapelet indexing for efficient, localized querying beyond crisp/fuzzy models. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Daniel Zinn
- 2. Jim Bosch
- 3. Michael Gertz
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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 |
|---|---|---|---|---|
| 817 | Designing And Mining Multi-Terabyte Astronomy Archives: The Sloan Digital Sky Survey | 2000 | SIGMOD | 0.00016261886 |
| 1,568 | Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions | 2005 | VLDB | 0.0001131667 |
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