Statistics Collection in Oracle Spatial and Graph: Fast Histogram Construction for Complex Geometry Objects
Summary: First implementation-focused study of spatial statistics in a commercial GIS (Oracle Spatial and Graph) for complex geometry objects. Proposes a main-memory approach that improves partitioning-based methods by leveraging existing R-trees to yield accurate selectivity, supported by extensive Oracle performance experiments. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Bhuvan Bamba
- 2. Siva Ravada
- 3. Ying Hu
- 4. Richard Anderson
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