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Spatial Joins Using R-trees: Breadth-First Traversal with Global Optimizations

Summary: Introduces BFRJ, a breadth-first, synchronized R-tree join across two trees. Per level, it builds a join index and applies global optimizations to accelerate the next level, yielding up to 50% gains vs the state of the art. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8631
Venue
VLDB
Year
1997
Pagerank
8.432498e-05
Overall Rank
2,548 | 82.52%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{huang_vldb97,
        title = {{Spatial Joins Using R-trees: Breadth-First Traversal with Global Optimizations}},
        author = {Huang, Yun-Wu and Jing, Ning and Rundensteiner, Elke A.},
        journal = {PVLDB},
        series = {{VLDB} '97},
        pages = {396},
        year = {1997}
}

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