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Spatial Joins Using Seeded Trees

Summary: Join-time seeded trees (R-tree-like) enable spatial joins without prebuilt indices; supports multi-layer overlays and non-spatial selections. Seed levels guide growth and filter data to shrink the structure; linked-list construction reduces random I/Os to sequential, delivering major I/O gains and generally lower CPU cost (except with seed filtering). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2789
Venue
SIGMOD
Year
1994
Pagerank
8.7650894e-05
Overall Rank
2,310 | 84.16%
DOI
10.1145/191839.191881

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{lo_sigmod94,
        title = {{Spatial Joins Using Seeded Trees}},
        author = {Lo, Ming-Ling and Ravishankar, Chinya V.},
        series = {{SIGMOD} '94},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/191839.191881},
        url = {https://dl.acm.org/doi/10.1145/191839.191881},
        year = {1994}
}

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