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Size Separation Spatial Join

Summary: Proposes Size Separation Spatial Join (S3J), a no-index, no-replication, hierarchical space-division algorithm; runtime scales with input sizes. DSB enables dynamic bitmap-style processing; offers simple cost models and empirical gains over prior work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3019
Venue
SIGMOD
Year
1997
Pagerank
7.7941163e-05
Overall Rank
3,066 | 78.97%
DOI
10.1145/253260.253340

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{koudas_sigmod97,
        title = {{Size Separation Spatial Join}},
        author = {Koudas, Nick and Sevcik, Kenneth C.},
        series = {{SIGMOD} '97},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/253260.253340},
        url = {https://dl.acm.org/doi/10.1145/253260.253340},
        year = {1997}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
2 R-Trees: A Dynamic Index Structure For Spatial Searching 1984 SIGMOD 0.0020210012
42 The R+-Tree: A Dynamic Multi-Dimensional Index for Objects 1987 VLDB 0.00046170812
96 Spatial Query Processing in an Object-Oriented Database System 1986 SIGMOD 0.00034590762
145 Efficient Processing of Spatial Joins Using R-trees 1993 SIGMOD 0.00029548428
522 Multi-Step Processing of Spatial Joins 1994 SIGMOD 0.00017133516
728 Partition Based Spatial-Merge Join 1996 SIGMOD 0.00014542772
994 Spatial Hash-Joins 1996 SIGMOD 0.00012764684
5,202 Filter Trees for Managing Spatial Data Over a Range of Size Granularities 1996 VLDB 6.3194496e-05
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