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TOUCH: In-Memory Spatial Join by Hierarchical Data-Oriented Partitioning

Summary: TOUCH enables an in-memory spatial join via hierarchical data-oriented partitioning to minimize memory footprint and comparisons. Beats in-memory and disk-based baselines, with ~10x fewer comparisons and ~100x speedups, and better density scalability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4695
Venue
SIGMOD
Year
2013
Pagerank
6.4826356e-05
Overall Rank
4,844 | 66.77%
DOI
10.1145/2463676.2463700

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{nobari_sigmod13,
        title = {{TOUCH: In-Memory Spatial Join by Hierarchical Data-Oriented Partitioning}},
        author = {Nobari, Sadegh and Karras, Panagiotis and Tauheed, Farhan and Bressan, Stéphane and Heinis, Thomas and Ailamaki, Anastasia},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2463700},
        url = {https://dl.acm.org/doi/10.1145/2463676.2463700},
        year = {2013}
}

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