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A Comparison of Spatial Query Processing Techniques for Native and Parameter Spaces

Summary: Compare native-space and parameter-space spatial querying on a Z-order index; data map to points, queries to regions, revealing representation tradeoffs. Single large query: parameter-space may win with redundancy but is less accurate; many queries: native-space is faster and more accurate early, while low-redundancy parameter-space overtakes as query count grows. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2560
Venue
SIGMOD
Year
1990
Pagerank
8.8700017e-05
Overall Rank
2,249 | 84.58%
DOI
10.1145/93597.98743

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{orenstein_sigmod90,
        title = {{A Comparison of Spatial Query Processing Techniques for Native and Parameter Spaces}},
        author = {Orenstein, Jack},
        series = {{SIGMOD} '90},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/93597.98743},
        url = {https://dl.acm.org/doi/10.1145/93597.98743},
        year = {1990}
}

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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
96 Spatial Query Processing in an Object-Oriented Database System 1986 SIGMOD 0.00034590762
253 A Class of Data Structures for Associative Searching 1984 PODS 0.00023200431
1,019 Redundancy in Spatial Databases 1989 SIGMOD 0.00012622386
1,202 Fractals for Secondary Key Retrieval 1989 PODS 0.00011672157
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