The Impact of Global Clustering on Spatial Database Systems
Summary: Proposes cluster organization, a global clustering with no algorithmic overhead. Real-data experiments show up to 4x faster spatial joins and window queries, while preserving insertions and selective point queries, outperforming non-global models. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 478 | Multi-Step Processing of Spatial Joins | 1994 | SIGMOD | 0.0002222104 |
| 5,860 | Benchmarking Spatial Join Operations with Spatial Output | 1995 | VLDB | 5.2990241e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,217 | Spatial Partitioning Techniques in SpatialHadoop | 2015 | VLDB | 6.3514771e-05 |
| 2,672 | Spatial Joins Using Seeded Trees | 1994 | SIGMOD | 8.3363695e-05 |
| 6,571 | Techniques for Design and Implementation of Efficient Spatial Access Methods | 1988 | VLDB | 5.0061936e-05 |
| 478 | Multi-Step Processing of Spatial Joins | 1994 | SIGMOD | 0.0002222104 |
| 7,608 | Clustering Objects on a Spatial Network | 2004 | SIGMOD | 4.6967024e-05 |
| 4,746 | An Experimental Analysis of Iterated Spatial Joins in Main Memory | 2013 | VLDB | 5.9571146e-05 |
| 3,543 | Approximation Techniques for Spatial Data | 2004 | SIGMOD | 6.9917053e-05 |
| 148 | Efficient Processing of Spatial Joins Using R-trees | 1993 | SIGMOD | 0.00041182766 |
| 76 | Spatial Query Processing in an Object-Oriented Database System | 1986 | SIGMOD | 0.00057303551 |
| 6,076 | Window Query-Optimal Clustering of Spatial Objects | 1995 | PODS | 5.223696e-05 |