DBScholar

Back to papers

Spatial Partitioning Techniques in SpatialHadoop

Summary: SpatialHadoop extends MapReduce with a global spatial index, enabling distributed partitioning that speeds up range and spatial-join queries. Seven partitioning methods, 1% samples suffice; partition-area tracks join-index quality to guide choice. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11225
Venue
VLDB
Year
2015
Pagerank
6.872045e-05
Overall Rank
4,148 | 71.55%
DOI
10.14778/2824032.2824057

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{eldawy_vldb15,
        title = {{Spatial Partitioning Techniques in SpatialHadoop}},
        author = {Eldawy, Ahmed and Alarabi, Louai and Mokbel, Mohamed F.},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {12},
        doi = {10.14778/2824032.2824057},
        url = {https://doi.org/10.14778/2824032.2824057},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers