The Era of Big Spatial Data
Summary: Survey of recent DBMS work on Big Spatial Data, highlighting core components (indexing, query processing) for scalable spatial analytics beyond generic platforms. Classifies approaches by implementation, architecture, and components; includes case studies of systems and applications to illustrate design tradeoffs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ahmed Eldawy (University of California Riverside)
- 2. Mohamed F. Mokbel (University of Minnesota)
BibTeX Citation
@article{eldawy_vldb17,
title = {{The Era of Big Spatial Data}},
author = {Eldawy, Ahmed and Mokbel, Mohamed F.},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {12},
pages = {1992--1995},
doi = {10.14778/3137765.3137811},
url = {https://doi.org/10.14778/3137765.3137811},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,773 | How Good Are Modern Spatial Analytics Systems? | 2018 | VLDB | 8.0147438e-05 |
| 4,909 | Hu-Fu: Efficient and Secure Spatial Queries over Data Federation | 2022 | VLDB | 6.3469778e-05 |
| 8,829 | SwiftSpatial: Spatial Joins on Modern Hardware | 2025 | SIGMOD | 5.2533436e-05 |
| 8,908 | Spatial Query Optimization With Learning | 2024 | VLDB | 5.2369727e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 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 |
|---|---|---|---|---|
| 1 | 2,773 | How Good Are Modern Spatial Analytics Systems? | 2018 | VLDB |
| 2 | 8,554 | High-Dimensional Index Structures: Database Support for Next Decade's Applications | 1998 | SIGMOD |
| 3 | 11,703 | High-Performance Spatial Data Analytics: Systematic R&D for Scale-Out and Scale-Up Solutions from the Past to Now | 2024 | VLDB |
| 4 | 11,093 | Hardware Acceleration for Spatial Databases: Building Next-Generation Query Engines Using Ray Tracing Cores | 2026 | VLDB |
| 5 | 8,908 | Spatial Query Optimization With Learning | 2024 | VLDB |
| 6 | 9,728 | Efficient Big Data Processing in Hadoop MapReduce | 2012 | VLDB |
| 7 | 2,866 | A Demonstration of SpatialHadoop: An Efficient MapReduce Framework for Spatial Data | 2013 | VLDB |
| 8 | 8,878 | Machine Learning Meets Big Spatial Data | 2019 | VLDB |
| 9 | 14,744 | Spatial Databases | 1992 | VLDB |
| 10 | 12,326 | Query Processing Techniques for Big Spatial-Keyword Data | 2017 | SIGMOD |