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Efficient Spatial Sampling of Large Geographical Tables

Summary: Formalizes thinning of geospatial data as an integer-programming optimization for region- and zoom-aware sampling. Proposes DFS-based maximality on a spatial tree; adds a fast randomized method for point datasets; validated on Google Maps Fusion Tables. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4523
Venue
SIGMOD
Year
2012
Pagerank
7.7809306e-05
Overall Rank
2,981 | 79.27%
DOI
-

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