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Spatial Crowdsourcing: Challenges, Techniques, and Applications

Summary: Survey of spatial crowdsourcing (SC) highlighting spatio-temporal data challenges in task assignment, quality control, incentive design, and privacy. Emphasizes integrating SC with spatial data processing, with case studies and open questions for scalable, privacy-preserving, incentive-compatible platforms. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11504
Venue
VLDB
Year
2017
Pagerank
4.1945683e-05
Overall Rank
11,814 | 17.82%
DOI
-

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