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Spatial Crowdsourcing: Challenges, Techniques, and Applications

Summary: Tutorial framing spatial crowdsourcing as a spatio-temporal extension of web crowdsourcing, covering task assignment, quality control, incentives, and privacy. Highlights applications and how crowdsourced data can enhance spatial data processing. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11692
Venue
VLDB
Year
2017
Pagerank
5.093636e-05
Overall Rank
12,017 | 17.56%
DOI
10.14778/3137765.3137827

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BibTeX Citation

@article{tong_vldb17,
        title = {{Spatial Crowdsourcing: Challenges, Techniques, and Applications}},
        author = {Tong, Yongxin and Chen, Lei and Shahabi, Cyrus},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {12},
        pages = {1988--1991},
        doi = {10.14778/3137765.3137827},
        url = {https://doi.org/10.14778/3137765.3137827},
        year = {2017}
}

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