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Crowdsourced geospatial data quality: challenges and future directions

Basiri, A; Muki, H; Giles, F; Peter, M; (2019) Crowdsourced geospatial data quality: challenges and future directions. International Journal of Geographical Information Science , 33 (8) pp. 1588-1593. 10.1080/13658816.2019.1593422. Green open access

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Type: Article
Title: Crowdsourced geospatial data quality: challenges and future directions
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/13658816.2019.1593422
Publisher version: https://doi.org/10.1080/13658816.2019.1593422
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography
URI: https://discovery.ucl.ac.uk/id/eprint/10074777
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