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  5. Crowdsourced geospatial data quality: challenges and future directions

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Article
English
2019

Crowdsourced geospatial data quality: challenges and future directions

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0 Files

English
2019
International Journal of Geographical Information Science
Vol 33 (8)
DOI: 10.1080/13658816.2019.1593422

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Giles Foody
Giles Foody

University Of Nottingham

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Anahid Basiri
Muki Haklay
Giles Foody
+1 more

Abstract

A decade ago, Volunteered Geographical Information (VGI) was identified as a new source of information that would blur the traditional boundary between producers and the consumers of data (Goodchil...

How to cite this publication

Anahid Basiri, Muki Haklay, Giles Foody, Peter Mooney (2019). Crowdsourced geospatial data quality: challenges and future directions. International Journal of Geographical Information Science, 33(8), pp. 1588-1593, DOI: 10.1080/13658816.2019.1593422.

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Publication Details

Type

Article

Year

2019

Authors

4

Datasets

0

Total Files

0

Language

English

Journal

International Journal of Geographical Information Science

DOI

10.1080/13658816.2019.1593422

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