The impact of contributor confidence, expertise and distance on the crowdsourced land cover data quality

Comber A, See L, & Fritz S (2014). The impact of contributor confidence, expertise and distance on the crowdsourced land cover data quality. In: Proceedings, GI_Forum 2014- Geospatial Innovation for Society, 1-4 July 2014.

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Abstract

There is much interest in the opportunities for formal scientific investigations afforded by crowdsourcing and citizen sensing activities. However, one of the critical research issues relates to the 'quality' of the data collected in this way. This paper uses volunteer data on land cover collected under the Geo-Wiki system, where contributors label the land cover class at a series of locations, with expert labels at the same locations. It examines the statistical relationships between the accuracy of volunteer labels, their self assessed confidence in labeling, their 'experiential distance' to the location under consideration and the level of their domain expertise. The results show that distance has a minor effect on the reliability of land cover labeling, and that generally expertise has a greater effect, but not for all landcover classes.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Research Programs: Ecosystems Services and Management (ESM)
Bibliographic Reference: In: R.Vogler, A. Car, J. Strobl, and G. Griesebner (Eds.); Proceedings, GI_Forum 2014- Geospatial Innovation for Society; 1-4 July 2014, Salzburg, Austria pp.309-313 (2014)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:52
Last Modified: 20 Jan 2016 16:49
URI: http://pure.iiasa.ac.at/11235

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