Comparing expert and non-expert conceptualisations of the land: An analysis of crowdsourced land cover data

Comber, A., Brunsdon, C., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, & McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 (2013). Comparing expert and non-expert conceptualisations of the land: An analysis of crowdsourced land cover data. DOI:10.1007/978-3-319-01790-7_14. In: Spatial Information Theory: Proceedings, 11th International Conference, COSIT 2013.

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Abstract

This research compares expert and non-expert conceptualisations of land cover data collected through a Google Earth web-based interface. In so doing it seeks to determine the impacts of varying landscape conceptualisations held by different groups of VGI contributors on decisions that may be made using crowdsourced data, in this case to select the best global land cover dataset in each location. Whilst much other work has considered the quality of VGI, as yet little research has considered the impact of varying semantics and conceptualisations on the use of VGI in formal scientific analyses. This study found that conceptualisation of cropland varies between experts and non-experts. A number of areas for further research are outlined.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords:	Geo-Wiki; Geographically Weighted Kernel; Land Cover; Volunteered Geographical Information (VGI)
Research Programs:	Ecosystems Services and Management (ESM)
Bibliographic Reference:	In: T. Tenbrink, et al. (Eds); Spatial Information Theory: Proceedings, 11th International Conference, COSIT 2013; (2-6 September 2013, Scarborough, UK) Springer, Switzerland pp.243-260
Depositing User:	IIASA Import
Date Deposited:	15 Jan 2016 08:49
Last Modified:	04 Jan 2024 14:07
URI:	https://pure.iiasa.ac.at/10683

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