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文章基本信息

  • 标题:The Impact of Contributor Confidence, Expertise and Distance on the Crowdsourced Land Cover Data Quality
  • 本地全文:下载
  • 作者:Alexis COMBER ; Linda SEE ; Steffen FRITZ
  • 期刊名称:GI_FORUM - Journal for Geographic Information Science
  • 电子版ISSN:2308-1708
  • 出版年度:2014
  • 页码:309-313
  • DOI:10.1553/giscience2014s309
  • 出版社:ÖAW Verlag, Wien
  • 摘要:There is much interest in the opportunities for formal scientific investigations afforded bycrowdsourcing and citizen sensing activities. However, one of the critical research issuesrelates to the ‘quality’ of the data collected in this way. This paper uses volunteer data onland cover collected under the Geo-Wiki system, where contributors label the land coverclass at a series of locations, with expert labels at the same locations. It examines thestatistical relationships between the accuracy of volunteer labels, their self assessedconfidence in labelling, their ‘experiential distance’ to the location under consideration andthe level of their domain expertise. The results show that distance has a minor effect on thereliability of land cover labelling, and that generally expertise has a greater effect, but notfor all land cover classes.
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