全球智库信息集成服务系统(G2TT): Comparing expert and non-expert conceptualisations of the land: An analysis of crowdsourced land cover data.

G2TT

来源类型	Conference or Workshop Item (UNSPECIFIED)
规范类型	其他
	Comparing expert and non-expert conceptualisations of the land: An analysis of crowdsourced land cover data.
	Comber A; Brunsdon C; See L; Fritz S; McCallum I
发表日期	2013
出处	Spatial Information Theory: Proceedings, 11th International Conference, COSIT 2013
出版年	2013
语种	英语
摘要	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.
主题	Ecosystems Services and Management (ESM)
关键词	Geo-Wiki Geographically Weighted Kernel Land Cover Volunteered Geographical Information (VGI)
URL	http://pure.iiasa.ac.at/id/eprint/10683/
来源智库	International Institute for Applied Systems Analysis (Austria)
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/132506
推荐引用方式 GB/T 7714	Comber A,Brunsdon C,See L,et al. Comparing expert and non-expert conceptualisations of the land: An analysis of crowdsourced land cover data.. 2013.