Sample size and spatial configuration of volunteered geographic information affect effectiveness of spatial bias mitigation

doi:10.1111/tgis.12679

	Sample size and spatial configuration of volunteered geographic information affect effectiveness of spatial bias mitigation
	Zhang, Guiming 3; Zhu, A-Xing 1,2,4,5
刊名	TRANSACTIONS IN GIS
	2020-08-17
页码	26
ISSN号	1361-1682
DOI	10.1111/tgis.12679
通讯作者	Zhang, Guiming(guiming.zhang@du.edu)
英文摘要	Volunteered geographic information (VGI) can provide field samples for predictively mapping geographic phenomena. Yet the biased spatial coverage of VGI observations often undermines the fitness of use of VGI samples for predictive mapping. Although methods have been developed to mitigate spatial bias in VGI samples to improve predictive model performance, there exist limited investigations into the impacts of VGI sample size and spatial distribution characteristics on the effectiveness of the methods. This article presents an empirical evaluation on how the two factors affect the effectiveness of bias mitigation methods with a case study of mapping habitat suitability of the red-tailed hawk (Buteo jamaicensis) using eBird data. Results reveal positive correlations between model performance improvement and sample size, given samples of similar spatial configuration. VGI samples with more spread-out spatial coverage (i.e., more representative) are more amenable to bias mitigation. However, performance improvement plateaued beyond a certain sample size and sample representativeness thresholds.
WOS关键词	SELECTION BIAS ; SPECIES DISTRIBUTIONS ; HABITAT SUITABILITY ; DISTRIBUTION MODELS ; CITIZEN SCIENCE ; REPRESENTATIVENESS ; INFERENCE ; IMPROVE ; DESIGN ; VGI
WOS研究方向	Geography
语种	英语
出版者	WILEY
WOS记录号	WOS:000560921300001
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/158006]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Guiming
作者单位	1.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 3.Univ Denver, Dept Geog & Environm, Denver, CO 80208 USA 4.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA 5.Nanjing Normal Univ, Sch Geog, Nanjing, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Guiming,Zhu, A-Xing. Sample size and spatial configuration of volunteered geographic information affect effectiveness of spatial bias mitigation[J]. TRANSACTIONS IN GIS,2020:26.
APA	Zhang, Guiming,&Zhu, A-Xing.(2020).Sample size and spatial configuration of volunteered geographic information affect effectiveness of spatial bias mitigation.TRANSACTIONS IN GIS,26.
MLA	Zhang, Guiming,et al."Sample size and spatial configuration of volunteered geographic information affect effectiveness of spatial bias mitigation".TRANSACTIONS IN GIS (2020):26.