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Validity of historical volunteered geographic information: Evaluating citizen data for mapping historical geographic phenomena

文献类型：期刊论文

作者Zhang, Guiming3; Zhu, A-Xing1,3,4,5,6; Huang, Zhi-Pang2,7; Ren, Guopeng7; Qin, Cheng-Zhi1,6; Xiao, Wen2,7
刊名TRANSACTIONS IN GIS
出版日期2018-02-01
卷号22期号:1页码:149-164
ISSN号1361-1682
DOI10.1111/tgis.12300
通讯作者Zhu, A-Xing(azhu@wisc.edu) ; Xiao, Wen(xiaow@eastern-himalaya.cn)
英文摘要Studies on volunteered geographic information (VGI) have focused on examining its validity to reveal geographic phenomena in relatively recent periods. Empirical evaluation of the validity of VGI to reveal geographic phenomena in historical periods (e.g., decades ago) is lacking, although such evaluation is desirable for assessing the possibility of broadening the temporal scope of VGI applications. This article presents an evaluation of the validity of VGI to reveal historical geographic phenomena through a citizen data-based habitat suitability mapping case study. Citizen data (i.e., sightings) of the black-and-white snub-nosed monkey (Rhinopithecus bieti) were elicited from local residents through three-dimensional (3D) geovisualization interviews in Yunnan, China. The validity of the elicited sightings to reveal the historical R. bieti distribution was evaluated through habitat suitability mapping using the citizen data in historical periods. The results of controlled experiments demonstrated that suitability maps predicted using the historical citizen data had a consistent spatial pattern (correlation above 0.60) that reflects the R. bieti distribution (Boyce index around 0.90) in areas free of significant environmental change across historical periods. This in turn suggests that citizen data have validity for mapping historical geographic phenomena. It provides supporting empirical evidence for potentially broadening the temporal scope of VGI applications.
WOS关键词SPECIES DISTRIBUTION MODELS ; LOCAL ECOLOGICAL KNOWLEDGE ; SCIENTIFIC-KNOWLEDGE ; RHINOPITHECUS-BIETI ; DISTRIBUTIONS ; BIODIVERSITY ; ABUNDANCE ; SCIENCE ; NICHES ; ACCURACY
资助项目National Natural Science Foundation of China[41431177] ; National Natural Science Foundation of China[31560118] ; National Natural Science Foundation of China[30960085] ; National Basic Research Program of China[2015CB954102] ; Natural Science Research Program of Jiangsu[14KJA170001] ; PAPD ; National Key Technology Innovation Project for Water Pollution Control and Remediation[2013ZX07103006]
WOS研究方向Geography
语种英语
出版者WILEY
WOS记录号WOS:000425596600008
资助机构National Natural Science Foundation of China ; National Basic Research Program of China ; Natural Science Research Program of Jiangsu ; PAPD ; National Key Technology Innovation Project for Water Pollution Control and Remediation
源URL[http://ir.igsnrr.ac.cn/handle/311030/57008]  
专题中国科学院地理科学与资源研究所
通讯作者Zhu, A-Xing; Xiao, Wen
作者单位1.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
2.Collaborat Innovat Ctr Biodivers & Conservat Thre, Dali, Peoples R China
3.Univ Wisconsin Madison, Dept Geog, Madison, WI USA
4.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Nanjing, Jiangsu, Peoples R China
5.Nanjing Normal Univ, State Key Lab Cultivat Base Geog Environm Evolut, Nanjing, Jiangsu, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
7.Dali Univ, Inst Eastern Himalaya Biodivers Res, 2 Daligucheng Hongsheng Rd, Dali 671003, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Guiming,Zhu, A-Xing,Huang, Zhi-Pang,et al. Validity of historical volunteered geographic information: Evaluating citizen data for mapping historical geographic phenomena[J]. TRANSACTIONS IN GIS,2018,22(1):149-164.
APA Zhang, Guiming,Zhu, A-Xing,Huang, Zhi-Pang,Ren, Guopeng,Qin, Cheng-Zhi,&Xiao, Wen.(2018).Validity of historical volunteered geographic information: Evaluating citizen data for mapping historical geographic phenomena.TRANSACTIONS IN GIS,22(1),149-164.
MLA Zhang, Guiming,et al."Validity of historical volunteered geographic information: Evaluating citizen data for mapping historical geographic phenomena".TRANSACTIONS IN GIS 22.1(2018):149-164.

入库方式： OAI收割

来源：地理科学与资源研究所

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