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

被引:12
|
作者
Zhang, Guiming [1 ]
Zhu, A-Xing [1 ,2 ,3 ,4 ,5 ]
Huang, Zhi-Pang [6 ,7 ]
Ren, Guopeng [6 ]
Qin, Cheng-Zhi [4 ,5 ]
Xiao, Wen [6 ,7 ]
机构
[1] Univ Wisconsin Madison, Dept Geog, Madison, WI USA
[2] Nanjing Normal Univ, Key Lab Virtual Geog Environm, Nanjing, Jiangsu, Peoples R China
[3] Nanjing Normal Univ, State Key Lab Cultivat Base Geog Environm Evolut, Nanjing, Jiangsu, Peoples R China
[4] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
[5] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
[6] Dali Univ, Inst Eastern Himalaya Biodivers Res, 2 Daligucheng Hongsheng Rd, Dali 671003, Peoples R China
[7] Collaborat Innovat Ctr Biodivers & Conservat Thre, Dali, Peoples R China
基金
中国国家自然科学基金;
关键词
LOCAL ECOLOGICAL KNOWLEDGE; SPECIES DISTRIBUTIONS; DISTRIBUTION MODELS; BIODIVERSITY; ABUNDANCE; ACCURACY; SCIENCE; QUALITY; SENSORS; NICHES;
D O I
10.1111/tgis.12300
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
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.
引用
收藏
页码:149 / 164
页数:16
相关论文
共 50 条
  • [1] Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information
    See, Linda
    Mooney, Peter
    Foody, Giles
    Bastin, Lucy
    Comber, Alexis
    Estima, Jacinto
    Fritz, Steffen
    Kerle, Norman
    Jiang, Bin
    Laakso, Mari
    Liu, Hai-Ying
    Milcinski, Grega
    Niksic, Matej
    Painho, Marco
    Podor, Andrea
    Olteanu-Raimond, Ana-Maria
    Rutzinger, Martin
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2016, 5 (05):
  • [2] Assessment of volunteered geographic information for vegetation mapping
    Kellie A. Uyeda
    Douglas A. Stow
    Casey H. Richart
    [J]. Environmental Monitoring and Assessment, 2020, 192
  • [3] Assessment of volunteered geographic information for vegetation mapping
    Uyeda, Kellie A.
    Stow, Douglas A.
    Richart, Casey H.
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2020, 192 (08)
  • [4] Spatial data for slum upgrading: Volunteered Geographic Information and the role of citizen science
    Hachmann, Samyra
    Arsanjani, Jamal Jokar
    Vaz, Eric
    [J]. HABITAT INTERNATIONAL, 2018, 72 : 18 - 26
  • [5] Volunteered geographic information
    Boyd, Doreen S.
    Foody, Giles M.
    [J]. GEOGRAPHY, 2014, 99 : 157 - 160
  • [6] Data Quality Assurance for Volunteered Geographic Information
    Ali, Ahmed Loai
    Schmid, Falko
    [J]. GEOGRAPHIC INFORMATION SCIENCE (GISCIENCE 2014), 2014, 8728 : 126 - 141
  • [7] Data quality assurance for volunteered geographic information
    Ali, Ahmed Loai
    Schmid, Falko
    [J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8728 : 126 - 141
  • [8] From Volunteered Geographic Information to Volunteered Geographic OLAP: A VGI Data Quality-Based Approach
    Bimonte, Sandro
    Boucelma, Omar
    Machabert, Olivier
    Sellami, Sana
    [J]. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2014, PT IV, 2014, 8582 : 69 - +
  • [9] The credibility of volunteered geographic information
    Flanagin, Andrew
    Metzger, Miriam
    [J]. GEOJOURNAL, 2008, 72 (3-4) : 137 - 148
  • [10] A brief introduction of data management for volunteered geographic information
    Li, Deren
    Qian, Xinlin
    [J]. Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University, 2010, 35 (04): : 379 - 383