Assessing the Accuracy of Volunteered Geographic Information arising from Multiple Contributors to an Internet Based Collaborative Project-Reference-Cited by-同舟云学术

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Assessing the Accuracy of Volunteered Geographic Information arising from Multiple Contributors to an Internet Based Collaborative Project

Published:2013-05-22 Issue:6 Volume:17 Page:847-860
ISSN:1361-1682
Container-title:Transactions in GIS
language:en
Short-container-title:Transactions in GIS

Author:

Foody G. M.¹,See L.²,Fritz S.²,Van der Velde M.²,Perger C.³,Schill C.⁴,Boyd D. S.¹

Affiliation:

1. School of Geography; University of Nottingham

2. International Institute of Applied Systems Analysis (IIASA); Austria

3. International Institute of Applied Systems Analysis (IIASA); University of Applied Sciences; Wiener Neustadt

4. University of Freiburg

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/tgis.12033/fullpdf

Reference44 articles.

1. VGI in Cadastre: A Greek experiment to investigate the potential of crowdsourcing techniques in cadastral mapping;Basiouka;Survey Review,2012

2. The myth of amateur crowds: A critical discourse analysis of crowdsourcing coverage;Brabham;Information Communications and Society,2012

3. Briassoulis H 2003 Land use changes and global aggregate impacts EOLSS (Online UNESCO Encyclopedia of Life Support Systems) http://www.eolss.net/

4. A coefficient of agreement for nominal scales;Cohen;Educational and Psychological Measurement,1960

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2. Citizen Science and the Remote Sensing of Land Cover;Reference Module in Earth Systems and Environmental Sciences;2023

3. Evaluation of the quality of the Voluntary Geographic Information for the road network in Bogotá D.C;Cuadernos de Investigación Geográfica;2022-08-25

4. Quality assessment of volunteered geographic information for outdoor activities: an analysis of OpenStreetMap data for names of peaks in Japan;Geo-spatial Information Science;2022-07-01

5. Optimizing Crowdsourced Land Use and Land Cover Data Collection: A Two-Stage Approach;Land;2022-06-21

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