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ISPRS Int. J. Geo-Inf. 2013, 2(2), 507-530; doi:10.3390/ijgi2020507

Assessing Completeness and Spatial Error of Features in Volunteered Geographic Information

1,* , 1
Received: 28 March 2013 / Revised: 14 May 2013 / Accepted: 20 May 2013 / Published: 4 June 2013
(This article belongs to the Special Issue Collaborative Mapping)
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The assessment of the quality and accuracy of Volunteered Geographic Information (VGI) contributions, and by extension the ultimate utility of VGI data has fostered much debate within the geographic community. The limited research to date has been focused on VGI data of linear features and has shown that the error in the data is heterogeneously distributed. Some have argued that data produced by numerous contributors will produce a more accurate product than an individual and some research on crowd-sourced initiatives has shown that to be true, although research on VGI is more infrequent. This paper proposes a method for quantifying the completeness and accuracy of a select subset of infrastructure-associated point datasets of volunteered geographic data within a major metropolitan area using a national geospatial dataset as the reference benchmark with two datasets from volunteers used as test datasets. The results of this study illustrate the benefits of including quality control in the collection process for volunteered data.
Keywords: volunteered geographic information (VGI); OpenStreetMap; quality; error; point volunteered geographic information (VGI); OpenStreetMap; quality; error; point
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Jackson, S.P.; Mullen, W.; Agouris, P.; Crooks, A.; Croitoru, A.; Stefanidis, A. Assessing Completeness and Spatial Error of Features in Volunteered Geographic Information. ISPRS Int. J. Geo-Inf. 2013, 2, 507-530.

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ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert