Browse by author
Lookup NU author(s): Kealeboga Moreri, Dr David Fairbairn, Professor Philip James
This is the authors' accepted manuscript of an article that has been published in its final definitive form by Taylor and Francis, 2018.
For re-use rights please refer to the publisher's terms and conditions.
This article presents an innovative approach to establish the quality and credibility of Volunteered Geographic Information (VGI) such that it can be considered in Land Administration Systems (LAS) on a Fit for Purpose (FFP) basis. A participatory land information system can provide affordable and timely FFP information about land and its resources. However, the establishment of such a system involves more than just technical solutions and administrative procedures: many social, economic and political aspects must be considered. Innovative approaches like VGI can help address the lack of accurate, reliable and FFP land information for LAS, but integration of such sources relies on the quality and credibility of VGI. Verifying volunteer efforts can be difficult without reference to ground truth: a novel Trust and Reputation Modelling methodology is proposed as a suitable technique to effect such VGI data set validation. This method has been applied to successfully demonstrate that VGI can produce accurate and reliable data sets which can be used to conduct regular systematic updates of geographic information in official systems. It relies on a view that the public can police themselves in establishing proxy measures of VGI quality thus facilitating VGI to be used on a FFP basis in LAS.
Author(s): Moreri K, Fairbairn D, James P
Publication type: Article
Publication status: Published
Journal: International Journal of Geographical Information Science
Year: 2018
Volume: 32
Issue: 5
Pages: 931-959
Online publication date: 25/01/2018
Acceptance date: 21/11/2017
Date deposited: 10/04/2018
ISSN (print): 1365-8816
ISSN (electronic): 1362-3087
Publisher: Taylor and Francis
URL: https://doi.org/10.1080/13658816.2017.1409353
DOI: 10.1080/13658816.2017.1409353
Altmetrics provided by Altmetric
