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  • Assessing VGI Data Quality

    Cidália Costa Fonte, Vyron Antoniou, Lucy Bastin, Jacinto Estima, Jamal Jokar Arsanjani, Juan-Carlos Laso Bayas, Linda See, Rumiana Vatseva

    Chapter from the book: Foody, G et al. 2017. Mapping and the Citizen Sensor.


    Uncertainty over the data quality of Volunteered Geographic Information (VGI) is the largest barrier to the use of this data source by National Mapping Agencies (NMAs) and other government bodies. A considerable body of literature exists that has examined the quality of VGI as well as proposed methods for quality assessment. The purpose of this chapter is to review current data quality indicators for geographic information as part of the ISO 19157 (2013) standard and how these have been used to evaluate the data quality of VGI in the past. These indicators include positional, thematic and temporal accuracy, completeness, logical consistency and usability. Additional indicators that have been proposed for VGI are then presented and discussed. In the final section of the chapter, the idea of integrated indicators and workflows of quality assurance that combine many assessment methods into a filtering system is highlighted as one way forward to improve confidence in VGI.

    How to cite this chapter
    Fonte, C et al. 2017. Assessing VGI Data Quality. In: Foody, G et al, Mapping and the Citizen Sensor. London: Ubiquity Press. DOI: https://doi.org/10.5334/bbf.g

    This is an Open Access chapter distributed under the terms of the Creative Commons Attribution 4.0 license (unless stated otherwise), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. Copyright is retained by the author(s).

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    Additional Information

    Published on Sept. 11, 2017


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