Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/47978
Title: Assessing VGI Data Quality
Authors: Fonte, Cidalia Costa 
Antoniou, Vyron 
Bastin, Lucy 
Estima, Jacinto 
Arsanjani, Jamal Jokar 
Bayas, Juan-Carlos Laso 
See, Linda 
Vatseva, Rumiana 
Keywords: Spatial data quality; ISO 19157; positional accuracy; thematic accuracy; usability
Issue Date: 2017
Publisher: Ubiquity Press
Serial title, monograph or event: Mapping and the Citizen Sensor
Place of publication or event: London
Abstract: 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. Tese 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.
URI: http://hdl.handle.net/10316/47978
DOI: 10.5334/bbf.g
Rights: openAccess
Appears in Collections:I&D INESCC - Livros e Capítulos de Livros

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