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Título: | Assessing VGI Data Quality | Autor: | Fonte, Cidalia Costa Antoniou, Vyron Bastin, Lucy Estima, Jacinto Arsanjani, Jamal Jokar Bayas, Juan-Carlos Laso See, Linda Vatseva, Rumiana |
Palavras-chave: | Spatial data quality; ISO 19157; positional accuracy; thematic accuracy; usability | Data: | 2017 | Editora: | Ubiquity Press | Título da revista, periódico, livro ou evento: | Mapping and the Citizen Sensor | Local de edição ou do evento: | London | Resumo: | 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: | https://hdl.handle.net/10316/47978 | DOI: | 10.5334/bbf.g | Direitos: | openAccess |
Aparece nas coleções: | I&D INESCC - Livros e Capítulos de Livros |
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Ficheiro | Descrição | Tamanho | Formato | |
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Chapter 7_assessing-vgi-data-quality.pdf | 325.86 kB | Adobe PDF | Ver/Abrir |
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