Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/47978
DC FieldValueLanguage
dc.contributor.authorFonte, Cidalia Costa-
dc.contributor.authorAntoniou, Vyron-
dc.contributor.authorBastin, Lucy-
dc.contributor.authorEstima, Jacinto-
dc.contributor.authorArsanjani, Jamal Jokar-
dc.contributor.authorBayas, Juan-Carlos Laso-
dc.contributor.authorSee, Linda-
dc.contributor.authorVatseva, Rumiana-
dc.date.accessioned2018-03-14T19:42:04Z-
dc.date.available2018-03-14T19:42:04Z-
dc.date.issued2017-
dc.identifier.urihttps://hdl.handle.net/10316/47978-
dc.description.abstractUncertainty 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.por
dc.description.sponsorshipCOST action TD1202 (Mapping and the Citizen Sensor)por
dc.language.isoengpor
dc.publisherUbiquity Presspor
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectSpatial data qualitypor
dc.subjectISO 19157por
dc.subjectpositional accuracypor
dc.subjectthematic accuracypor
dc.subjectusabilitypor
dc.titleAssessing VGI Data Qualitypor
dc.typebookPartpor
degois.publication.firstPage137por
degois.publication.lastPage163por
degois.publication.locationLondonpor
degois.publication.titleMapping and the Citizen Sensorpor
dc.relation.publisherversionhttps://doi.org/10.5334/bbf.gpor
dc.peerreviewedyespor
dc.identifier.doi10.5334/bbf.g-
item.grantfulltextopen-
item.fulltextCom Texto completo-
item.openairetypebookPart-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.deptFaculty of Sciences and Technology-
crisitem.author.parentdeptUniversity of Coimbra-
crisitem.author.researchunitINESC Coimbra – Institute for Systems Engineering and Computers at Coimbra-
crisitem.author.researchunitCISUC - Centre for Informatics and Systems of the University of Coimbra-
crisitem.author.parentresearchunitFaculty of Sciences and Technology-
crisitem.author.orcid0000-0001-9408-8100-
crisitem.author.orcid0000-0001-8837-4637-
Appears in Collections:I&D INESCC - Livros e Capítulos de Livros
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This item is licensed under a Creative Commons License Creative Commons