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Validating VGI Data Quality in Local Crowdsourced Accessibility Mapping Applications: a George Mason University Case Study

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dc.contributor.advisor Rice, Matthew T
dc.contributor.author Rice, Rebecca M
dc.creator Rice, Rebecca M
dc.date 2015-07-31
dc.date.accessioned 2017-01-26T22:11:41Z
dc.date.available 2017-01-26T22:11:41Z
dc.date.issued 2017-01-26
dc.identifier.uri https://hdl.handle.net/1920/10522
dc.description.abstract As Volunteered Geographic Information (VGI) and other crowdsourcing techniques gain credibility as acceptable methods of data capture in situations where data is needed quickly, it is important to address the nature of uncertainty associated with these sources of data. This uncertainty includes the quality of data obtained from VGI contributors and the techniques used to ensure data quality. This thesis presents a method for assessing data quality in VGI applications based on the George Mason University Geocrowdsourcing Testbed, a web-based obstacle reporting application used to aid pedestrian navigation for the mobility and/or visually impaired. Quality assurance of geocrowdsourced data, especially the validation of position, is critical when the use is for routing handicapped pedestrians and wheelchair users. Implementation of the quality assessment methods includes the use of moderators to identify and fix errors in usergenerated data. This thesis addresses whether these techniques are consistent with
dc.language.iso en en_US
dc.title Validating VGI Data Quality in Local Crowdsourced Accessibility Mapping Applications: a George Mason University Case Study en_US
dc.type thesis en_US
thesis.degree.name Master of Science in Geographic and Cartographic Science en_US
thesis.degree.level master's en_US
thesis.degree.discipline Geographic and Cartographic Science en_US
thesis.degree.grantor George Mason University en_US


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