Quality Assessment of Crowdsourced Data against Custom Recorded Map Data

Abstract

Web 2.0 has impelled crowdsourcing among Internet users. Crowdsourcing has resulted into humongous Wikification of maps, where contributors vary from commercial navigation map providers to nave users exploring cartography. As OpenStreetMap (OSM) does not enforce minimum quality model onto contributed data, therefore data is more prone to errors and incomplete coverage. Though data is espoused by various commercial applications yet it lacks standardization, completeness and needed quality. During this research a GPS and GLONASS enabled smartphone has been used to record GPS coordinates and Open Source Tool JOSM used for editing. The OSM dataset compared against ground data. The datasets analysed based on specific elements of data quality defined by ISO/TC211, such as on coverage, accuracy and completeness. The comparison suggested notable variance in the datasets analysed. Keywords: Cartography, Crowdsourcing, Geographic Information System, JOSM, Map Quality, QGIS, GPS

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