Assessing Data Completeness in OpenStreetMap using the Geometrical and Temporal Properties of Mapping Patterns

Room: Martinique

Sunday, 11:15
Duration: 20 minutes (plus Q&A)

Language: en


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  • Eliya Levin

This study introduces a novel intrinsic completeness metric for OpenStreetMap data, based on the temporal evolution of mean feature geometry, requiring only aggregate feature statistics and no external reference. The results currently depict an exploratory phase and show the method to be robust, computationally simple and potentially universally applicable, albeit still restrictive.