Quality assessment of OpenStreetMap data using trajectory mining

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Quality assessment of OpenStreetMap data using trajectory mining

OpenStreetMap (OSM) data are widely used but their reliability is still variable. Many contributors to OSM have not been trained in geography or surveying and consequently their contributions, including geometry and attribute data inserts, deletions, and updates, can be inaccurate, incomplete, incon...

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Bibliographic Details
Main Authors:	Basiri, Anahid, Jackson, Mike, Amirian, Pouria, Pourabdollah, Amir, Sester, Monika, Winstanley, Adam, Moore, Terry, Zhang, Lijuan
Format:	Article
Published:	Taylor & Francis 2016
Subjects:	Spatial data quality; OpenStreetMap (OSM); trajectory data mining
Online Access:	https://eprints.nottingham.ac.uk/33132/

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