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Understanding movement data quality

Andrienko, G., Andrienko, N. and Fuchs, G. (2016). Understanding movement data quality. Journal of Location Based Services, 10(1), pp. 31-46. doi: 10.1080/17489725.2016.1169322

Abstract

© 2016 Informa UK Limited, trading as Taylor & Francis Group. Understanding of data quality is essential for choosing suitable analysis methods and interpreting their results. Investigation of quality of movement data, due to their spatio-temporal nature, requires consideration from multiple perspectives at different scales. We review the key properties of movement data and, on their basis, create a typology of possible data quality problems and suggest approaches to identify these types of problems.

Publication Type: Article
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis in 'Journal of Location Based Services' on 22 April 2016, available online: http://www.tandfonline.com/10.1080/17489725.2016.1169322.
Publisher Keywords: Movement data; data quality; visual analytics.
Subjects: Q Science > QA Mathematics
Departments: School of Mathematics, Computer Science & Engineering > Computer Science
URI: http://openaccess.city.ac.uk/id/eprint/14725
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