Understanding movement data quality
- 2 January 2016
- journal article
- research article
- Published by Taylor & Francis Ltd in Journal of Location Based Services
- Vol. 10 (1), 31-46
- https://doi.org/10.1080/17489725.2016.1169322
Abstract
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.Keywords
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