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Understanding movement data quality

: Andrienko, G.; Andrienko, N.; Fuchs, G.


Journal of location based services 10 (2016), No.1, pp.31-46
ISSN: 1748-9725
ISSN: 1748-9733
Journal Article
Fraunhofer IAIS ()

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.