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Understanding movement data quality

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


Journal of location based services 10 (2016), Nr.1, S.31-46
ISSN: 1748-9725
ISSN: 1748-9733
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.