Understanding movement data quality

Authors: Andrienko G, Andrienko N, Fuchs G
Title: Understanding movement data quality

AbstractUnderstanding 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.

Journal: Journal of Location Based Services
Volume: 10
Pages: 31-46
Year: 2016