Understanding Movement Data Quality
| Main Authors: | Andrienko, Gennady, Andrienko, Natalia, Fuchs, Georg |
|---|---|
| Format: | Article Journal |
| Terbitan: |
, 2016
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/853253 |
Daftar Isi:
- 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.