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■ Understanding movement data quality

Link to the Publisher
Gennady Andrienko, Natalia Andrienko & Georg Fuchs (2016), Understanding movement data quality, Journal of Location Based Services, 10:1, 31-46, DOI: 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.
Bibtex Entry: @article{andrienko2016understanding,
  title={Understanding movement data quality},
  author={Andrienko, Gennady and Andrienko, Natalia and Fuchs, Georg},
  journal={Journal of location Based services},
  volume={10},
  number={1},
  pages={31--46},
  year={2016},
  publisher={Taylor \& Francis}
}