Understanding movement data quality. (2nd January 2016)

• Record Type: Journal Article
• Authors: Andrienko, Gennady; Andrienko, Natalia; Fuchs, Georg
• Is Part Of: Journal of location based services. Volume 10:Number 1(2016)
• Page Start: 31
• Page End: 46
• Publication Date: 2016-01-02
• Subjects: Movement data -- data quality -- visual analytics; Mobile computing -- Periodicals; Multimedia systems -- Periodicals; Local area networks (Computer networks) -- Periodicals; Wireless communication systems -- Periodicals; 004.68
• DOI: 10.1080/17489725.2016.1169322
• Languages: English
• ISSNs: 1748-9725

Abstract

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.