- Accepted Version
Restricted to Repository staff only until 22 April 2017.
Download (1MB) | Request a copy
© 2016 Informa UK Limited, trading as Taylor & Francis Group. 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.
|Additional Information:||This is an Accepted Manuscript of an article published by Taylor & Francis in 'Journal of Location Based Services' on 22 April 2016, available online: http://www.tandfonline.com/10.1080/17489725.2016.1169322.|
|Uncontrolled Keywords:||Movement data; data quality; visual analytics.|
|Subjects:||Q Science > QA Mathematics|
|Divisions:||School of Informatics > Department of Computing|
Actions (login required)
Downloads per month over past year