Thomason, Alasdair, Griffiths, Nathan and Sanchez Silva, Victor (2016) Identifying locations from geospatial trajectories. Journal of Computer and System Sciences, 82 (4). pp. 566-581. doi:10.1016/j.jcss.2015.10.005

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Abstract

Harnessing the latent knowledge present in geospatial trajectories allows for the potential to revolutionise our understanding of behaviour. This paper discusses one component of such analysis, namely the extraction of significant locations. Specifically, we: (i) present the Gradient-based Visit Extractor (GVE) algorithm capable of extracting periods of low mobility from geospatial data, while maintaining resilience to noise, and addressing the drawbacks of existing techniques, (ii) provide a comprehensive analysis of the properties of these visits and consequent locations, extracted through clustering, and (iii) demonstrate the applicability of GVE to the problem of visit extraction with respect to representative use-cases.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH):	Geospatial data , Cell phones , Wireless localization
Journal or Publication Title:	Journal of Computer and System Sciences
Publisher:	Academic Press
ISSN:	0022-0000
Official Date:	June 2016
Dates:	Date Event June 2016 Published 30 November 2015 Available 28 October 2015 Accepted 5 March 2015 Submitted
Volume:	82
Number:	4
Page Range:	pp. 566-581
DOI:	10.1016/j.jcss.2015.10.005
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access

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