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Computational movement analysis


Gudmundsson, Joachim; Laube, Patrick; Wolle, Thomas (2012). Computational movement analysis. In: Kresse, Wolfgang; Danko, David M. Springer Handbook of Geographic Information. Dordrecht: Springer, 725-741.

Abstract

Recent advances in tracking technologies result in geographic information representing the movement of individuals at previously unseen spatial and temporal granularities. This new, inherently spatiotemporal, kind of geographic information offers new insights into dynamic geographic processes but also challenges the traditionally rather static spatial analysis toolbox. This chapter presents an introductory overview to movement data in general, the theory for modeling and analyzing movement, as well as a set of key application fields of movement analysis. Finally, the chapter addresses privacy concerns relevant to the analysis of human movement.

Abstract

Recent advances in tracking technologies result in geographic information representing the movement of individuals at previously unseen spatial and temporal granularities. This new, inherently spatiotemporal, kind of geographic information offers new insights into dynamic geographic processes but also challenges the traditionally rather static spatial analysis toolbox. This chapter presents an introductory overview to movement data in general, the theory for modeling and analyzing movement, as well as a set of key application fields of movement analysis. Finally, the chapter addresses privacy concerns relevant to the analysis of human movement.

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Additional indexing

Item Type:Book Section, not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2012
Deposited On:21 Feb 2013 09:01
Last Modified:05 Apr 2016 16:34
Publisher:Springer
ISBN:978-3-540-72678-4

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