Computational Movement Analysis

  • Joachim GudmundssonEmail author
  • Patrick LaubeEmail author
  • Thomas WolleEmail author
Part of the Springer Handbooks book series (SHB)


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 (Sect. 22.2), the theory for modeling and analyzing movement (Sects. 22.2.1, 22.3), as well as a set of key application fields of movement analysis (Sect. 22.3). Finally, the chapter addresses privacy concerns relevant to the analysis of human movement.


Global Navigation Satellite System Global Navigation Satellite System Movement Pattern Movement Analysis Movement Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.







ambient spatial intelligence


computational transportation science


dynamic time warping


geographic information


Geographic Information System


Global Navigation Satellite System


Global Positioning System


Global System for Mobile communication


information and communication technology




Intelligent Transportation System


location-based services


longest common subsequence


multi version R-tree


native space indexing methods


parametric space indexing method


Point of Purchase


Radio Frequency Identification


spatiotemporal association rules


time parameterized R-tree


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Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  1. 1.School of Information TechnologiesUniversity of SydneySydneyAustralia
  2. 2.Department of GeographyUniversity of ZurichZurichSwitzerland
  3. 3.Arclight SydneySydneyAustralia

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