Finding popular places

Authors:
Marc Benkert;Bojan Djordjevic;Joachim Gudmundsson;Thomas Wolle
Affiliations:
Department of Computer Science, Karlsruhe University, Germany;NICTA, Sydney, Australia;NICTA, Sydney, Australia;NICTA, Sydney, Australia
Venue:
ISAAC'07 Proceedings of the 18th international conference on Algorithms and computation
Year:
2007

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Abstract

Widespread availability of location aware devices (such as GPS receivers) promotes capture of detailed movement trajectories of people, animals, vehicles and other moving objects, opening new options for a better understanding of the processes involved. We investigate spatio-temporal movement patterns in large tracking data sets. Specifically we study so-called 'popular places', that is, regions that are visited by many entities. We present upper and lower bounds.