Grand Challenges in Computational Movement Analysis

  • Patrick LaubeEmail author
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)


This final chapter addresses the prospect of Computational Movement Analysis (CMA) as a relatively young research field. The first decade of CMA was shaped by significant technological developments resulting in much increased availability of fine-grained movement data, an innocent and somewhat naïve enthusiasm over moving points resulting in a wide but fragmented variety of methods for movement analysis, and finally due to this lack of a unifying theory of CMA only moderate success in overcoming GIS’ and GIScience’ legacy of static cartography. The final chapter concludes this book by proposing a set of grand challenges of CMA.


Movement Data Grand Challenge Final Chapter Social Media Data Movement Ecology 
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Copyright information

© The Author(s) 2014

Authors and Affiliations

  1. 1.Institute of Natural Resource SciencesZurich University of Applied SciencesWädenswilSwitzerland

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