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Titlebook: Computational Movement Analysis; Patrick Laube Book 2014 The Author(s) 2014 Data mining.Decentralized spatial computing.Geographic informa

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Grand Challenges in Computational Movement Analysis, 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.
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Movement Mining,tualization and formalization of movement patterns and the development of algorithms for their detection, the computing of trajectory similarity, and methods for visualization-based exploratory analysis of movement data
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Superconducting Field-Effect Devices,ralized but collaborative way. This chapter illustrates decentralized spatial analysis concepts for the CMA tasks of monitoring network flow in transportation systems, movement pattern mining, point clustering, and privacy-aware location-based services.
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