By Patrick Laube

This SpringerBrief discusses the features of spatiotemporal stream facts, together with uncertainty and scale. It investigates 3 middle facets of Computational flow research: Conceptual modeling of circulate and circulation areas, spatiotemporal research equipment aiming at a greater knowing of circulation methods (with a spotlight on facts mining for move patterns), and utilizing decentralized spatial computing tools in stream research. the writer offers Computational circulate research as an interdisciplinary umbrella for studying circulate tactics with tools from more than a few fields together with GIScience, spatiotemporal databases and knowledge mining. Key demanding situations in Computational stream research comprise bridging the semantic hole, privateness matters whilst circulation facts contains humans, incorporating immense and open information, and possibilities for decentralized circulation research bobbing up from the web of items. The interdisciplinary techniques of Computational move research make this an incredible booklet for pros and scholars in laptop technological know-how, geographic info technology and its program parts, particularly move ecology and transportation research.

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