EAN: 9783319102672

SPRINGERBRIEFS IN COMPUTER SCIENCE COMPUTATIO...

This SpringerBrief discusses the characteristics of spatiotemporal movement data  including
uncertainty and scale. It investigates three core aspects of Computational Movement Analysis:
Conceptual modeling of movement and movement spaces  spatiotemporal analysis methods aiming at
a better understanding of movement processes (with a focus on data mining for movement
patterns)  and using decentralized spatial computing methods in movement analysis. The author
presents Computational Movement Analysis as an interdisciplinary umbrella for analyzing
movement processes with methods from a range of fields including GIScience  spatiotemporal
databases and data mining. Key challenges in Computational Movement Analysis include bridging
the semantic gap  privacy issues when movement data involves people  incorporating big and open
data  and opportunities for decentralized movement analysis arising from the internet of
things. The interdisciplinary concepts of Computational Movement Analysis make this an
important book for professionals and students in computer science  geographic information
science and its application areas  especially movement ecology and transportation research.

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