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|a 9783319102689
|9 978-3-319-10268-9
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|a 10.1007/978-3-319-10268-9
|2 doi
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|a 006.312
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|a Laube, Patrick.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Computational Movement Analysis
|h [electronic resource] /
|c by Patrick Laube.
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|a 1st ed. 2014.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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|a XIII, 87 p. 22 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a SpringerBriefs in Computer Science,
|x 2191-5776
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|a Introduction -- Movement spaces and movement traces -- Movement mining -- Decentralized movement analysis -- Grand challenges in Computational Movement Analysis.
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|a 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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|a Data mining.
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|a Geographic information systems.
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|a Regional economics.
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|a Spatial economics.
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|a Transportation engineering.
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|a Traffic engineering.
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|a Data Mining and Knowledge Discovery.
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|a Geographical Information System.
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|a Regional and Spatial Economics.
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|a Transportation Technology and Traffic Engineering.
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319102696
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|i Printed edition:
|z 9783319102672
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|a SpringerBriefs in Computer Science,
|x 2191-5776
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|u https://doi.uam.elogim.com/10.1007/978-3-319-10268-9
|z Texto Completo
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|a ZDB-2-SCS
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|a ZDB-2-SXCS
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|a Computer Science (SpringerNature-11645)
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|a Computer Science (R0) (SpringerNature-43710)
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