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Computational Movement Analysis / by Patrick Laube.
- Format:
- Book
- Author/Creator:
- Laube, Patrick, author.
- Series:
- Computer Science (Springer-11645)
- SpringerBriefs in computer science 2191-5768
- SpringerBriefs in Computer Science, 2191-5768
- Language:
- English
- Subjects (All):
- Data mining.
- Geographic information systems.
- Regional economics.
- Space in economics.
- Transportation.
- Data Mining and Knowledge Discovery.
- Geographical Information Systems/Cartography.
- Regional/Spatial Science.
- Local Subjects:
- Data Mining and Knowledge Discovery.
- Geographical Information Systems/Cartography.
- Regional/Spatial Science.
- Transportation.
- Physical Description:
- 1 online resource (XIII, 87 pages) : 22 illustrations.
- Edition:
- First edition 2014.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2014.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- Introduction
- Movement spaces and movement traces
- Movement mining
- Decentralized movement analysis
- Grand challenges in Computational Movement Analysis.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-10268-9
- 9783319102689
- Access Restriction:
- Restricted for use by site license.
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