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Computational Movement Analysis
Patrick Laube
€ 75.29
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Description for Computational Movement Analysis
paperback. Series: SpringerBriefs in Computer Science. Num Pages: 100 pages, 22 black & white illustrations, 6 black & white tables, biography. BIC Classification: KCP; RGW; THRB; UNF. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 6. Weight in Grams: 174.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer Switzerland
Number of pages
100
Condition
New
Series
SpringerBriefs in Computer Science
Number of Pages
87
Place of Publication
Cham, Switzerland
ISBN
9783319102672
SKU
V9783319102672
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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