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Computational Movement Analysis
Taschenbuch von Patrick Laube
Sprache: Englisch

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Beschreibung
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.
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.
Inhaltsverzeichnis
Introduction.- Movement spaces and movement traces.- Movement mining.- Decentralized movement analysis.- Grand challenges in Computational Movement Analysis.
Details
Erscheinungsjahr: 2014
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: SpringerBriefs in Computer Science
Inhalt: xiii
87 S.
22 s/w Illustr.
87 p. 22 illus.
ISBN-13: 9783319102672
ISBN-10: 3319102672
Sprache: Englisch
Herstellernummer: 86370882
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Laube, Patrick
Hersteller: Springer International Publishing
Springer International Publishing AG
SpringerBriefs in Computer Science
Maße: 235 x 155 x 7 mm
Von/Mit: Patrick Laube
Erscheinungsdatum: 12.09.2014
Gewicht: 0,172 kg
Artikel-ID: 105196629
Inhaltsverzeichnis
Introduction.- Movement spaces and movement traces.- Movement mining.- Decentralized movement analysis.- Grand challenges in Computational Movement Analysis.
Details
Erscheinungsjahr: 2014
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: SpringerBriefs in Computer Science
Inhalt: xiii
87 S.
22 s/w Illustr.
87 p. 22 illus.
ISBN-13: 9783319102672
ISBN-10: 3319102672
Sprache: Englisch
Herstellernummer: 86370882
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Laube, Patrick
Hersteller: Springer International Publishing
Springer International Publishing AG
SpringerBriefs in Computer Science
Maße: 235 x 155 x 7 mm
Von/Mit: Patrick Laube
Erscheinungsdatum: 12.09.2014
Gewicht: 0,172 kg
Artikel-ID: 105196629
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