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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	September 2014
Genre:	EDV / Informatik
	C / computer science / Data Mining and Knowledge Discovery / Expert systems / knowledge-based systems / Geographic information systems / Geographical Information System / Geographical information systems and remote sensing / Geographical Information Systems/Cartography / Highway and traffic engineering / Political Economy / Regional / International studies / Regional and Spatial Economics / regional economics / Regional/Spatial Science / Spatial economics / Traffic engineering / Transportation / Transportation engineering / Transportation Technology and Traffic Engineering mehr...
ISBN:	9783319102672
EAN-Code:	9783319102672
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 7 mm
Gewicht:	180 gr
Seiten:	100
Illustration:	XIII, 87 p. 22 illus., schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.