Cargando…

Computational Movement Analysis

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 understand...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Laube, Patrick (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:SpringerBriefs in Computer Science,
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-319-10268-9
003 DE-He213
005 20220118235404.0
007 cr nn 008mamaa
008 140902s2014 sz | s |||| 0|eng d
020 |a 9783319102689  |9 978-3-319-10268-9 
024 7 |a 10.1007/978-3-319-10268-9  |2 doi 
050 4 |a QA76.9.D343 
072 7 |a UNF  |2 bicssc 
072 7 |a UYQE  |2 bicssc 
072 7 |a COM021030  |2 bisacsh 
072 7 |a UNF  |2 thema 
072 7 |a UYQE  |2 thema 
082 0 4 |a 006.312  |2 23 
100 1 |a Laube, Patrick.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Computational Movement Analysis  |h [electronic resource] /  |c by Patrick Laube. 
250 |a 1st ed. 2014. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2014. 
300 |a XIII, 87 p. 22 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Computer Science,  |x 2191-5776 
505 0 |a Introduction -- Movement spaces and movement traces -- Movement mining -- Decentralized movement analysis -- Grand challenges in Computational Movement Analysis. 
520 |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. 
650 0 |a Data mining. 
650 0 |a Geographic information systems. 
650 0 |a Regional economics. 
650 0 |a Spatial economics. 
650 0 |a Transportation engineering. 
650 0 |a Traffic engineering. 
650 1 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Geographical Information System. 
650 2 4 |a Regional and Spatial Economics. 
650 2 4 |a Transportation Technology and Traffic Engineering. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319102696 
776 0 8 |i Printed edition:  |z 9783319102672 
830 0 |a SpringerBriefs in Computer Science,  |x 2191-5776 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-319-10268-9  |z Texto Completo 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710)