000 03125nam a22005415i 4500
001 978-3-319-10268-9
003 DE-He213
005 20200421112235.0
007 cr nn 008mamaa
008 140902s2014 gw | s |||| 0|eng d
020 _a9783319102689
_9978-3-319-10268-9
024 7 _a10.1007/978-3-319-10268-9
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
082 0 4 _a006.312
_223
100 1 _aLaube, Patrick.
_eauthor.
245 1 0 _aComputational Movement Analysis
_h[electronic resource] /
_cby Patrick Laube.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXIII, 87 p. 22 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Computer Science,
_x2191-5768
505 0 _aIntroduction -- Movement spaces and movement traces -- Movement mining -- Decentralized movement analysis -- Grand challenges in Computational Movement Analysis.
520 _aThis 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 _aComputer science.
650 0 _aTransportation.
650 0 _aData mining.
650 0 _aGeographical information systems.
650 0 _aRegional economics.
650 0 _aSpatial economics.
650 1 4 _aComputer Science.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aGeographical Information Systems/Cartography.
650 2 4 _aRegional/Spatial Science.
650 2 4 _aTransportation.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319102672
830 0 _aSpringerBriefs in Computer Science,
_x2191-5768
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-10268-9
912 _aZDB-2-SCS
942 _cEBK
999 _c58220
_d58220