000 | 03125nam a22005415i 4500 | ||
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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 |
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024 | 7 |
_a10.1007/978-3-319-10268-9 _2doi |
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050 | 4 | _aQA76.9.D343 | |
072 | 7 |
_aUNF _2bicssc |
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072 | 7 |
_aUYQE _2bicssc |
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072 | 7 |
_aCOM021030 _2bisacsh |
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082 | 0 | 4 |
_a006.312 _223 |
100 | 1 |
_aLaube, Patrick. _eauthor. |
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245 | 1 | 0 |
_aComputational Movement Analysis _h[electronic resource] / _cby Patrick Laube. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014. |
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300 |
_aXIII, 87 p. 22 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Computer Science, _x2191-5768 |
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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 |