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Titlebook: Computational Movement Analysis; Patrick Laube Book 2014 The Author(s) 2014 Data mining.Decentralized spatial computing.Geographic informa

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發(fā)表于 2025-3-21 16:28:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Movement Analysis
編輯Patrick Laube
視頻videohttp://file.papertrans.cn/233/232850/232850.mp4
叢書名稱SpringerBriefs in Computer Science
圖書封面Titlebook: Computational Movement Analysis;  Patrick Laube Book 2014 The Author(s) 2014 Data mining.Decentralized spatial computing.Geographic informa
描述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.
出版日期Book 2014
關(guān)鍵詞Data mining; Decentralized spatial computing; Geographic information science; Movement data; Movement pa
版次1
doihttps://doi.org/10.1007/978-3-319-10268-9
isbn_softcover978-3-319-10267-2
isbn_ebook978-3-319-10268-9Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s) 2014
The information of publication is updating

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C. Van Haesendonck,Y. Bruynseraedehaped by significant technological developments resulting in much increased availability of fine-grained movement data, an innocent and somewhat na?ve enthusiasm over moving points resulting in a wide but fragmented variety of methods for movement analysis, and finally due to this lack of a unifying
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Introduction,nge of fields aiming for a better understanding of movement processes. This first chapter explains why this inclusive umbrella is a contribution, what it involves, and which fields it borrows methods and concepts from.
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