| 書目名稱 | Visual Analytics of Movement | | 編輯 | Gennady Andrienko,Natalia Andrienko,Stefan Wrobel | | 視頻video | http://file.papertrans.cn/984/983672/983672.mp4 | | 概述 | Presents a multidisciplinary approach, combining methods from e.g. visualization, data mining, cartography, and geographical information science.Introduces a general conceptual framework for the analy | | 圖書封面 |  | | 描述 | .Many important planning decisions in society and business depend on proper knowledge and a correct understanding of movement, be it in transportation, logistics, biology, or the life sciences. Today the widespread use of mobile phones and technologies like GPS and RFID provides an immense amount of data on location and movement. ?What is needed are new methods of visualization and algorithmic data analysis that are tightly integrated and complement each other to allow end-users and analysts to extract useful knowledge from these extremely large data volumes..This is exactly the topic of this book. As the authors show, modern visual analytics techniques are ready to tackle the enormous challenges brought about by movement data, and the technology and software needed to exploit them are available today..The authors start by illustrating the different kinds of data available to describe movement, from individual trajectories of single objects to multiple trajectories of many objects, and then proceed to detail a conceptual framework, which provides the basis for a fundamental understanding of movement data. With this basis, they move on to more practical and technical aspects, focusi | | 出版日期 | Book 2013 | | 關(guān)鍵詞 | Data Analysis; GIS; Geographical Information Systems; Information Visualization; Knowledge Discovery; Mob | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-37583-5 | | isbn_softcover | 978-3-662-50728-5 | | isbn_ebook | 978-3-642-37583-5 | | copyright | Springer-Verlag Berlin Heidelberg 2013 |
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