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Visual Analytics of Movement

Previously published in hardcover
BuchKartoniert, Paperback
387 Seiten
Englisch
Springererschienen am23.08.2016Softcover reprint of the original 1st ed. 2013
This book introduces a general conceptual framework for the analysis of movement data from various sources. It illustrates all algorithms and methods with the help of sample applications from various domains.mehr
Verfügbare Formate
BuchGebunden
EUR106,99
BuchKartoniert, Paperback
EUR106,99
E-BookPDF1 - PDF WatermarkE-Book
EUR96,29

Produkt

KlappentextThis book introduces a general conceptual framework for the analysis of movement data from various sources. It illustrates all algorithms and methods with the help of sample applications from various domains.
Details
ISBN/GTIN978-3-662-50728-5
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2016
Erscheinungsdatum23.08.2016
AuflageSoftcover reprint of the original 1st ed. 2013
Seiten387 Seiten
SpracheEnglisch
Gewicht642 g
IllustrationenXVIII, 387 p. 200 illus., 178 illus. in color.
Artikel-Nr.39374604

Inhalt/Kritik

Inhaltsverzeichnis
Introduction.- Conceptual framework.- Transformations of movement data.- Visual analytics infrastructure.- Visual analytics focusing on movers.- Visual analytics focusing on spatial events.- Visual analytics focusing on space.- Visual analytics focusing on time.- Discussion and outlook.mehr

Schlagworte

Autor


Natalia and Gennady Andrienko have been lead scientists for visual analytics research at the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) in Germany since 2007. Their research interests include geovisualization, information visualization with a focus on spatial and temporal data, visual analytics, interactive knowledge discovery and data mining, and spatial decision support and optimization.

Peter Bak, PhD, has been a senior scientis at IBM Research Lab, Haifa since 2010. He works in the field of visual analytics mainly for the spatiotemporal domain. He is mainly interested in the development and design of new techniques for the analysis and interactive visualization of real time movement and historical collection of trajectory data. He is continuously contributing to academic, but also to industrial application domains.

Daniel Keim is a Professor of Data Mining and Visualization at the University of Konstanz, Germany. His main areas of research are databases, data mining, information visualization, and visual analytics. In 2011, he received the Visualization Technical Achievement Award from the IEEE VGTC in recognition of his seminal technical work in high-dimensional data analysis and visualization of large databases.

Stefan Wrobel holds a joint position as a Professor of Computer Science at the University of Bonn and Institute Director of the Fraunhofer IAIS. His main interests are in machine learning, data analysis, and pattern recognition. He is an Elected Founding Member of the International Machine Learning Society.
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