Lehrinhalte |
Introduction to information visualization (definition, visualization process, historical aspects), perception and cognition, data foundations, high-dimensional data visualization, geospatial data visualization, visualization of time-oriented data, document and text visualization, graph visualization (trees, graphs, networks), visualization on the web, interaction techniques, visualization frameworks, collaborative visualization, applications of information visualization.
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Literatur |
1. Interactive Data Visualization: Foundations, Techniques, and Applications; Matthew Ward, George Grinstein and Daniel Keim, A K Peters, ISBN: 978-1568814735, 2010.
2. Information Visualization. Perception for Design, Collin Ware, Morgan Kaufmann, 2nd edition, ISBN: 978-1558608191, 2004.
3. Information Visualization: Design for Interaction, Robert Spence, Prentice Hall, 2nd edition, ISBN: 978-0132065504, 2006.
4. Visualisierung: Grundlagen und allgemeine Methoden, Heidrun Schumann and Wolfgang Müller, Springer, ISBN: 978-3540649441, 1999.
5. Visualization of Time-Oriented Data, Wolfgang Aigner, Silvia Miksch, Heidrun Schumann and Christian Tominski, Springer, ISBN: 978-0857290786, 2011.
6. Semiology of Graphics: Diagrams, Networks, Maps; Jaques Bertin, Esri Press, ISBN-13: 978-1589482616, 2010 (orig. 1983).
7. Beautiful Visualization, Julie Steele and Noah Illinsky, O'Reilly, ISBN: 978-1449379865, 2010.
8. Visualize This: The FlowingData Guide to Design, Visualization, and Statistics, Nathan Yau, John Wiley & Sons, ISBN: 978-0470944882, 2011.
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