Visual Analytics

Visual Analytics
548-0142/01
čeština Visual Analytics
548-0142/02
angličtina

Summary

The course will explain to students the issue of visual analytics, which is becoming a highly attractive topic due to the development of large data sets. Students are acquainted with the history, development and current trends in this area. Possibilities of interactive data visualization based on their type using more common and non-traditional and complex approaches are presented. Emphasis is placed on determining the suitability of individual visualization methods and evaluating weaknesses and possible problems. Students are introduced to 2D and 3D space-time visualization methods and their use in geoinformatics.

Literature

Andrienko N., Andrienko G., Fuchs G., Slingsby A., Turkay C., Wrobel S. Visual Analytics for Understanding Temporal Distributions and Variations. In: Visual Analytics for Data Scientists. Springer, Cham, 2020. https://doi.org/10.1007/978-3-030-56146-8_8
Munzner, T. Visualization Analysis and Design. A K Peters/CRC Press, 1 edition, 2014, .
Ward, M. O.,‎ Grinstein, G.,‎ Keim, D. Interactive Data Visualization: Foundations, Techniques, and Applications. A K Peters/CRC Press, Second Edition, 2015, .
Loth, A. Visual Analytics with Tableau, Wiley, 1st edition, 2019, .

Advised literature

Andrienko, N., Andrienko, A. Visual Analytics of Movement. Springer, ISBN 978-3642375828.
Andrienko, N., Andrienko, A. Exploratory Analysis of Spatial and Temporal Data. A Systematic Approach. Springer, 2006, .
Keim, D., Kohlhammer, J., Ellis, G., Mansmann, F. Mastering the Information Age. Solving Problems with Visual Analytics. Eurographics Association, 2010, .
Tominski, C., Schumann, H. Interactive Visual Data Analysis. A K Peters/CRC Press, 2020, .

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Language of instruction	čeština, angličtina
Code	548-0142
Abbreviation	VIAN
Course title	Visual Analytics
Coordinating department	Department of Geoinformatics
Course coordinator	prof. Ing. Igor Ivan, Ph.D.