Principles of Interactive Visualisation

Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay and Stefan Wrobel
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Natalia Andrienko: Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven
Gennady Andrienko: Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven
Georg Fuchs: Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven
Aidan Slingsby: City, University of London, Northampton Square, Department of Computer Science
Cagatay Turkay: University of Warwick, Centre for Interdisciplinary Methodologies
Stefan Wrobel: Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven

Chapter Chapter 3 in Visual Analytics for Data Scientists, 2020, pp 51-88 from Springer

Abstract: Abstract We introduce the basic principles and rules of the visual representation of information. Any visualisation involves so-called visual variables, such as position along an axis, size, colour hue and lightness, and shape of a graphical element. The variables differ by their perceptual properties, and it is important to choose appropriate variables depending on the properties of the data they are intended to represent. We discuss the commonly used types of plots, graphs, charts, and other displays telling what kinds of information each of them is suited for and what visual variables it involves. We explain the necessity of supporting the use of visual representations by tools for interacting with the displays and the information they represent and introduce the common interaction techniques. We also discuss the limitations of visualisation and interaction, substantiating the need to combine them with computational operations for data processing and analysis.

Date: 2020
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DOI: 10.1007/978-3-030-56146-8_3

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