Author
Listed:
- Natalia Andrienko
(Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven
City, University of London, Northampton Square, Department of Computer Science)
- Gennady Andrienko
(Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven
City, University of London, Northampton Square, Department of Computer Science)
- 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
University of Bonn)
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.
Suggested Citation
Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020.
"Principles of Interactive Visualisation,"
Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 51-88,
Springer.
Handle:
RePEc:spr:sprchp:978-3-030-56146-8_3
DOI: 10.1007/978-3-030-56146-8_3
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