Highlighting in Visual Data Analytics

Author:

Huang Mao Lin1,Liang Jie1,Huang Weidong2

Affiliation:

1. School of Software, University of Technology, Sydney, Australia

2. CSIRO ICT Centre, Sydney, Australia

Abstract

Highlighting has been known as a basic viewing control mechanism in computer graphics and visualization for guiding users’ attention in reading diagrams, images, graphs, and digital texts. Due to the rapid development of theory and practice in information visualization and visual analytics, the role of ‘highlighting’ in computer graphics has been extended from just acting as a viewing control to being part of an interaction control and a visual recommendation mechanism that is important in modern information visualization and visual analytics. In this chapter, the authors present a brief literature review. They try to assign the word ‘highlighting’ a contemporary definition and attempt to give a formal summarization and classification of the existing and potential ‘highlighting’ methods that are to be applied in Information Visualization, Visual Analytics, and Knowledge Visualization. We also propose a new three-layer model of ‘highlighting’ and discuss the responsibilities of each layer accordingly.

Publisher

IGI Global

Reference36 articles.

1. Visual Analysis of History of World Cup: A Dynamic Network with Dynamic Hierarchy and Geographic Clustering

2. Andrew, K., & Heidegger, H. (1998). Information slices: Visualizing and exploring large hierarchies using cascading, semi-circular discs. In Proceedings of IEEE Symposium on Information Visualization, 9-12. New Brunswick, NJ: IEEE Press.

3. Filtering and brushing with motion.;L.Bartram;Information Visualization,2002

4. Brushing Scatterplots

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