Linking and Brushing
Linked brushing; Linked views
Within the context of visual data exploration, Linking refers to the process in which user interactions in one display of a multi-display system are applied to some or all other displays. In this same context, brushing consists of the interactive selection of a subset of the displayed data by either dragging the mouse over the data of interest or using a bounding shape to isolate this subset. Together, linked brushing is one of the most powerful interactive tools for doing exploratory data analysis using visualization.
Perhaps the earliest reference to linked brushing was by McDonald  as a mechanism for cross-referencing between multiple plots. The term brushing was introduced in 1978 by Newton , who defined it as an interactive method for painting a group of points with a square, circular, or polygonal brush. Since then, researchers have expanded on these concepts, as described in the next section.
- 2.Becker RA, Cleveland WS, Wilks AR. The use of brushing and rotation for data analysis. In: Cleveland WS, McGill ME, editors. Dynamic graphics for statistics. Pacific Grove: Wadsworth; 1988. p. 1–50.Google Scholar
- 3.Chen H. Compound brushing. In: Proceedings of IEEE Symposium Information Visualization; 2003. p. 181–8.Google Scholar
- 5.Doleisch H, Hauser H. Smooth brushing for focus+context visualization of simulation data in 3D. J WSCG. 2002;10(1):147–55.Google Scholar
- 7.Hauser H, Ledermann F, Doleisch H. Angular brushing of extended parallel coordinates. In: Proceedings of the IEEE Symposium on Information Visualization; 2002. p. 127–30.Google Scholar
- 8.Henze C. Feature detection in linked derived spaces. In: Proceedings of the Conference on Visualization; 1998. p. 87–94.Google Scholar
- 9.Martin AR, Ward MO. High do dimensional brushing for interactive exploration of multivariate data. In: Proceedings of IEEE Conference on Visualization; 1995. p. 271–8.Google Scholar
- 10.McDonald JA. Orion I: interactive graphics for data analysis. Technical report, Stanford University. 1983.Google Scholar
- 12.Wills GJ. 524,288 ways to say "this is interesting." In: Proceedings of the IEEE Symposium on Information Visualization; 1996. p. 54–60.Google Scholar
- 13.Xie Z, Ward MO, Rundensteiner EA, Huang S. Integrating data and quality space interactions in exploratory visualizations. In: Proceedings of the International Conference on Coordinated and Multiple Views in Exploratory Visualization; 2007. p. 47–60.Google Scholar