Visualization systems have evolved into live-design environments in which users explore information by constructing
coordinated multiview visualizations rapidly and interactively. Although these systems provide built-in support for well-known
coordinations, they do not allow invention of novel coordinations or customization of existing ones. This paper
presents a categorization of 29 coordination patterns that have proven to be broadly useful for visual data analysis. By
coupling coordination with visual abstraction, it has been possible to realize 27 of these patterns in Improvise, demonstrated
here with five example visualizations.
An ongoing challenge for visualization researchers is to create tightly coupled dynamic query interfaces that response quickly and smoothly to user interaction, regardless of the amount of data or the complexity of the display. Our solution is to follow a simple philosophy: during user activity, maintain the quality of visual context at the expense of visual content by reducing the impact of expensive visualization operations on interactivity. Our interactive visualization strategy splits finite computational resources by giving the user interface whatever resources it needs to maintain interactivity, and giving the data system whatever remains; user interface optimizations increase resources left for the data system, and data system optimizations make the best use of leftover resources. In this paper we describe three techniques that implement this strategy. First, we use a family of techniques called throttling to moderate the execution of queries and renders. Second, we improve refresh speed by elimination several unnecessary, graphically-intensive operations. Third, we preprocess and render data into bitmaps using an asynchronous imaging engine. Using these techniques, we have increased the speed and smoothness of interface navigation in our visualization framework even during expensive query and render operations.
Conference Committee Involvement (1)
Visualization and Data Analysis 2008
28 January 2008 | San Jose, California, United States
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