We describe a method for creating a visual laboratory to interactively measure and analyze scientific data. We move the normal activities that scientists perform to understand their data into the visualization environment. The visualization environment is our virtual laboratory that combines the qualitative with the quantitative. We use representation, interactive selection, quantification, and display to obtain numerical information from each visualization. Each of these steps depends on the features present in the data. Hence each is manifested differently in different situations. We illustrate this approach with a variety of applications from immersive to desktop environments that demonstrate the methods used to obtain quantitative knowledge interactively.
Citation: Book chapter in Trends in Interactive Visualization
Pub Type: Others
Interactive visualization, immersive visualization, measurement science