Index support for visualizing large, distributed, high-dimension data sets

The amount of data that is available to users continues to grow. To make use of the large data sets, it is important that users have access to tools that support the interpretation of the data. Data visualization has emerged as a means of aiding users trying to understand large datasets. A screen real estate index for scatterplot-based visualization software is presented. The conceptual framework and the practical aspects of the index structure are discussed. Density biased sampling is incorporated into the index system to achieve sufficient data reduction to allow dynamic operations. To evaluate the index system, it is necessary to examine it in the context of its ability to support user interaction while maintaining an appropriate level of logical performance. To provide this context, the index system is evaluated using the data visualization tool Limn Matrix.