Advanced Star Coordinates

Abstract

With the development of data collection technology, effective visualization tools are needed urgently to understand the abundant multidimensional and multivariate data and information in the science, engineering and commerce fields. Star Coordinates is a traditional multivariate data visualization technique, but there are some limitations of it. In the paper we propose the advanced star coordinates (ASC), which addresses these drawbacks. ASC uses the diameter instead of the radius as the dimension axis, projects the multidimensional information object to low dimension visual space, which is meaningful to users, and designs the dimension configuration strategy to optimize the order and angle of the dimension axes. The experiment results show that the dimension configuration strategy reduces the user operation burden greatly and helps them explore the connotative characteristics of the multidimensional information aggregation quickly and exactly. The visualization result is easily understandable and expresses the dimension distribution information effectively.