A statistics-based dimension reduction of the space of path line attributes for interactive visual flow analysis

Recent work has shown the great potential of interactive flow anal-ysis by the analysis of path lines. The choice of suitable attributes, describing the path lines, is, however, still an open question. This paper addresses this question performing a statistical analysis of the path line attribute space. In this way we are able to balance the us-age of computing power and storage with the necessity to not loose relevant information. We demonstrate how a carefully chosen at-tribute set can improve the benefits of state-of-the art interactive flow analysis. The results obtained are compared to previously published work