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A statistics-based dimension reduction of the space of path line attributes for interactive visual flow analysis
2012 IEEE Pacific Visualization Symposium
R ecent work has shown the great potential of interactive flow analysis 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 usage of computing power and storage with the necessity to not loose relevant information. We demonstrate how a carefully chosen attribute set can improvedoi:10.1109/pacificvis.2012.6183581 dblp:conf/apvis/PobitzerLMH12 fatcat:d2mqdeofg5hqll4h4cibz4j5la