Multidimensional visualization of transition systems

Transition systems are graphs and it is natural to consider their visual representation as a graph visualization problem. They also pose an interesting multidimensional visualization challenge since every state may be considered as a point in n-space. We discuss a number of approaches toward projecting transition systems to the 2D plane by considering the dimensionality of the states. To assess these techniques, we consider their ability to assist us in answering questions that are difficult to address with conventional methods.

[1]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[2]  Matthew O. Ward,et al.  XmdvTool: integrating multiple methods for visualizing multivariate data , 1994, Proceedings Visualization '94.

[3]  Colin Ware,et al.  Information Visualization: Perception for Design , 2000 .

[4]  Jacques Bertin,et al.  Graphics and graphic information-processing , 1981 .

[5]  Ben Shneiderman,et al.  A Rank-by-Feature Framework for Unsupervised Multidimensional Data Exploration Using Low Dimensional Projections , 2004, IEEE Symposium on Information Visualization.

[6]  Jarke J. van Wijk,et al.  Interactive Visualization of State Transition Systems , 2002, IEEE Trans. Vis. Comput. Graph..

[7]  Colin Ware Designing with a 2 1/2-D Attitude , 2001 .

[8]  Eser Kandogan,et al.  Visualizing multi-dimensional clusters, trends, and outliers using star coordinates , 2001, KDD '01.

[9]  Ramana Rao,et al.  The table lens: merging graphical and symbolic representations in an interactive focus + context visualization for tabular information , 1994, CHI '94.

[10]  Allan R. Wilks,et al.  Dynamic Graphics for Data Analysis , 1987 .

[11]  Ben Shneiderman,et al.  The eyes have it: a task by data type taxonomy for information visualizations , 1996, Proceedings 1996 IEEE Symposium on Visual Languages.

[12]  Daniel Asimov,et al.  The grand tour: a tool for viewing multidimensional data , 1985 .

[13]  Jan Friso Groote,et al.  µCRL: A Toolset for Analysing Algebraic Specifications , 2001, CAV.

[14]  Matthew O. Ward,et al.  Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Datasets , 2003, VisSym.