A TransDimension Visualization Model for Complex Dynamic System Visualizations

Abstract — Linear and non-linear controllable systems are commonly found in many engineering problems and are examples of models that involve complex high-dimensional spatially-related data sets. Large-scale systems comprise many state variables that evolve in complex ways. Particular evo-lution trajectories and regionalized evolutionary behavior of such complex systems are often non-intuitive and may reflect bifurcations in the system. A visualization model that includes multiple imagery and animation elements that facilitate height-ened understanding of such a system’s evolutionary aspects is proposed. The visualizations are based on information represented in a novel structure termed Orthogonal Organized Finite State Machines (OOFSM); a brief review of an OOFSM is included. The goals of the visualization model are to support the analysis of the complex dynamic system by analysts seekin