  The gap in statistics between multi-variate and time-series analysis can be
bridged by using entropy statistics and recent developments in
multi-dimensional scaling. For explaining the evolution of the sciences as
non-linear dynamics, the configurations among variables can be important in
addition to the statistics of individual variables and trend lines. Animations
enable us to combine multiple perspectives (based on configurations of
variables) and to visualize path-dependencies in terms of trajectories and
regimes. Path-dependent transitions and systems formation can be tested using
entropy statistics.
