Methods:
We assume that a trajectory of a dynamical system (or an ensemble of trajectories) is observed during a reference period R, and that this trajectory is a good proxy for the underlying attractor. For a distinct target time interval T, we determine, for each t in T, the states of the reference trajectory in R that are closest to the state reached at target time t in T. The closest states found during the reference R are called the analogues of the target T. There are several ways of obtaining closest analogues: by minimizing a distance or maximizing a correlation. The analogue determination hence strongly depends on the criterion to be optimized and there is no objective reason to prefer one method over another [Toth, 1991a], although the results can be different.
Here, we use the standard Euclidean distance and linear correlation that are adapted to mean variations. We select the first 20 "best" analogues.
See the A2C2 website for more information.
Technical architecture:
This application uses following JavaScript libraries: