From: Nonlinear dynamical analysis of GNSS data: quantification, precursors and synchronisation
Pattern | Significance |
---|---|
Homogeneous | The process is stationary |
Fading pattern to upper right or lower left | Non-stationary data; the process contains a trend or drift |
Disruptions (horizontal or vertical) | Non-stationary data; some states are far from the normal; transitions may have occurred |
Periodic or quasi-periodic patterns | The process is cyclic. The vertical (or horizontal) distance between periodic lines corresponds to the period. Variations in the distance mean quasi-periodicity in the process. |
Single isolated points | Strong fluctuations in the process. The process may be uncorrelated or anti-correlated. |
Diagonal lines (parallel to the LOI) | The evolution of the system is similar over the length of the line. If lines appear next to single isolated points the process may be chaotic. |
Diagonal lines (orthogonal to the LOI) | The evolution of states at different times is similar but with reverse timing. |
Vertical and horizontal lines or clusters | States do not change with time or change slowly |
Lines not parallel to the LOI-sometimes curved. | The evolution of states is similar at different times but the rate of evolution changes with time. The dynamics of the system is changing with time. |