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. |