Definition | Notation | Explanation |
---|---|---|
Recurrence Rate (RR) or %recurrence | \(RR = \frac{1}{{N^{2} }}\mathop \sum \limits_{i,j = 1}^{N} R_{i,j}\) \(R_{i,j} = \left\{ {\begin{array}{*{20}c} {1, \left( {i,j} \right) recurrent} \\ {0, otherwise} \\ \end{array} } \right.\) | High Recurrence Rate values indicate recurrent states that could be due to a deterministic behavior while chaotic states are associated with low values of the Recurrence Rate |
Determinism (DET) | \(DET = \frac{{\mathop \sum \nolimits_{{l = l_{min} }}^{N} l \cdot Pd\left( l \right)}}{{\mathop \sum \nolimits_{i,j}^{N} R_{i,j} }}\) where Pd(l) is the histogram of the lengths l of the diagonal lines | The presence of diagonal lines indicates the existence of a deterministic structure. DET reveals also information relevant to the duration of a stable interaction |
Average Length (L) | \(L = \frac{{\mathop \sum \nolimits_{{l = l_{min} }}^{N} l \cdot Pd\left( l \right)}}{{\mathop \sum \nolimits_{{l = l_{min} }}^{N} Pd\left( l \right)}}\) | This measure refers to the diagonal line length. Small L values reveal processes with stochastic or chaotic behavior while big values indicate a deterministic process. The L value is related to the DET value, as both count the number of recurrent points on the diagonal structures |
Laminarity (LAM) | \(LAM = \frac{{\mathop \sum \nolimits_{{l = l_{min} }}^{N} l \cdot Pv\left( l \right)}}{{\mathop \sum \nolimits_{l = 1}^{N} lPv\left( l \right)}}\) where Pv(l) is the histogram of the lengths of the vertical lines included in the recurrence plot | Laminarity is a measure of the appearance of laminar states indicative of intermittency. The lower the LAM value, the more stable the system is |
Trapping Time (TT) | \(TT = \frac{{\mathop \sum \nolimits_{{l = l_{min} }}^{N} lPv\left( l \right)}}{{\mathop \sum \nolimits_{{l = l_{min} }}^{N} Pv\left( l \right)}}\) Wh where Pv(l) is the histogram of the lengths of the vertical lines | The Trapping Time measure indicates the slowing variation of the values of the time series through time. High TT values indicate a non-fluctuating, slow changing series |