Published April 6, 2018
| Version v1
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Non-stationary surrogate time series
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Description
Matlab codes implementing the non-stationary surrogate algorithm described in:
M. Chavez, B. Cazelles (2019). Detecting dynamic spatial correlation patterns with generalized wavelet coherence and non-stationary surrogate data. Scientific Reports, 9: 7389
Briefly, in contrast with classical methods, the surrogate data used here are realisations of a non-stationary stochastic process, preserving both the amplitude and time-frequency distributions of original data.
To reproduce the results in the figure, please run the routine reproduceFigures.m
Files
dataMeasles2Surrogate.txt
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