Analysing spatially extended high-dimensional dynamics by recurrence plots

Norbert Marwan, Jurgen Kurths, Saskia Foerster

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Recurrence plot based measures of complexity are capable tools for characterizing complex dynamics. In this letter we show the potential of selected recurrence plot measures for the investigation of even high-dimensional dynamics. We apply this method on spatially extended chaos, such as derived from the Lorenz96 model and show that the recurrence plot based measures can qualitatively characterize typical dynamical properties such as chaotic or periodic dynamics. Moreover, we demonstrate its power by analysing satellite image time series of vegetation cover with contrasting dynamics as a spatially extended and potentially high-dimensional example from the real world.
Original languageEnglish
Pages (from-to)894-900
Number of pages7
JournalPhysics Letters A
Volume379
Issue number10-11
Early online date20 Jan 2015
DOIs
Publication statusPublished - May 2015

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plots
vegetation
chaos

Keywords

  • spatially extended chaos
  • recurrence plot
  • Lorenz96
  • remote sensing

Cite this

Analysing spatially extended high-dimensional dynamics by recurrence plots. / Marwan, Norbert; Kurths, Jurgen; Foerster, Saskia.

In: Physics Letters A, Vol. 379, No. 10-11, 05.2015, p. 894-900.

Research output: Contribution to journalArticle

Marwan, Norbert ; Kurths, Jurgen ; Foerster, Saskia. / Analysing spatially extended high-dimensional dynamics by recurrence plots. In: Physics Letters A. 2015 ; Vol. 379, No. 10-11. pp. 894-900.
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