Analysing spatially extended high-dimensional dynamics by recurrence plots
Analysing spatially extended high-dimensional dynamics by recurrence plots
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DOI：
10.1016/j.physleta.2015.01.013
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发表时间：
2015-05-08
影响因子：
2.6
通讯作者：
Foerster, Saskia
中科院分区：
文献类型：
--
作者：
Marwan, Norbert;Kurths, Juergen;Foerster, Saskia
基于递归图的复杂性度量是描述复杂动力学的有效工具。在这封信中，我们展示了选定的递归图度量在研究甚至高维动力学方面的潜力。我们将这种方法应用于空间扩展的混沌，例如源自Lorenz96模型的混沌，并表明基于递归图的度量可以定性地描述典型的动力学特性，如混沌或周期动力学。此外，我们通过分析具有对比动力学的植被覆盖的卫星图像时间序列来展示它的能力，作为来自真实世界的空间扩展和潜在高维的例子。(C)2015爱思唯尔B.V.保留所有权利。
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. (C) 2015 Elsevier B.V. All rights reserved.