Regularity analysis of an individual-based ecosystem simulation.
作者： Abbas Golestani , Robin Gras
DOI: 10.1063/1.3514011
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摘要: We analyze the results of a large simulation an evolving ecosystem to evaluate its complexity. In particular, we are interested know how close stochastic or deterministic behavior our is. Four methods have been used for this analysis: Higuchi fractal dimension, correlation largest Lyapunov exponent, and P&H method. Besides, use surrogate data test reach final decision about analysis. As expect, show that there is chaotic in simulation.
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