title: Regularity analysis of an individual-based ecosystem simulation.
abstract: We analyze the results of a large simulation of an evolving ecosystem to evaluate its complexity. In particular, we are interested to know how close to a stochastic or a deterministic behavior our simulation is. Four methods have been used for this analysis: Higuchi fractal dimension, correlation dimension, largest Lyapunov exponent, and P&H method. Besides, we use a surrogate data test to reach a final decision about analysis. As we expect, our results show that there is a deterministic and chaotic behavior in ecosystem simulation.
authors.affiliation: School of Computer Science, University of Windsor, Windsor, Ontario N9B 3P4, Canada.
authors.forename: Abbas
authors.initials: A
authors.lastname: Golestani
authors.forename: Robin
authors.initials: R
authors.lastname: Gras
mesh_terms: D000818:Animals; D003198:Computer Simulation; D017753:Ecosystem; D017143:Fuzzy Logic; D008954:Models, Biological; D011157:Population Dynamics; D011235:Predatory Behavior; D013997:Time Factors