A method for the identification of nonlinear coupled map lattices (CML) equ
ations from measured spatio-temporal data is introduced. The application of
the algorithm is demonstrated using chaotic two-dimensional spatio-tempora
l patterns generated from interacting populations and the resulting models
are validated by computing the attractors and the largest Lyapunov exponent
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