Simulating complex urban development using kernel-based non-linear cellular automata

@inproceedings{Liu2008SimulatingCU,
  title={Simulating complex urban development using kernel-based non-linear cellular automata},
  author={Xiaoping Liu and Xia Li and Xun Shi and Shaokun Wu and T. M. Liu},
  year={2008}
}
Cellular automata (CA) have been increasingly used to simulate complex urban systems. Empirical data can be used to calibrate CA models so that realistic urban patterns can be generated. Traditionally, the calibration procedure employs linear regression methods, e.g., multicriteria evaluation. However, the evolution of urban systems often manifests the complexity of non-linear features, for which the linear transition rules are insufficient. This paper proposes to use the kernel-based learning… CONTINUE READING

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