Stochastic cellular automata modeling of urban land use dynamics: empirical development and estimation

@article{Almeida2003StochasticCA,
  title={Stochastic cellular automata modeling of urban land use dynamics: empirical development and estimation},
  author={Cl{\'a}udia Maria de Almeida and Michael Batty and Ant{\^o}nio Miguel Vieira Monteiro and Gilberto C{\^a}mara and Britaldo Silveira Soares-Filho and Gustavo Coutinho Cerqueira and Cassio Pennachin},
  journal={Computers, Environment and Urban Systems},
  year={2003},
  volume={27},
  pages={481-509}
}
An increasing number of models for predicting land use change in rapidly urbanizing regions are being proposed and built using ideas from cellular automata (CA). Calibrating such models to real situations is highly problematic and to date, serious attention has not been focused on the estimation problem. In this paper, we propose a structure for simulating urban change based on estimating land use transitions using elementary probabilistic methods which draw their inspiration from Bayes’ theory… CONTINUE READING