Calibration of cellular automata urban growth models from urban genesis onwards - a novel application of Markov chain Monte Carlo approximate Bayesian computation.
Jingyan YuAlex Hagen-ZankerNaratip SantitissadeekornSusan J. HughesPublished in: Comput. Environ. Urban Syst. (2021)
Keyphrases
- cellular automata
- cellular automata model
- urban growth
- markov chain monte carlo
- exact computation
- posterior distribution
- parameter estimation
- bayesian inference
- inference in graphical models
- cellular automaton
- generative model
- probabilistic model
- latent variables
- markov chain
- posterior probability
- message passing
- model selection
- particle filter
- approximate inference
- markov random field
- bayesian networks
- bayesian framework
- maximum likelihood
- graphical models
- probability distribution