Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion

@article{Arsanjani2013IntegrationOL,
  title={Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion},
  author={Jamal Jokar Arsanjani and Marco Helbich and Wolfgang Kainz and Ali Darvishi Boloorani},
  journal={Int. J. Applied Earth Observation and Geoinformation},
  year={2013},
  volume={21},
  pages={265-275}
}
This research analyses the suburban expansion in the metropolitan area of Tehran, Iran. A hybrid model consisting of logistic regression model, Markov chain (MC), and cellular automata (CA) was designed to improve the performance of the standard logistic regression model. Environmental and socio-economic variables dealing with urban sprawl were operationalised to create a probability surface of spatiotemporal states of built-up land use for the years 2006, 2016, and 2026. For validation, the… CONTINUE READING
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