Integrating machine learning with Markov chain and cellular automata models for modelling urban land use change

Author:

Okwuashi Onuwa,Ndehedehe Christopher E.

Funder

U.S. Geological Survey

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference77 articles.

1. The simulation and prediction of spatio-temporal urban growth trends using cellular automata models: a review;Aburas;Int. J. Appl. Earth Obs. Geoinf.,2016

2. Modelling land use/cover changes by the combination of Markov chain and cellular automata Markov (CA-Markov) models;Ahmadi;Int. J. Environ. Health,2015

3. Fuzzy definition of Rural Urban Interface: an application based on land use change scenarios in Portugal;Amato;Environ. Model. Software,2018

4. Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion;Arsanjani;Int. J. Appl. Earth Obs. Geoinf.,2013

5. Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals;Batty,2005

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