Improving the capability of an integrated CA-Markov model to simulate spatio-temporal urban growth trends using an Analytical Hierarchy Process and Frequency Ratio

Author:

Aburas Maher Milad,Ho Yuek Ming,Ramli Mohammad Firuz,Ash’aari Zulfa Hanan

Funder

Universiti Putra Malaysia

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference36 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

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3. Monitoring and predicting land use change in Tripoli Metropolitan City using an integrated Markov chain and cellular automata models in GIS;Al-sharif;Arab. J. Geosci.,2013

4. Spatio-temporal prediction of urban expansion using bivariate statistical models: assessment of the efficacy of evidential belief functions and frequency ratio models;Al-sharif;App. Spat. Anal. Policy,2015

5. Urban sprawl analysis of Tripoli Metropolitan city (Libya) using remote sensing data and multivariate logistic regression model;Alsharif;J. Indian Soc. Remote Sens.,2014

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