The simulation and prediction of spatio - temporal urban growth trends using cellular automata models: a review

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The simulation and prediction of spatio - temporal urban growth trends using cellular automata models: a review

In recent years, several types of simulation and prediction models have been used within a GIS environment to determine a realistic future for urban growth patterns. These models include quantitative and spatio-temporal techniques that are implemented to monitor urban growth. The results derived thr...

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Bibliographic Details
Main Authors:	Aburas, Maher Milad, Yuek, Ming Ho, Ramli, Mohammad Firuz, Ash’aari, Zulfa Hanan
Format:	Article
Language:	English
Published:	Elsevier BV 2016
Online Access:	http://psasir.upm.edu.my/id/eprint/53099/ http://psasir.upm.edu.my/id/eprint/53099/1/The%20simulation%20and%20prediction%20of%20spatio%20-%20temporal%20urban%20growth%20trends%20using%20cellular%20automata%20models%20a%20review.pdf

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