The simulation and prediction of spatio-temporal urban growth trends using cellular automata models: A review
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- 作者：Maher Milad Aburasa ; b ; Yuek Ming Hoa ; yuekming@upm.edu.my" class="auth_mail" title="E-mail the corresponding author ; Mohammad Firuz Ramlia ; Zulfa Hanan Ash&rsquo ; aaria
- 关键词：Simulation ; Prediction ; Urban growth ; Spatio-temporal ; Cellular automata
- 刊名：International Journal of Applied Earth Observation and Geoinformation
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：52
- 期：Complete
- 页码：380-389
- 全文大小：1014 K
文摘
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We conducted a comprehensive overview on the simulation models of urban growth.
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We focused on CA models and their strong and weak points.
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We carried out a review of factors that influence the simulation process of urban growth.
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The urban growth simulation process using the CA model should include dynamic, quantitative, and spatio-temporal aspects.
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The CA model should be integrated with other kinds of models to improve its simulation capability.