"Prior research developed a cellular automaton model, that was calibrated by using historical digital maps of urban areas and can be used to predict the future extent of an urban area. The model has now been applied to two rapidly growing, but remarkably different urban areas: the San Francisco Bay region in California and the Washington/Baltimore corridor in the Eastern United States. This paper presents the calibration and prediction results for both regions, reviews their data requirements, compares the differences in the initial configurations and control parameters for the model in the two settings, and discuses the role of GIS in the applications."

中文翻译：

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元胞自动机模型和 GIS 的松耦合：旧金山和华盛顿/巴尔的摩的长期城市增长预测

“之前的研究开发了一种元胞自动机模型，该模型通过使用城市地区的历史数字地图进行校准，可用于预测城市地区的未来范围。该模型现已应用于两个快速发展但截然不同的城市地区：加利福尼亚的旧金山湾地区和美国东部的华盛顿/巴尔的摩走廊。本文介绍了这两个地区的校准和预测结果，回顾了它们的数据要求，比较了模型初始配置和控制参数的差异在这两种设置中，并讨论了 GIS 在应用程序中的作用。”