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Designing and implementing a regional urban modeling system using the SLEUTH cellular urban model

机译:使用SLEUTH蜂窝城市模型设计和实现区域城市建模系统

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摘要

This paper presents a fine-scale (30 meter resolution) regional land cover modeling system, based on the SLEUTH cellular automata model, that was developed for a 257000 km~2 area comprising the Chesapeake Bay drainage basin in the eastern United States. As part of this effort, we developed a new version of the SLEUTH model (SLEUTH-3r), which introduces new functionality and fit metrics that substantially increase the performance and applicability of the model. In addition, we developed methods that expand the capability of SLEUTH to incorporate economic, cultural and policy information, opening up new avenues for the integration of SLEUTH with other land-change models. SLEUTH-3r is also more computationally efficient (by a factor of 5) and uses less memory (reduced 65%) than the original software. With the new version of SLEUTH, we were able to achieve high accuracies at both the aggregate level of 15 sub-regional modeling units and at finer scales. We present forecasts to 2030 of urban development under a current trends scenario across the entire Chesapeake Bay drainage basin, and three alternative scenarios for a sub-region within the Chesapeake Bay watershed to illustrate the new ability of SLEUTH-3r to generate forecasts across a broad range of conditions.
机译:本文提出了一种基于SLEUTH元胞自动机模型的精细规模(30米分辨率)区域土地覆盖建模系统,该系统是针对257,000 km〜2区域(包括美国东部切萨皮克湾流域)开发的。作为这项工作的一部分,我们开发了SLEUTH模型的新版本(SLEUTH-3r),该版本引入了新的功能和契合度,从而大大提高了模型的性能和适用性。此外,我们开发了一些方法来扩展SLEUTH整合经济,文化和政策信息的能力,为SLEUTH与其他土地变更模型的整合开辟了新途径。与原始软件相比,SLEUTH-3r的计算效率更高(约为5倍),并且使用的内存更少(减少了65%)。借助新版本的SLEUTH,我们能够在15个子区域建模单元的总体水平和更小尺度上实现较高的精度。我们以当前切萨皮克湾流域的当前趋势情景以及切萨皮克湾流域内一个子区域的三种替代情景为基础,提出了到2030年城市发展的预测,以说明SLEUTH-3r产生广泛预测的新能力条件范围。

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