首页> 外文期刊>Advance journal of food science and technology >Ancient Jing De Zhen Dong He River Basin Kiln and Farmland Land-use Change Based on Cellular Automata and Cultural Algorithm Model
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Ancient Jing De Zhen Dong He River Basin Kiln and Farmland Land-use Change Based on Cellular Automata and Cultural Algorithm Model

机译:基于元胞自动机和文化算法模型的古代景德镇东河流域窑炉与耕地利用变化。

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The aim of this study is to understand how farmland has transformed kiln in ancient Jing De Zhen Dong He River Basin; we created ancient virtual maps of study area and conducted a series of spatial analyses of the land-use pattern from the Yuan Dynasty to the Ming Dynasty. The results of the spatial analysis show that kiln can evolve from farmland, shrub, idle land etc. To simulate land-use change we developed a novel cellular automata model. Model parameters and neighborhood rules were obtained with the cellular automata model melt modified cultural algorithm. Virtual land-use maps from the Yuan Dynasty to the Ming Dynasty were used to implement the model with a time step of one year. Model performance was evaluated using Moran's I index estimation for selected landscape pattern indices. The optimized parameter set using Particle Swarm Optimization poorly simulated land-use change as compared to the optimized parameter set using Cultural Algorithm. In summary, our results proved that the model is also effective and feasible in simulating farmland and kiln land-use evolution in ancient times when Geographic Information and System information were lacking.
机译:这项研究的目的是了解古代景德镇东河流域的农田如何转变了窑炉。我们绘制了古代研究区虚拟地图,并对元朝至明朝的土地利用格局进行了一系列空间分析。空间分析的结果表明,窑炉可以从农田,灌木丛,闲置土地等演变而来。为了模拟土地利用变化,我们开发了一种新型的元胞自动机模型。利用元胞自动机模型融化修正的文化算法获得模型参数和邻域规则。使用元至明代的虚拟土地利用图来实现该模型,时间步长为一年。使用Moran的I指数估算来评估所选景观模式指数的模型性能。与使用文化算法的优化参数集相比,使用粒子群优化的优化参数集对土地利用变化的模拟效果较差。总之,我们的结果证明,该模型在模拟缺乏地理信息和系统信息的远古时期的农田和窑炉土地利用演变方面也是有效且可行的。

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