基于SSO-CA模型的重庆渝西片区城市用地动态变化模拟
首发时间:2018-02-24
摘要:随着我国经济的发展与城市化进程的加速,伴随着城市化的加速,如何对城市土地利用进行更好的规划,对城市的扩张更好的理解,提高基于地理元胞自动机的城市模型的精度,是这一领域的主要研究方向。针对过往模型存在的不足,本文构建了SSO-CA模型,并以重庆市渝西片区为例进行城市用地动态模拟,同时将土地类型分为2类、5类、7类,观察不同分类方法对模拟结果的影响。结果显示,基于SSO-CA模型的模拟总精度达都到了90%以上,总kappa为都达到了80%以上,研究表明基于SSO-CA的模型比遗传算法构建的模型具有更好的模拟效果且更适合于大范围的城市用地动态模拟中的数据分布不均衡、数据特征变量较多的情况。
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Based on the SSO-CA model of the West Chongqing area of city land use change simulation
Abstract:With China\'s rapid economic development, accelerate the process of city, with the city, how to use better planning of city land, the expansion of the city to better understand, improve the city geographic cellular automaton model based on accuracy, is the main research direction in this field. Aiming at the shortage of existing models, this paper constructs a SSO-CA model, and to the west of Chongqing area as an example of city land dynamic simulation, at the same time, land types are divided into 2 classes, 5 classes, 7 classes, to observe the effects of different classification methods for simulation results. The results showed that the total accuracy of SSO-CA simulation model is based on more than 90%, the total kappa reached more than 80% studies showed that the simulation results than the genetic algorithm to construct the SSO-CA model based on the model has a better and more suitable for a large range of city land in dynamic simulation of uneven distribution of data, data characteristics the condition of many variables.
Keywords: Computer application Dynamic simulation of urban land social-spider
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