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Simulation of Coordinated Development of an Urban Ecosystem: A Case Study in Guanzhong Urban Agglomeration

机译:城市生态系统协调发展的模拟研究-以关中城市群为例

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Using both qualitative and quantitative analysis, a set of relatively integrated evaluation indexes was developed to analyze the urban planning process in Guanzhong urban agglomeration. Key impact factors of coordinated development obtained from literature analysis were used as input, and the degree of coordinated development during 1988~2008 calculated by principal component analysis and the coordinated development model were used as output. On this basis, a support vector machine model was built to predict the trends of coordinated development. The method was compared with artificial neural network, decision tree, logistic regression and naive Bayesian classifier regarding urban ecosystem coordinated development prediction for Guanzhong urban agglomeration. It is found that the method has the best accuracy rate, hit rate, covering rate and lift coefficient, and provides an effective measurement for urban ecosystem coordinated development prediction.
机译:通过定性和定量分析,建立了一套相对综合的评价指标,对关中城市群的城市规划过程进行了分析。以文献分析得出的协调发展的关键影响因素为输入,以主成分分析计算的1988〜2008年协调发展程度和协调发展模型为输出。在此基础上,建立了支持向量机模型来预测协调发展的趋势。将该方法与人工神经网络,决策树,逻辑回归和朴素贝叶斯分类器进行了关中城市群城市生态系统协调发展预测的比较。结果表明,该方法具有最高的准确率,命中率,覆盖率和升力系数,为城市生态系统协调发展预测提供了有效的手段。

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