郭名静,边少锋,单潮龙,熊鑫,曾立庆

• 1:东华理工大学理学院
• 2:海军工程大学电气工程学院

摘要(Abstract)：

针对城市空间特征分析问题,该文以武汉市中心城区为研究对象,对多维位置数据进行数据挖掘,获得城市行业空间分布特征模式。首先通过对聚类切分后的区域从不同维度进行切片,得到各个区域不同行业类别在多个属性切面的量化特征。再通过构建动态加权密度聚类模型,提出以非位置属性计算权重系数修正判定位置点分类的相似度函数,实现对城市重点区块的抽取。综合切片和聚类提取结果,归纳出了目标城市行业空间特征模式。仿真结果表明,基于多维位置数据的数据挖掘可以实现对城市行业空间特征的直接提取,抽取得到的重点区块具有明显的高热特性。聚类分析结果与城市行业基本特征的吻合度较高,表明所提出的动态加权聚类算法较传统的密度聚类算法更适合于多维位置数据的挖掘,同时也为现有的城市空间布局模式研究中对位置点集密度聚类分析难于设置网格大小和密度带宽的问题提供了一条新的思路。

关键词(KeyWords)： 城市空间特征;数据挖掘;位置数据;聚类分析;行业布局

Abstract:

Keywords:

基金项目(Foundation): 抚州市2019年社会科学规划项目(19SK02);; 国家自然科学基金项目(41576105,41604010);; 湖北省杰出青年科学基金项目(2019CFA086)

作者(Author): 郭名静,边少锋,单潮龙,熊鑫,曾立庆

DOI: 10.16251/j.cnki.1009-2307.2020.10.018

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