利用探索性空间分析方法建立城市热点聚集模型  

Establishment of Urban Hotspots Aggregation Model Based on Exploratory Spatial Analysis Method

作　　者：许玉凤 孙秀巧 XU Yufeng;SUN Xiuqiao(Beijing North-Star Technology Development Co.,Ltd.,Beijing 100120,China)

机构地区：[1]北京洛斯达科技发展有限公司,北京100120

出　　处：《现代信息科技》2024年第18期152-156,161,共6页Modern Information Technology

摘　　要：文章以核密度估计方法对格网化的研究区域建立量化单元值,基于探索性空间数据分析(ESDA)建立城市热点聚集模型。首先以最小均方误差探索最优视宽与格网单元划分标准;其次基于“辐射衰减效应”计算格网单元核密度值;最后采用Moran's I指数定量分析各类设施点的高值聚集热点,并在二三维下对热点区域进行可视化。与不同视宽下交通类热点探测结果相比,最优视宽不仅满足了交通设施点的连续分布,同时又避免了过渡平滑问题。通过工商企业数据对模型进行实验,证明了该方法能有效提取不同类型设施在城市区域中的分布热点范围。This paper uses the kernel density estimation method to establish the quantified unit values of the grid study area,and establishes the urban hotspot aggregation model based on the Exploratory Spatial Data Analysis(ESDA).First,the Minimum Mean Square Error is used to explore the optimal aspect ratio and the grid cell division standard.Then,the kernel density value of the grid unit is calculated based on the“radiation attenuation effect”.Finally,Moran's I index is used to quantitatively analyze the high value aggregation hotspots of various facilities,and hotspot area is visualized in both 2D and 3D.Compared with traffic hotspots with different aspect ratio,the optimal aspect ratio not only satisfies the continuous distribution of traffic facilities,but also avoids the problem of transition smoothing.Experiments on the model are carried out through the data of industrial and commercial enterprises,which show that the method can effectively extract the hotspot distribution of different types of facilities in urban areas.

关 键 词：城市热点 ESDA 地理空间分析 核密度估计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]