Geographical Distribution of Characteristic Towns in Zhejiang Province

3rd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Yang, Chen^1 ; Xin, Jinguo^2 ; Yang, Yang^3

School of Accounting, Hangzhou Dianzi University, Hangzhou, China^1

Research Center of Information Technology and Economic and Social Development, Hangzhou Dianzi University, Hangzhou, China^2

School of Information Engineering, Hangzhou Vocational and Technical College, Hangzhou, China^3

关键词: Aggregate distribution;    Distribution characteristics;    Geographic concentrations;    Geographic information;    Kernel Density Estimation;    Kernel Density Estimation methods;    Nearest neighbour;    Spatial characteristics;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/300/2/022072/pdf
DOI  :  10.1088/1755-1315/300/2/022072

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

To analyse the geographical distribution of characteristic towns in Zhejiang province. A total of 143 provincial-level characteristic towns in Zhejiang Province were used as research samples to establish a geographic information database. Based on the relevant theory of characteristic towns, the basic statistical analysis was carried out by using e Excel, and the spatial distribution characteristics of characteristic towns were discussed by using the nearest neighbour index, geographic concentration index method and kernel density estimation method. The basic statistical results show that recent domain ratio is R=0.9011) is larger than the evenly distributed geographical concentration index ( G1 ) , so the characteristic town in Zhejiang Province tend to aggregate distribution. The spatial distribution of different types of characteristic towns is significantly different. It is necessary to attach great importance to the uneven distribution of spatial characteristics of characteristic towns in Zhejiang Province. The analysis of the spatial distribution of characteristic towns can provide a theoretical basis for optimizing the spatial layout of characteristic towns.