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作 者:王迎新 秦青[1] WANG Yingxin;QIN Qing(School of Mathematics and Statistics,Henan University of Science and Technology,Luoyang 471000,Henan,China)
机构地区:[1]河南科技大学数学与统计学院,河南洛阳471000
出 处:《山西师范大学学报(自然科学版)》2022年第3期86-93,共8页Journal of Shanxi Normal University(Natural Science Edition)
摘 要:以人均GDP为测度指标,运用全局空间自相关分析,Lisa集聚分析和Getis⁃Ord G_(i)^(∗)指数分析三种方法对河南省2013年~2019年城市经济差异的时空格局演化进行了分析.结果表明(1)通过全局空间自相关分析可知,河南省城市经济差异较为明显,且呈现明显的空间自相关性;(2)通过Lisa集聚图分析可知,河南省城市经济总体集聚模型只有高高和低低两种类型,表现为高高型集聚模式的城市始终为焦作和洛阳两个城市,驻马店一直为低低型集聚模式;(3)通过Getis⁃Ord G_(i)^(∗)指数分析河南省城市经济内部空间格局可知,城市经济热点区域一直分布在郑州和济源地区,次热点区域和0点区域随着年份的增长有所减少,而次冷点和冷点区域在增多.基于以上结果,为解决河南城市经济差异这一现状,提出针对性地建议对策,来促进河南省城市经济协调发展.Taking per capita GDP as the measurement index,this paper analyzes the spatial and temporal evolution of urban economic disparities in Henan Province from 2013 to 2019 using three methods:global spatial autocorrelation analysis,Lisa cluster analysis and Getis⁃Ord G_(i)^(∗) index analysis.The results show that:(1)Through the global spatial autocorrelation analysis,the urban economic disparity in Henan Province is obvious,and presents obvious spatial autocorrelation;(2)According to the analysis of Lisa cluster diagram,there are only two types of overall urban economic agglomeration models in Henan Province:high and low.Jiaozuo and Luoyang are the two cities with high agglomeration pattern,while Zhumadian is the low agglomeration pattern.(3)Based on the Getis⁃Ord G_(i)^(∗) index analysis of urban economic internal spatial pattern in Henan Province,it can be seen that the urban economic hot spots are always distributed in Zhengzhou and Jiyuan,and the sub⁃hot spots and zero point areas decrease with the increase of the year,while the subcold spots and cold point areas increase.Based on the above results,in order to solve the present situation of Henan's urban economic differences,put forward targeted suggestions and countermeasures to promote the coordinated development of Henan's urban economy.
关 键 词:城市经济 GIS 全局空间自相关性 Lisa集聚分析 Getis⁃Ord G_(i)^(∗)指数
分 类 号:F064.1[经济管理—政治经济学]
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