CAJ | 학술논문

对2008-2011年中原经济区所涉及5省30个市、县的影响城镇化水平的多个指标进行主成分分析，计算中原经济区各地级市的综合得分，运用探索性空间数据分析（ESDA）法，在工具型软件ArcGIS9．3与空间统计分析软件GeoDa的支持下，对中原经济区城镇化综合水平进行区域差异分析。通过计算全局空间自相关指标和局部空间自相关指标，探讨中原经济区各地级市城镇化水平存在的空间差异性，并对差异原因进行剖析。分析得知中原经济区城镇化综合水平在空间上表现出较为明显的局部空间自相关集聚格局，由西北部向东南部呈降低趋势。针对分析的结果．提出提高城镇化水平的一些建议。
대2008-2011년중원경제구소섭급5성30개시、현적영향성진화수평적다개지표진행주성분분석，계산중원경제구각지급시적종합득분，운용탐색성공간수거분석（ESDA）법，재공구형연건ArcGIS9．3여공간통계분석연건GeoDa적지지하，대중원경제구성진화종합수평진행구역차이분석。통과계산전국공간자상관지표화국부공간자상관지표，탐토중원경제구각지급시성진화수평존재적공간차이성，병대차이원인진행부석。분석득지중원경제구성진화종합수평재공간상표현출교위명현적국부공간자상관집취격국，유서북부향동남부정강저추세。침대분석적결과．제출제고성진화수평적일사건의。
Using the principal component analysis method to compute sereral urbanization index of the Central Plains Economic Region from 2008 to 2011, we could obtain the urbanization comprehensive scoring of each city in the Central Plains Economic Region. Then with the methods of exploratory spatial data analysis, in support of the software ArcGIS 9.3 and spatial statistical analysis software GeoDa, this article analyzed the region differences on the level of urbanization of the 30 prefecture-level cities in Central Plains Economic Region. By calculating the global spatial autocorrelation and local spatial autocorrelation, the paper discussed the differences of each city in the Central Plains Economic Region, then analyzed the reasons. The conclusions is that the urbanization level of each city in the Central Plains Economic Region shows obvious local spatial autocorrelation agglomeration pattern in space. At last, this article offers some suggestions to improve the urbanization level. In the meantime, each city should take different urbanization development strategy.