中国人口老龄化的空间相关性研究

ging population has become one of the major problems in China and lead to related issues in whole society. Based on global and local spatial correlation analysis of Exploratory Spatial Data Analysis（ESDA）, we explore aging demographic trends and characteristics of global and local spatial differences of thirty one provinces in china with use of the data from National Bureau of Statistics. Furthermore，the expectation and variance of spatial autocorrelation has been derived and outcome are obtained.The results indicates that global spatial correlation of aging population level is not remarkable，but the local spatial autocorrelation level is obvious. It shows that aging population of high-high level mostly distribute in the center and eastern areas，while low-low distribution areas lie in west，northeast and northwest，the low-high distribution tend to concentrate in the southwest，high-low distribution seems to somewhat stably lie in Liaoning，Sichuan and Guangdong provinces.