基于探索性空间数据分析的内蒙古人口分布格局研究

Research on the Population Distribution Pattern of Inner Mongolia Based on Exploratory Spatial Data Analysis Tools

本文利用探索性空间数据方法对2005-2015年内蒙古人口分布格局进行空间关联分析。通过对全局空间自相关Moran's I指数值分析,得到内蒙古人口分布不是随机,而是在空间上呈现出正向的关联模式特征,即人口水平相接近的盟市在地理空间上表现出集聚趋势;通过Moran散点图分析,得知内蒙古人口呈现两种不同的空间聚集模式:一类是以内蒙古中部与部分东部盟市组成的高-高(HH)聚集区,另一类是以内蒙古的西部盟市组成的低-低(LL)聚集区。并发现随着时间的增长,这种空间的格局呈现一种稳定性与过渡性。

This paper uses exploratory spatial data analysis(ESDA)tools to investigate the spatial correlation of population distribution in Inner Mongolia from 2005 to 2015.Through the analysis of Moran's I Index of global spatial autocorrelation,it is found that the population distribution in Inner Mongolia is not random,but shows the positive correlation pattern in space.That is to say,the leagues with close population levels tend to be geospatially convergent in population.According to the analysis of the Moran scatter plot,it is found that the pattern of population aggregation in Inner Mongolia shows roughly two different spatial types:the first is the HH agglomeration area formed by several eastern leagues and central part of Inner Mongolia,and the other is the LL agglomeration area formed by western leagues in Inner Mongolia.Apart from this,it proves that with the passage of time,such spatial pattern inclines to be stable and transitional.