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首页> 外文会议>2011 19th International Conference on Geoinformatics >The use of spatial autocorrelation to analyze changes in spatial distribution patterns of population density in Jiangsu province, China
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The use of spatial autocorrelation to analyze changes in spatial distribution patterns of population density in Jiangsu province, China

机译：利用空间自相关分析江苏省人口密度的空间分布格局变化

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摘要

Spatial autocorrelation is an important spatial statistical method in Geographic Information Systems, which can reveal spatial structures and patterns of regional variables. With this method, this article calculates the population density's spatial correlation model for county-level units in Jiangsu province of China in 2001, 2002, 2003 and 2004, explores and demonstrates every county-level's global and local spatial correlation, and analyzes factors influencing the patterns of Jiangsu province's population distribution. The study results show that the population density's global Moran's I reaches significant spatial positive correlation, and presents apparent spatial agglomeration. Furthermore, the population density's local Moran's I cluster maps display that local spatial agglomeration of the population distribution in Jiangsu is also very significant. The study results demonstrate that statistical analysis of spatial autocorrelation can well reveal population distribution patterns, the concentration of population and its hot changes and internal mechanism, and it's important for government macro-decision making such as rational distribution programs for population and urbanization policy. According to this conclusion, this article proposes some suggestions to promote the sustainable development of future population and economy in Jiangsu.
机译：空间自相关是地理信息系统中一种重要的空间统计方法，可以揭示区域变量的空间结构和格局。通过这种方法，本文计算了江苏省2001、2002、2003和2004年县级单位的人口密度空间相关性模型，探索并论证了每个县级的全球和局部空间相关性，并分析了影响该指标的因素。省人口分布格局研究结果表明，人口密度的整体Moran's I呈显着的空间正相关，并呈现明显的空间集聚。此外，人口密度的局部Moran's I聚类图显示，江苏人口分布的局部空间集聚也非常重要。研究结果表明，空间自相关的统计分析可以很好地揭示人口分布格局，人口集中度及其热点变化和内部机制，对于政府宏观决策如人口合理分配方案和城市化政策具有重要意义。根据这一结论，本文对促进江苏省未来人口和经济的可持续发展提出了一些建议。

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