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基于GWR模型的河南省人口分布的影响因素研究
引用本文:沈思连,王春伟,汤静.基于GWR模型的河南省人口分布的影响因素研究[J].数学的实践与认识,2014(3).
作者姓名:沈思连  王春伟  汤静
作者单位:河南科技大学数学与统计学院;
基金项目:国家自然科学基金青年科学基金(11201123);国家自然科学基金数学天元基金(11326181);博士科研启动基金(09001624)
摘    要:近年来,人口作为一种基本信息已成为目前研究的热点问题之一.人口分布可能受自然,经济,社会,政治等诸多因素的影响.因此,人口分布的研究对于了解不同类型区域的人口资源与经济发展之间的关系,因地制宜地发展本地经济具有重大意义.课题以河南省统计年鉴数据为基础,研究河南省人口分布的影响因素.具体来说,首先利用Surfer软件的可视化技术研究了河南省人口数量的空间变化特征.其次,利用近年来发展起来的地理加权回归模型对河南省人口分布的影响因素进行了定量分析.通过上述分析提取有效信息,从而为制定合理的人口政策和实现人口的有序流动提供必要的理论支持.

关 键 词:地理加权回归  局部线性拟合  高斯-吕克格投影  空间非平稳性  F-检验

Research on Influential Factors of Population Distribution in Henan Province Based on GWR Model
Abstract:In recent years,the population,as one kind of basic information,has become one of the hottest issues which we studied.Population distribution may be affected by many factors,such as natural,economic,social and political elements.Therefore,it makes great sense for learning the relationship between the different types of regional population resources and the economical development and adjusting measures to local conditions to develop economy.Based on the data which is from the statistical yearbook of Henan province,this paper focuses on studying the influential factors of population distribution.Specifically,the visualization technique of Surfer software is first used to study the spatial characteristics of the total population in Henan province.Secondly,the geographically weighted regression model developed in recent years is applied to investigate the influential factors of population distribution.Through the above analysis,some effective information is extracted to make reasonable population policy of Henan province and to realize the orderly flow of population.
Keywords:geographically weighted regression  local linear fitting  gauss-kruger projection  spatial nonstationarity  f-test
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