摘要
人口分布空间化是解决统计数据与自然要素数据融合分析的有效途径。本文基于2009年重庆市的人口统计数据,以居民点为指示因子,使用GIS空间分析与统计学分析方法分析居民点分布与影响因子之间的相关性,相关性分别为-0.608、-0.902、0.94、0.994、0.952、0.995、0.957。利用居民点缓冲区的概念,用因子分析法得到海拔高度、土地利用、道路交通及河流水系4个因子对人口分布的影响权重,分别为0.726 75、0.000 6、0.026 7及0.248 0,然后通过数据融合实现研究区人口统计数据的空间化。结果表明,通过数据融合产生的人口密度与各区县实际平均人口密度的相关系数大于0.85。最终生成的栅格人口密度数据在一定程度上反映了研究区内部人口分布的空间化。
Spatial distributing of statistical population data is an effective way to integrate statistical data and natural factors. Based on the statistical population data of Chongqing in 2009, this paper analyzed the relationship between population density and the aver- age elevation, arable index, urban and rural settlements and mining land index, drainage density, road network density, town settle- ments and village settlements by means of GIS technique and statistical methods, correlations were shown -- 0. 608, -- 0. 902, 0. 940, 0. 994, 0. 952, 0. 995 and 0. 957. The paper used the concept of settlement buffer, assigned the weight values of altitude, land use, road traffic and river system on the influence of the population distribution. The weight values were 0. 72675, 0. 0006, 0. 0267 and 0. 2480, and realized the spatialization of population census for study area completely through the multiple spatial sources data fusion method. The result shows that there are correlations of ratio 〉0.85 between the population density generated by data fusion and at the actual average population density at the counties lever. To a certain extent, the finally generated grid population density reflects changes of population distribution inside study area.
出处
《重庆师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2013年第5期50-55,共6页
Journal of Chongqing Normal University:Natural Science
基金
重庆市气象局开放基金(No.Kfjj-201103)
重庆市博士后科研项目特别资助基金(No.渝xm201102001)
资源环境与生态建设重庆市高校创新团队基金
关键词
人口分布
空间化
GIS
重庆都市区
population distribution
spatialization
GIS
metropolitan area of Chongqing
