摘要
空间内插方法可分为点内插和面内插。点内插主要用于自然地理数据的插值,而面内插则主要用于社会经济统计数据的插值问题。社会经济统计数据是以面域为单位进行统计的,这不能表示它在空间的实际分布情况,社会经济统计数据的空间拓展就是要建立一个社会经济统计数据的空间分布模型,使统计数据符合它在空间的实际分布情况。文章采用栅格数据模型,运用面积权重法和反距离加权法对GDP值进行了空间拓展。
Spatial interpolation includes point interpolation and areal interpolation. The point interpolation is mainly used to deal with natural geography data and the areal interpolation is usually used to solve the interpolation problem of social economic statistic data. However, social economic statistic data are often collected by areas, which cannot represent their real spatial distribution. A spatial distribution model of social economic statistic data is to be established to conform to their real spatial distribution. Using the areal weighting interpolation and inverse distance weighted averaging, a spatial distribution model of GDP is established in this paper.
出处
《重庆建筑大学学报》
CSCD
2004年第1期35-39,共5页
Journal of Chongqing Jianzhu University
基金
国家"十五"重点科技攻关项目(2002BA107B04-2)
关键词
GIS
空间内插
点插值
面插值
空间拓展
地理信息系统
spatial interpolation
point interpolation
areal interpolation
spatial distribution
