人口分布空间插值及其在农牧交错带中的应用  

Spatial distribution of population based on interpolation and its application in the farming-pastoral transition regions

作　　者：周小平[1] 王志伟[1] 张学通[1] 李春娥[1,2] 九次力[1,3] 陈全功[1] 

机构地区：[1]兰州大学草地农业科技学院农业部草地农业生态系统学重点实验室,甘肃兰州730020 [2]新疆气象职成教育培训中心,新疆乌鲁木齐830013 [3]甘南州林业技术综合服务中心,甘肃合作747000

出　　处：《草业科学》2010年第6期143-152,共10页Pratacultural Science

基　　金：863计划数字农业技术课题(2006AA10Z241)

摘　　要：以2000年人口普查数据等为基础,分别比较了几种常用插值方法在研究区(巴彦淖尔市)人口分布空间化中的应用,研究表明:5种面插值方法得出的研究区人口总数与研究区统计数据均相差不到0.1%,但是存在相邻两地区在行政区划边界线内外数值非线性巨变的缺点;行政中心点控制下的点插值方法虽然能够克服前述缺点,但是得出的研究区人口总数是统计人口总数的4倍多,此结果显然不能作为人口分布结果;多点控制下的点插值方法得到的人口总数是统计人口总数的3/4,虽然控制点已经足够多,但是仍不能克服前述缺点,也不能作为人口分布的结果;研究区外围调节点控制下的点插值方法得出的人口总数占统计人口总数的98.22%,同时能够克服前述缺点。以这种方法对全国人口数据进行人口分布空间化插值,再将全国人口密度和农牧交错带进行栅格赋值比较,得出人口密度同农牧交错带的一致性为0.6413。因此,人口分布能够作为一个重要的因素应用于农牧交错带的研究中。Several widely used methods were used to compare the effectiveness on spatial distribution of population for Bayan Nur city,based on Census Data of 2000.The results of this study showed that the gross population obtained by five surface interpolation methods was similar to the statistical population and the difference was below 0.1%,but the population value of neighboring areas showed a non-linear great change in theirs administrative regionalization boundary inside and outside.Although the administrative central point as control point spot interpolation method overcame the great changes in population between neighboring two areas,the gross population was more than 4 times of statistical gross population.This implied that and the administrative central point as control point spot interpolation method was not better way to determine spatial distribution of population.The gross population using the many spot as control point spot interpolation method was 75% of the statistical gross population;therefore,it was not also a better approach.This study indicated that the gross population obtained by the periphery adjustment points as control points spot interpolation method was 98.22% of the statistical gross population,and the periphery adjustment points as control points spot interpolation method improved the great changes in population between neighboring two areas.Such,this method was a better approach to spatial interpolation of population distribution for national population.This study also compared the grid chart of nation population density with the grid chart of farming-pastoral transition population density and drew a conclusion that the uniformity of population density between national and farming-pastoral transition regions was 0.641 3.The population distribution was an important field in the research of the farming-pastoral transition regions.

关 键 词：GIS 人口分布 空间插值 农牧交错带 

分 类 号：S181[农业科学—农业基础科学]