县域尺度土壤样点密度与插值精度研究——以土壤pH值为例  

Soil Sample Density and Interpolation Accuracy on County Scale——A Case Study on Soil pH

作　　者：王金国[1] 周卫军[1] 王彬武[1] 陈冲[1] 

机构地区：[1]湖南农业大学资源环境学院,湖南长沙410128

出　　处：《湖南农业科学》2011年第11期27-30,共4页Hunan Agricultural Sciences

基　　金：国家"十一五"科技支撑计划项目(2009BADC6B005);湖南省研究生科技创新基金项目

摘　　要：土壤特性空间变异性的研究是进行精准施肥的基础,也是目前国内外研究的热点之一。空间插值是进行土壤特性空间研究的基本方法,但土壤样点密度对插值的精度有重要的影响。以湖南省衡东县耕地土壤pH值为例,研究了土壤样点密度与插值精度的关系。结果表明:绝对平均误差(MAE)、相对平均误差(MRE)及均方根误差(RMSE)都随着土壤样点密度的增大而降低;当土壤采样点采样密度为480×480 m2/点时,验证样点的实测值与预测值没有相关性。Spatial variability of soil, having been given increasing concern all over the world, is the basis for precision fertilization research. Spatial interpolation is the basic method for space＂ research of soil properties. However, the soil sampling density significantly affected on interpolation accuracy. In this paper, the pH value of arable soil in Hengdong County of Hunan province was used to study the relationship between soil sample density and interpolation accuracy. The results showed that the mean absolute error （MAE）, the mean relative error （MRE） and the root mean square error （RMSE） reduced with increasing soil sample density; when the soil sampling density was 480 × 480 m2/ point, the measured values of the validation sample had no correlation with the predictive value.

关 键 词：土壤采样密度 误差 插值精度 PH值 空间变异 

分 类 号：S159[农业科学—土壤学]