土壤2013，Vol.45Issue(3)：533-539,7.
空间回归分析在土壤属性预测制图中的应用
Study on Predicated Mapping of Soil Property Based on Spatial Regression Analysis
摘要
Abstract
In this paper Mengjin County of Henan Province we selected as the study area,slowly available K contained in topsoil was spatially predicated by the method of spatial regression analysis with the terrain characteristics,included slope,elevation,curvature and CTI.The results indicated that the slowly available K had a distance threshold of spatial autocorrelation around 10 000 m and a significant correlation between slope,elevation,curvature and soil available K.Although output precision of the spatial regression model was quite similar to that of the classic regression ones,the spatial regression model displayed an evident advantage to reveal further the spatial distribution pattern and variation characteristics of soil property.关键词
土壤属性/土壤缓效钾/环境协变量/空间回归模型/土壤预测制图Key words
Soil property/ Slowly available potassium/ Environmental covariate/ Spatial regression model/ Predictive soil mapping分类
农业科技引用本文复制引用
刘晓冰,程道全,刘鹏飞,宋轩,陈杰..空间回归分析在土壤属性预测制图中的应用[J].土壤,2013,45(3):533-539,7.基金项目
国家自然科学基金项目(40971128)资助. （40971128）
