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以河南省孟津县为研究区,选取坡度、高程、地面曲率和复合地形指数(CTI)作为表层土壤缓效钾含量空间预测的环境协变量,系统探讨了空间回归分析技术在土壤属性预测制图中的应用。结果表明:土壤缓效钾的空间自相关距离阈值约为10 000 m,与坡度、高程和地面曲率存在显著相关性;尽管空间回归模型的预测精度和普通回归模型相近,但前者可以更加准确地表征土壤缓效钾的空间分布格局及空间分异细节特征。
Taking Mengjin County of Henan Province as the study area, the spatial covariance of slope, elevation, curvature of the ground and composite topography index (CTI) was selected as the spatial covariance of spatial prediction of soil available K content in surface soil. The spatial regression analysis technique Applications. The results showed that the spatial autocorrelation distance threshold of slow-acting potassium was about 10 000 m, which was significantly correlated with slope, elevation and ground curvature. Although the prediction accuracy of spatial regression model was similar to that of general regression model, the former could be more accurate Characterization of Spatial Distribution Pattern and Spatial Differentiation Characteristics of Slow K Content in Soil.