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以三峡库区王家沟小流域为研究区,在对土壤样本的理化性质进行分析和测量的基础上,用均方根误差、平均相对误差、一致性系数三个精度评价指标对克里克插值和案例推理方法用于土壤养分预测的精度进行了评价,并对这两种方法所获得的土壤养分空间分布图的效果进行了比较.研究结果显示,与克里克插值方法相比,案例推理方法不仅获得了较好的土壤养分预测精度,还获得了较好的制图效果.尤其是在没有采样点分布的区域,案例推理方法获得的土壤养分空间分布图也具有更高的详细度.
Taking Wangjiagou small watershed in the Three Gorges Reservoir area as a study area, the physical and chemical properties of soil samples were analyzed and measured. The root mean square error, average relative error and consistency coefficient Interpolation and case-based reasoning methods were used to evaluate the accuracy of soil nutrient prediction, and the effects of these two methods on spatial distribution of soil nutrients were compared.The results show that, compared with the interpolation method of Crick, Inference method not only obtained good soil nutrient prediction accuracy, but also obtained better mapping effect, especially in the regions without sampling points, the soil nutrient spatial distribution obtained by case-based reasoning method also has a higher degree of detail.