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以江西省渝水区水北镇为研究区,利用823个采样点的耕地土壤养分数据,分析区内耕地土壤养分含量与海拔、坡度的相关性,采用协同克里格插值方法,结合海拔、坡度进行插值,并把经交叉检验后的结果与逆距离权重法、普通克里格法的结果进行比较。结果表明,结合海拔、坡度进行插值后,精度有明显提高。插值精度排序为协同克里格法>普通克里格法>逆距离权重法,在3种插值方法中,协同克里格法为最优插值法。
Taking Shuibei Town of Yushui District of Jiangxi Province as a study area, the correlation of arable land soil nutrient content with altitude and slope was analyzed by using 823 sampling sites of soil nutrient data. By using the method of collaborative Kriging interpolation and combining with elevation, The slope is interpolated and the results of cross-validation are compared with the results of inverse distance weighting and normal kriging. The results show that the accuracy is improved obviously after interpolation with altitude and slope. The order of interpolation precision is the collaborative kriging method, the ordinary kriging method and the inverse distance weighting method. Among the three kinds of interpolation methods, the collaborative kriging method is the optimal interpolation method.