《Table 5 Mapping accuracy test of soil electrical conductivity》

  提示：宽带有限、当前游客访问压缩模式

本系列图表出处文件名：随高清版一同展现

《Mapping Soil Electrical Conductivity Using Ordinary Kriging Combined with Back-propagation Network》

1. 获取 高清版本忘记账户？点击这里登录

1. 下载图表忘记账户？点击这里登录

Notes:OK，ordinary kriging；BP，back-propagation network；RK，regression kriging；OK＿BP，ordinary kriging combined with back-propagation network；ME，mean error；RMSE，root mean squared error；RI，relative improvement；DIP，decrease in the estimation imprecision

The data presented in Table 1 showed that the averages of the soil electrical conductivity for training sites at0–30 cm and 30–50 cm were 1.03 dS/m and 0.55 dS/m，respectively.The soil electrical conductivity decreased with the increase of soil depth，which indicated thatsalts accumulated on the soil surface.According to the classification standard of variability by Nielsen and Bouma（1985），the soil salinity displays strong，medium and weak variability when the coefficient of variations is<10%，10%–100%and>100%，respectively.Accordingly，there were strong and medium spatial variability at the soil depths of 0–30 and 30–50cm，respectively.The soil electrical conductivity for the training sites was positively skewed，while the log-transformed soil electrical conductivity showed approximately normal distribution.Therefore，the mapping of soil electrical conductivity was conducted by log-transformed values，and ultimately，the prediction values of the soil electrical conductivity were back-transformed into the original values using the antilogarithmic function.