《Table 4 The parameters of Multiple linear regression model (MLR) and Geographically weighted regres

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《Combining Environmental Factors and Lab VNIR Spectral Data to Predict SOM by Geospatial Techniques》

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Notes:SE:standard error；VIF:variance inflation factor；CV:coefficient of variation；PC:principal component；ILUT:the index of land use type，LSWI:land surface water index，EVI:enhanced vegetation index，NDC:the nearest distance to construction land，RDLS:roug

The next step involved combining the spectral reflectance and environmental variables to construct the prediction models of SOM by MLR and GWR.The parameters of MLR and GWR are shown in Table 4.The absolute values of the coefficient of these auxiliary variables in descending order in MLR were PC2（3.14），PC1（2.76），PC3（2.66），PC4（2.29），ILUT（1.38），Elevation（–0.85），LSWI（–0.64），EVI（–0.39），RDLS（–0.32）and NDC（–0.11）.All of the VIF values were less than 7.0，suggesting that there was no multicollinearity among these auxiliary variables.The descending order of the absolute mean values of these coefficients in GWR was same with MLR.