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Multicollinearity analysis of each factor

Multicollinearity analysis of each factor

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Figure 2
Table 5
Multicollinearity analysis of each factor
Related variables in LR equations
Statistical comparison results of groundwater potential of each model
Characterizing Groundwater Potential Using GIS-Based Machine Learning Model in Chihe River Basin, China
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  • Nov 2021
Mapping of groundwater potential over space, built by synergizing environmental variables and machine learning models, was of great significance for regional water resources management. Taking the Chihe River basin in Anhui province as an example, thirteen influence factors were used to predict the spatial distribution of groundwater, including ele...
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... inuence factors in this study were checked for multicollinearity in SPSS 22.0 software. Results showed that the highest value of VIF is 3.597 and the lowest value of TOL is 0.278 (Table 2). It indicates that these factors are independent of each other. ...

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