tailieunhanh - Spatial prediction of flood-prone areas using geographically weighted regression

The best-performing model was the first test, indicating that direct input of the screened parameters was the ideal modelling process. This test had the lowest corrected Akaike Information Criterion (), the highest percentage of deviance explained (), lowest spatial autocorrelation of residuals () and transformed residuals (), highest success accuracy (), and second-best prediction accuracy (). |

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