The utilization of soft transformation and genetic algorithm to model two sources of uncertainty of Indicator Kriging

► We model two sources of uncertainty of Indicator Kriging in this study. ► The two sources are measurement errors and subjective choice of thresholds. ► We use soft transformations to model the uncertainty arisen from measurement errors. ► We use genetic algorithm to obtain the optimum set of thresholds of Indicator Kriging. ► The accuracy of the combinatory method is compared with that of Indicator Kriging and Soft Indicator Kriging.