Kriging space surface fitting and application based on genetic algorithm
Zhifeng Liu, Zhenhua Wei, Xia Ju · 2009
Semi-variant function as an important mathematical model of Kriging spatial analysis can effectively describe the features of the variants (such as ore grade, thickness of ore body) in some districts of ore deposit. This paper introduced the method that how to use genetic algorithm (GA) to estimate the semi-variant function parameters for Kriging spatial analysis and this method is applied to establish the three-dimensional (3D) overburden model of the prospecting area for a hydropower project successfully.