Gradient-enhanced kriging is a type of mathematical modeling used to predict something in the environment. It combines two different math methods, kriging and gradient-enhancement, to make more accurate predictions. Kriging takes measurements from different points and measures how these points might be connected, like dots in a connect the dots picture. Gradient-enhancement uses an algorithm to look for patterns in the data, like how it looks if you draw a line between all the dots. By combining these two methods, gradient-enhanced kriging can make more accurate predictions about what will happen in the environment.