STOCHASTIC SIMULATION
1. The combination of using a linear estimator (the kriging estimator) to assign a best weighted linear estimate at unsampled locations and a random residual drawn through Monte Carlo simulation from the local conditional distribution (i.e. local uncertainty) at each location estimated.

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