![]() ![]() There is no doubt that the prerequisites to kriging are more important than the details of the kriging plan. These restrictions and concerns are the subject of this lesson. The kriging search plan is typically restricted due to concerns about computational time, stationarity, conditional bias, and histogram reproduction. The number of data and locations of data used to inform the estimate compose the kriging search plan. Kriging is a linear unbiased estimator that minimizes the estimation variance using a site-specific variogram model of spatial variability accounting for anisotropy and other spatial features (Journel & Huijbregts, 1978). Kriging is the primary technique for the estimation of grades. This lesson relates primarily to mining where estimation is still widely practiced for resource and reserve estimation. Understand stationarity, kriging performance measures, and other concerns when choosing a kriging search plan.Know best practice in choosing a fit-for-purpose kriging plan.Classify estimates according to their purpose: interim estimation, final decisions, visualization, and probabilistic prediction.University of Alberta OctoLearning Objectives ![]() Introduction to Choosing a Kriging Plan Clayton Deutsch
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