ABSTRACT
In this chapter, we will continue the study of geostatistics that we commenced in Chapter 8. We will look at Kriging methods, which are techniques to predict values of regionalized variables in nonsampled points of a spatial domain using a collection of sampled points. This set of sampled points form a marked point pattern, which can be regular or irregular (Figure 12.1). As explained in Chapter 8, we calculate similarity (using the covariance) or dissimilarity (using the semivariance, Figure 12.2) between points separated at given distances and generate a model of the covariance and semivariance as a function of lag (Figure 12.3).
