ABSTRACT
Interpolation refers to the process of making mathematical guesses about the values of a variable from an incomplete set of those values. Spatial interpolators use the spatial characteristics of a variable, and the observed values of that variable to make a guess as to what the value of the variable is in other (unobserved) locations. For example, if a regularly spaced auger survey revealed an easily identifiable horizon, then it may be desirable to try to produce a contour map of that deposit from the points of the survey. In this case a spatial interpolator would have to be used to predict the values of the variable (in this case the topographic height of deposit X) at all the unsampled locations.
