Available with Geostatistical Analyst license.
Tools for pre- and postprocessing when developing interpolation models using the Geostatistical Analyst.
Removes one data location then predicts the associated data using the data at the rest of the locations. The primary use for this tool is to compare the predicted value to the observed value in order to obtain useful information about some of your model parameters.
Creates a layer of points based on a user-defined neighborhood.
This tool performs a sensitivity analysis on the predicted values and associated standard errors by changing the model's parameters (the nugget, partial sill, and major/minor ranges) within a percentage of the original values.
Divides the original dataset into two parts: one part to be used to model the spatial structure and produce a surface, the other to be used to compare and validate the output surface.