3. Analysis

The Analysis window summarises the general accuracy of the block model using a leave-one-out cross-validation analysis. This iteratively removes each borehole data point (or each full borehole when the Remove Entire Borehole control is selected) one at a time and estimates the result at all data point locations using nearest neighbour, inverse distance weighting and kriging. The leave-one-out prediction is then compared to what the true value was at each point and the cumulative percentage error is plotted on a probability of non-exceedance plot. A distribution of the parameter values across the borehole readings is also provided to assist in understanding the cross-validation output.

Select the domains to be analysed, and the results within these domains will be automatically plotted. The plots are intended to show both an overall model accuracy and a comparison of interpolation methods to identify which is most suited for each parameter. The proportion of results that fall within a desired error margin in prediction should be identified to confirm if they should be considered trustworthy.