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Grade interpolation into a block model includes the following functionality:
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A choice of interpolation methods including Nearest Neighbour, Inverse Power of Distance, Ordinary Kriging, Simple Kriging, Lognormal Kriging and Multiple Indicator Kriging.
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A consistent set of search volume and estimation parameters for all methods.
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Optimization of sample searching to improve processing speed.
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Multiple grades can be estimated in a single run.
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The same grade can be estimated by different methods.
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Different search volumes and estimation parameters can be used for the different grades.
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Rectangular or ellipsoidal search volume with anisotropy.
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A dynamic search volume allowing the volume to be increased if there are insufficient samples.
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Restriction of the number of samples by octant.
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Restriction of the number of samples by key field.
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Estimation by zone, with separate parameters for each zone.
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Wide selection of variogram model types for both normal and lognormal kriging.
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Automatic transformation of data if the input model is a rotated model.
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Unfolding option available for all estimation types.
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Parent cell estimation.
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Selective update of partial model.
