Estimation
On the Block Model tab, in the Estimation group:
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Click Grade Copilot to use cloud-based neural network modelling to populate a block model or volume file with numerical and/or categorical data.
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Click Grade Estimator to perform attribute and multi-domain interpolation runs using processes such as Kriging and IDW.
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Click Inverse Distance Weighting to model homogeneous deposits or deposits where the strike and dip remain reasonably constant. When deposits contain multiple structures, you can create a separate volume for each (sub-model) and correct the orientation of the data search ellipsoid.
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Click Kriging to populate a block model using Kriging or Co-kriging.
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Click Rank Kriging to populate a block model using a uniform data distribution.
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Click Multiple Indicator Kriging to define a series of cutoff values and apply the same indicator method again for each cutoff.
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Select Multiple Indicator Kriging | Generate Cutoffs to generate Cutoff bin (lower to higher threshold) values for MIK (Multiple Indicator Kriging).
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Select Multiple Indicator Kriging | Variogram Inspector.to compare and visually validate the variograms generated from an MIK (Multiple Indicator Kriging) Cutoff Set.
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Click Statistical to calculate the mean, median and standard deviation for each block in a block model. The function calculates these values using the data points contained in a block.
