![]() ![]() This non-linear resource estimation technique is commonly used when the sample grade distribution is skewed, or drilling is wide-spaced. Users can now assess resources through Multiple Indicator Kriging (MIK). Statistics before and after capping are computed for each test value to support decision making. Isatis.neo lets users test a range of bottom or top-cut values to help identify the most appropriate one for the deposit or dataset. It allows capping of the higher or lower values in heavy-tailed distributions to ignore outliers and make the estimation more robust. Users can run estimation on sub-block models or migrate estimates or simulation results from regular block to sub-block models for further processing. Sub-celling is done from either side of domain boundaries. It is now possible to create sub-block models from scratch. ![]() The smart selection of a representative subset of simulations for efficient risk analysis.Grade variation analysis from either side of domain boundaries.Resource estimation through Multiple Indicator Kriging (MIK).Grade capping for more robust estimation. ![]()
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