Site characterization · Soil remediation · Excavation volumes
Pollution does not vary uniformly across a site. See how geostatistics can improve sampling, integrate available information, and quantify uncertainty in impacted zones.
Categorical workflow · Facies model · PGS & SIS scripting
Need a repeatable categorical-modeling pipeline? Script Isatis.py operations for indicator kriging, PGS and SIS, then generate and review facies models.
Workflow automation · Large dataset · Anisotropy configuration
Need reproducible simulation pipelines? Script Isatis.py operations for continuous realisations, HDF5 files, support options, local anisotropy and validation.
Need to automate spatial estimation? Configure Isatis.py workflows for variograms, simple and ordinary kriging, validation and polygon-based domain handling.
Need a repeatable data-preparation pipeline? Script Isatis.py operations for vizualisation, declustering, drillhole compositing, PCA, and contact analysis.
Custom calculations · Python libraries · Data processing
Go beyond built-in formulas. Use the Isatis.neo Python Calculator to create custom data treatments, integrate Python libraries and turn project-specific logic into reusable calculations.
Capture the full range of possible grade outcomes. Apply conditional simulation and post-processing to quantify uncertainty and produce realistic recoverable resource estimates.
Choose the right nonlinear method for your deposit. Build practical command of Multiple Indicator Kriging and Conditional Expectation to estimate recoverable resources with confidence.
Grade-tonnage curves ·Localized Uniform Conditioning (LUC) · Change of support
Turn sparse sampling into reliable grade-tonnage curves. Master Uniform Conditioning to estimate grade, tonnage and metal above cut-off, and strengthen recoverable resource estimates.
Decorrelation · Multivariate imputation · Heterotopic data
Keep complex multivariate estimates coherent. Use PCA, MAF and PPMT to decorrelate variables, impute missing assays and preserve sum or ratio constraints in estimation and simulation.
Decorrelation · Multivariate imputation · Heterotopic data
Keep complex multivariate estimates coherent. Use PCA, MAF and PPMT to decorrelate variables, impute missing assays and preserve sum or ratio constraints in estimation and simulation.
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