Need maintainable geostatistical automation? Learn Python fundamentals and use Isatis.py libraries to turn recurring technical tasks into clear, reusable scripts.
Model multi-element deposits with consistency. Use PCA, kriging and cokriging to respect relationships between metals, oxides and elements, and improve multivariate resource estimates.
Build a strong foundation in mineral resource estimation. Follow the univariate workflow, from data analysis and variography to block modeling, kriging, validation and grade-tonnage curves.
Turn spatial data into sound decisions. Learn to analyze datasets, map surfaces, model subsurface properties and quantify uncertainty with practical geostatistical workflows.
Site characterization · Soil remediation · Excavation volumes
Radiological contamination is spatially heterogeneous. See how geostatistics helps assess sampling, map uncertainty and evaluate affected volumes for decommissioning projects.
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