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.
Map surface contamination on soils and building structures, classify it against your radiological thresholds, and see exactly where your survey is not enough.
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
Move from samples to confident remediation decisions. Learn to map contamination, estimate impacted volumes and quantify uncertainty using rigorous, practical geostatistical methods.
Automate repetitive work without coding. Record tasks, add variables, loops and conditions, and turn everyday Isatis.neo operations into robust workflows you can reuse across projects.
Need maintainable geostatistical automation? Learn Python fundamentals and use Isatis.py libraries to turn recurring technical tasks into clear, reusable scripts.
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