boitatá¶
my python tooling for day-to-day geostatistics.
boitatá holds the tools i use for resource work: drill hole checks, statistics, transforms, variograms, kriging, simulation and model checks.
start here¶
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one command:
pip install "boitata[all]". -
what a sample stands for, before any code.
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from samples to a checked estimate in one page of code.
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whole problems, from the question to the decision.
modules¶
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six chapters of geostatistics from the ground up, each with diagrams and runnable code.
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how the library is organized, so you can guess your way around it, and which page answers your question.
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a quick tour from samples to a checked estimate, plus short pages such as saving to parquet.
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drill holes, composites, block models, solids, meshes and GIS files.
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declustering, top cuts, contacts, swaths and data spacing before any model.
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normal scores, log-ratios, multivariate factors and imputation.
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experimental variograms, model fitting and coregionalization.
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point and block kriging, cokriging, indicators and search tuning.
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rock types as proportions, probabilities and simulated layouts.
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SGS, turning bands and cosimulation, reproducible from one seed.
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tonnes and grade above cutoff at the size of a mining block.
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cross-validation, swaths, realization checks and classification.
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grade shells, contact surfaces and layered horizons.
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four deposits, each from raw tables to a result.
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SNESIM on categories and on continuous values, with multigrid and hard data.