GeoSmith
*Smith for geospatial ML models with strict 4-layer architecture.
Features
- 4-Layer Architecture: Clean separation between objects, primitives, tasks, and workflows
- Optional Integrations: Works seamlessly with PlotSmith, AnomSmith, and TimeSmith
- Geostatistics: Variogram analysis, kriging, IDW interpolation
- Mining Tools: Block models, drillhole processing, ore grade estimation
- I/O Support: GRDECL, LAS, vector/raster formats
- No Hard Dependencies: Core works with just NumPy and Pandas
Installation
# Core installation
pip install geosmith
# With optional integrations
pip install geosmith[plotsmith,anomsmith,timesmith]
# Everything
pip install geosmith[all]
Quick Start
from geosmith import PointSet, OrdinaryKriging
from geosmith.primitives.variogram import fit_variogram_model
# Create sample points
points = PointSet(coordinates=sample_coords)
# Fit variogram and kriging
variogram = fit_variogram_model(lags, semi_vars)
kriging = OrdinaryKriging(variogram_model=variogram)
kriging.fit(points, values)
# Predict
result = kriging.predict(query_points)
*Smith Family Integration
GeoSmith works seamlessly with other *Smith libraries:
- PlotSmith: Publication-ready plots (optional) - https://github.com/kylejones200/plotsmith
- AnomSmith: Spatial anomaly detection (optional) - https://github.com/kylejones200/anomsmith
- TimeSmith: Time series compatibility (optional) - https://github.com/kylejones200/timesmith
See SMITH_FAMILY_INTEGRATION.md for details.
Documentation
- Architecture - 4-layer architecture overview
- Migration Guide - Migrating from GeoSuite
- Smith Family Integration - PlotSmith, AnomSmith, TimeSmith integration
- GeoSuite Migration Assessment - What's been migrated from GeoSuite
1 maintainer
Metadata
1 maintainer
Release files for geosmith 0.1.1
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| File | Size | Uploaded | Provenance | Actions |
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Total release size: 933.5 kB
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