geostatspy
CommunityGeostatistics: variograms, kriging, SGSIM.
AuthorSteadfastAsArt
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Geostatistics requires specialized tools to analyze spatial data; this Skill provides a Python-based framework for variogram analysis, model fitting, kriging, and simulation workflows, enabling rapid, repeatable geostatistical analyses.
Core Features & Use Cases
- Experimental variogram computation (isotropic and directional) and variogram modeling.
- 2D simple/ordinary kriging on grids, with optional search radii and data conditioning.
- Sequential Gaussian Simulation (SGSIM) and declustering for uncertainty quantification.
- Normal score transforms and back-transform utilities for robust statistics and data normalization.
- Use case: characterize porosity fields, generate realizations for reserves assessment, and compare variogram fits against field data.
Quick Start
Run a minimal variogram analysis and kriging workflow on your spatial dataset to obtain an initial geostatistical estimate.
Dependency Matrix
Required Modules
numpypandasmatplotlibgeostatspy
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: geostatspy Download link: https://github.com/SteadfastAsArt/geoscience-skills/archive/main.zip#geostatspy Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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