geo-infer-math
CommunityGeospatial math & statistics foundation
AuthorActiveInferenceInstitute
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides foundational mathematical and statistical capabilities for geospatial analysis, enabling complex spatial computations and modeling.
Core Features & Use Cases
- Spatial Statistics: Moran's I, Getis-Ord G*, LISA, semivariograms for analyzing spatial patterns.
- Interpolation: IDW, Kriging, Splines for estimating values at unsampled locations.
- Geometry & Transforms: Distance calculations, coordinate transformations, projections for spatial data manipulation.
- Use Case: Analyze air quality data across a city to identify pollution hotspots and understand spatial autocorrelation, informing public health initiatives.
Quick Start
Use the geo-infer-math skill to calculate the spatial autocorrelation of air quality data using Moran's I.
Dependency Matrix
Required Modules
numpyscipypandaspsutilscikit-learnsympy
Components
scriptsreferencesassets
💻 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: geo-infer-math Download link: https://github.com/ActiveInferenceInstitute/GEO-INFER/archive/main.zip#geo-infer-math Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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