geo-infer-spm
CommunityUnlock geospatial insights with advanced statistics.
AuthorActiveInferenceInstitute
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill empowers users to perform complex statistical analyses on geospatial data, uncovering hidden patterns and relationships within spatial and temporal datasets.
Core Features & Use Cases
- Statistical Parametric Mapping (SPM): Create statistical significance maps for identifying hotspots and gradients.
- Spatial Regression & Geostatistics: Model spatial dependencies, perform kriging interpolation, and fit models like GWR.
- Hypothesis Testing: Rigorously test spatial hypotheses using methods like Moran's I and cluster analysis.
- Use Case: Analyze climate data to detect significant warming trends in specific regions, accounting for spatial autocorrelation and temporal dependencies.
Quick Start
Use the geo-infer-spm skill to analyze spatial trends in air quality data by fitting a GLM model.
Dependency Matrix
Required Modules
numpyscipypandasgeopandasxarrayscikit-learnmatplotlibplotlyh5pyrasterio
Components
scriptsreferencesdocsexamplesconfigtests
💻 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-spm Download link: https://github.com/ActiveInferenceInstitute/GEO-INFER/archive/main.zip#geo-infer-spm Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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