geo-infer-bayes
CommunityUnlock geospatial insights with Bayesian inference.
Data & Analytics#probabilistic modeling#uncertainty quantification#bayesian inference#geospatial analysis#spatial statistics#gaussian processes
AuthorActiveInferenceInstitute
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill empowers users to perform advanced statistical analysis on geospatial data, enabling robust inference and decision-making under uncertainty.
Core Features & Use Cases
- Probabilistic Modeling: Build sophisticated Bayesian models for spatial and spatio-temporal data.
- Uncertainty Quantification: Accurately assess and communicate the uncertainty associated with predictions.
- Use Case: Analyze environmental sensor data to predict pollution levels across a region, providing not just the most likely values but also a measure of confidence in those predictions.
Quick Start
Use the geo-infer-bayes skill to fit a spatial Gaussian Process model to the provided data.
Dependency Matrix
Required Modules
arvizcmdstanpygeopandasmatplotlibnumpypandaspymcrasterioscipytensorflow-probabilityxarray
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: geo-infer-bayes Download link: https://github.com/ActiveInferenceInstitute/GEO-INFER/archive/main.zip#geo-infer-bayes Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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