meteorology-driver-classification
OfficialGroup variables into driver categories.
Data & Analytics#data-analysis#attribution#meteorology#driver-classification#environmental-data#variable-grouping#derived-variables
AuthorGeneralReasoning
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Classify environmental and meteorological variables into driver categories for attribution analysis. Grouping variables into Heat, Flow, Wind, and Human categories helps simplify interpretation and supports downstream attribution tasks.
Core Features & Use Cases
- Group raw variables into coherent driver categories (Heat, Flow, Wind, Human) based on physical meaning.
- Provide a pathway for creating derived variables (e.g., NetRadiation) to enable composite analyses.
- Support attribution workflows by producing a categorized feature set ready for statistical modeling or causal analysis.
Quick Start
Classify your environmental dataset by providing the variables to map; the system will assign each to a driver category for attribution.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: meteorology-driver-classification Download link: https://github.com/GeneralReasoning/env-skillsbench/archive/main.zip#meteorology-driver-classification Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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