ntl-gdp-regression-analysis
CommunityCompare GDP-NTL models with robust regression.
Authorguihousun
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Systematically analyzes the relationship between Annual Nighttime Light (ANTL) and GDP across multiple years to derive a data-driven GDP indicator from nighttime imagery.
Core Features & Use Cases
- Multi-model regression suite (Linear, Log-Linear, Quadratic, Power, Exponential) to compare how ANTL relates to GDP.
- Diagnostic reporting (R², RMSE, AIC, BIC) and model selection with clear rationale.
- Outputs include regression parameters, predictions, and visualizations for decision-ready insights.
- Real-world use: estimate regional GDP from annual ANTL data for 5–10 year windows and validate against official statistics.
Quick Start
Run a cross-year ANTL-GDP regression workflow to compare models, select the best fit, and generate Shanghai GDP-NTL indicators with visuals.
Dependency Matrix
Required Modules
pandasnumpyscikit-learnstatsmodelsmatplotlib
Components
Standard package💻 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: ntl-gdp-regression-analysis Download link: https://github.com/guihousun/NTL-GPT-Clone/archive/main.zip#ntl-gdp-regression-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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