
This repository contains the data, analytical outputs, and supplementary materials supporting the manuscript:
"Agricultural Resilience in Sub-Saharan Africa: Identifying Resilience Drivers and Productive Vulnerability Under Rainfall Shocks."
Contents include:
• Harmonized household survey data from seven African countries.
• Supplementary tables and model outputs.
• SHAP-based explainable AI analyses identifying heterogeneous resilience drivers.
• Figures used in the manuscript and supplementary materials.
• Documentation describing data processing and variable harmonization.
Key findings supported by this repository include:
• Validation of a −50 mm rainfall threshold associated with productivity collapse.
• Identification of heterogeneous resilience drivers across countries using explainable machine learning methods.
• Demonstration of 39% monitoring recall efficiency for productive vulnerability detection.
This repository is provided to support transparency, reproducibility, and future research on agricultural resilience and climate vulnerability in Sub-Saharan Africa.