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tillytales92/Egypt-Climate-and-Migration

Domaine:

climatesocioeconomic
Créateur:
til
Hôte:
Data Work on STEG "Migration in the Face of Climate Change: Assessing the Potential of Ultra-Poor Graduation Programs" project # Egypt Climate and Migration This repository shows the data work for a climate and migration research project for the STEG (Structural Transformation and Economic Growth) initiative, focusing on "Migration in the Face of Climate Change: Assessing the Potential of Ultra-Poor Graduation Programs" in Upper Egypt. The work encompasses data acquisition, processing, and aggregation of climate variables at both governorate and household levels to enable a rigorous analysis of climate vulnerability and its relationship to migration decisions. See WorkDocumentation.pdf for a more detailed background on the project. ## Project Overview The project analyses climate vulnerability and stress in the Assiut and Suhag governorates of Upper Egypt by combining: - **Satellite climate data** (1960-2024): Temperature, heat indices, precipitation, drought indicators - **Household survey data**: Primary survey data from households in Assiut and Suhag - **Population data**: Spatial population distribution (LandScan) The analysis measures climate exposure at both governorate and household levels, identifying climate shocks, trends, and vulnerability patterns relevant to migration decisions. ## Repository Structure ### Code Directory The code is organized into a **sequential processing pipeline** with numbered folders: ``` Code/ ├── 1_Raster Data/ # Download and process satellite/climate rasters ├── 2_Governorate Data/ # Extract climate data at governorate level ├── 3_Household Data/ # Process household surveys and extract climate exposure └── 4_EDA/ # Exploratory data analysis, visualization, and reporting ``` #### Script Numbering Convention Within each folder, scripts use numbered prefixes indicating their processing stage: - **0_**: Preliminary/exploratory analyses (e.g., `0_HH_GPSimputation.R`) - **1_**: Data download and initial processing (e.g., `1_Download_ERA5_temperature.R`) - **2_**: Data extraction (e.g., `2_Extraction_ERA5_Tem …