Hamza098-code/Morocco-Water-Stress-Analysis
Domain:
environment and energyclimateCreator:
Ham
Host:
Data-driven analysis of water scarcity in Morocco. Utilizes Python for ETL/Viz and R for Linear Regression to forecast strategic water reserves through 2028.
# 🇲🇦 Morocco Regional Water Stress Analysis & Prediction (2021-2028)
## 📌 Executive Summary
This research project presents a longitudinal analysis of water stress evolution in Morocco (**2021-2025**), with statistical forecasting extending to **2028**. Developed as a technical portfolio for the **CERN Summer Student Programme 2026**, this repository demonstrates a **hybrid workflow** combining Python's data engineering capabilities with R's statistical precision.
The study aggregates multi-source hydrological data to quantify the impact of the recent drought cycle and models the recovery trajectory following the **January 2026 hydro-climatic inflection point**.
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## 📂 Repository Structure
The project follows a modular structure to ensure reproducibility and separation of concerns:
```text
Morocco-Water-Stress-Analysis/
├── data/
│ ├── raw/ # Historical datasets (2014-2025)
│ ├── processed/ # Cleaned regional metrics (Granular CSVs)
│ └── predictions/ # R-generated Forecasts (2026-2028) & Performance Metrics
├── notebooks/
│ └── Water_Stress_Analysis.ipynb # Python Pipeline (ETL, EDA, Visualization, Reporting)
├── reports/figures/ # Visualization Gallery (PNG) │ regional_dashboard.png │ risk_ranking_2026.png │ national_trajectory.png
├── scripts/
│ └── regression_models.R # R Script for Pure Regression Modeling
├── requirements.txt # Python dependencies
├── install.R # R package installation script
└── README.md # Documentation
```
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## 💻 Tech Stack: A Hybrid Approach
To achieve optimal model accuracy, this project leverages the strengths of both ecosystems:
| Component | Technology | Role in Project |
| :--- | :--- | :--- |
| **Data Engineering** | **Python** (Pandas) | Cleaning 10+ years of daily telemetry data and feature engineering. |
| **Statistical Modeling** | **R Language** | Execution of pure linear regression algorithms for precise tr …