Oniheii/Model-Calibratio-Niayes2040

Model calibration and data visualisation to explore plausible futures for the Niayes area in Senegal # Niayes 2040: Model Calibration and Scenario Exploration This repository contains the scripts and data for calibrating models and visualizing data to explore the future scenarios of the **Niayes region in Senegal**. The project focuses on simulating land use and hydrological dynamics to assess plausible futures under different environmental, demographic, and economic pressures. ### Project Overview The **Niayes 2040** project aims to model and simulate the land and water dynamics in the Niayes region to help decision-makers plan for sustainable development. This repository includes: - **Model Calibration**: Hydrological models and land-use models are calibrated to simulate the effects of urbanization, agricultural development, and other environmental changes. - **Scenario Exploration**: Multiple scenarios, including urbanization, groundwater salinization, and demographic growth, are simulated to assess their impact on the region's future. - **Sensitivity Analysis**: The model parameters are optimized through sensitivity testing to improve accuracy and robustness. ### Key Features 1. **Hydrological Model Calibration**: Calibrating hydrological models to simulate the impacts of climate change and groundwater depletion. 2. **Land Use Model Calibration**: Simulation of land-use changes, focusing on the balance between agricultural and urban expansion. 3. **Statistical Analysis**: Descriptive statistics and demographic projections provide critical inputs to the simulation models. 4. **Farm Typology Segmentation**: Using machine learning techniques (K-means, Random Forest) to classify different types of agricultural practices. 5. **Data Visualization**: Automated generation of graphics to visualize model outputs and scenario results. ### Tools and Libraries - **R**: For model calibration, statistical analysis, and data visualization. - **Python**: For some statistical modeling and machine learning tasks. - **Gephi**: (optional) For network analysis and visualizing …