A CLEWs-Based Approach to the Climate-Water-Energy-Food Nexus in Zambia
# CLEWs-ZMB-2024
A CLEWs-Based Approach to the Climate-Water-Energy-Food Nexus in Zambia: Enhancing Policy Coherence for Sustainable Development in Zambia
## Introduction
GeoCLEWs_ZM offers a comprehensive set of features to process high-resolution land and water data for Climate, Land, Energy, and Water Systems (CLEWs) modeling. This script (adapted from Yalda Saedi) automates data collection from GAEZ v4 and FAOSTAT, processing agro-climatic potential yield, crop water deficit, precipitation, and land cover. Outputs can be combined with electricity information for detailed CLEWs modeling, providing an efficient solution without complex spatial processing. GeoCLEWs_ZM has been successfully tested on Windows machines. Please follow the instructions below to set up and use GeoCLEWs_ZM effectively.
## Creating and Activating the Environment
Ensure all necessary Python packages and dependencies are installed using the provided 'environment.yml' file:
```bash
conda env create -f environment.yml
conda activate GeoCLEWs
```
## Download Files and Data
1. **CLEWs-ZMB-2024 Folder**: Download the 'CLEWs-ZMB-2024' github project folder, which includes:
* **GeoCLEWs_ZM.ipynb**: Jupyter Notebook code for running GeoCLEWs.
* GAEZ and FAOSTAT resources in CSV format.
* 'Data' folder corresponding to input and output data.
2. **Administrative Boundary Shapefiles**: Download shapefiles for administrative boundaries from GADM or any other sources. Place the file inside the 'Data/input' directory and rename it to "..._ adm0" where "..." represents the 3-letter ISO country code (e.g., "ZMB_adm0.shp" for Zambia).
3. **Clustering Shapefile**: Obtain the required shapefile for clustering from GADM or other sources and store it in the 'Data/input' folder. Rename the files to match the 3-letter ISO country code of your case study, such as "ZMB_data.shp" for Zambia.
Please ensure all necessary files, such as .shx, .shp, etc., are included. For example, for Zambia, include files li …