The Green Economy Diagnostic (GED) is a World Bank Group tool that maps the economic and environmental performance of sub-national regions within a country. It is designed to provide a standardized, transparent, and comprehensive picture of regional performance in terms of both economic and environmental factors. It is aimed to help raise public awareness of nations' current development and the challenges they are facing. It is also meant to be a tool to aid governments in driving evidence-based policy making, managing public assets, and targeting infrastructure investments. It is part of the World Bank's Public Investment Management - Public Assets Management platform Platform.
This repository provides the code to:
- Extract raw geospatial data which constitute the GED's scores from various public and private sources
- Process the extracted raw data to create the scores according to this methodology
The following table lists all sources of the raw data that is used as part of the GED. Please contact the author to gain access to the private sources
| Domain | Score | Availability | Granularity | Source | Public/Private |
|---|---|---|---|---|---|
| Nighttime Luminosity | Economic | 2014-Present | 500m | NASA Black Marble | Public |
| Population | Economic | 2000-2020 | 1000m | WorldPop | Public |
| Land Cover | Economic, Environmental | 2016-Present | 10m | Google Dynamic World V1 | Public |
| Air Pollution | Environmental | 2018-Present | 44528m | Copernicus Sentinel-5P | Public |
| Air Pollution PM2.5 | Environmental | 2016-Present | 1113.2m | Copernicus Atmosphere Monitoring Service | Public |
| Air Temperature | Environmental | 2000-Present | 27830m | Telespazio | Private |
| Precipitation | Environmental | 2000-Present | 27830m | Telespazio | Private |
- Python 3.8 or above
The recommended option is to use a miniconda environment to work in for this project, relying on conda to handle some of the trickier library dependencies.
Create a conda environment for the project and install packages
conda create --name <env> --file requirements.txtTo generate scores, please use and following the instructions detailed in the Jupyter Notebook named GED.ipynb
This project is licensed under the [NAME HERE] License - see the LICENSE.md file for details
