sonleh96 / wb_pimpam_ged

The Green Economy Diagnostics Tool

Description

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

Data Requirements

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

Getting Started

Dependencies

• Python 3.8 or above

Installing

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.txt

Executing program

To generate scores, please use and following the instructions detailed in the Jupyter Notebook named GED.ipynb

License

This project is licensed under the [NAME HERE] License - see the LICENSE.md file for details

Acknowledgments