# Global economic activity and related data sets
This repository holds a series of notebooks that contain processing and visualidation of global economic activity data. Each link leads to the notebook for the corresponding data set / industry. Data set related links and author information is available in the notebook.
And sector coverage
The covered topics and corresponding data sets are :
Reference global boundary data sets that are widely used as the standard country shapes.
### Industry
A combination of data sets has been done in order to get a global economic activity data set expressed as GDP/GRP produced at the finest spatial resolution available. The DOSE data set at ADMIN_1 resolution has been combined with WDI at ADMIN_0 resolution for 3 sectors: manufacturing, services, agriculture. The methodology is in the notebook:
Data from Overture/OpenStreetMap and Foursqaure
- Overture POIs preprocessing
- Overture POIs
- Foursquare
- Comparison of foursqure and OSM
- Comparison of OSM and GHSL
Standardising categories into ISIC codes.
If you want to run the notebooks locally, clone this repository, then create the python virtual environment with micromamba by running micromamba env create -f env.yaml in the terminal from the main directory. After that activate the environment by running micromamba activate global-data. Finally, you will need to link the notebooks with the virtual environment. This step will depend on the setup you use, but for VScode, open the command palette with COMMAND-SHIFT-P, then Python : Select Interpreter, then Enter interpreter path and copy in the path the output of the command which python from the terminal. It should be something like ~/user/home/micromamba/envs/global-data/bin/python.