Southern Africa Freight Model / Climate Hazard Exposure
This repository holds processing scripts for an exposure analysis of links in a network model of major freight routes in Southern Africa.
Major steps in the process here:
- process hazard data
- intersect network links to find hazard (exposure) values for each link
- summarise the outputs by each exposed stretch of network link (filtering out zero-exposure stretches)
- summarise the outputs by admin-1 regions (applying a threshold to calculate the total network length exposed to each hazard under each scenario in each region)
Requirements
- Python >=3.8
- Python packages: geopandas pyarrow python-igraph rasterio shapely jupyter notebook
- GDAL command-line tools (gdal_translate, gdal_merge.py)
- GNU parallel
# install snail with specific version (or v0.3 when released)
pip install https://github.com/nismod/snail.git@148b861ac54595eceb2c83934d57b7d66fc3460bLicense
This codebase is made available under the MIT License, copyright (c) 2023 Tom Russell and contributors. See ./LICENSE for details
Acknowledgments
This project is done as part of the Climate Compatible Growth project, funded by the UK Foreign Commonwealth and Development Office, in collaboration with the World Bank.