Logo Lanfrica

nismod/southern-africa-freight-exposure

Domain:

geospatial

Record type:

software
Creator:
nis
Host:
Southern Africa Freight Model / Climate Hazard Exposure # 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 ```bash # install snail with specific version (or v0.3 when released) pip install github.com ``` ## License 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.

Licenses