A model which simulates coastal flooding, and evaluated the economic benefits of climate adaptation strategies.
To get CoastDef on your personal computer, you can clone the repository by running the command
git clone https://github.com/zdb999/coast-def.git
You can then install all of the package’s dependencies, located in requirements.txt.
pip install -r coast-def/requirements.txt
The package is still unreleased, and on some systems you may encounter installation difficulties. We make no claim that your installation will be uneventful. If some dependencies don’t install, you can run supplementary commands.
sudo apt-get install libgdal-dev
apt-get install python-gdal
To learn more about CoastDef’s dependencies, visit our dependencies page.
We have not yet developed a setup to add CoastDef to your Python enviroment varibles. You can either do this manuelly or run your scripts with a in the CoastDef folder. Improving installation will be a major priority once the the core components are all useable.
As shown in this tutorial, it is currently mutch easier to run CoastDef in a virtual, Cloud-based enviroment. We recoment Google Colab. It’s free, easy to use, and facilitates teamwork. Colab is also based on open source Jupyter notebooks.
To set up the latest version of CoastDef in Colab, simply copy the script from the tutorial into a Colab code block and run it.
Making full use of this package will require some Geographic Information Systems (GIS) background. Both ArcGIS and QGIS should work fine; if you don’t have such software, you can download the open-source QGIS here. And here is a good introductory ArcGIS tutorial, and here is a good QGIS one.