CoastProc 0.0.3

Coastal Processes, Environments & Systems.

CoastProc - Coastal Processes, Environments & Systems

Installation

Dependencies

You will need Python 3.5+. Also, the following packages are required:

• numpy
• scipy
• pandas
• scikit-image
• seaborn
• geopy
• cartopy
• netCDF4
• shapely
• pymannkendall

Installing using pip

You can install CoastProc using the pip package manager with your version of Python:

python3 -m pip install CoastProc

Installing using Docker

A more straightforward installation which does not depend on specific compilers relies on the docker virtualisation system.

To install the docker image and test it is working:

   docker pull tsalles/coastproc:latest
   docker run --rm tsalles/coastproc:latest help

To build the dockerfile locally, we provide a script. First ensure you have checked out the source code from github and then run the script in the Docker directory. If you modify the dockerfile and want to push the image to make it publicly available, it will need to be retagged to upload somewhere other than the current repository.

git checkout https://github.com/TristanSalles/CoastProc.git
cd CoastProc
source Docker/build-dockerfile.sh

Usage

Binder & docker container

Launch the demonstration at mybinder.org

Another option will be to use the Docker container available through Kitematic tsalles/coastproc.

License

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with this program. If not, see http://www.gnu.org/licenses/lgpl-3.0.en.html.

1. Young, I. R. and Donelan, M., 2018. On the determination of global ocean wind and wave climate from satellite observations. Remote Sensing of Environment 215, 228–241.