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Plugin-based component modeling tool.

Project description

https://zenodo.org/badge/DOI/10.5281/zenodo.154179.svg https://readthedocs.org/projects/landlab/badge/?version=latest https://travis-ci.org/landlab/landlab.svg?branch=master https://coveralls.io/repos/landlab/landlab/badge.png https://ci.appveyor.com/api/projects/status/6u0bj0pggxrmf7s1?svg=true https://landscape.io/github/landlab/landlab/master/landscape.svg

landlab

The Landlab project creates an environment in which scientists can build a numerical landscape model without having to code all of the individual components. Landscape models compute flows of mass, such as water, sediment, glacial ice, volcanic material, or landslide debris, across a gridded terrain surface. Landscape models have a number of commonalities, such as operating on a grid of points and routing material across the grid. Scientists who want to use a landscape model often build their own unique model from the ground up, re-coding the basic building blocks of their landscape model rather than taking advantage of codes that have already been written.

More information can be found at the website:

http://landlab.github.io

After installation, tests can be run with:

$ python -c ‘import landlab; landlab.test()’

The most current development version is always available from our git repository:

http://github.com/landlab/landlab

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