Binary mask and joined shapes of the GSHHS land data set for fast checks of whether points are on land or in the ocean
License: GNU Lesser General Public License v3.0
These files are simplified shapes generated from the GSHHS dataset where connected shapes are joined. These are useful for checking points aginst a landmask quickly.
These are provided under the LGPL3 LICENSE in the same way as the original work.
Run regenerate.py or rasterize.py. The resulting mask is compressed using xz. The final files are checked into the source code.
opendrift_landmask_data-0.7-py3.9.egg/opendrift_landmask_data/mask.py:297: DeprecationWarning: np.bool is a deprecated alias for the builtin bool. To silence this warning, use bool by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.bool_ here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
Hi,
I have tried utilizing the OpenDrift example CMEMS data, which utilizes the Landmask functionality. Currently if you run the function, you would have to rename the "mask.py" function to Landmask.py under the subfolder: opendrift_landmask_data in order for the model to be able to run
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