TINerator is a tool for the fast creation of unstructured meshes from GIS rasters and shapefiles
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TINerator is a Python module for the easy creation of unstructured 3D and 2.5D meshes from GIS data sources. Digital Elevation Maps (DEMs) can be quickly turned into unstructured triangulated meshes, and then further refined by the import of flowline shapefiles or automatically through watershed delineation. Advanced layering and attribute functions then allow for a complex subsurface to be defined.
TINerator comes with a host of 2D and 3D visualization functions, allowing the user to view the status of the mesh at every step in the workflow. In addition, there are geometrical tools for removing triangles outside of a polygon, generating quality analytics on the mesh, adding cell- and node-based attributes to a mesh, and much more.
It was created at Los Alamos National Laboratory and funded primarily through the IDEAS-Watersheds and NGEE Arctic programs. It has since been used by researchers and US-DOE national laboratories nation-wide.
TINerator has been designed to work well with Amanzi-ATS.
The code is available on GitHub at https://github.com/daniellivingston/tinerator-core.
Content type
Image
Digest
Size
2 GB
Last updated
almost 5 years ago
docker pull ees16/tinerator