bleiglas-package: bleiglas: Spatiotemporal Data Interpolation and Visualisation...
In nevrome/bleiglas: Spatiotemporal Data Interpolation and Visualisation based on 3D Tessellation
Description
Author(s)
See Also
Description
Employs Voro++ for the calculation of three dimensional Voronoi diagrams from
input point clouds. This is a special form of tessellation where each polygon is defined
as the area closest to one particular seed point. Voronoi diagrams have useful applications
in - among others - astronomy, material science or geography and bleiglas provides functions
to make 3D tessellation more readily available as a mean for data visualisation and interpolation.
It can be used for any 3D point cloud, but the output is optimized for spatiotemporal applications
in archaeology.
Author(s)
Maintainer: Clemens Schmid clemens@nevrome.de (ORCID) [copyright holder]
Other contributors:
Stephan Schiffels (ORCID) [contributor]
See Also
Useful links:
nevrome/bleiglas documentation built on Sept. 19, 2021, 3:12 p.m.
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Description Author(s) See Also
Description
Employs Voro++ for the calculation of three dimensional Voronoi diagrams from input point clouds. This is a special form of tessellation where each polygon is defined as the area closest to one particular seed point. Voronoi diagrams have useful applications in - among others - astronomy, material science or geography and bleiglas provides functions to make 3D tessellation more readily available as a mean for data visualisation and interpolation. It can be used for any 3D point cloud, but the output is optimized for spatiotemporal applications in archaeology.
Author(s)
Maintainer: Clemens Schmid clemens@nevrome.de (ORCID) [copyright holder]
Other contributors:
Stephan Schiffels (ORCID) [contributor]
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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