nevrome/bleiglas: Spatiotemporal Data Interpolation and Visualisation based on 3D Tessellation

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.

install.packages("remotes")
remotes::install_github("nevrome/bleiglas")