DESCRIPTION

Package: bleiglas
Title: Spatiotemporal Data Interpolation and Visualisation based on 3D Tessellation
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.
Version: 1.0.1
Authors@R:
    c(
      person(given = "Clemens",
        family = "Schmid",
        role = c("aut", "cre", "cph"),
        email = "clemens@nevrome.de",
        comment = c(ORCID = "0000-0003-3448-5715")),
      person(given = "Stephan",
        family = "Schiffels",
        role = "ctb",
        comment = c(ORCID = "0000-0002-1017-9150"))
    )
License: MIT + file LICENSE
Depends:
    R (>= 3.5.0)
Imports: 
    checkmate,
    data.table,
    Rcpp
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
SystemRequirements:
    voro++
LinkingTo: Rcpp
Suggests: 
    knitr,
    pbapply,
    rmarkdown,
    sf,
    testthat
VignetteBuilder: knitr
URL: https://github.com/nevrome/bleiglas
BugReports: https://github.com/nevrome/bleiglas/issues