Type: Package
Package: PiC
Title: Pointcloud Interactive Computation for Forest Structure Analysis
Version: 1.0.3
Authors@R: c(
    person("Roberto", "Ferrara", , "roberto.ferrara@cnr.it", role = c("aut", "cre"), comment = c(ORCID = "0009-0000-3627-6867")),
    person("Stefano", "Arrizza", role = "aut")
  )
Description: Provides advanced algorithms for analyzing pointcloud data in
    forestry applications. Key features include fast voxelization of
    large datasets; segmentation of point clouds into forest floor,
    understorey, canopy, and wood components. The package enables
    efficient processing of large-scale forest pointcloud data, offering
    insights into forest structure, connectivity, and fire risk
    assessment. Algorithms to analyze pointcloud data (.xyz input file).
    For more details, see Ferrara & Arrizza (2025) <https://hdl.handle.net/20.500.14243/533471>.
    For single tree segmentation details, see Ferrara et al. (2018) 
    <doi:10.1016/j.agrformet.2018.04.008>.
License: GPL (>= 3)
Depends: R (>= 4.3)
Imports: collapse, data.table, dbscan, dplyr, foreach, magrittr, stats,
        tictoc
Suggests: ggplot2, testthat (>= 3.0.0), withr
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.3.2
URL: https://github.com/rupppy/PiC
BugReports: https://github.com/rupppy/PiC/issues
NeedsCompilation: no
Packaged: 2025-02-17 09:39:57 UTC; robertoferrara
Author: Roberto Ferrara [aut, cre] (<https://orcid.org/0009-0000-3627-6867>),
  Stefano Arrizza [aut]
Maintainer: Roberto Ferrara <roberto.ferrara@cnr.it>
Repository: CRAN
Date/Publication: 2025-02-18 10:00:02 UTC
Built: R 4.3.3; ; 2025-02-18 11:45:52 UTC; unix
