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>.
Version: 1.0.3 Depends: R (≥ 4.3) Imports: collapse, data.table, dbscan, dplyr, foreach, magrittr, stats, tictoc Suggests: ggplot2, testthat (≥ 3.0.0), withr Published: 2025-02-18 DOI: 10.32614/CRAN.package.PiC Author: Roberto Ferrara [aut, cre], Stefano Arrizza [aut] Maintainer: Roberto Ferrara <roberto.ferrara at cnr.it> BugReports: https://github.com/rupppy/PiC/issues License: GPL (≥ 3) URL: https://github.com/rupppy/PiC NeedsCompilation: no CRAN checks: PiC results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=PiC to link to this page.
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