Pointcloud Interactive Computation R package PiC version 1.2.7 Provides advanced algorithms for analyzing pointcloud data from terrestrial laser scanner 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>. Software Depends: R (>= 4.3) Imports: collapse, conicfit, data.table, dbscan, dplyr, foreach, magrittr, sf, stats, tictoc, utils Suggests: DT, fs, ggplot2, later, plotly, shiny, shinycssloaders, shinydashboard, shinydashboardPlus, shinyFeedback, shinyFiles, shinyjs, shinythemes, shinyWidgets, testthat (>= 3.0.0), tools, withr Roberto Ferrara <roberto.ferrara@cnr.it> Comprehensive R Archive Network (CRAN) Roberto Ferrara [aut, cre] (ORCID: <https://orcid.org/0009-0000-3627-6867>), Stefano Arrizza [ctb] (ORCID: <https://orcid.org/0009-0009-2290-3650>) GPL (>= 3) 2025-11-07 application/tgz https://CRAN.R-project.org/package=PiC doi:10.32614/CRAN.package.PiC