Package: PiC
Type: Package
Title: Interactive Processing and Segmentation of Forest TLS
        Point-Cloud Data
Version: 3.3.1
Authors@R: c(
    person(
        given  = "Roberto",
        family = "Ferrara",
        email  = "roberto.ferrara@cnr.it",
        role   = c("aut", "cre"),
        comment = c(ORCID = "0009-0000-3627-6867")
    ),
    person(
        given  = "Stefano",
        family = "Arrizza",
        email  = "stefano.arrizza@cnr.it",
        role   = "ctb",
        comment = c(ORCID = "0009-0009-2290-3650")
    ))
Description: Tools for the processing, segmentation, and analysis of
        terrestrial laser scanning (TLS and MLS) forest point-cloud
        data. The package provides fast voxel-based processing,
        classification of point clouds into forest floor, understory,
        canopy, and woody components, and algorithms for single-tree
        analysis and structural characterization. Methods are designed
        to handle large and dense point-cloud datasets efficiently,
        supporting applications in forest structure assessment,
        connectivity analysis, and fire-risk evaluation. Input data are
        provided as '.xyz', '.txt', '.las', or '.laz' point-cloud
        files. For methodological details, see Ferrara and Arrizza
        (2025) <https://hdl.handle.net/20.500.14243/533471> and Ferrara
        et al. (2018) <doi:10.1016/j.agrformet.2018.04.008>.
License: GPL (>= 3)
Depends: R (>= 4.3)
Imports: collapse, conicfit, data.table, dbscan, dplyr, magrittr, RANN,
        stats, tictoc, terra, tools, utils
Suggests: DT, fs, ggplot2, lidR, grid, gridExtra, later, plotly, shiny,
        shinycssloaders, shinydashboard, shinydashboardPlus,
        shinyFeedback, shinyFiles, shinyjs, shinythemes, scales,
        shinyWidgets, testthat (>= 3.0.0), tidyr, viridis, withr
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.3.3
URL: https://github.com/rupppy/PiC, https://rupppy.github.io/PiC/
BugReports: https://github.com/rupppy/PiC/issues
Additional_repositories: https://r-lidar.r-universe.dev
NeedsCompilation: no
Config/pak/sysreqs: libgdal-dev gdal-bin libgeos-dev libproj-dev
        libsqlite3-dev
Repository: https://rupppy.r-universe.dev
Date/Publication: 2026-09-28 12:22:35 UTC
RemoteUrl: https://github.com/rupppy/pic
RemoteRef: HEAD
RemoteSha: efcda362bee95beb16826e57824a3585a368761c
Packaged: 2026-09-28 19:51:13 UTC; root
Author: Roberto Ferrara [aut, cre] (ORCID:
    <https://orcid.org/0009-0000-3627-6867>),
  Stefano Arrizza [ctb] (ORCID: <https://orcid.org/0009-0009-2290-3650>)
Maintainer: Roberto Ferrara <roberto.ferrara@cnr.it>