# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "PiC" in publications use:' type: software license: GPL-3.0-or-later title: 'PiC: Pointcloud Interactive Computation for Forest Structure Analysis' version: 1.0.3 doi: 10.32614/CRAN.package.PiC abstract: 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) . For single tree segmentation details, see Ferrara et al. (2018) . authors: - family-names: Ferrara given-names: Roberto email: roberto.ferrara@cnr.it orcid: https://orcid.org/0009-0000-3627-6867 - family-names: Arrizza given-names: Stefano repository: https://rupppy.r-universe.dev repository-code: https://github.com/rupppy/PiC commit: b9bfc7d229f8f0a00267c63f207d113bc138e099 url: https://github.com/rupppy/PiC contact: - family-names: Ferrara given-names: Roberto email: roberto.ferrara@cnr.it orcid: https://orcid.org/0009-0000-3627-6867