Airborne Point Cloud Data Manipulation and Visualization for Forestry Applications R package lidR version 4.3.3 CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial) Airborne point cloud interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations. Software Depends: R (>= 3.5.0), methods Imports: classInt, data.table (>= 1.12.0), glue, grDevices, lazyeval, Rcpp (>= 1.0.3), rgl, rlas (>= 1.8.2), sf, stats, stars, terra (>= 1.5-17), tools, utils, parallelly LinkingTo: BH (>= 1.72.0),Rcpp,RcppArmadillo Suggests: EBImage, future, geometry, gstat, raster, RCSF, RMCC, rjson, mapview, mapedit, progress, sp, testthat (>= 2.1.0), knitr, rmarkdown Jean-Romain Roussel <info@r-lidar.com> Comprehensive R Archive Network (CRAN) Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015() for segment_snags()), Bourdon Jean-François [ctb] (Contributed to Roussel2020() for track_sensor()), Gatziolis Demetrios [ctb] (Implemented Gatziolis2019() for track_sensor()), Leon Steinmeier [ctb] (Contributed to parallelization management), Stanislaw Adaszewski [cph] (Author of the C++ concaveman code), Benoît St-Onge [cph] (Author of the 'chm_prep' function) GPL-3 2026-09-15 application/tgz https://CRAN.R-project.org/package=lidR doi:10.32614/CRAN.package.lidR