Package: PiC 1.0.3
Roberto Ferrara
PiC: Pointcloud Interactive Computation for Forest Structure Analysis
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>.
Authors:
PiC_1.0.3.tar.gz
PiC_1.0.3.tar.gz(r-4.5-noble)PiC_1.0.3.tar.gz(r-4.4-noble)
PiC_1.0.3.tgz(r-4.4-emscripten)PiC_1.0.3.tgz(r-4.3-emscripten)
PiC.pdf |PiC.html✨
PiC/json (API)
| # Install 'PiC' in R: |
| install.packages('PiC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rupppy/pic/issues
Last updated 2 days agofrom:617a388218. Checks:2 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 18 2025 |
| R-4.5-linux | OK | Feb 18 2025 |
Exports:FlosegForest_segSegOneVoxelsWoodseg
Dependencies:clicodetoolscollapsedata.tabledbscandplyrfansiforeachgenericsglueiteratorslifecyclemagrittrpillarpkgconfigR6Rcpprlangtibbletictoctidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Forest floor segmentation | Floseg |
| Forest component segmentation | Forest_seg |
| Single Tree wood leaf segmentation | SegOne |
| Voxelize point cloud | Voxels |
| Wood voxels segmentation | Woodseg |
