PiC
Pointcloud Interactive Computation
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.7 |
rolling linux/jammy R-4.5 | PiC_1.2.7.tar.gz |
409.3 KiB |
1.2.7 |
rolling linux/noble R-4.5 | PiC_1.2.7.tar.gz |
409.2 KiB |
1.2.7 |
rolling source/ R- | PiC_1.2.7.tar.gz |
320.3 KiB |
1.2.7 |
latest linux/jammy R-4.5 | PiC_1.2.7.tar.gz |
409.3 KiB |
1.2.7 |
latest linux/noble R-4.5 | PiC_1.2.7.tar.gz |
409.2 KiB |
1.2.7 |
latest source/ R- | PiC_1.2.7.tar.gz |
320.3 KiB |
1.2.7 |
2026-04-26 source/ R- | PiC_1.2.7.tar.gz |
320.3 KiB |
1.2.7 |
2026-04-23 source/ R- | PiC_1.2.7.tar.gz |
320.3 KiB |
1.2.7 |
2026-04-09 windows/windows R-4.5 | PiC_1.2.7.zip |
411.5 KiB |
1.0.3 |
2025-04-20 source/ R- | PiC_1.0.3.tar.gz |
11.1 KiB |