aRchi: Quantitative Structural Model ('QSM') Treatment for Tree Architecture

Provides a set of tools to make quantitative structural model of trees (i.e the so-called 'QSM') from LiDAR point cloud, to manipulate and visualize the QSMs as well as to compute metrics from them. It can be used in various context of forest ecology (i.e biomass estimation) and tree architecture (i.e architectural metrics), see Martin-Ducup et al. (2020) <doi:10.1111/1365-2435.13678>. The package is based on a new S4 class called 'aRchi'.

Version: 2.1.0
Imports: data.table, dplyr, plyr, rgl, methods, lidR, FNN, DiceKriging, stringr, utils, stats, progress, gtools, Rfast, VoxR, fastcluster, pracma, pkgcond, svMisc, circular
Published: 2022-04-12
Author: Olivier Martin and Bastien Lecigne
Maintainer: Olivier Martin <oli.martin at ntymail.com>
License: CeCILL
URL: https://github.com/umr-amap/aRchi
NeedsCompilation: no
Materials: README NEWS
CRAN checks: aRchi results

Documentation:

Reference manual: aRchi.pdf

Downloads:

Package source: aRchi_2.1.0.tar.gz
Windows binaries: r-devel: aRchi_2.1.0.zip, r-release: aRchi_2.1.0.zip, r-oldrel: aRchi_2.1.0.zip
macOS binaries: r-release (arm64): aRchi_2.1.0.tgz, r-oldrel (arm64): aRchi_2.1.0.tgz, r-release (x86_64): aRchi_2.1.0.tgz, r-oldrel (x86_64): aRchi_2.1.0.tgz
Old sources: aRchi archive

Linking:

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