rTLS: Tools to Process Point Clouds Derived from Terrestrial Laser Scanning

A set of tools to process and calculate metrics on point clouds derived from terrestrial LiDAR (Light Detection and Ranging; TLS). Its creation is based on key aspects of the TLS application in forestry and ecology. Currently, the main routines are based on filtering, neighboring features of points, voxelization, canopy structure, and the creation of artificial stands. It is written using data.table and C++ language and in most of the functions it is possible to use parallel processing to speed-up the routines.

Version: 0.2.5.2
Depends: data.table (≥ 1.0), R (≥ 4.0.0)
Imports: alphashape3d, boot, doSNOW (≥ 1.0.16), foreach (≥ 1.4.4), parallel (≥ 3.6.0), Rcpp (≥ 1.0.3), RcppProgress (≥ 0.4.2), RcppHNSW (≥ 0.3.0), rgeos, rgl, sp
LinkingTo: Rcpp, RcppArmadillo (≥ 0.9.870), RcppProgress (≥ 0.4.2)
Suggests: knitr, rmarkdown, covr, testthat (≥ 3.0.1)
Published: 2021-12-10
Author: J. Antonio Guzmán Q. ORCID iD [cre, aut, ths, cph], Ronny Hernandez ORCID iD [aut], Arturo Sanchez-Azofeifa ORCID iD [dgs, sad]
Maintainer: J. Antonio Guzmán Q. <antguz06 at gmail.com>
BugReports: https://github.com/Antguz/rTLS/issues
License: GPL (≥ 3)
URL: https://github.com/Antguz/rTLS
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: rTLS citation info
Materials: README NEWS
CRAN checks: rTLS results

Documentation:

Reference manual: rTLS.pdf
Vignettes: Creation of artificial stands
Estimation of tree metrics
Voxel counting and fractal geometry

Downloads:

Package source: rTLS_0.2.5.2.tar.gz
Windows binaries: r-devel: rTLS_0.2.5.2.zip, r-devel-UCRT: rTLS_0.2.5.2.zip, r-release: rTLS_0.2.5.2.zip, r-oldrel: rTLS_0.2.5.2.zip
macOS binaries: r-release (arm64): rTLS_0.2.5.2.tgz, r-release (x86_64): rTLS_0.2.5.2.tgz, r-oldrel: rTLS_0.2.5.2.tgz
Old sources: rTLS archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rTLS to link to this page.