CRAN/E | rTLS

rTLS

Tools to Process Point Clouds Derived from Terrestrial Laser Scanning

Installation

About

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.

Citation rTLS citation info
github.com/Antguz/rTLS
System requirements GNU make
Bug report File report

Key Metrics

Version 0.2.5.2
R ≥ 4.0.0
Published 2021-12-10 875 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks rTLS results

Downloads

Yesterday 0 -100%
Last 7 days 12 0%
Last 30 days 54 -5%
Last 90 days 157 -24%
Last 365 days 668 -78%

Maintainer

Maintainer

J. Antonio Guzmán Q.

antguz06@gmail.com

Authors

J. Antonio Guzmán Q.

cre / aut / ths / cph

Ronny Hernandez

aut

Arturo Sanchez-Azofeifa
dgs
sad

Material

README
NEWS
Reference manual
Package source

Vignettes

Creation of artificial stands
Estimation of tree metrics
Voxel counting and fractal geometry

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rTLS archive

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

Suggests

knitr
rmarkdown
covr
testthat ≥ 3.0.1

LinkingTo

Rcpp
RcppArmadillo ≥ 0.9.870
RcppProgress ≥ 0.4.2