Package: rTLS 0.2.6.1

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.

Authors:J. Antonio Guzmán Q. [cre, aut, ths, cph], Ronny Hernandez [aut], Arturo Sanchez-Azofeifa [dgs, sad]

rTLS_0.2.6.1.tar.gz
rTLS_0.2.6.1.zip(r-4.7-x86_64)rTLS_0.2.6.1.zip(r-4.7-arm64)rTLS_0.2.6.1.zip(r-4.6-x86_64)rTLS_0.2.6.1.zip(r-4.6-arm64)rTLS_0.2.6.1.zip(r-4.5-x86_64)
rTLS_0.2.6.1.tgz(r-4.6-x86_64)rTLS_0.2.6.1.tgz(r-4.6-arm64)rTLS_0.2.6.1.tgz(r-4.5-x86_64)rTLS_0.2.6.1.tgz(r-4.5-arm64)
rTLS_0.2.6.1.tar.gz(r-4.7-arm64)rTLS_0.2.6.1.tar.gz(r-4.7-x86_64)rTLS_0.2.6.1.tar.gz(r-4.6-arm64)rTLS_0.2.6.1.tar.gz(r-4.6-x86_64)
rTLS_0.2.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rTLS/json (API)

# Install 'rTLS' in R:
install.packages('rTLS', repos = c('https://antguz.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/antguz/rtls/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

lidarpoint-cloudtlsopenblascppopenmp

6.23 score 28 stars 10 scripts 463 downloads 22 exports 56 dependencies

Last updated from:1c8133f796. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK245
linux-devel-x86_64OK320
source / vignettesOK235
linux-release-arm64OK240
linux-release-x86_64OK258
macos-release-arm64OK310
macos-release-x86_64OK363
macos-oldrel-arm64OK206
macos-oldrel-x86_64OK374
windows-devel-arm64OK461
windows-devel-x86_64OK266
windows-release-arm64OK459
windows-release-x86_64OK228
windows-oldrel-x86_64OK220
wasm-releaseOK248

Exports:artificial_standcanopy_structurecartesian_to_polarcircleRANSACeuclidean_distancefiltergeometry_featuresknnline_AABBlines_interceptionmin_distanceplot_voxelspolar_to_cartesianradius_searchrotate2Drotate3Dstand_countingsummary_voxelstree_metricstrunk_volumevoxelsvoxels_counting

Dependencies:abindalphashape3dbase64encbootbslibcachemclassclassIntclicodetoolsdata.tableDBIdigestdoSNOWe1071evaluatefastmapfontawesomeforeachfsgeometryhighrhtmltoolshtmlwidgetsiteratorsjquerylibjsonliteKernSmoothknitrlifecyclelinproglpSolvemagicmagrittrmemoisemimeproxyR6RANNrappdirsRcppRcppArmadilloRcppHNSWRcppProgressrglrlangrmarkdowns2sasssfsnowtinytexunitswkxfunyaml

Creation of artificial stands
Motivation | Steps
Rendered fromArtificial-stands.Rmdusingknitr::rmarkdown

Last update: 2021-11-25
Started: 2020-04-09

Estimation of tree metrics
Steps
Rendered fromtree-metrics.Rmdusingknitr::rmarkdown

Last update: 2021-11-25
Started: 2020-04-09

Voxel counting and fractal geometry
Background | Steps
Rendered fromvoxels-fractals.Rmdusingknitr::rmarkdown

Last update: 2021-11-25
Started: 2020-04-09