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lidR: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications

Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.

Version: 4.1.1
Depends: R (≥ 3.5.0), methods
Imports: classInt, data.table (≥ 1.12.0), glue, grDevices, lazyeval, Rcpp (≥ 1.0.3), rgl, rlas (≥ 1.5.0), sf, stats, stars, terra (≥ 1.5-17), tools, utils
LinkingTo: BH (≥ 1.72.0), Rcpp, RcppArmadillo
Suggests: EBImage, future, geometry, gstat, raster, RCSF, RMCC, rjson, mapview, mapedit, progress, sp, testthat (≥ 2.1.0), knitr, rmarkdown
Published: 2024-03-05
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015() for segment_snags()), Bourdon Jean-François [ctb] (Contributed to Roussel2020() for track_sensor()), Gatziolis Demetrios [ctb] (Implemented Gatziolis2019() for track_sensor()), Leon Steinmeier [ctb] (Contributed to parallelization management), Stanislaw Adaszewski [cph] (Author of the C++ concaveman code), Benoît St-Onge [cph] (Author of the 'chm_prep' function)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1 at ulaval.ca>
BugReports: https://github.com/r-lidar/lidR/issues
License: GPL-3
URL: https://github.com/r-lidar/lidR
NeedsCompilation: yes
Citation: lidR citation info
Materials: README NEWS
In views: Spatial
CRAN checks: lidR results

Documentation:

Reference manual: lidR.pdf
Vignettes: 1. LAS formal class
2. LAScatalog formal class
3. LAScatalog processing engine
5. Create a function to process a LAScatalog
4. Speed-up the computations on a LAScatalog

Downloads:

Package source: lidR_4.1.1.tar.gz
Windows binaries: r-devel: lidR_4.1.1.zip, r-release: lidR_4.1.1.zip, r-oldrel: lidR_4.1.1.zip
macOS binaries: r-release (arm64): lidR_4.1.1.tgz, r-oldrel (arm64): lidR_4.1.1.tgz, r-release (x86_64): lidR_4.1.1.tgz, r-oldrel (x86_64): lidR_4.1.1.tgz
Old sources: lidR archive

Reverse dependencies:

Reverse imports: dsmSearch, FORTLS, leafR, lidaRtRee, rcaiman, rcontroll, rTLsDeep
Reverse suggests: rayshader

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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