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R package for Airborne LiDAR Data Manipulation and Visualization for Forestry Applications

The lidR package provides functions to read and write .las and .laz files, plot a point cloud, compute metrics using an area-based approach, compute digital canopy models, thin lidar data, manage a catalog of datasets, automatically extract ground inventories, process a set of tiles in multicore, individual tree segmentation, classify data from geographic data, and provides other tools to manipulate LiDAR data.

lidR provides an open-source and R-based implementation of several classical functions used in software dedicated to LiDAR data manipulation. lidR is flexible because it allows the user to program their own tools and manipulate their own objects in R rather than rely on a set of predefined tools.

Please contact the author for bug reports or feature requests (on github, preferably). I enjoy implementing new features!

  1. Features
  2. Install lidR
  3. Some examples
  4. Changelog

Features (not exhaustive)

Install lidR

  • The latest released version from CRAN with
install.packages("lidR")
  • The latest development version from github with
devtools::install_github("Jean-Romain/rlas", dependencies=TRUE)
devtools::install_github("Jean-Romain/lidR", dependencies=TRUE)

To install the package from github make sure you have a working development environment.

  • Windows: Install Rtools.exe.
  • Mac: Install Xcode from the Mac App Store.
  • Linux: Install the R development package, usually called r-devel or r-base-dev

Some examples

Changelog

See changelogs on NEW.md

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Install

install.packages('lidR')

Monthly Downloads

4,153

Version

1.2.1

License

GPL-3

Issues

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Last Published

May 23rd, 2017

Functions in lidR (1.2.1)