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index.Rmd
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---
title: "The `lidR` package"
author: "Jean-Romain Roussel, Tristan R.H. Goodbody, Piotr Tompalski"
date: "`r Sys.Date()`"
site: bookdown::bookdown_site
output:
bookdown::gitbook:
includes:
in_header: gtag.html
after_body: clicky.html
documentclass: book
description: "A guide to the `lidR` package"
---
# Introduction
`lidR` is an R package for manipulating and visualizating airborne laser scanning (ALS) data with an emphasis on forestry applications. The package is entirely open source and is integrated within the geospatial R ecosytem (i.e. `raster/terra/stars` and `sp/sf`). This guide has been written to help both the ALS novice, as well as seasoned point cloud processing veterans. Key functionality of `lidR` includes functions to:
* Read and write `.las` and `.laz` files and render customized point-cloud display (section \@ref(io))
* Process point clouds including point classification (section \@ref(gnd)), digital terrain models (section \@ref(dtm)), normalization (section \@ref(norm)) and digital surface models (section \@ref(chm))
* Perform individual tree segmentation (section \@ref(itd-its))
* Compute standard metrics at different levels of regularization (sections \@ref(metrics), \@ref(cba), \@ref(aba), \@ref(tba), \@ref(vba) and \@ref(pba))
* Manage processing for sets of point-cloud files - referred to as a `LAScatalog` (sections \@ref(engine) and \@ref(engine2))
* Guidelines for implementing area-based approaches to forest modelling using ALS data (section \@ref(modeling-aba))
* Facilitate user-defined processing streams for research and development (section \@ref(outbox))
* Understand spatial indexing (section \@ref(spatial-indexing))
* Discover the plugin system (section \@ref(plugins))
The current release version of `lidR` can be found on [CRAN](https://cran.r-project.org/web/packages/lidR/) and the source code is hosted on [GitHub](https://github.com/r-lidar/lidR).
Development of the `lidR` package between 2015 and 2018 was made possible thanks to the financial support of the AWARE project [NSERC CRDPJ 462973-14](https://aware.forestry.ubc.ca/); grantee [Prof. Nicholas C. Coops](https://profiles.forestry.ubc.ca/person/nicholas-coops/).
Development of the `lidR` package between 2018 and 2021 was made possible thanks to the financial support of the [Ministère des Forêts, de la Faune et des Parcs of Québec](https://mffp.gouv.qc.ca/).
The book is shared under [CC-BY-NC-SA 2.0](https://creativecommons.org/licenses/by-nc-sa/2.0/)
[![](images/by-nc-sa.png)](https://creativecommons.org/licenses/by-nc-sa/2.0/)
--------
_This book was created to provide hands on descriptions and tutorials for using `lidR` and is **not** the formal package documentation. The comprehensive package documentation is shipped with the package._
![](images/logo.png)