R Observatory: Metrics for lidaRtRee version 4.0.9

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

lidaRtRee

4.0.9Package record

Forest Analysis with Airborne Laser Scanning (LiDAR) Data

0packages depend

2.9Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Jean-Matthieu MonnetCRAN page ↗Repository ↗Website ↗Issues ↗

Provides functions for forest objects detection, structure metrics computation, model calibration and mapping with airborne laser scanning: co-registration of field plots (Monnet and Mermin (2014) doi:10.3390/f5092307); tree detection (method 1 in Eysn et al. (2015) doi:10.3390/f6051721) and segmentation; forest parameters estimation with the area-based approach: model calibration with ground reference, and maps export (Aussenac et al. (2023) doi:10.12688/openreseurope.15373.2); extraction of both physical (gaps, edges, trees) and statistical features useful for e.g. habitat suitability modeling (Glad et al. (2020) doi:10.1002/rse2.117) and forest maturity mapping (Fuhr et al. (2022) doi:10.1002/rse2.274).

Changes in 4.0.9

repository moved to https://forge.inrae.fr/lidar/lidaRtRee/, tutorials moved to https://lidar.pages-forge.inrae.fr/lidaRtRee/

New

gpstime2Date() function to convert the gpstime field into UTC date.

Fix

tree_detection() does not print "hardcopy" anymore when used with argument crown = TRUE.
Fixed error due to different numbers of rows in binding inside aba_build_model(), when NA rows are removed from variable while xy is also provided.
terrain_point_metrics() does not return an error anymore when plane fitting is not possible e.g. due to low number of points.

From NEWS.md in the release

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)

install.packages("lidaRtRee", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-lidartree

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-lidaRtRee

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.7 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 4.0.9

READMEYes · 250 wordsVignettesNoNEWSYes · 100% structured · mentions 4.0.9Citation fileYes · software entry onlyWebsiteYes

Help pages: 57 (2 internal)
Examples that run: 100%55 run in a plain check
Exported functions with examples: 96%
Documented parameters: 95%
Return-value docs: 98%
Help pages citing references: 18%

How these are measured

Downloads

2.9K

CRAN downloads in the past year

Rank #23,673 · ~8/day · ~238/mo

Releases R versions

Daily download trend is not available in this view yet.

53430 days

53490 days

2.9K1 year

Compare downloads with other packages →

Also on148 r2u

How downloads are counted

Repository

forge.inrae.fr/lidar/lidartree ↗

0Stars

0Forks

0Open issues

0Open PRs

0Releases

51Commits

1Commit identities

airborne laser scanninglidarforest ecosystemcoregistrationtree segmentationforest gapsarea-based approach

License file reads as GPL-3.0 · 51 commits · Last activity 2026-09-21

Responsiveness

not measured

How these are measured

PracticesBeta

Repository forge.inrae.fr/lidar/lidartree is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Installing lidaRtRee adds 130 packages (74 with compiled code, 144 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, sf 9.3 MB.

Depends (1)

R >= 4.0.0

Imports (12)

graphicsstatsmethodsgrDevicesterra sf imager leaps gvlma car reldist lidR

LinkingTo (0)

none

Suggests (1)

stars

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Jean-Matthieu Monnet

Author, Maintainer since 3.0.2 (2021)

Pascal Obstétar

Contributor · added in 3.1.0

Releases (10)

Pick two releases to compare their code metrics.

unarchivedReturned to CRAN
2026-09-23
4.0.9Latest
record
2026-09-23 · current release · diff ↗ ·
added 1 export
gpstime2Date
archivedRemoved from CRAN
2026-06-09
requires archived package 'lidR'
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
4.0.8
record
2025-01-23 · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
4.0.5
record
2023-04-07 · diff ↗
4.0.3
record
2022-07-19 · diff ↗
4.0.2
record
2022-07-18 · diff ↗ ·
added 1 export
tree_detection
4.0.1
record
2022-05-23 · diff ↗ ·
removed 1 export
pointList2SPDF

added 3 exports
aa_las_chablais3, convert_raster, pointList2poly
R
R 4.2.0 released · 2022-04-22
3.1.2
record
2021-12-09 · diff ↗
3.1.0
record
2021-07-30 · diff ↗ ·
removed 39 exports
.ABAmodelMetrics, ABAinference, ABAmodel, ABAmodelCombineStrata, ABAmodelMetrics, ABAmodelPlot, ABApredict, AddVegetationIndices, BoxcoxTr, cleanRaster, cloudMetrics, cloudTreeMetrics, createDisk, demFiltering, edgeDetection, gapDetection, heightRegression, histDetection, histStack, iBoxcoxTr, iBoxcoxTrBiasCor, lmaCheck, maximaDetection, maximaSelection, plot2Dmatched, plotTreeInventory, points2terrainStats, rasterChullMask, rasterLocalmax, rasterMetrics and 9 more

added 39 exports
.aba_metrics, aba_build_model, aba_combine_strata, aba_inference, aba_metrics, aba_plot, aba_predict, add_vegetation_indices, boxcox_itr, boxcox_itr_bias_cor, boxcox_tr, clean_raster, clouds_metrics, clouds_tree_metrics, create_disk, dem_filtering, edge_detection, gap_detection, height_regression, hist_detection, hist_stack, lma_check, maxima_detection, maxima_selection, plot_matched, plot_tree_inventory, raster_chull_mask, raster_local_max, raster_metrics, raster_xy_mask and 9 more
R
R 4.1.0 released · 2021-05-18

Show 3 earlier eventsHide 3 earlier events

3.0.3
record
2021-04-11 · diff ↗
3.0.2
record
2021-04-10
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-04-10
Total releases: 10 / 5 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.0.0
Bundled data: 94 KB / 3 files
Download size: 1.2 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("lidaRtRee")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.57745/jv66mz.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for lidaRtRee version 4.0.9 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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