full_diagnostic_plot: Generate a diagnostic plot to assess basic metrics and QSM...

In tReeTraits: Calculate Tree Traits from Terrestrial Lidar

Generate a diagnostic plot to assess basic metrics and QSM output

Description

Generate a diagnostic plot to assess basic metrics and QSM output

Usage

full_diagnostic_plot(las, qsm, height, cbh, crown_width, dbh, res = 0.1)

Arguments

las	'LAS' object from 'lidR' package representing the CROWN of a tree. Crowns can be segmented using [segment_crown()]
qsm	a QSM loaded using '[load_qsm()]'.
height	numeric - tree height, or generated from 'get_height()'
cbh	numeric - crown base heigth, or generated from 'get_crown_base()'.
crown_width	numeric - crown width height, or generated from 'get_width()'
dbh	numeric - in cm, tree diameter at breast height, or generated from 'get_dbh()'
res	numeric - resolution of voxelization to speed up plotting

Value

A multi-panel 'ggplot' object (class 'ggarrange') summarizing tree structural metrics and QSM diagnostics, suitable for printing or saving with 'ggplot2'.

Examples

library(lidR)
las_file = system.file("extdata", "tree_0744.laz", package="tReeTraits")
las = lidR::readLAS(las_file, filter = '-thin_with_voxel 0.1')
las = clean_las(las, bole_height=3)
height = get_height(las)
crown_width = get_width(las)
dbh = get_dbh(las, select_n=30)
cbh = get_crown_base(las, threshold=0.25, sustain=2)
las = segment_crown(las, cbh)
qsm_file = system.file("extdata", "tree_0744_qsm.txt", package='tReeTraits')
qsm = load_qsm(qsm_file)
full_diagnostic_plot(las=las, qsm=qsm, height=height, cbh=cbh, crown_width=crown_width, dbh=dbh)

tReeTraits documentation built on Feb. 26, 2026, 1:07 a.m.