metrics_basic: Basic metrics

In ptompalski/lidRmetrics: Point cloud metrics for the lidR package.

Basic metrics

Description

Most common descriptive statistics used to characterize the vertical distribution of points in a point cloud.

Usage

metrics_basic(z, zmin = NA)

.metrics_basic

Arguments

z	Z coordinate of the point cloud (point heights)
zmin	numeric. Minimum z value. If set, z values (heights) below are ignored in calculations.

Format

An object of class formula of length 2.

Value

A set of descriptive statistics including: total number of points, maximum height, minimum height, mean height, variance of height, standard deviation of height, coefficient of variation of height, skewness and kurtosis of height.

Examples

library(lidR)
library(lidRmetrics)
LASfile <- system.file("extdata", "Megaplot.laz", package="lidR")
las <- readLAS(LASfile, select = "*", filter = "-keep_random_fraction 0.5")

#================
# CLOUD METRICS
#================

m1 <- cloud_metrics(las, ~metrics_basic(z = Z))

#================
# PIXEL METRICS
#================

m2 <- pixel_metrics(las, ~metrics_basic(z = Z), res = 20)


#================
# PLOT METRICS
#================

shpfile <- system.file("extdata", "efi_plot.shp", package="lidR")
inventory <- sf::st_read(shpfile, quiet = TRUE)

m3 <- plot_metrics(las, ~metrics_basic(z = Z,  zmin = 2), inventory, radius = 11.28)

ptompalski/lidRmetrics documentation built on May 7, 2024, 2:58 p.m.