vcc.cv: Cartesian-Voronoi Vertical Canopy Cover

In adam-erickson/gapfraction: Functions for processing airborne LiDAR scans of forests

Description

This function implements the Cartesian-Voronoi vertical canopy cover algorithm of Alexander (2013)

Usage

vcc.cv(las = NA, reprojection = NA, col = "height", col2 = NA,
  thresh.var = "height", thresh.val = 1.25, silent = TRUE,
  plots = FALSE)

Arguments

las	Path or name of LAS file. Defaults to NA.
reprojection	Proj4 projection string to use for reprojection. Defaults to NA.
col	Specifies the LiDAR metric to use to color points of first plot in display. Options include height, intensity, nreturn, and class. Defaults to height.
col2	Specifies the LiDAR metric to use to color points of second plot in display. Defaults to NA.
thresh.var	Specifies the LiDAR metric to use for thresholding canopy points. Options include height, intensity, nreturn, and class. Defaults to height.
thresh.val	Specifies the value to use for thresholding. Defaults to 1.25.
silent	Boolean switch for the interactive display of plots. Defaults to FALSE.
plots	Boolean switch for the saving of plot files to the las.path folder. Defaults to FALSE.

Value

The results of vcc.cv

Author(s)

Adam Erickson, [e-mail]

References

http://www.sciencedirect.com/science/article/pii/S0034425713000771

Examples

vcc.cv(las='C:/plot.las', reprojection=NA, col='height', col2='intensity', thresh.var='height', thresh.val=1.25, silent=FALSE, plots=FALSE)

adam-erickson/gapfraction documentation built on May 5, 2019, 6:57 p.m.