P.pdn: Point-density-normalized Gap Fraction, Effective LAI, and ACI

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

Description

This function implements Erickson's point-density-normalized gap fraction along with effective LAI and ACI algorithms

Usage

P.pdn(las = NA, pol.deg = 5, azi.deg = 45, reprojection = NA,
  silent = TRUE, plots = FALSE)

Arguments

las	Path or name of LAS file. Defaults to NA.
pol.deg	Resolution of polar window in degrees. Defaults to 5.
azi.deg	Resolution of azimuthal window in degrees. Defaults to 45.
reprojection	Proj4 projection string to use for reprojection. Defaults to NA.
silent	Boolean switch for the interactive display of plots. Defaults to TRUE.
plots	Boolean switch for the saving of plot files to the las.path folder. Defaults to FALSE.

Value

The results of P.pdn in the form c(Ppdn, Le, ACI)

Author(s)

Adam Erickson, [e-mail]

References

Forthcoming

http://www.sciencedirect.com/science/article/pii/S0168192310000328

Examples

P.pdn(las='C:/plot.las', pol.deg=15, azi.deg=45, reprojection=NA, silent=FALSE, plots=FALSE)

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