wavelet.allsp: Wavelet variance curves for all species in one plot.

In forestgeo/ctfs: Tools for the Analysis of Forest Dynamics

Description

Function to calculate the wavelet variance curves for all species in one plot using quadrat indexation from CTFS package.

Usage

wavelet.allsp(censdata, plotdim = c(1000, 500), gridsize = 2.5,
  mindbh = NULL)

Arguments

censdata	A table of plot census data.
plotdim	The x and y dimensions of the plot.
gridsize	Size of the quadrats for the rasterization
mindbh	If analysis is to be done at different size classes.

Value

A matrix with:

• scale: vector with scale of the analysis in meters;

• variance: matrix with the normalized variance at each scale (columns) for each species (rows); density: matrix with the density per area and abundance for each species in the plot;

• gridsize: grid size parameter used;

• UCL: vector with the upper confidence limit for the null hypothesis;

• LCL: vector with the lower confidence limit for the null hypothesis.

Arguments details

• censdata: Must contain the variables gx, gy, dbh, status, and sp code.

Author(s)

Matteo Detto and Tania Brenes

Examples

## Not run: 
wavelet.variances = wavelet.allsp(
  censdata = bciex::bci12t1mini, 
  plotdim = c(1000, 500)
)

## End(Not run)

forestgeo/ctfs documentation built on May 3, 2019, 6:44 p.m.