betadiversity: Estimates Beta Diversity as the instantaneous rate of change...

In jarioksa/gravy: Gradient Analysis of Vegetation

Estimates Beta Diversity as the instantaneous rate of change at any gradient point.

Description

The function betadiversity estimates the beta diversity as the instantenous rate of change at any gradient point.

Usage

betadiversity(object, x, ...)
## S3 method for class 'betadiversity'
plot(x, type="b", xlab, ylab, splines = FALSE,  ...)

Arguments

object	A response frame object: Fitted models for species.
x	Gradient values.
type	Type of graph.
xlab, ylab	Axis labels; defaults provided if these are missing.
splines	Use interpolating spline to draw smooth lines.
...	Other parameters.

Details

The function finds the instantenous rate of change along the gradient from the fitted response functions for species.

Currently the function is implemented for HOF models only.

The function has a plot method.

Value

The function returns an object of class "betadiversity" with the following items:

x	Used gradient values.
beta	Beta diversity at the gradient points.

...

Author(s)

Jari Oksanen

References

Oksanen, J. & Tonteri, T. (1995). Rate of compositional turnover along gradients and total gradient length. Journal of Vegetation Science 6, 815-824.

See Also

HOF.

Examples

data(mtf01)
data(mtf.alt)
attach(mtf.alt)
mod <- HOF(mtf01, Altitude, 1)
x <- seq(min(Altitude), max(Altitude), len=101)
beta <- betadiversity(mod, x)
plot(beta)

jarioksa/gravy documentation built on May 24, 2024, 4:52 a.m.