Plot.zeta.scale.regular: Plotting of zeta diversity scaling with sample grain using...

In zetadiv: Functions to Compute Compositional Turnover Using Zeta Diversity

Plotting of zeta diversity scaling with sample grain using hierarchical increases in grain size

Description

Plots the output of the function Zeta.scale.regular.

Usage

Plot.zeta.scale.regular(
  zeta.scale.reg,
  size.init = 1,
  add = FALSE,
  ylim = NULL,
  col = "black"
)

Arguments

zeta.scale.reg	A list generated by the function Zeta.scale.regular.
size.init	initial Size of the plots before aggregation.
add	Boolean value indicating if the graph must be plotted in a new graphics device or added to the active one.
ylim	Numeric vectors of length 2, giving the range of y values.
col	String indicating the color of the graph.

Value

A plot of the zeta diversity scaling with the mapping grain n x n (the number of sites combined to generate data at a coarser grain) on the x-axis and the value of zeta on the y-axis.

References

Hui C. & McGeoch M.A. (2014). Zeta diversity as a concept and metric that unifies incidence-based biodiversity patterns. The American Naturalist, 184, 684-694.

Scheiner S.M., Chiarucci A., Fox G.A., Helmus M.R., McGlinn D.J. & Willig M.R. (2011). The underpinnings of the relationship of species richness with space and time. Ecological Monographs, 81, 195-213.

See Also

Zeta.decline.mc, Zeta.order.mc, Zeta.decline.ex, Zeta.order.ex,

Zeta.scale.regular, Zeta.scale.min.dist, rescale.regular,

Plot.zeta.scale.min.dist

Examples

utils::data(bird.spec.fine)
xy.bird <- bird.spec.fine[1:400,1:2]
data.spec.bird <- bird.spec.fine[1:400,3:192]

##sam = 25 is used here for fast execution, but a higher value is advised
zeta.scale.reg <- Zeta.scale.regular(xy.bird, data.spec.bird, n = 1:3, order = 3,
    sam = 25, normalize = "Jaccard",plot=FALSE)
dev.new()
Plot.zeta.scale.regular(zeta.scale.reg)

zetadiv documentation built on June 11, 2022, 1:12 a.m.