plot.NSconvo: Plot from the nonstationary model.

In markdrisser/convoSPAT: Convolution-Based Nonstationary Spatial Modeling

Description

This function plots either the estimated anisotropy ellipses for each of the mixture component locations or the estimated correlation between a reference point and all other prediction locations.

Usage

## S3 method for class 'NSconvo'
plot(x, plot.ellipses = TRUE, fit.radius = NULL,
  aniso.mat = NULL, true.mc = NULL, ref.loc = NULL,
  all.pred.locs = NULL, grid = TRUE, true.col = 1, aniso.col = 4,
  ns.col = 2, plot.mc.locs = TRUE, ...)

Arguments

x	A "NSconvo" object, from NSconvo_fit().
plot.ellipses	Logical; indicates whether the estimated ellipses should be plotted (TRUE) or estiamted correlations (FALSE).
fit.radius	Scalar; defines the fit radius used for the local likelihood estimation.
aniso.mat	2 x 2 matrix; contains the estimated anisotropy ellipse from the stationary model (for comparison).
true.mc	The true mixture component ellipses, if known.
ref.loc	Vector of length 2; the reference location.
all.pred.locs	A matrix of all prediction locations.
grid	Logical; indicates if the all.pred.locs are on a rectangular grid (TRUE) or not (FALSE).
true.col	Color value for the true mixture component ellipses (if plotted).
aniso.col	Color value for the anisotropy ellipse (if plotted).
ns.col	Color value for the mixture component ellipses.
plot.mc.locs	Logical; indicates whether the mixture component locations should be plotted (TRUE) or not (FALSE).
...	Other options passed to plot.

Value

A plot of either the estimated ellipses or estimated correlation is printed.

Examples

## Not run: 
plot.NSconvo( NSconvo.object )

## End(Not run)

markdrisser/convoSPAT documentation built on May 21, 2019, 11:48 a.m.