https://github.com/cran/fields
Tip revision: 292e80962d92c497484ad0735f3f13a4b8d3e0ac authored by Doug Nychka on 29 November 2007, 14:39:12 UTC
version 4.1
version 4.1
Tip revision: 292e809
ribbon.plot.Rd
\name{ribbon.plot}
\alias{ribbon.plot}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{ Adds to an existing plot, a ribbon of color, based on values from
a color scale, along a sequence of line segments.}
\description{
Given a series of 2-d points and values at these segments,
the function colors the segments according to a color scale and the
segment values. This is essentially an image plot restricted to line segments.
}
\usage{
ribbon.plot(x,y,z,zlim=NULL, col=tim.colors(256),
transparent.color="white",...)
}
\arguments{
\item{x}{x locations of line segments}
\item{y}{y locations of line segments}
\item{z}{ Values associated with each segment.}
\item{zlim}{Range for z values to determine color scale. }
\item{col}{Color table used for strip. Default is our favorite
tim.colors being a scale from a dark blue to dark red.}
\item{transparent.color}{Color used for missing values. Default is that
missing values make the ribbon transparent.}
\item{\dots}{Optional graphical arguments that are passed to the
\code{segment} plotting function. A favorite is lwd to make a broad
ribbon. }
}
\details{
Besides possible 2-d applications,
this function is useful to annotate a curve on a surface using colors.
The values mapped to acolor scheme could indicate a feature
other than the height of the surface.
For example, this function could indicate the slope of the surface.
}
\author{Doug Nychka}
\seealso{ image.plot, arrow.plot, add.image, colorbar.plot}
\examples{
plot( c(-1.5,1.5),c(-1.5,1.5), type="n")
temp<- list( x= seq( -1,1,,40), y= seq( -1,1,,40))
temp$z <- outer( temp$x, temp$y, "+")
contour( temp, add=TRUE)
t<- seq( 0,.5,,50)
y<- sin( 2*pi*t)
x<- cos( pi*t)
z<- x + y
ribbon.plot( x,y,z, lwd=10)
persp( temp, phi=15, shade=.8, col="grey")-> pm
trans3d( x,y,z,pm)-> uv
ribbon.plot( uv$x, uv$y, z**2,lwd=5)
}
\keyword{ hplot }% at least one, from doc/KEYWORDS