fields (version 11.6)

ribbon.plot: 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

x

x locations of line segments

y

y locations of line segments

z

Values associated with each segment.

zlim

Range for z values to determine color scale.

col

Color table used for strip. Default is our favorite tim.colors being a scale from a dark blue to dark red.

transparent.color

Color used for missing values. Default is that missing values make the ribbon transparent.

…

Optional graphical arguments that are passed to the 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.

See Also

image.plot, arrow.plot, add.image, colorbar.plot

Examples

# NOT RUN {
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)

# }