drape.plot: Perspective plot draped with colors in the facets.

Description

Function to produce the usual wireframe perspective plot with the facets being filled with different colors. By default the colors are assigned from a color bar based on the z values. drape.color can be used to create a color matrix different from the z matrix used for the wireframe.

Usage

drape.plot(x, y, z, z2=NULL, col = tim.colors(64), zlim = range(z, na.rm=TRUE), 
 zlim2 = NULL, add.legend = TRUE, horizontal = TRUE, theta = 30, phi = 20, ...)
drape.color(z, col = tim.colors(64), zlim = NULL,
   transparent.color = "white", midpoint)

Arguments

Value

drape.plot If an assignment is made the projection matrix from persp is returned. This information can be used to add additional 3-d features to the plot. See the persp help file for an example how to add additional points and lines using the trans3d function and also the example below.

drape.color If dim( z) = M,N this function returns an (M-1)X(N-1) matrix where each element is a text string specifying the color.

Details

The legend strip may obscure part of the plot. If so, add this as another step using image.plot.

When using drape.color just drop the results into the col argument of persp. Given this function there are no surprises how the higher level drape.plot works: it calls drape.color followed by persp and finally the legend strip is added with image.plot.

The color scales essentially default to the ranges of the z values. However, by specifying zlim and/or zlim2 one has more control of how the perspective plot is scaled and the limits of the color scale used to fill the facets. The color assignments are done by dividing up the zlim2 interval into equally spaced bins and adding a very small inflation to these limits. The mean z2 values, comprising an (M-1)X(N-1) matrix, for each facet are discretized to the bins. The bin numbers then become the indices used for the color scale. If zlim2 is not specified it is the range of the z2 matrix is used to generate the ranges of the color bar. Note that this may be different than the range of the mean facets. If z2 is not passed then z is used in its place and in this case the zlim2 or zlim argument can used to define the color scale.

This kind of plot is also supported through the wireframe function in the lattice package. The advantage of the fields version is that it uses the standard R graphics functions -- and is written in R code.

The drape plot is also drawn by the fields surface function with type="P".

Examples

Run this code

# an obvious choice:
# Dr. R's favorite New  Zealand Volcano!
data( volcano)
M<- nrow( volcano)
N<- ncol( volcano)
x<- seq( 0,1,,M)
y<- seq( 0,1,,N)

drape.plot( x,y,volcano, col=terrain.colors(128))-> pm 

# use different range for color scale and persp plot
# setting of border omits the mesh lines

 drape.plot( x,y,volcano, col=terrain.colors(128),zlim=c(0,300),
                     zlim2=c( 120,165), border=NA)

# note tranparent color for facets outside the zlim2 range


#The projection has been saved in pm
# add a point marking the summit
max( volcano)-> zsummit
ix<- row( volcano)[volcano==zsummit]
iy<- col( volcano)[volcano==zsummit]
trans3d( x[ix], y[iy],zsummit,pm)-> uv
points( uv, col="magenta", pch="+", cex=2)

# overlay volcano wireframe with gradient in x direction. 

dz<- ( 
     volcano[1:(M-1), 1:(N-1)] - volcano[2:(M), 1:(N-1)] +
     volcano[1:(M-1), 2:(N)] - volcano[2:(M), 2:(N)]  
         )/2

# convert dz to a color scale:
  zlim<- range( c( dz), na.rm=TRUE)
  drape.color( dz, zlim =zlim)-> zcol

# wireframe with these colors 
  persp( volcano, col=zcol, theta=30, phi=20)

# add legend using image.plot function 
  image.plot( zlim=zlim, legend.only =TRUE, horizontal =TRUE)