drape.plot {fields}  R Documentation 
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.
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")
x 
grid values for x coordinate (or if x is a list the components x y and z are used.) 
y 

z 
A matrix of z heights 
z2 

col 
A color table for the z values that will be used for draping 
zlim 
the z limits for z these are used to set up
the scale of the persp plot. This defaults to range(z, na.rm=TRUE) as
in persp 
zlim2 
the z limits for z2 these are used to set up
the color scale. This defaults to 
add.legend 
If true a color strip is added as a legend. 
horizontal 
If true color strip is put at bottom of the plot, if FALSE it is placed vertically on the right side. 
theta 
xy rotation angle for perspective. 
phi 
zangle for perspective. 
transparent.color 
Color to use when given an NA in z 
... 
Other arguments that will be passed to the persp function. The most common is zlim the z limits for the 3d plot and also the limits to set up the color scale. The default for zlim is the range of z. 
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 (M1)X(N1) 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"
.
drape.plot
If an assignment is made the projection matrix from persp is returned.
This information can be used to add additional 3d 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 (M1)X(N1)
matrix where each element is a text string specifying the color.
D. Nychka
image.plot, quilt.plot, persp, plot.surface, surface, lattice, trans3d
# an obvious choice: # Mr. 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 drape.plot( x,y,volcano, col=terrain.colors(128),zlim=c(0,500), zlim2=c( 120,180)) # 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:(M1), 1:(N1)]  volcano[2:(M), 1:(N1)] + volcano[1:(M1), 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)