This function draws perspective plots of a surface over the
x--y plane. persp
is a generic function.
persp(x, …)# S3 method for default
persp(x = seq(0, 1, length.out = nrow(z)),
y = seq(0, 1, length.out = ncol(z)),
z, xlim = range(x), ylim = range(y),
zlim = range(z, na.rm = TRUE),
xlab = NULL, ylab = NULL, zlab = NULL,
main = NULL, sub = NULL,
theta = 0, phi = 15, r = sqrt(3), d = 1,
scale = TRUE, expand = 1,
col = "white", border = NULL, ltheta = -135, lphi = 0,
shade = NA, box = TRUE, axes = TRUE, nticks = 5,
ticktype = "simple", …)
locations of grid lines at which the values in z
are
measured. These must be in ascending order. By default, equally
spaced values from 0 to 1 are used. If x
is a list
,
its components x$x
and x$y
are used for x
and y
, respectively.
a matrix containing the values to be plotted (NA
s are
allowed). Note that x
can be used instead of z
for
convenience.
x-, y- and z-limits. These should be chosen to cover the range of values of the surface: see ‘Details’.
titles for the axes. N.B. These must be character strings; expressions are not accepted. Numbers will be coerced to character strings.
main and sub title, as for title
.
angles defining the viewing direction.
theta
gives the azimuthal direction and phi
the colatitude.
the distance of the eyepoint from the centre of the plotting box.
a value which can be used to vary the strength of
the perspective transformation. Values of d
greater
than 1 will lessen the perspective effect and values less
and 1 will exaggerate it.
before viewing the x, y and z coordinates of the
points defining the surface are transformed to the interval
[0,1]. If scale
is TRUE
the x, y and z coordinates
are transformed separately. If scale
is FALSE
the coordinates are scaled so that aspect ratios are retained.
This is useful for rendering things like DEM information.
a expansion factor applied to the z
coordinates. Often used with 0 < expand < 1
to shrink the
plotting box in the z
direction.
the color(s) of the surface facets. Transparent colours are
ignored. This is recycled to the
the color of the line drawn around the surface facets.
The default, NULL
, corresponds to par("fg")
.
A value of NA
will disable the drawing of borders: this is
sometimes useful when the surface is shaded.
if finite values are specified for ltheta
and lphi
, the surface is shaded as though it was being
illuminated from the direction specified by azimuth ltheta
and colatitude lphi
.
the shade at a surface facet is computed as
((1+d)/2)^shade
, where d
is the dot product of
a unit vector normal to the facet and a unit vector in the
direction of a light source. Values of shade
close
to one yield shading similar to a point light source model
and values close to zero produce no shading. Values in the
range 0.5 to 0.75 provide an approximation to daylight
illumination.
should the bounding box for the surface be displayed.
The default is TRUE
.
should ticks and labels be added to the box. The
default is TRUE
. If box
is FALSE
then no
ticks or labels are drawn.
character: "simple"
draws just an arrow
parallel to the axis to indicate direction of increase;
"detailed"
draws normal ticks as per 2D plots.
the (approximate) number of tick marks to draw on the
axes. Has no effect if ticktype
is "simple"
.
additional graphical parameters (see par
).
persp()
returns the viewing transformation matrix, say
VT
, a lines()
or points()
, using the
function trans3d()
.
The plots are produced by first transforming the (x,y,z)
coordinates to the interval [0,1] using the limits supplied or
computed from the range of the data. The surface is then viewed
by looking at the origin from a direction defined by theta
and phi
. If theta
and phi
are both zero
the viewing direction is directly down the negative y axis.
Changing theta
will vary the azimuth and changing phi
the colatitude.
There is a hook called "persp"
(see setHook
)
called after the plot is completed, which is used in the
testing code to annotate the plot page. The hook function(s) are
called with no argument.
Notice that persp
interprets the z
matrix as a table of
f(x[i], y[j])
values, so that the x axis corresponds to row
number and the y axis to column number, with column 1 at the bottom,
so that with the standard rotation angles, the top left corner of the
matrix is displayed at the left hand side, closest to the user.
The sizes and fonts of the axis labels and the annotations for
ticktype = "detailed"
are controlled by graphics parameters
"cex.lab"
/"font.lab"
and
"cex.axis"
/"font.axis"
respectively.
The bounding box is drawn with edges of faces facing away from the viewer (and hence at the back of the box) with solid lines and other edges dashed and on top of the surface. This (and the plotting of the axes) assumes that the axis limits are chosen so that the surface is within the box, and the function will warn if this is not the case.
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
Rotatable 3D plots can be produced by package rgl: other ways to produce static perspective plots are available in packages lattice and scatterplot3d.
# NOT RUN {
require(grDevices) # for trans3d
## More examples in demo(persp) !!
## -----------
# (1) The Obligatory Mathematical surface.
# Rotated sinc function.
x <- seq(-10, 10, length= 30)
y <- x
f <- function(x, y) { r <- sqrt(x^2+y^2); 10 * sin(r)/r }
z <- outer(x, y, f)
z[is.na(z)] <- 1
op <- par(bg = "white")
persp(x, y, z, theta = 30, phi = 30, expand = 0.5, col = "lightblue")
persp(x, y, z, theta = 30, phi = 30, expand = 0.5, col = "lightblue",
ltheta = 120, shade = 0.75, ticktype = "detailed",
xlab = "X", ylab = "Y", zlab = "Sinc( r )"
) -> res
round(res, 3)
# (2) Add to existing persp plot - using trans3d() :
xE <- c(-10,10); xy <- expand.grid(xE, xE)
points(trans3d(xy[,1], xy[,2], 6, pmat = res), col = 2, pch = 16)
lines (trans3d(x, y = 10, z = 6 + sin(x), pmat = res), col = 3)
phi <- seq(0, 2*pi, len = 201)
r1 <- 7.725 # radius of 2nd maximum
xr <- r1 * cos(phi)
yr <- r1 * sin(phi)
lines(trans3d(xr,yr, f(xr,yr), res), col = "pink", lwd = 2)
## (no hidden lines)
# (3) Visualizing a simple DEM model
z <- 2 * volcano # Exaggerate the relief
x <- 10 * (1:nrow(z)) # 10 meter spacing (S to N)
y <- 10 * (1:ncol(z)) # 10 meter spacing (E to W)
## Don't draw the grid lines : border = NA
par(bg = "slategray")
persp(x, y, z, theta = 135, phi = 30, col = "green3", scale = FALSE,
ltheta = -120, shade = 0.75, border = NA, box = FALSE)
# (4) Surface colours corresponding to z-values
par(bg = "white")
x <- seq(-1.95, 1.95, length = 30)
y <- seq(-1.95, 1.95, length = 35)
z <- outer(x, y, function(a, b) a*b^2)
nrz <- nrow(z)
ncz <- ncol(z)
# Create a function interpolating colors in the range of specified colors
jet.colors <- colorRampPalette( c("blue", "green") )
# Generate the desired number of colors from this palette
nbcol <- 100
color <- jet.colors(nbcol)
# Compute the z-value at the facet centres
zfacet <- z[-1, -1] + z[-1, -ncz] + z[-nrz, -1] + z[-nrz, -ncz]
# Recode facet z-values into color indices
facetcol <- cut(zfacet, nbcol)
persp(x, y, z, col = color[facetcol], phi = 30, theta = -30)
par(op)
# }
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