

   persp {base}                                 R Documentation

   PPeerrssppeeccttiivvee PPlloottss

   DDeessccrriippttiioonn::

        This function draws perspective plots of surfaces over
        the x-y plane.

   UUssaaggee::

        persp(x = seq(0, 1, len = nrow(z)), y = seq(0, 1, len = ncol(z)),
                z, xlim = range(x), ylim = range(y), zlim = range(z, na.rm=T),
                theta = 0, phi = 15, d = 1, scale = TRUE, col, border,
                ltheta = -135, lphi = 0, shade = NA, box = TRUE, ...)

   AArrgguummeennttss::

        x,y: 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.

          z: a matrix containing the values to be plotted
             (`NA's are allowed).  Note that `x' can be used
             instead of `z' for convenience.

   xlim, ylim, zlim: x-, y-  and z-limits.  The plot is pro-
             duced so that the rectangular volume defined by
             these limits is visible.

   theta, phi: angles defining the viewing direction.  `theta'
             gives the azimuthal direction and `phi' the colat-
             titude.

          d: 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.

      scale: 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.

        col: the color of the surface facets.

     border: the color of the line drawn around the surface
             facets.  A value of `NA' will disable the drawing
             of borders.  This is sometimes useful when the
             surface is shaded.

   ltheta, lphi: 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'.

      shade: 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 vec-
             tor 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 illumi-
             nation.

        box: should the bounding box for the surface be dis-
             played.  The default is `TRUE'.

        ...: additional graphical parameters (see `par') and
             the arguments to `title' may also be supplied.

   DDeettaaiillss::

        The plots are produced by first transforming the coor-
        dinates to the interval [0,1].  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.

   SSeeee AAllssoo::

        `contour' and `image'.

   EExxaammpplleess::

        # (1) The Obligatory Mathematical surface.
        #     Rotated sinc function.

        x <- seq(-10,10,length=50)
        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
        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)

        # (2) Visualizing a simple DEM model

        data(volcano)
        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)
        persp(x, y, z, theta=120, phi=15, scale=FALSE)

        # (3) Now something more complex
        #     We border the surface, to make it more "slice like"
        #     and color the top and sides of the surface differently.

        zmin <- min(z)-20
        z <- rbind(zmin, cbind(zmin, z, zmin), zmin)
        x <- c(min(x)-1e-10, x, max(x)+1e-10)
        y <- c(min(y)-1e-10, y, max(y)+1e-10)

        fill <- matrix("green3", nr=nrow(z)-1, nc=ncol(z)-1)
        fill[,1] <- "gray"
        fill[,ncol(fill)] <- "gray"
        fill[1,] <- "gray"
        fill[nrow(fill),] <- "gray"

        par(bg="lightblue")
        persp(x, y, z, theta=120, phi=15, col=fill, scale=F)
        title(main="Maunga Whau\nOne of 50 Volcanoes in the Auckland Region.",
        font.main=4)

        par(bg="slategray")
        persp(x, y, z, theta=135, phi=30, col=fill, scale=F, ltheta=-120,
                lphi=15, shade=0.65)
        persp(x, y, z, theta=135, phi=30, col="green3", scale=F,
                ltheta=-120, shade=0.75, border=NA, box=FALSE)

