R: Plots a surface

plot.surface {fields} | R Documentation

## Plots a surface

### Description

Plots a surface object in several different ways to give 3-d information e.g. a contour plots, perspective plots.

### Usage

    ## S3 method for class 'surface'
    plot(x, main = NULL, type = "C", zlab = NULL, xlab = NULL,
        ylab = NULL, levels = NULL, zlim = NULL, graphics.reset = NULL,
         labcex = 0.6, add.legend=TRUE, ...)

### Arguments

`x` | A surface object. At the minimum a list with components x,y and z in the same form as the input list for the standard contour, persp or image functions. This can also be an object from predictSurface.
`main` | Title for plot.
`type` | type="p" for a perspective/drape plot (see drape.plot), type="I" for an image plot with a legend strip (see image.plot), type="c" draws a contour plot, type="C" is the "I" option but with contours lines added. type="b" gives both "p" and "C" as a 2X1 panel
`zlab` | z-axes label
`xlab` | x-axes label
`ylab` | y-axes labels
`levels` | Vector of levels to be passed to contour function.
`graphics.reset` | Reset to original graphics parameters after function plotting. Default is to reset if type ="b" but not for the single plot options.
`zlim` | Sets z limits on perspective plot.
`labcex` | Label sizes for axis labeling etc.
`add.legend` | If TRUE adds a legend to the draped perspective plot
`...` | Other graphical parameters that are passed along to either drape.persp or image.plot

### See Also

surface, predictSurface, as.surface, drape.plot, image.plot

### Examples

    x<- seq( -2,2,,80)
    y<- seq( -2,2,,80)
    # a lazy way to create some test image
    z<- outer( x,y, "+")

    # create basic image/surface object
    obj<- list(x=x, y=y,z=z)

    # basic contour plot
    # note how graphical parameters appropriate to contour are passed
    plot.surface( obj, type="c", col="red")

    # using a fields function to fit a surface and evaluate as surface object.
    fit<- Tps( BD[,1:4], BD$lnya) # fit surface to data
    # surface of variables 2 and 3 holding 1 and 4 fixed at their median levels
     out.p<-predictSurface(fit, xy=c(2,3))

     plot.surface(out.p) # surface plot

[Package fields version 9.6.1 Index]