By default, the objects that plotdata manipulates are vectors, i.e. inherently one-dimensional things. However, one can create a one-dimensional equivalent of a two-dimensional object by ``unravelling'' the m x n matrix like this:
The last line can then be thought of as a mapping , where
This presupposes that we know on a regular array of data points . Here's one quick way of creating such a mapping:
PLOTDATA: generate j 0,,99 100
PLOTDATA: list x,y,z
PLOTDATA: density/boxes x,y,z
We generated three vectors of length 100, and then interpreted them as a three-dimensional object. The /boxes switch shows off one more way of rendering such a ``surface''.
To do the surface justice, however, it is best to perform the reverse: take a set of vector (1D) data and then create a regularly-spaced grid matrix out of it:
PLOTDATA: grid m x,y,z
PLOTDATA: surface m 0 0 25 -30
Note that we have used our regular arrays x, y, and z to generate a matrix m, but in general grid command will interpolate data as needed, so the input data representing a surface need not be known at a regularly-spaced grid of points . For our arrays we could have used the option grid/nointerpolate since the data is already regularly spaced.