Plot 2d colored image on a 3d space

I have a set of .xyz data files where x and y are cooredinates and z is the value given to each coordinate (resistivity). Using the surf function as the code below dipicts I am able to see a 3d colored image of the resistivity at each location. Using view (30,90) I can see it's projection onto 2d space. However, what I want is slightly different than what view outputs. We know in reality to each (X,Y) coordinate a certain height can be associated. So I want the 2d colored output of view to be plotted on a 3d space where the z axis indicates the variable height, and not the colorbar. How to do this?

%b is a M by 3 matrix
x=b(:,1);
y=b(:,2);
z=b(:,3);

N = 250;
xvec = linspace(min(x), max(x), N);
yvec = linspace(min(y), max(y), N);
[X, Y] = ndgrid(xvec, yvec);
F = scatteredInterpolant(x, y, z);
Z = F(X, Y);
surf(X, Y, Z, 'edgecolor', 'none');
colormap default
colorbar
%view(0,90)

[Walter Roberson]

When you use that code, the Z axis is going to indicate the height.

The output is also going to be colored, with the range of Z values divided by the number of entries in the colormap and the color index being proportionate to the fraction of the Z range.

If you do not want the output to be colored that way, then use a different colormap, such as

colormap gray

[James Mathio]

To every coordinate (X,Y,Z) a certain value is associated. I mean I have a 3d coordinate space and to each coordinate I have given a certain value R (resistivity). I can view this as a 2d space containing (X,Y) points with a certain Z and R. So basically my question is if I want to use surf function it gives me a 3d colored image, where X and Y axes are coordinates and Z axis indicates the values R. So with that image I cannot show the third coordinate point of the (X,Y,Z) data points, and only X and Y are shown. So the Z coordinate is not shown in the output. Do you get the question?

Answer 1

[Walter Roberson]

I suggest you use warp() https://www.mathworks.com/help/images/ref/warp.html