Reputation: 41
We have a 195x4 (double) matrix: A=[X Y Z temp]
, when ploted with scatter3(A(:,1), A(:,2), A(:,3),30, A(:,4), 'filled' )
gives something like this:
Now we want to generate a 'cube' colored with the interpolation of the temp=A(:,4)
vector data.
So far we have tried interp3
% Base Grid
[Xm Ym Zm] = meshgrid(A(:,1), A(:,2), A(:,3));
% Grid Refinement
[Xq,Yq,Zq] = meshgrid(xmin:dx:xmax, ymin:dy:ymax, zmin:dz:zmax);
Aq = interp3(Xm,Ym,Zm,A(:,4),Xq,Yq,Zq);
Returns the following error:
Error using griddedInterpolant
The number of input coordinate arrays does not equal the number of dimensions
(NDIMS) of these arrays.
Error in interp3 (line 144)
F = griddedInterpolant(X, Y, Z, V, method,extrap);
Error in PDGEM_MT (line 112)
Aq = interp3(Xm,Ym,Zm,A(:,4),Xq,Yq,Zq);
So I think, may be a bad implementation and/or a wrong interpretation of the problem.
How to generate a 'cube'of that space colored with the volume interpolation of A(:,4)
?
Thanks in advance.
Upvotes: 1
Views: 1326
Reputation: 4539
You have an scattered dataset.
interp3
does only work if your data points are in meshgrid format read this. The short description of this function is Interpolation for 3-D gridded data in meshgrid format
Instead you can use griddata
which works for scattered data read this. The short description is Interpolate 2-D or 3-D scattered data
.
Example:
X = rand(100,1);
Y = rand(100,1);
Z = rand(100,1);
C = rand(100,1);
figure
scatter3(X, Y, Z,30, C, 'filled' )
[Xm, Ym, Zm] = meshgrid(min(X):.01:max(X), min(Y):.01:max(Y), min(Z):.01:max(Z));
Cm = griddata(X,Y,Z,C,Xm,Ym,Zm);
figure
scatter3(Xm(:), Ym(:), Zm(:), 30, Cm(:), 'filled' )
Upvotes: 2