MATLAB: Surf plot for three independent matrices of 1×360

plotsurf

Hey , I have three matrices of equal dimensions and i want to make a surf plot for it. Can someone help me with it. Basically X,Y are coordinates of the position and Z is the value at that Point. Thanks in advance for everyone who tries to help.

Best Answer

You have one matrix of three (1x360) row vectors. If your data are gridded, simply use the reshape function on each row vector to create appropriate matrices from them.

If your data are not gridded (random), use the griddata function (or similar functions) to create appropriate matrices for the surf plot.

One easy way to see if your data are gridded is to plkot them using the stem3 function. If they are gridded, that will be obvious.

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MATLAB: Resampling non-uniformly sampled 2D Surface

Not a single function, however there are a group of functions that used in concert can do it.

Try this example:

x = sort(rand(1, 10))*10;                           % Latitude Vector
y = sort(rand(1, 12))*10;                           % Longitude Vector
[X,Y] = meshgrid(x, y);                             % Create Matrices

Z = sin(X*pi/2) .* cos(Y*pi/2);                     % Create Matrices
figure
surf(x, y, Z)
xlabel('x')
ylabel('y')
zlabel('Z')
title('Surface With Non-Uniform Grid Spacing')
xv = linspace(min(x), max(x), 40);                  % Create New Uniformly-Spaced Vector From Original ‘x’
yv = linspace(min(y), max(y), 50);                  % Create New Uniformly-Spaced Vector Vector From Original ‘y’
[Xq,Yq] = ndgrid(xv, yv);                           % Create Interpolation Matrices With Uniform Grid Spacing
Zq = griddata(X(:),Y(:),Z(:), Xq, Yq, 'natural');   % Interpolate Matrices To New Regular Grid
figure
surf(Xq, Yq, Zq)
xlabel('Xq')
ylabel('Yq')
zlabel('Zq')
title('Interpolated Surface With Uniform Grid Spacing')

MATLAB: Plotting a 3D surface model with colours from excel

I am not certain what result you want.

One option:

T1 = readtable('dagslysdata.xlsx', 'HeaderLines',3);
Xv = linspace(min(T1.X), max(T1.X), 50);
Yv = linspace(min(T1.Y), max(T1.Y), 50);
[Xm,Ym] = ndgrid(Xv, Yv);
Zm = griddata(T1.X,T1.Y,T1.Z, Xm,Ym, 'natural');
figure
surf(Xm, Ym, Zm)
view(-30,30)

Another option:

Zm = griddata(T1.X,T1.Y,T1.Z, Xm,Ym, 'nearest');
figure
surf(Xm, Ym, Zm)
view(-30,30)

See the documentation on griddata for a full description of what it does, and linspace to understand how to create the ‘Xv’ and ‘Yv’ vectors (that then use ndgrid to create the ‘Xm’ and ‘Ym’ matrices) to get the resolution you want.

Best Answer

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MATLAB: Resampling non-uniformly sampled 2D Surface

MATLAB: Plotting a 3D surface model with colours from excel

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