- interpolate the values onto a grid, or
- fit a curve get gridded values and plot them.
How to fit a surface to 3D dta points
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Please find the attached. I want to fit a surface to show the trends of the 3d data points but I got an error that 'Z must be a matrix, not a scalar or vector'.
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Stephen23
il 14 Set 2018
Modificato: Stephen23
il 14 Set 2018
Your data are scattered, not gridded:
surf only plots gridded data. To use surf you will either have to
Another option would be to use a Delaunay triangulation to plot the scattered data directly:
trisurf(delaunay(IM,Z50),IM,Z50,MnXdisp)
Gives:
This blog gives an nice explanation of options for scattered data:
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Stephen23
il 14 Set 2018
@Mos_bad: well, the data you gave us might have been gridded at some point in history, but is now missing many data points. If you have data then of course you can fit curves to it (if that has any meaning depends on the data and what it represents).
KSSV
il 14 Set 2018
Modificato: KSSV
il 14 Set 2018
% Unstructred data plot
dt = delaunayTriangulation(IM,Z50) ;
t = dt.ConnectivityList ;
p = dt.Points ;
figure (1);
plot3(IM,Z50,MnXdisp,'b*');
hold on;
trisurf(t,p(:,1),p(:,2),MnXdisp')
title('unstructured')
% structured plot
x = IM ; y = Z50 ; z = MnXdisp ;
N = 50 ;
xi = linspace(min(x),max(x),N) ;
yi = linspace(min(y),max(y),N) ;
[X,Y] = meshgrid(xi,yi) ;
Z = griddata(x,y,z,X,Y) ;
figure (2);
plot3(IM,Z50,MnXdisp,'b*');
hold on;
surf(X,Y,Z)
title('structured')
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