Contour plots in terms of 3 variables

1 vue (au cours des 30 derniers jours)
Keith
Keith le 10 Fév 2012
Hi all - I hope someone can help me.
I have three data sets:
  • wind speed
  • wind direction
  • error.
What I'd like to do is to create a contour plot that shows values of error in terms of the wind speed and direction - in so far that the diagram will illustrate where the greater values of error are with respect to both wind speeds and direction. Can any one help??
  1 commentaire
bym
bym le 12 Fév 2012
perhaps you will want to investigate meshgrid()

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Réponses (3)

the cyclist
the cyclist le 10 Fév 2012
Use the contour() function. Type "doc contour" into MATLAB for details.
  5 commentaires
Keith
Keith le 14 Fév 2012
Hi cyclist - that appears to work - although to be honest, it doesn't produce the contoured illustration I desire. The code::
load Error_No_Filter.txt
X=Error_No_Filter(:,1)
Y=Error_No_Filter(:,2)
Z=Error_No_Filter(:,3)
F.Method = 'nearest';
F = TriScatteredInterp(X, Y, Z);
x_axis = 0:1:15;
y_axis = 0:10:360;
[qx,qy] = meshgrid(x_axis,y_axis);
qz = F(qx,qy);
mesh(qx,qy,qz); hold on; contour3(X,Y,Z);
xlabel('Wind Speed [m/s]', 'fontweight','b'), ylabel('Wind Direction [deg]','fontweight','b')
zlabel('error', 'fontweight','b')
title('Interpolated error in terms of wind speed & direction', 'fontweight','b');
From the above, do you have any suggestions that can facilitate turning the above into a contour illlustration that also illustrates the values of the associated cotours?
Thanks,
KEith
the cyclist
the cyclist le 14 Fév 2012
I think what you want is the colorbar command. Just run that command after your code.

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Image Analyst
Image Analyst le 12 Fév 2012
Why not use TriScatteredInterp() to turn your set of (x,y,z) triplets into an image, and display it as an image? That would probably be an insightful visualization and allow you to see patterns. Or you can do a surface plot. There's a nice demo for that in the help for TriScatteredInterp().

Sean de Wolski
Sean de Wolski le 14 Fév 2012
It sounds like you might be interested in a streamtube or streamribbon plot.
doc streamribbon
doc streamtube

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