This short video is the fourth of a series of nine that talks about volume visualization. Patrick gave this talk internally to help technical support engineers understand capabilities of MATLAB for volume visualization.
I like his slow, clear, methodical presentation with great visualizations. It is the first time I have deeply understood some of the volume visualization techniques we have.
I have a question. I would like to do exactly what you did except my data is not on a grid. I have a list of x, y, z coordinates with a scalar field defined at those points; however, the points are not on a uniform grid such as that created by “meshgrid.” I’d also like to look at the planar slices of that field as separate 2D objects either with a colormap or with contour lines.
My first thought was that I could interpolate my output data values so that I have a grid. Looking at the function “interp2,” however, it turns out that I already need to have a grid of points to interpolate.
I have searched online for this answer and have no clue where to turn next. Any advice pointing me in the right direction would be helpful.
Hey Doug:
Thanks for these informative Matlab videos!
I have a question. I would like to do exactly what you did except my data is not on a grid. I have a list of x, y, z coordinates with a scalar field defined at those points; however, the points are not on a uniform grid such as that created by “meshgrid.” I’d also like to look at the planar slices of that field as separate 2D objects either with a colormap or with contour lines.
My first thought was that I could interpolate my output data values so that I have a grid. Looking at the function “interp2,” however, it turns out that I already need to have a grid of points to interpolate.
I have searched online for this answer and have no clue where to turn next. Any advice pointing me in the right direction would be helpful.
Thanks!
Ryan
http://blogs.mathworks.com/videos/2007/11/02/advanced-matlab-surface-plot-of-nonuniform-data/
The above might be similar.