This example plots the velocity vector cones for the
The graph produced employs a number of visualization techniques:
An isosurface is used to provide visual context for the cone plots and to provide means to select a specific data value for a set of cones.
Lighting enables the shape of the isosurface to be clearly visible.
The use of perspective projection, camera positioning, and view angle adjustments composes the final view.
Displaying an isosurface within the rectangular space of the data provides a visual context for the cone plot. Creating the isosurface requires a number of steps:
Calculate the magnitude of the vector field, which represents the speed of the wind.
patch to draw an isosurface illustrating
where in the rectangular space the wind speed is equal to a particular
value. Regions inside the isosurface have higher wind speeds, regions
outside the isosurface have lower wind speeds.
compute vertex normals of the isosurface from the volume data rather
than calculate the normals from the triangles used to render the isosurface.
These normals generally produce more accurate results.
Set visual properties of the isosurface, making it
red and without drawing edges (
load wind wind_speed = sqrt(u.^2 + v.^2 + w.^2); hiso = patch(isosurface(x,y,z,wind_speed,40)); isonormals(x,y,z,wind_speed,hiso) hiso.FaceColor = 'red'; hiso.EdgeColor = 'none';
Isocaps are similar to slice planes in that they show a cross
section of the volume. They are designed to be the end caps of isosurfaces.
Using interpolated face color on an isocap causes a mapping of data
value to color in the current colormap. To create isocaps for the
isosurface, define them at the same isovalue (
hcap = patch(isocaps(x,y,z,wind_speed,40),... 'FaceColor','interp',... 'EdgeColor','none'); colormap hsv
set the data aspect ratio of the axes before calling
function can determine the proper size of the cones.
Determine the points at which to place cones by calculating
another isosurface that has a smaller isovalue (so the cones are displayed
outside the first isosurface) and use
reduce the number of faces and vertices (so there are not too many
cones on the graph).
Draw the cones and set the face color to
the edge color to
daspect([1 1 1]); [f,verts] = reducepatch(isosurface(x,y,z,wind_speed,30),0.07); h1 = coneplot(x,y,z,u,v,w,verts(:,1),verts(:,2),verts(:,3),3); h1.FaceColor = 'blue'; h1.EdgeColor = 'none';
Draw a second set of cones and set the face color to green and the edge color to none.
xrange = linspace(min(x(:)),max(x(:)),10); yrange = linspace(min(y(:)),max(y(:)),10); zrange = 3:4:15; [cx,cy,cz] = meshgrid(xrange,yrange,zrange); h2 = coneplot(x,y,z,u,v,w,cx,cy,cz,2); h2.FaceColor = 'green'; h2.EdgeColor = 'none';
axis tight set(gca,'BoxStyle','full','Box','on') camproj perspective camzoom(1.25) view(65,45)