# 3D models with side walls

These examples show a GMT.jl version of a PyGMT post in the GMT forum and that can be found at the original author's, JiahongLuo, Github site

The cubeplot function let us easily plot images on the sides of a cube. That function can also be used to create those side figures directly from a 3D cube grid.

using GMT

# Create two data cubes (grids) with the Vp and Vs velocities
Cvp = xyzw2cube(model);
Cvs = xyzw2cube(model, zcol=5);

# Add names to the cube layers to be used as titles in next figure
Cvp.names = ["Depth = $(Int(i)) km" for i in Cvp.v]; Cvs.names = ["Depth =$(Int(i)) km" for i in Cvs.v];

Show all 12 layers of the P-waves velocity in a figure. We use a diffent colormap for each layer to avoid that layers become too monochromatic.

viz(Cvp, colorbar=true, cmap=:same, title="Vp model")

Show the P and S velocities with a slight variation of the top layer. For the P-velocity we plot the topography on top and for the S-velocity we show the superficial S velocity but apply a shading effect calculated from the topography grid.

cubeplot(Cvp, top="@earth_relief_05m", colorbar=("xlabel=P-wave velocity", "ylabel=km/s"), zdown=true, title="Vp model")
cubeplot!(Cvs, top="@earth_relief_05m", topshade=true, zdown=true, colorbar=("xlabel=S-wave velocity", "ylabel=km/s"), xshift=18, title="Vs model", show=true)

To finish we show how to make an inset view in the 3D model.

cubeplot(Cvp, top="@earth_relief", inset=(lon=100, lat=35), topshade=true, zdown=true,
colorbar=("xlabel=P-wave velocity", "ylabel=km/s"), show=true)