Picture a circle with a diameter of 2.
Now take a 1/4 slice from this circle where by each of the 2 sides not including the side with the circumference equals the radius which should be 1.
Now play around with that math relative to Pi formulas and Pythagoras's theorem and see what you can find.

Ok now imagine you measured 2 attributes relative to this R-axial as I call it the first thing fractions of the triangular slice disregarding the circular slice. now imagine you change what of the circumference to use relative to your triangular slice.
Now imagine another circular slice which is inverted.
The rules are that all the triangles must make up a circle together and that the circular slices must all be joined.

Now you only want to view what the irregular circumference looks like if you intend to draw say a wav file starting at point one of the circumference and ending at the same point.
So compared to say AAc or MP3 your R-axial data can with Multi Modular Fractalization represent the same data in a less linear way at a far lower bit rate at least 1/4 or 1/8 of the MP3 size not only this but your data also can be more easily adapted for upscaling the real issue is not the regular depth of the object but the accuracy of it data representation that makes all the difference.

OK now in terms of 3D graphics.
All you need to know is R-Axial at 1/8 of spheres surface to deduce with 2d multi modular with fractalization and rules as to what pixels to show and the same technique as above but as R-axial slices making up a sphere although you will also so have to join spheres to get the correct results as to represent reality well and also for omni map optimisation you might want invisible joining.

R-axials could also be used to better analyse brain wave data.
In term's of describing turbulence you just need to get the joining right.
In the world of statistics you could work with r-axial interpretations of graph data as to analyse better even small traits.

So if you look at this issue you may ask why have R-Axials never been worked on before.
Well Quarternians and Radian's seem to have filled the niche and blinded man from seeing things this way round even though forever this r-axial secret has been around. If nubian's knew about R-Axials at the time of the great pyramid they may have gone a lot further in purpose and design and our current day may well be a lot more interesting.