Extensionf(x) = f(x1, x2, . . . , xn) of degree at most t, the value of the integral of f(x) on S^(n−1) (divided by the volume of S^(n−1)) is just the average value of f(x) on the finite set X. As is obvious from the definition, a spherical t-design is better if t is larger, and usually a spherical t-design X is better if the cardinality |X| is smaller.1 This is a subclass of SphericalDesign, used to load a design of a specific number of points and fundamental parameter t.
The T-Designs found here are from the work of Hardin and Sloane. These and other designs can be downloaded directly from their site: http://neilsloane.com/sphdesigns/
If you use any of these designs, please acknowledge this source.
| numPoints | 
 The number of points you'd like in your design. If multiple matches in the design library are found, the   | 
| t | 
 The desired t parameter. Can be   | 
| dim | 
 The t-design's dimensions. Only dimension 3 is supported.  | 
Return a t-design sutiable for ambisonic encoding or decoding.
| numChans | 
 The number of input or output channels, i.e., the number of t-design points. If   | ||||
| optimize | 
 Optimize criteria: 
 NOTE: Optimizing for energy spread,  \spreadE, returns a t-design sampled so that energy is smoothed evenely across the sphere, and uses a t-design with more points than \energy. | ||||
| order | 
 Ambisonic order.  | 
Return the design's t parameter.
See SphericalDesign: examples.