Spherical distributions are probability distributions that are invariant under rotations and are used to model data that is uniformly distributed over the surface of a sphere. They are particularly useful in directional statistics and can be applied to fields such as geology, meteorology, and machine learning for analyzing and interpreting multidimensional data with inherent symmetry.