  This contribution presents a new analysis of properties of the interpolation
using Radial Bases Functions (RBF) related to large data sets interpolation.
The RBF application is convenient method for scattered d-dimensional
interpolation. The RBF methods lead to a solution of linear system of equations
and computational complexity of solution is nearly independent of a
dimensionality. However, the RBF methods are usually applied for small data
sets with a small span geometric coordinates. This contribution explores
properties of the RBF interpolation for large data sets and large span of
geometric coordinates of the given data sets with regard to expectable
numerical stability of computation.
