  Geospatial interpolation is a challenging task due to real world data often
being sparse, heterogeneous and inconsistent. For that matter, this work
presents SkNNI, a spherical interpolation algorithm capable of working with
such challenging geospatial data. This work also presents NDDNISD an accurate
and efficient interpolation function for SkNNI which shines due to its spatial
awareness in terms of proximity and distribution of observation neighbors.
SkNNI's open source implementation is also discussed and illustrated with a
simple usage example.
