Spatial Interpolation Methods

Spatial Interpolation is the process of using points with known values to estimate values at other points. Through Spatial Interpolation, we can estimate precipitation at a location where there is no recorded data, using known precipitation readings from nearby weather stations.

Spatial Interpolation requires two basic inputs:

  • Example Points
  • Spatial Interpolation Method
  • Example Points
  • Example Points are points with known values. The sample points provide the necessary data for the development of interpolators for Spatial Interpolation.
  • The number and distribution of sample points can greatly affect Spatial Interpolation accuracy.

Point Interpolation methods can be categorized in several ways.

  • local or global
  • full or approximate
  • gradual or sudden
  • deterministic or stochastic


Read more in the attached whitepaper.