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 the precipitation value at a location with no recorded data by using known precipitation readings at nearby weather stations.

Spatial Interpolation requires two basic inputs:

  • Sample Points
  • Spatial Interpolation Method

Sample Points
Sample Points are points with known values. Sample points provide the data necessary for the development of interpolator for spatial interpolation.
The number and distribution of sample points can greatly influence the accuracy of spatial interpolation. 

Point interpolation methods may be categorized in several ways.

  • local or global
  • exact or approximate
  • gradual or abrupt
  • deterministic or stochastic
     

Read more in attached whitepaper.