Spatial interpolation is defined as predicting the values of a primary variable at points within the sameregion of sampled locations in terms of spatial data in the form of discrete points or in the form of datapartition (Li and Heap 2014). Spatial interpolation provides effective means to construct a continuoussurface from the discrete data or a surface with missing data (Wang and Wang 2012; Yue et al. 2015). Ittakes advantage of limited observation data to estimate the reasonable spatial distribution by filling missingdata.