A study of two data grid interpolation algorithm based on surfer software

It is not easy to use limited point-source data to provide a precise description of the morphology of a geological surface, and it always needs different kinds of data grid interpolation to make up the vacancy between the data sources. In many geosciences research fields there is need for interpolating from irregularly spaced data source to generate digital elevation models (DEM), however the point-source data from the different spatial shapes will directly affect the result of interpolation. This paper presents a comparison of two kinds of data grid interpolation methods-modified Shepard´s method interpolation and radial basis function interpolation based on Surfer Software, using a specific mathematical surface function to select point-source data to present interpolation and calculation, theoretically using the different point-source data works out the difference of these two interpolation method generated by the GRID surface model, and it summarizes how to obtain valid point-source data to improve the effect of girding data interpolation.