Abstract. The aim of this study is to investigate the effects of 'Inverse Distance Weighted' interpolation and 'Ordinary Kriging' on a discrete spatial data set. By interpolating the discrete data points with three different techniques observations have been made on the resultant raster surface produced. The test data used for this is a 300m2 surveyed area of the Waiotahi Valley east of Tauranga, the various prediction models highlight the difference visually and statistically and answer …
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…Best linear unbiased prediction in the generalized linear regression model. JASA, 57:369-375, 1962. K. Kerry and K. Hawick, "Kriging Interpolation on High Performance Computers", Proc. of High Performance Computing and Networks Europe. LNCS 1401, Springer-Verlag 1998. Nychka, D. (1999). Spatial process estimates as smoothers. In Smoothing and Regression. Eds. Schimek, M. G. Wiley, New York. Wingle, W. L. (1992): Examining Common Problems Associated with Various Contouring Methods, Particularly Inverse-Distance Methods, Using Shaded Relief Surfaces. Geotech `92 Conference Proceedings, Lakewood, Colorado, September 1992.