Comparison of several spatial prediction methods for soil pH

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Abstract
SUMMARY: A survey of topsoil pH has been designed specifically to compare the performance of several two‐dimensional spatial prediction methods. These methods have been classified as global or local, and interpolating or non‐interpolating, and smooth or non‐smooth predictors. The techniques tested were global means and medians, moving averages, inverse squared distance interpolation, Akima's interpolation, natural neighbour interpolation, quadratic trend surface, Laplacian smoothing splines and ordinary kriging. All methods showed some deficiencies; for example, prediction sums‐of‐squares were higher than expected for all methods. Interpolating methods either were very poor predictors, or suffered from theoretical drawbacks, or both. Of the non‐interpolating methods, Laplacian smoothing splines and kriging generally performed best. Estimates of variance derived from models which assume independent errors were greater than estimates of variance derived from neighbouring pairs of data sites, suggesting that short range correlations definitely exist, and should be taken into account in any predictive modelling.
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