Integrating soil map information in modelling the spatial variation of continuous soil properties

摘要: This paper presents two indicator algorithms that integrate soil map information into modelling the spatial variation of continuous properties: these are simple kriging with varying means and Markov-Bayes algorithm. Both methods used to evaluate probabilities for copper cobalt deficiencies in Borders Region Scotland. Results compared maps obtained by polygonal method (Thiessen polygons) an algorithm does not use information. Accounting is shown improve delineation deficient areas, especially where sampling sparse. Test locations classified as or so minimize expected cost misclassification derived from focal probability distributions functions measuring overestimating underestimating metal concentrations. The comparison classification results actual concentrations at test shows proposed can decrease substantially economic loss attached misclassification.