The indicator approach to categorical soil data

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Abstract
SUMMARY: This second paper in the series presents a case study on the mapping of water table classes using indicator kriging. In particular, the behavior and performance of the method is investigated. The method performs well when validated on an independent data set and appears robust with regard to the number of observations. Sequential indicator simulation is used to generate equi‐probable maps of water table classes, which are then used in a land use suitability analysis for pasture. A measure for the errors in this analysis that arise from impurities in the map of water table classes is obtained.