The disjunctive kriging (DK) method described in the first paper of this series is extended to account for more than one random function. In the derivation contained herein, two random functions are considered, but this is easily generalized to any number. An example is presented using disjunctive cokriging (DCK) where the surface gravimetric moisture content is estimated using the bare soil temperature as an auxiliary random function. The results indicate that the DCK procedure produces a better estimator than ordinary cokriging in terms of reduced variance of errors and exactness of estimation. Also, using DCK, an estimate of the conditional probability that the level of a property is greater than a known cutoff value can be obtained. In general, this conditional probability is better than the DK probability by virtue of the additional information contained in the second, auxiliary random function.
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