Abstract
Geostatistical modeling of cross-correlated variables in deposits is of paramount importance for mineral resource evaluation. The resulting constructed block model is expected to re-establish this correlation among the variables. Independent estimation, however, may be inadequate as the data correlation is not taken into account precisely. To tackle this problem, cokriging approach can be used. Nevertheless, cokriging system may be unstable when dealing with numerous amount of sample points. Reducing the size of cokriging system can be introduced as a choice, to circumvent this difficulty, by considering a sub-set of data. Multi-collocated cokriging in this respect, as an offshoot of collocated cokriging approach provides much trustworthy results. In this study, three searching strategies are selected to estimate the gold grade in a deposit. The results showed that Multi-collocated cokriging in the case of moving neighborhood bear resemblance to Multicollocated kriging in the case of unique neighborhood.