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Rainfall is considered a highly valuable climatologic resource, particularly in arid regions. In this study, the ordinary kriging (OK) and simple kriging (SK) methods are compared with two multivariate algorithms which take into account the altitude: ordinary co-kriging (OCK) and collocated co-kriging (CCK). The different techniques are applied to monthly and annual precipitation data measured at 37 meteorological stations in Central Kavir basin of Iran. After carrying out cross-validation, the smallest prediction errors are obtained for the tow multivariate algorithms. The exploratory data analysis, variogram model fitting, and generation precipitation prediction map were accomplished through use of Arc GIS software.