a simulation comparison of ordinary kriging with indicator kriging

Spatial data analysis methods have many applications in various fields‎, ‎such as agriculture‎, ‎mining engineering‎, ‎and meteorology‎. ‎in this study‎, ‎ordinary kriging and indicator kriging are considered to predict alumina grade in the jajarm mine in iran‎, ‎and the precision of the methods is computed‎. ‎a conditional simulation is carried out based on the data set for a more general comparison of ordinary and indicator kriging to interpolate alumina grade in the mine‎. ‎in the case of monitoring possible variation related to sample size and type of variogram model‎, ‎simulations are performed with various sample sizes and different types of variogram models‎. ‎then ordinary and indicator kriging methods are applied for every set of simulated data (concerning different sample sizes and types of variogram models)‎, ‎and root of standardized mean square error prediction is considered as a cross-validation criterion to compare the kriging methods‎. ‎the simulation results show that under the assumptions‎, ‎ordinary kriging has better performance than the indicator kriging method.