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.
alimohammadi, R. (2023). A simulation comparison of ordinary kriging with indicator kriging. Journal of Statistical Modelling: Theory and Applications, 4(1), 137-146. doi: 10.22034/jsmta.2024.20395.1108
MLA
Roshanak alimohammadi. "A simulation comparison of ordinary kriging with indicator kriging", Journal of Statistical Modelling: Theory and Applications, 4, 1, 2023, 137-146. doi: 10.22034/jsmta.2024.20395.1108
HARVARD
alimohammadi, R. (2023). 'A simulation comparison of ordinary kriging with indicator kriging', Journal of Statistical Modelling: Theory and Applications, 4(1), pp. 137-146. doi: 10.22034/jsmta.2024.20395.1108
VANCOUVER
alimohammadi, R. A simulation comparison of ordinary kriging with indicator kriging. Journal of Statistical Modelling: Theory and Applications, 2023; 4(1): 137-146. doi: 10.22034/jsmta.2024.20395.1108
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