Convert Distiribution Function
Kriging creates values in more narrow ranges than the real values of inner estimation methods such as reverse distance. Practically, lower values are estimated high and vice versa. Also, it is not possible to assess the uncertainty relating to real values with inner estimation methods. Therefore, in the cases where the variability depending on distance is important or where it is required to create multiple numeric model with equal possibility for ore beds, geostatistical simulation techniques should be used.
Data created with geostatistical simulation has the same frequency distribution and same histogram as real values. In addition, when conditional simulation method is used, simulation values and existing values are the same.
Consecutive simulation technique is based on data extraction from conditional distribution functions. Consecutive simulation is divided into two classes according to the type of distribution function simulation: Consecutive Normal Simulation and consecutive limit (Binary) Value Simulation.
