MCS (Multivariate Conditional Simulator) is used to provide conditionally simulated models of multivariate data. MCS:

  • Reproduces all univariate and bivariate statistics including cross correlations between all variables
  • Implements the K-D Trees search algorithm
  • Uses local anisotropic search neighborhoods at each grid node for each variable
  • Is capable of simulating as many as 13 cross correlated variables at 100 million grid nodes in less than 24 hours