simbipgs {RGeostats} | R Documentation |

Bi-Plurigaussian conditional simulations

simbipgs(dbin = NA, dbout, dbprop=NA, rule1 = rule.input(), rule2 = rule.input(), model11 = NA, model12 = NA, model21=NA, model22=NA, neigh=neigh.input(), props = NA, domain=0, flag.gaus=FALSE, flag.prop=FALSE, flag.check=FALSE, flag.show=FALSE, seed = 232131, nbsimu = 1, nbtuba = 100, nboot = 10, niter = 100, percent=0.1, toleps=1, radix = "SimBiPGS", modify.target = db.locmod())

`dbin` |
The |

`dbout` |
The |

`dbprop` |
The |

`rule1` |
The |

`rule2` |
The |

`model11` |
The |

`model12` |
The |

`model21` |
The |

`model22` |
The |

`neigh` |
The |

`props` |
Array giving the (constant) proportions of the different facies involved in both Lithotype rules. The number of elements of this array is the product of the number of facies involved in both Lithotype rules. See details in |

`domain` |
When (strictly) positive, it corresponds to the reference domain value. If a Db attribute is defined as a Domain variable in a Db file, a sample will be selected only if the corresponding Domain variable is equal to the reference domain value. This Domain selection can serve as a secondary selection for the sample in the Input Db or as a mask in the Output Db. |

`flag.gaus` |
When FALSE, the simulation outcome is coded into facies. When TRUE, the (conditional) simulation is kept in the gaussian scale |

`flag.prop` |
When TRUE, the procedure returns the proportion of facies, rather than the simulations |

`flag.check` |
When TRUE (and if dbin is defined), the facies of conditioning data is compared to the facies of the closest grid node. |

`flag.show` |
When TRUE (and if dbin is defined), the grid node which coincides with a data is represented with the data facies (with a negative sign). |

`seed` |
Seed used for the generation of random numbers. When 0, the seed is not initialized. |

`nbsimu` |
Number of simulations |

`nbtuba` |
Number of turning bands |

`nboot` |
Number of iterations performed for bootstrap |

`niter` |
Maximum number of iterations for calculating the conditional expectation |

`percent` |
Amount of nugget effect added to the model if this initial model only contains Gaussian structures. If set to zero, the initial model is kept unchanged. This amount is defined as a percentage of the global variance. |

`toleps` |
Relative difference between the previous and the new value at a sample location below which the sample is considered as immobile |

`radix` |
Radix of the name given to the simulation outcomes stored in the output Db. |

`modify.target` |
Decides whether or not the newly created variables will have their
locator defined or not. For more information, see |

The data Db where the simulations outcomes have been added.

[Package *RGeostats* version 11.1.1 Index]