CCG Programs

Description Usage Arguments Value

usgsimR is an interface to the CCG simulation program usgsim, which uses SGS. Some functionality of the Fortran program is not implimented in this interface: - Weight field. - Rock types. - Seconday variables. - Normal-score transformation reference distributions. - Trend data. - Only writes output format 0: regular.

usgsimR(data, mvario, vars, corr, xyz = c("x", "y"), n_realz = 1,
  seed = 60221409, grid_def = c(n_x = 50, n_y = 50, n_z = 1, min_x =
  0.5, min_y = 0.5, min_z = 0.5, dim_x = 1, dim_y = 1, dim_z = 1),
  simout = "sgsim", imputeout = "impute", debuglevel = 0,
  n_prev = 12, srchdist = c(10, 10, 10), srchang = c(0, 0, 0),
  sortmethod = 0, covarsort = c(1, 1, 1), clip = TRUE, assign = 1,
  trans = TRUE, nquant = 200, krigmethod = 2, altflag = 0,
  cosim = TRUE, domgrid = NULL)

`data`	Data frame containing coordinates and variables to condition the simulations.
`mvario`	Variogram model data frame or list of models as `gstat` class "variogramModel" or "variogramModelList".
`vars`	Character vector of column names to be simulated.
`corr`	Correalation matrix (from `cor`) for `vars`.
`xyz`	Character vector of coordinate column names.
`n_realz`	Scalar integer number of simulation realizations.
`seed`	Scalar integer seed for renadom number generation.
`grid_def`	Named numeric vector with x, y, and z-axis grid definition: n_x, n_y, n_z, min_x, min_y, min_z, dim_x, dim_y, dim_z, realz.
`simout`	Name of GeoEase grid file to contain output simulations.
`imputeout`	Name of file to contain imputed data in heterotopic case.
`debuglevel`	Scalar integer either 0 (none) or 1, 2, or 3 for increasing levels of reporting.
`n_prev`	Scalar integer number of previously simulated nodes to use.
`srchdist`	Numeric vector search readii: x, y, z.
`srchang`	Numeric vector search angles: ang1, ang2, ang3.
`sortmethod`	Scalar numeric: sort by distance (0) or covariance (1).
`covarsort`	Numeric vector: if sorting by covariance, indicate variogram rock type, head, tail to use.
`clip`	Scalar boolean: clip data to grid.
`assign`	Scalar integer: assign to the grid, 0=none, 1=nearest, and 2=average.
`trans`	Scalar boolean: perform normal score transormation of input samples and backtransofrmation of simulation.
`nquant`	Scalar integer: number of quantiles to keep from transform.
`krigmethod`	Scalar integer: kriging method: 1=independent, 2=CCK, 4=CK, 5=ICCK, 6=BU.
`altflag`	Scalar integer: option for primary variables if BU; or for secondary variables if CK.
`cosim`	Scalar boolean: perform cosimulation of multiple variables.
`domgrid`	Data frame containing x, y, and, optionally z coordinate columns that define the domain grid and a domain or zone field(s). Output data will be contain domain code for those coorindate points. Coordinate columns must be the same as `xyz`.