CCG Programs

Description Usage Arguments Details Value

Anomalies compared with raw program:

kt3dnR(grid_def, samples, vars, bhid = NULL, xyz = c("x", "y", "z"),
  keygrid = NULL, keyval = 0, n_dataspac = 4, l_dataspac = 6,
  idbg = 0, ndis = c(3, 3, 1), minmax = c(16, 30), noct = 2,
  ndhmax = 0, srchdist = c(10, 10, 10), srchang = c(0, 0, 0),
  ktype = 1, skmean = 0, corr = 0, zvar = 0, mvario = NULL,
  idw = TRUE, debug = FALSE)

`grid_def`	Standard grid definition, which is a named numeric vector with elements (in order): n_x, n_y, n_z, min_x, min_y, min_z, dim_x, dim_y, dim_z, realz (realz is not used). This will be the grid that values are estimated into.
`samples`	Data frame of sample data.
`vars`	Character vector (length 1–2) of variables in `samples` to be estimated. First is primary, second is secondary.
`bhid`	Scalar character name of hole id column in `samples`. Only needed if `ndhmax` is > 0.
`xyz`	Charcater vector of coordinate column names in `samples`.
`keygrid`	A data frame grid with columns x, y, and z and a fourth column containing a flag for nodes to be estimated (flag value defined in argument `keyvalue`). This grid must have the same definition as that defined in argument `grid_def`. The full extend of this grid definition must be populated.
`keyval`	Scalar integer key value in `keygrid` that indicates nodes to be estiimated. Must be in column 4 after the three coordinate columns.
`n_dataspac`	Scalar integer number fo drillhole neighbours for estimation of 2D drillhole spacing.
`l_dataspac`	Scalar numeric composite length to use when estimating drillhole spacing in 3D data.
`idbg`	Scalar integer debug level: 0 none; or 3, 5, 10.
`ndis`	Integer vecots with number of discretization points in x, y and z. Use all 1s for point kriging.
`minmax`	Integer vector with minimum and maximum number of samples in the search neighbourhood.
`noct`	Scalar integer minimum samples for each octant. Use zero for no octants.
`ndhmax`	Scalar integer maximum samples per drillhole. Use zero for deactivate. If > 0 must specify `bhid` column name. Only useful for 3D kriging.
`srchdist`	Numeric vecotor of search radii in rotated x, y, and z.
`srchang`	Numeric vector of search oriention, azimuth, dip, and tilt.
`ktype`	Scalar integer kriging type: 0=SK, 1=OK, 2=LVM(resid), 3=LVM((1-w)*m(u))) ,4=colo, 5=exdrift, 6=ICCK.
`skmean`	Scalar numeric global mean grade for `ktype` 0, 4, 5, 6.
`corr`	Scalar numeric correlation for `ktype` 4 or 6.
`zvar`	Scalar numeric variance reduction factor for `ktype` 4.
`mvario`	Variogram model data frame or list of models as `gstat` class "variogramModel" or "variogramModelList".
`idw`	Boolean scalar do inverse distance weighting instead of kriging.
`debug`	Boolean scalar, if `TRUE` don't delete system files.

Cross and jacknife options not supported.
Auto search optimization not supported (will run if minimum set to negative value, however no otion to change max and increment and only first 'realization' is recognized by this implimentation.)
Kriging with external drift not supported (will run if ktype is set to 5, but no option to set drift indicators, etc.).
Input grid is required with a key value to define nodes to estimate.

Data frame grid with estimated variable.

truemoid/rgslib documentation built on May 30, 2019, 2:14 p.m.