potential.kriging {RGeostats} | R Documentation |
Estimation using the Potential Method
potential.kriging(db, dbgrd, dbout, dbtgt = NA, model = model.input(), neigh = neigh.input(), uc=c("1"), nugget.grd = 0, nugget.tgt = 0, zmin=0, zmax=100, znumber=10, flag.up = TRUE, flag.grad = FALSE, flag.trans=TRUE, flag.part = 0, verbose = FALSE, radix = "Potential", modify.target = db.locmod())
db |
The |
dbgrd |
The |
dbout |
The |
dbtgt |
The |
model |
The
An additional nugget effect is also authorized. |
neigh |
The |
uc |
The drift description. Use command |
nugget.grd |
The value of the nugget effect on the Gradient component |
nugget.tgt |
The value of the nugget effect on the Tangent component |
flag.grad |
When TRUE, the estimation of the potential is calculated together with the gradient components. When FALSE, only the potential estimation is calculated. |
flag.trans |
When TRUE, the estimation is returned as the layer rank; otherwise the estimation is provided as the potential value. |
flag.part |
The user may decompose the contribution of the different elements in the potential estimation. This parameters must be specified as follows:
By linearity, the sum of all the components (flag.part>0) should be equal to the potential estimation (flag.part==0). |
verbose |
Verbose option |
radix |
Radix of the name given to the variables storing the results in the target Db. |
modify.target |
Decides whether or not the newly created variables will have their
locator defined or not. For more information, see |
When performing the estimation on 'dbout' target points using the Potential Method, the Potential values at Intercept (recentered to the value of this Potential at the first data point of the first Intercept) are dumped out. They can be accessed using the keypair mechanism as follows:
get.keypair("Potential.Estimation")
The target Db where the following variables have been added:
the estimation variable
the gradient estimation variables (if flag.grad=TRUE)