kriging {RGeostats} | R Documentation |
Kriging procedure
kriging(dbin, dbout, model = model.input(), neigh = neigh.input(), uc = c("1"), mean = NA, flag.linked = FALSE, calcul = "point", ndisc = NA, mat.CL = NA, nostat = NA, cov.extract = NA, drift.extract = NA, flag.est = TRUE, flag.std = TRUE, flag.varz=FALSE, rank.colcok = NA, flag.grad = FALSE, var.save=NA, ball.radius = 1,radix = "Kriging",modify.target = db.locmod())
dbin |
The |
dbout |
The |
model |
The |
neigh |
The |
uc |
The drift description. Use command |
mean |
Array containing the mean of each variable, used in the case of Simple (Co-)Kriging |
flag.linked |
When TRUE, the variables are sharing the same mean (or more generally the same drift). Otherwise, the variables have separate means (drifts). |
calcul |
Kriging option:
|
ndisc |
Array giving the number of discretisation points in each direction of the space. If the dimension of the argument 'ndisc' does not match the space dimension, this vector is set to 1 in each direction, leading to a point estimation. |
mat.CL |
Array giving the expression of the output variables (nvarout) as a function of the input variables (nvarin). The number of input variables must correspond to the number of variables for which the argument 'model' is defined. The dimension of 'mat.CL' is nvarout (nrow) x nvarin (ncol). |
nostat |
List of non-stationary parameters.
For details see |
cov.extract |
List of the ranks of the basic covariance structures to be extracted. Setting it to 0 filters out all the basic covariance structures. |
drift.extract |
List of the ranks of the drift basic components to be extracted. Setting if to 0 filters out all the drift basic components. |
flag.est |
When TRUE, the estimations are required |
flag.std |
When TRUE, the standard deviation of estimations are required |
flag.varz |
When TRUE, the variances of the estimators are required |
rank.colcok |
Array of ranks for the colocated variables, in the case of a
colocation option. For more information, check |
flag.grad |
When TRUE and if gradient components are defined in the input
|
var.save |
Array of the ranks of the variables for which the results are stored. If left undefined, the results of all variables are stored. |
ball.radius |
Radius of the ball used for Gradient integration |
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 |
The target Db where the following variables have been added:
the estimation variable (if flag.est=TRUE)
the standard deviation variable (if flag.std=TRUE)
These variables are multiplied for each one of the data variables.