kriging {RGeoS} | 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, cov.extract = NA, drift.extract = NA, flag.est = TRUE, flag.std = TRUE, flag.colk = FALSE, flag.grad = FALSE, ball.radius = 1,radix = NA,modify.target = TRUE)
dbin |
The |
dbout |
The |
model |
The |
neigh |
The |
uc |
The vector of strings describing the drift conditions |
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 |
cov.extract |
List of the ranks of the basic structures to be filtered out |
drift.extract |
List of the ranks of the drift functions to be filtered out |
flag.est |
When TRUE, the estimations are required |
flag.std |
When TRUE, the standard deviation of estimations are required |
flag.colk |
When TRUE, the Collocated Cokriging option is performed |
flag.grad |
When TRUE and if gradient components are defined in the input |
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 |
When TRUE, the kriging results (estimation or standard deviation) are set as new target variables in the output Db. |
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.