krigcell {RGeostats} | R Documentation |
Kriging procedure for Irregular Blocks
krigcell(dbin, dbout, model = model.input(), neigh = neigh.input(), uc = c("1"), mean = NA, flag.linked = FALSE, ndisc = NA, cov.extract = NA, drift.extract = NA, flag.est = TRUE, flag.std = TRUE, rank.colcok = NA, radix = "Kcell",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). |
ndisc |
Array giving the number of discretisation points in each direction of the space |
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 |
rank.colcok |
Array of ranks for the colocated variables, in the case of a
colocation option. For more information, check |
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.