krigcell {RGeostats}R Documentation

Performs Kriging of Irregular Blocks

Description

Kriging procedure for Irregular Blocks

Usage

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())

Arguments

dbin

The db-class structure containing the data file

dbout

The db-class structure containing the target file

model

The model-class structure containing the Model information

neigh

The neigh-class structure containing the Neighborhood information

uc

The drift description. Use command uc.names for details.

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 check.colcok.

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 db.locmod.

Value

The target Db where the following variables have been added:

These variables are multiplied for each one of the data variables.


[Package RGeostats version 11.1.1 Index]