R: Performs Kriging on profiles

krigprof {RGeostats}

R Documentation

Performs Kriging on profiles

Description

Procedure for Kriging on profiles

Usage

krigprof(dbin, dbout, 
model = model.input(), neigh = neigh.input(), 
uc = c("1"), mean = NA, flag.linked = FALSE,  
flag.est = TRUE, flag.std = TRUE, 
radix = "Kprof", modify.target = db.locmod())

Arguments

`dbin`	The `db-class` structure containing the data file. There must be a single Z variable, a CODE variable and a V variable containing the variance of measurement error.
`dbout`	The `db-class` structure containing the target file
`model`	The `model-class` structure containing the Model information. This Model must correspond to a single variable. For more information check `check.model`.
`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 generated for each code are sharing the same mean (or more generally the same drift). Otherwise, the variables corresponding to different codes have separate means (drifts).
`flag.est`	When TRUE, the estimations are required
`flag.std`	When TRUE, the standard deviation of estimations are required
`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: - the estimation variable (if flag.est=TRUE) - the standard deviation variable (if flag.std=TRUE)

[Package RGeostats version 14.0.10 Index]