R: Block Kriging using Dicrete Gaussian Model

krigdgm {RGeostats}

R Documentation

Block Kriging using Dicrete Gaussian Model

Description

Block Kriging using Dicrete Gaussian Model

Usage

krigdgm(dbin, dbout, model = model.input(), neigh = neigh.input(), uc = c(""), mean = 0, rval = 0.9, flag.est = TRUE, flag.std = TRUE, flag.varz = FALSE, radix = "KrigDGM", modify.target = db.locmod())

Arguments

`dbin`	The `db-class` structure containing the data file
`dbout`	The `db-class` structure containing the target file. It should be organized as a regular grid.
`model`	The `model-class` structure containing the Model information 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
`rval`	Change of support coefficient
`flag.est`	When TRUE, the estimation is required (at each target)
`flag.std`	When TRUE, the standard deviation of estimation is required (at each target)
`flag.varz`	When TRUE, the variance of the estimation is required (at each target)
`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 output Db where the requested variables are stored.

[Package RGeostats version 14.0.10 Index]