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, ncode = 5, 
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.

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).

ncode

Maximum number of codes to be considered. Only the samples which belong to the profiles with a code lying between 1 and 'ncode' will be kept. The other sample will be ignored.

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 11.0.6 Index]