krigsampling {RGeostats}R Documentation

Perform the Simple Kriging estimation using parcimonious neighborhood

Description

Perform the Simple Kriging estimation using parcimonious neighborhood

Usage

krigsampling(dbin, dbout = NA, model = model.input(), flag.std = TRUE,
             mean = NA, ranks1 = NA, ranks2 = NA, beta = 0, verbose = FALSE,
             radix = "Kriging", modify.target = db.locmod())

Arguments

dbin

The db-class structure containing the data file. There must be a single variable (with Z locator)

dbout

The db-class structure containing the target file

model

The model-class structure containing the Model information

flag.std

TRUE if the calculation of the standard deviation of the estimation error must also be performed.

mean

Value for the mean of the variable, used as the process is performed in Simple Kriging

ranks1

Array of ranks of samples selected as exact pivots.

ranks2

Array of ranks of samples selected as ACP pivots.

beta

This parameter corresponds to the percentage of samples (although selected in a preliminary sampling) which must be ignored in order to reduce the number of retained pivots. This will reduce the computational time for a posterior kriging activity.

verbose

Verbose flag

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 argument 'dbout' with the newly created variables, i.e.:


[Package RGeostats version 11.1.2 Index]