kriging {RGeoS}R Documentation

Performs Kriging

Description

Kriging procedure

Usage

kriging(dbin, dbout, 
model = model.input(), neigh = neigh.input(), 
uc = c("1"), mean = NA, flag.linked = FALSE, calcul = "point", 
ndisc = NA, cov.extract = NA, drift.extract = NA,
flag.est = TRUE, flag.std = TRUE, 
flag.colk = FALSE, flag.grad = FALSE, 
ball.radius = 1,radix = NA,modify.target = TRUE)

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 vector of strings describing the drift conditions

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).

calcul

Kriging option:

  • "point" : for ponctual estimation

  • "block" : for block average estimation

  • "drift" : for large scale drift estimation

ndisc

Array giving the number of discretisation points in each direction of the space

cov.extract

List of the ranks of the basic structures to be filtered out

drift.extract

List of the ranks of the drift functions to be filtered out

flag.est

When TRUE, the estimations are required

flag.std

When TRUE, the standard deviation of estimations are required

flag.colk

When TRUE, the Collocated Cokriging option is performed

flag.grad

When TRUE and if gradient components are defined in the input db-class, then kriging is performed using the Gradient constraints

ball.radius

Radius of the ball used for Gradient integration

radix

Radix of the name given to the variables storing the results in the target Db.

modify.target

When TRUE, the kriging results (estimation or standard deviation) are set as new target variables in the output Db.

Value

The target Db where the following variables have been added:

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


[Package RGeoS version 9.1.1 Index]