interpolate_2D {RIntaros}R Documentation

Interpolate Target Variable on a 2-D grid

Description

Interpolate Target Variable on a 2-D grid

Usage

interpolate_2D(dbin, var, mesh = 1,
               vario_lag = 0.5, vario_nlag = 20,
	       moving = FALSE, nmaxi = 40, model = NA, struct = c(1, 12),
	       dirvect = c(0, 45, 90, 135), draw.model = FALSE,
	       verbose = FALSE, ...)

Arguments

dbin

The db-class structure containing the IMR data.

var

Name of the Target variable

mesh

Horizontal Mesh of the resulting grid

vario_lag

Lag of the experimental variogram calculated

vario_nlag

Number of variogram lags to be calculated

moving

When TRUE, a Moving Neighborhood is used. Otherwise the Neighborhood is Unique.

nmaxi

Maximum number of samples used per Neighborhood. This parameter is used only if the flag 'moving' is set to TRUE.

model

The model-class used for interpolation. When defined, the steps for calculating the Experimental Variogram and fitting the Model are not performed.

struct

Set of basic structures used for fitting the Model

dirvect

Set of directions where the (horizontal) experimental variograms must be calculated. If not defined, an omni-directional is calculated instead.

draw.model

When TRUE, the experimental variogram and the fitted model are represented graphically.

verbose

Verbose flag

...

Arguments passed to prepar_model.

Value

A new db-class organized as a regular 2-D grid which contains the estimation result as well as the variance of the estimation error.


[Package RIntaros version 1.1 Index]