makeCRM: Defining a spatial correlogram model

In spup: Spatial Uncertainty Propagation Analysis

Defining a spatial correlogram model

Description

Function that generates a spatial correlogram model, an object of class "SpatialCorrelogramModel".

Usage

makeCRM(
  acf0 = 1,
  range = NA,
  model,
  anis,
  kappa = 0.5,
  add.to,
  covtable,
  Err = 0
)

Arguments

acf0	Aurocorrelation function value at distance near 0. Default is 1. Must fall in interval [0,1].
range	Range parameter of the correlogram model component.
model	Model type, e.g. "Exp", "Sph", "Gau", "Mat" that vgm() accepts. See ?gstat::vgm() for more #' details.
anis	Anisotropy parameters. See ?gstat::vgm() for more details.
kappa	Smoothness parameter for the Matern class of variogram models. See ?gstat::vgm() for more #' details.
add.to	See ?gstat::vgm() (currently not in use)
covtable	See ?gstat::vgm() (currently not in use)
Err	Numeric. See ?gstat::vgm() for more details.

Details

For the spatial variables allowed autocorrelation functions are listed in Table 4.1 of the gstat manual. Spatial correlation assumes stationarity, i.e. correlation depends only on the separation distance between points in space. Anisotropy is allowed. No nested models are allowed in the current version.

Value

An object of a class "SpatialCorrelogramModel". This is a list collating provided arguments.

Author(s)

Kasia Sawicka, Gerard Heuvelink

Examples

mycormodel <- makeCRM(acf0 = 0.8, range = 300, model = "Exp")
str(mycormodel)

spup documentation built on May 29, 2024, 5:10 a.m.