rgauss: rgauss function

Description Usage Arguments Value

View source: R/spatialOnly.R

Description

A function to simulate a Gaussian field on a regular square lattice, the returned object is of class lgcpgrid.

Usage

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rgauss(n = 1, range = c(0, 1), ncells = 128,
  spatial.covmodel = "exponential", model.parameters = lgcppars(sigma = 2,
  phi = 0.1), covpars = c(), ext = 2)

Arguments

n

the number of realisations to generate. Default is 1.

range

a vector of length 2, defining the left-most and right most cell centroids in the x-direction. Note that the centroids in the y-direction are the same as those in the x-direction.

ncells

the number of cells, typially a power of 2

spatial.covmodel

spatial covariance function, default is exponential, see ?CovarianceFct

model.parameters

parameters of model, see ?lgcppars. Only set sigma and phi for spatial model.

covpars

vector of additional parameters for spatial covariance function, in order they appear in chosen model in ?CovarianceFct

ext

how much to extend the parameter space by. Default is 2.

Value

an lgcp grid object containing the simulated field(s).


lgcp documentation built on May 19, 2017, 2:59 p.m.

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