SimulateRF {RandomFields} | R Documentation |
DoSimulateRF
performs an already initialized simulation.
InitSimulateRF
internal function;
use InitGaussRF
and InitMaxStableRF
, instead.
SimulateRF
internal function;
use GaussRF
and MaxStableRF
, instead.
DoSimulateRF(n=1, register=0) InitSimulateRF(x, y=NULL, z=NULL, grid, model, param, method=NULL, register=0, gridtriple=FALSE, distribution=NA) SimulateRF(x, y=NULL, z=NULL, grid, model, param, method=NULL, n=1, register=0, gridtriple=FALSE, distribution=NA)
x |
matrix of coordinates, or vector of x coordinates |
y |
vector of y coordinates |
z |
vector of z coordinates |
grid |
logical; determines whether the vectors x ,
y , and z should be
interpreted as a grid definition, see Details. |
model |
string; covariance or variogram model,
see CovarianceFct , or
type PrintModelList() to get all options |
param |
parameter vector:
param=c(mean, variance, nugget, scale,...) ;
the parameters must be given
in this order; further parameters are to be added in case of a
parametrised class of models, see CovarianceFct |
method |
NULL or string; Method used for simulating,
see RFMethods , or
type PrintMethodList() to get all options |
n |
number of realisations to generate |
register |
0:9; place where intermediate calculations are stored; the numbers are aliases for 10 internal registers |
gridtriple |
logical; if gridtriple==FALSE ascending
sequences for the parameters
x , y , and z are
expected; if gridtriple==TRUE triples of form
c(start,end,step)
expected; this parameter is used only
if grid==TRUE |
distribution |
marginal distribution:"Gauss" , "Poisson" , or "MaxStable" .
|
InitSimulateRF
returns 0 if no error has occured during the
initialisation process, and a positive value
if failed.
SimulateRF
and DoSimulateRF
return NULL
if an error has occured; otherwise the returned object
depends on the parameters n
and grid
:
n==1
:
* grid==FALSE
. A vector of simulated values is
returned (independent of the dimension of the random field)
* grid==TRUE
. An array of the dimension of the
random field is returned.
n>1
:
* grid==FALSE
. A matrix is returned. The columns
contain the repetitions.
* grid==TRUE
. An array of dimension
d+1, where d is the dimension of
the random field, is returned. The last
dimension contains the repetitions.
Martin Schlather, Martin.Schlather@uni-bayreuth.de http://www.geo.uni-bayreuth.de/~martin
GaussRF
, MaxStableRF
, RandomFields