uncertaintyError: Creates S4 object class UncertainPoints

In UncerIn2: Implements Models of Uncertainty into the Interpolation Functions

Description

Builds an uncertainty model over the input data based on the spatially correlated errors. Input data must be type of S4 class Points. Output object is type of S4 class UncertainPoints.

Usage

uncertaintyError(input, T = NULL, grid = FALSE, distances = NULL,
  dim = NULL, data = NULL, given = NULL)

Arguments

input	Input data. S4 class of Points
T	optional vector of time coordinates, T must always be an equidistant vector. Instead of T=seq(from=From, by=By, len=Len) one may also write T=c(From, By, Len).
grid	Logical; RandomFields can find itself the correct value in nearly all cases, so that usually grid need not be given.
distances	Another alternative to pass the (relative) coordinates.
dim	Only used if distances are given.
data	For conditional simulation and random imputing only. If data is missing, unconditional simulation is performed.
given	Optional, matrix or list. If given matrix then the coordinates can be given separately, namely by given where, in each row, a single location is given.

Details

For the calculations of spatially correlated errors was used package RandomFields.

Value

Returns an object of class UncertainPoints.

See Also

Points-class, UncertainPoints-class, RFsimulate, uncertaintyInterpolation2-package

UncerIn2 documentation built on May 2, 2019, 3:48 p.m.