Package: constrainedKriging
Version: 0.1.1
Type: Package
Title: Constrained, covariance-matching constrained and universal point
or block kriging
Date: 2010-02-24
Author: Christoph Hofer
Maintainer: Christoph Hofer <christoph.hofer@alumni.ethz.ch>
Description: The constrainedKriging package provides functions for
efficient computations of nonlinear spatial predictions with
local change of support. The package supplies functions for
tow-dimensional spatial interpolation by constrained,
covariance-matching constrained and universal (external drift)
kriging for points or block of any shape for data with a
nonstationary mean function and an isotropic weakly stationary
variogram. The linear spatial interpolation methods,
constrained and covariance-matching constrained kriging,
provide approximately unbiased prediction for nonlinear target
values under change of support. The constrainedKriging package
extends the range of geostatistical tools available in R and
provides a veritable alternative to conditional simulation for
nonlinear spatial prediction problems with local change of
support.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Depends: R (>= 2.9.0), sp(>= 0.9-60), spatialCovariance(>= 0.6-4),
methods
Imports: gpclib(>= 1.5-1), RandomFields(>= 1.3.41)
Packaged: 2010-08-09 10:29:00 UTC; hoferc
Repository: CRAN
Date/Publication: 2010-08-09 14:49:19

Package: constrainedKriging
Version: 0.1.2
Type: Package
Title: Constrained, covariance-matching constrained and universal point
or block kriging
Date: 2010-02-24
Author: Christoph Hofer
Maintainer: Christoph Hofer <christoph.hofer@alumni.ethz.ch>
Description: The constrainedKriging package provides functions for
efficient computations of nonlinear spatial predictions with
local change of support. The package supplies functions for
tow-dimensional spatial interpolation by constrained,
covariance-matching constrained and universal (external drift)
kriging for points or block of any shape for data with a
nonstationary mean function and an isotropic weakly stationary
variogram. The linear spatial interpolation methods,
constrained and covariance-matching constrained kriging,
provide approximately unbiased prediction for nonlinear target
values under change of support. The constrainedKriging package
extends the range of geostatistical tools available in R and
provides a veritable alternative to conditional simulation for
nonlinear spatial prediction problems with local change of
support.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Depends: R (>= 2.9.0), sp(>= 0.9-60), spatialCovariance(>= 0.6-4),
methods
Imports: gpclib(>= 1.5-1), RandomFields(>= 1.3.41)
Packaged: 2010-08-16 22:12:34 UTC; hoferc
Repository: CRAN
Date/Publication: 2010-08-17 05:05:57