constrainedKriging: Constrained, Covariance-Matching Constrained and Universal Point or Block Kriging

Provides functions for efficient computations of nonlinear spatial predictions with local change of support. This 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. This 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.

Version: 0.2.4
Depends: R (≥ 2.9.0), sp (≥ 0.9-60), spatialCovariance (≥ 0.6-4), methods
Imports: rgeos (≥ 0.2-17), RandomFields (≥ 1.3.41)
Suggests: spdep (≥ 0.5-43)
Published: 2015-04-30
Author: Christoph Hofer
Maintainer: Christoph Hofer <christoph.hofer at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: constrainedKriging citation info
In views: Spatial
CRAN checks: constrainedKriging results


Reference manual: constrainedKriging.pdf
Package source: constrainedKriging_0.2.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: constrainedKriging_0.2.4.tgz, r-oldrel: constrainedKriging_0.2.4.tgz
OS X Mavericks binaries: r-release: constrainedKriging_0.2.4.tgz
Old sources: constrainedKriging archive

Reverse dependencies:

Reverse imports: georob