constrainedKriging: Constrained, covariance-matching constrained and universal point or block kriging

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.

Version: 0.2.3
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: 2014-05-26
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_0.2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: not available, r-oldrel: constrainedKriging_0.2.3.tgz
OS X Mavericks binaries: r-release: not available
Old sources: constrainedKriging archive

Reverse dependencies:

Reverse imports: georob