Constrained, covariance-matching constrained and universal point or block kriging CRAN Task View: Spatial (http://CRAN.R-project.org/view=Spatial) The constrainedKriging package provides functions for efficient computations of nonlinear spatial predictions with local change of support. The package supplies functions for two-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. Software Depends: R (>= 2.9.0), sp(>= 0.9-60), spatialCovariance(>= 0.6-4), methods Imports: gpclib(>= 1.5-1), RandomFields(>= 1.3.41) Suggests: spdep(>= 0.5-43) Christoph Hofer <christoph.hofer@alumni.ethz.ch> Christoph Hofer GPL (>= 2) 2012-04-24 application/tgz http://CRAN.R-project.org/package=constrainedKriging