Constrained, Covariance-Matching Constrained and Universal Point or Block Kriging R package constrainedKriging version 0.2-11 CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial) Provides functions for efficient computation of non-linear spatial predictions with local change of support (Hofer, C. and Papritz, A. (2011) "constrainedKriging: An R-package for customary, constrained and covariance-matching constrained point or block kriging" <doi:10.1016/j.cageo.2011.02.009>). This package supplies functions for two-dimensional spatial interpolation by constrained (Cressie, N. (1993) "Aggregation in geostatistical problems" <doi:10.1007/978-94-011-1739-5_3>), covariance-matching constrained (Aldworth, J. and Cressie, N. (2003) "Prediction of nonlinear spatial functionals" <doi:10.1016/S0378-3758(02)00321-X>) and universal (external drift) Kriging for points or blocks of any shape from data with a non-stationary mean function and an isotropic weakly stationary covariance function. The linear spatial interpolation methods, constrained and covariance-matching constrained Kriging, provide approximately unbiased prediction for non-linear target values under change of support. This package extends the range of tools for spatial predictions available in R and provides an alternative to conditional simulation for non-linear spatial prediction problems with local change of support. Software Depends: R (>= 2.9), sp(>= 0.9-60) Imports: graphics, grDevices, methods, parallel, sf(>= 1.0-14), spatialCovariance(>= 0.6-4), stats Suggests: gstat, spdep(>= 0.5-43) Andreas Papritz <papritz@retired.ethz.ch> Comprehensive R Archive Network (CRAN) Christoph Hofer [aut], Andreas Papritz [ctb, cre] GPL (>= 2) 2025-02-04 application/tgz https://CRAN.R-project.org/package=constrainedKriging doi:10.32614/CRAN.package.constrainedKriging