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 zhaw.ch> |
| 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: constrainedKriging_0.2.3.zip, r-release: constrainedKriging_0.2.3.zip, r-oldrel: constrainedKriging_0.2.3.zip |
| OS X Snow Leopard binaries: | r-release: constrainedKriging_0.2.3.tgz, r-oldrel: constrainedKriging_0.2.3.tgz |
| OS X Mavericks binaries: | r-release: not available |
| Old sources: | constrainedKriging archive |
| Reverse imports: | georob |