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.
Package details |
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Author | Christoph Hofer |
Maintainer | Christoph Hofer <christoph.hofer@zhaw.ch> |
License | GPL (>= 2) |
Version | 0.2.4 |
Package repository | View on CRAN |
Installation |
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