Constrained, Covariance-Matching Constrained and Universal Point or Block Kriging

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.


Reference manual

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0.2.4 by Christoph Hofer, 6 years ago

Browse source code at

Authors: Christoph Hofer

Documentation:   PDF Manual  

Task views: Analysis of Spatial Data

GPL (>= 2) license

Imports rgeos, RandomFields

Depends on sp, spatialCovariance, methods

Suggests spdep

Imported by georob.

See at CRAN