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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("constrainedKriging")

0.2.4 by Christoph Hofer, 6 years ago


Browse source code at https://github.com/cran/constrainedKriging


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