constrainedKriging: Constrained, Covariance-Matching Constrained and Universal Point or Block Kriging
Version 0.2.4

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

AuthorChristoph Hofer
Date of publication2015-04-30 23:59:28
MaintainerChristoph Hofer <[email protected]>
LicenseGPL (>= 2)
Version0.2.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("constrainedKriging")

Try the constrainedKriging package in your browser

Any scripts or data that you put into this service are public.

constrainedKriging documentation built on May 29, 2017, 5:53 p.m.