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constrainedKriging (version 0.1.4)

Constrained, covariance-matching constrained and universal point or block kriging

Description

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.

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Version

Install

install.packages('constrainedKriging')

Monthly Downloads

214

Version

0.1.4

License

GPL (>= 2)

Maintainer

Christoph Hofer

Last Published

January 14th, 2011

Functions in constrainedKriging (0.1.4)

covmodel

Create isotropic covariance model
constrainedKriging-package

constrainedKriging a package for nonlinear spatial predictions with local change of support
CKrige

Spatial interpolation (2D) by constrained, covariance-matching constrained and universal, global Point or Block Kriging
preCKrige

Spatial Variance-Covariance Matrices for Points and Polygons of any Shape
preCKrigePoints-class

Class "preCKrigePoints"
internal.functions

Internal functions
preCKrigePolygons-class

Class "preCKrigePolygons" ~~~
plot.preCKrigePolygons

Plotting polygon configurations and their approximated areas
meuse.blocks

Meuse block