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.
|Date of publication||2015-04-30 23:59:28|
|Maintainer||Christoph Hofer <firstname.lastname@example.org>|
|License||GPL (>= 2)|
CKrige: Spatial interpolation (2D) by constrained,...
constrainedKriging-package: constrainedKriging a package for nonlinear spatial...
covmodel: Create isotropic covariance model
internal.functions: Internal functions
meuse.blocks: Meuse block
plot.preCKrigePolygons: Plotting polygon configurations and their approximated areas
preCKrige: Spatial Variance-Covariance Matrices for Points and Polygons...
preCKrigePoints-class: Class "preCKrigePoints"
preCKrigePolygons-class: Class "preCKrigePolygons" ~~~