A Numerical Implementation of Interval-Valued Kriging

An interval-valued extension of ordinary and simple kriging. Optimization of the function is based on a generalized interval distance. This creates a non-differentiable cost function that requires a differentiable approximation to the absolute value function. This differentiable approximation is optimized using a Newton-Raphson algorithm with a penalty function to impose the constraints. Analyses in the package are driven by the 'intsp' and 'intgrd' classes, which are interval-valued extensions of 'SpatialPointsDataFrame' and 'SpatialPixelsDataFrame' respectively. The package includes several wrappers to functions in the 'gstat' and 'sp' packages.


Reference manual

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1.0.1 by Brennan Bean, a year ago

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

Authors: Brennan Bean [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports Rcpp, Rdpack, methods, stats, utils

Depends on sp, gstat, raster

Suggests doParallel, foreach, lattice, latticeExtra, grid, gridExtra, testthat, knitr, rmarkdown

Linking to Rcpp, RcppArmadillo

See at CRAN