FRK: Fixed Rank Kriging

Fixed Rank Kriging is a tool for spatial/spatio-temporal modelling and prediction with large datasets. The approach, discussed in Cressie and Johannesson (2008) <doi:10.1111/j.1467-9868.2007.00633.x>, decomposes the field, and hence the covariance function, using a fixed set of n basis functions, where n is typically much smaller than the number of data points (or polygons) m. The method naturally allows for non-stationary, anisotropic covariance functions and the use of observations with varying support (with known error variance). The projected field is a key building block of the Spatial Random Effects (SRE) model, on which this package is based. The package FRK provides helper functions to model, fit, and predict using an SRE with relative ease.

Version: 0.1.4
Depends: R (≥ 3.1)
Imports: digest, dplyr, ggplot2, grDevices, Hmisc, Matrix, methods, plyr, Rcpp, sp, spacetime, stats, utils
LinkingTo: Rcpp
Suggests: covr, gstat, INLA, knitr, mapproj, parallel, rgeos, spdep, splancs, testthat, verification
Enhances: dggrids
Published: 2017-06-14
Author: Andrew Zammit-Mangion [aut, cre], Timothy Davis [ctb], Patrick Amestoy [ctb], Iain Duff [ctb], John K. Reid [ctb]
Maintainer: Andrew Zammit-Mangion <andrewzm at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Spatial
CRAN checks: FRK results


Reference manual: FRK.pdf
Vignettes: Spatial and spatio-temporal kriging with FRK
Package source: FRK_0.1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: FRK_0.1.4.tgz
OS X Mavericks binaries: r-oldrel: FRK_0.1.4.tgz
Old sources: FRK archive


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