Package: LatticeKrig
Version: 2.4.3
Date: April 10, 2013
Title: Multiresolution Kriging based on Markov random fields
Author: Douglas Nychka, Dorit Hammerling and Stephen Sain
Maintainer: Douglas Nychka <nychka@ucar.edu>
Description: Functions for the interpolation of large spatial datasets.
This package follows a "fixed rank Kriging" approach using a
large number of basis functions and provides spatial estimates
that are comparable to standard families of covariance
functions.  Using a large number of basis functions allows for
estimates that can come close to interpolating the observations
(a spatial model with a small nugget variance.)  The covariance
model for this method can approximate the Matern covariance
family but also allows for a multi-resolution model and
supports efficient computation of the profile likelihood for
estimating covariance parameters. This is accomplished through
compactly supported basis functions and a Markov random field
model for the basis coefficients. These features lead to sparse
matrices for the computations. One benefit of this approach is
the facilty to do unconditional and conditional simulation of
the field for large numbers of arbitrary points. There is also
the flexibility for estimating nonstationary covariances.
Included are generic methods for prediction, standard errors
for prediction, plotting of the estimated surface and
conditional and unconditional simulation.
License: GPL (>= 2)
URL: http://www.r-project.org
Depends: R (>= 2.13), methods, spam, fields
Packaged: 2013-04-15 21:02:45 UTC; nychka
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-04-16 07:43:11

Package: LatticeKrig
Version: 3.1
Date: Jan 20, 2013
Title: Multiresolution Kriging based on Markov random fields
Authors@R: c(
person("Douglas", "Nychka", role = c("aut", "cre"),
email = "nychka@ucar.edu"),
person("Dorit", "Hammerling", role = c("aut"),
email = "hammerling@samsi.info"),
person("Stephan", "Sain", role = "aut",
email = "ssain@ucar.edu"),
person("Nathan", "Lenssen", role = "aut",
email = "lenssen@ucar.edu"))
Maintainer: Douglas Nychka <nychka@ucar.edu>
Description: Functions for the interpolation of large spatial
datasets. This package follows a "fixed rank Kriging" approach using
a large number of basis functions and provides spatial estimates
that are comparable to standard families of covariance functions.
Using a large number of basis functions allows for estimates that
can come close to interpolating the observations (a spatial model
with a small nugget variance.)  The covariance model for this method
can approximate the Matern covariance family but also allows for a
multi-resolution model and supports efficient computation of the
profile likelihood for estimating covariance parameters. This is
accomplished through compactly supported basis functions and a
Markov random field model for the basis coefficients. These features
lead to sparse matrices for the computations. One benefit of this
approach is the facilty to do unconditional and conditional
simulation of the field for large numbers of arbitrary points. There
is also the flexibility for estimating nonstationary covariances. Included are
generic methods for prediction, standard errors for prediction,
plotting of the estimated surface and conditional and unconditional
simulation.
License: GPL (>= 2)
URL: http://www.r-project.org
Depends: R (>= 3.0.1), spam, fields (>= 6.9.1)
Packaged: 2014-01-24 21:37:15 UTC; nychka
Author: Douglas Nychka [aut, cre],
Dorit Hammerling [aut],
Stephan Sain [aut],
Nathan Lenssen [aut]
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-01-24 23:58:20