https://github.com/cran/fields
Tip revision: fd0fd2f186c7b6b0721880f6a0061ec076e1be79 authored by Douglas Nychka on 28 February 2015, 06:50:20 UTC
version 8.2-1
version 8.2-1
Tip revision: fd0fd2f
DESCRIPTION
Package: fields
Version: 8.2-1
Date: February 27, 2015
Title: Tools for Spatial Data
Authors@R: c( person("Douglas", "Nychka", role = c("aut", "cre"),
email = "nychka@ucar.edu"),
person("Reinhard", "Furrer", role = c("aut"),
email = "reinhard.furrer@math.uzh.ch"),
person("Stephan", "Sain", role = "aut",
email = "ssain@ucar.edu"))
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], Stephan Sain [aut]
Maintainer: Douglas Nychka <nychka@ucar.edu>
Description: Fields is for curve, surface and function
fitting with an emphasis on splines, spatial data and spatial
statistics. The major methods include cubic, and thin plate splines,
Kriging and compact covariances for large data sets. The splines and
Kriging methods are supporting by functions that can determine the
smoothing parameter (nugget and sill variance) by cross validation
and also by restricted maximum likelihood. For Kriging there is
an easy to function that also estimates the correlation scale (range).
A major feature is that
any covariance function implemented in R and following a simple fields
format can be used for spatial prediction. There are also many useful
functions for plotting and
working with spatial data as images. This package also contains an
implementation of sparse matrix methods for large spatial data sets and
currently requires the sparse matrix (spam) package.
Use help(fields) to get started and for an
overview. The fields source code is deliberately commented and
provides useful explanations of numerical details in addition to the
manual pages. The commented source code can be viewed by expanding the
source code .tar.gz file and looking in R subdirectory.
License: GPL (>= 2)
URL: http://www.image.ucar.edu/Software/Fields
Depends: R (>= 3.0), methods, spam, maps
Packaged: 2015-02-27 21:14:42 UTC; nychka
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-02-28 06:50:20