https://github.com/cran/fields
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Tip revision: 370c1161f275c7f191e9326102bfd61cae62d545 authored by Douglas Nychka on 11 May 2017, 17:23:03 UTC
version 8.15
Tip revision: 370c116
DESCRIPTION
Package: fields
Version: 8.15
Date: 2017-5-9
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("John", "Paige", role = c("aut"),
               email = "paigejo@uw.edu"),
            person("Stephan", "Sain", role = "aut",
               email = "sainsr2@gmail.com")) 
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut]
Maintainer: Douglas Nychka <nychka@ucar.edu>
Description: 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
 supported by functions that can determine the smoothing parameter
 (nugget and sill variance) and other covariance parameters by cross
 validation and also by restricted maximum likelihood. For Kriging
 there is an easy to use function that also estimates the correlation
 scale (range parameter).  A major feature is that any covariance function
 implemented in R and following a simple 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 as a companion to the manual pages. The commented
 source code can be viewed by expanding the package source code "tarball"
 (ending in tar.gz)
 and looking in the R subdirectory. The reference for fields can be generated
 by the citation function in R and has DOI <doi:10.5065/D6W957CT>. 
License: GPL (>= 2)
URL: http://www.image.ucar.edu/fields
Depends: R (>= 3.0), methods, spam, maps
NeedsCompilation: yes
Packaged: 2017-05-10 15:01:23 UTC; nychka
Repository: CRAN
Date/Publication: 2017-05-11 18:23:03 UTC
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