Package: fields
Version: 6.7
Date: October 13, 2012
Title: Tools for spatial data
Author: Reinhard Furrer, Douglas Nychka and Stephen Sain
Maintainer: Doug 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, robust, and thin plate splines,
and Kriging 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.  A major
feature is that any covariance function implemented in R with
the fields interface can be used for spatial prediction. Some
tailored optimization functions are supplied for find the MLEs
for the Matern family of covariances.  There are also many
useful functions for plotting and working with spatial data as
images. This package also contains an implementation of a
sparse matrix methods for large data sets and currently
requires the sparse matrix (spam) package for testing (but not
for the standard spatial functions.) Use help(fields) to get
started and for an overview.  The fields source code is heavily
commented and should provide useful explanation of numerical
details in addition to the manual pages.
License: GPL (>= 2)
URL: http://www.image.ucar.edu/Software/Fields
Depends: R (>= 2.13), methods, spam
Packaged: 2012-10-16 17:40:42 UTC; nychka
Repository: CRAN
Date/Publication: 2012-10-16 18:52:38

Package: fields
Version: 6.8
Date: July 15, 2013
Title: Tools for spatial data
Author: Reinhard Furrer, Douglas Nychka and Stephen Sain
Maintainer: Doug 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.  A major feature is that
any covariance function implemented in R with the (simple) fields
format can be used for spatial prediction. Some tailored optimization
functions are supplied for finding the MLEs for the Matern family of
covariances.  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 data sets and
currently requires the sparse matrix (spam) package for testing and
use with large data sets.  But spam is not required for the standard
spatial functions. Use help(fields) to get started and for an
overview.  The fields source code is heavily commented and
provides useful explanations of numerical details in addition to the
manual pages.
License: GPL (>= 2)
URL: http://www.image.ucar.edu/Software/Fields
Depends: R (>= 2.13), methods, spam, maps
Packaged: 2013-07-19 14:30:38 UTC; nychka
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-07-19 23:45:29