Package: fields
Version: 6.3
Date: September 4, 2009
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,
multivariate Kriging and Kriging for large data sets. A major
feature is that any covariance function implemented in R 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 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.
License: GPL (>= 2)
URL: http://www.image.ucar.edu/Software/Fields
Depends: methods, spam
Packaged: 2010-07-06 17:01:48 UTC; nychka
Repository: CRAN
Date/Publication: 2010-07-06 19:17:12

Package: fields
Version: 6.6.1
Date: September 25, 2011
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 (>= 2.10), methods, spam
Packaged: 2011-09-26 21:19:00 UTC; nychka
Repository: CRAN
Date/Publication: 2011-09-27 03:32:01