Package: fields
Version: 2.0
Date: November 12 2004
Title: Tools for spatial data
Author: Doug Nychka
Maintainer: Doug Nychka <nychka@ucar.edu>
Description: Fields is a collection of programs for curve and function
fitting with an emphasis on spatial data and spatial statistics. The
major methods implemented include cubic, robust, and thin plate splines,
universal Kriging and Kriging for large data sets. One main feature is any
covariance function implemented in R can be used for spatial prediction.
There are also some useful functions for plotting and working with
spatial data as images. This package also contains implementation of a
smooth wavelet basis suitable for spatial models.
License: GPL Version 2 or later.
URL: http://www.cgd.ucar.edu/stats/Software/Fields
Packaged: Tue May 17 15:39:08 2005; nychka

Package: fields
Version: 2.3
Date: February 7 2005
Title: Tools for spatial data
Author: Doug Nychka
Maintainer: Doug Nychka <nychka@ucar.edu>
Description: Fields is a collection of programs for curve and function
fitting with an emphasis on splines, spatial data and spatial statistics. The
major methods implemented include cubic, robust, and thin plate splines,
universal Kriging and Kriging for large data sets. One main feature is any
covariance function implemented in R can be used for spatial prediction.
There are also some useful functions for plotting and working with
spatial data as images. This package also contains an implementation of a
smooth wavelet basis suitable for spatial models. Use help(fields) to
get started and an overview.
License: GPL Version 2 or later.
URL: http://www.image.ucar.edu/GSP/Software/Fields
Packaged: Thu Feb  9 07:55:37 2006; hornik

Package: fields
Version: 3.04
Date: July 25 2005
Title: Tools for spatial data
Author: Doug Nychka
Maintainer: Doug Nychka <nychka@ucar.edu>
Description: Fields is a collection of programs for curve and function
fitting with an emphasis on splines, spatial data and spatial statistics. The
major methods implemented include cubic, robust, and thin plate splines,
universal Kriging and Kriging for large data sets. One main feature is any
covariance function implemented in R can be used for spatial prediction.
There are also some useful functions for plotting and working with
spatial data as images. This package also contains an implementation of a
smooth wavelet basis suitable for spatial models. Use help(fields) to
get started and an overview.
License: GPL Version 2 or later.
URL: http://www.image.ucar.edu/GSP/Software/Fields
Packaged: Wed Aug 23 21:46:17 2006; hornik