This pages gives some supplements to the installed R package.
To browse the help files: index
To browse source code with the comments retained: fields source directory
For the most recent version of fields please use the R studio CRAN mirror to download and install fields. Use citation("fields") in R to generate a citation with the current version number and this doi.
Package: fields Version: 8.4-1 Date: 2016-05-03 Title: Tools for Spatial Data Authors@R: c( person("Douglas", "Nychka", role = c("aut", "cre"), email = "email@example.com"), person("Reinhard", "Furrer", role = c("aut"), email = "firstname.lastname@example.org"), person("John", "Paige", role = c("aut"), email = "email@example.com"), person("Stephan", "Sain", role = "aut", email = "firstname.lastname@example.org")) Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Step han Sain [aut] Maintainer: Douglas Nychka <email@example.com> 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). 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 file (ending in tar.gz) and looking in the R subdirectory. Please cite fields along with its DOI in your publications! License: GPL (>= 2) URL: http://www.image.ucar.edu/fields Depends: R (>= 3.0), methods, spam, maps NeedsCompilation: yes Packaged: 2016-05-03 21:42:53 UTC; nychka
The National Center for Atmospheric Research is sponsored by the National Science Foundation. Any opinions, findings and conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.