Package: r-cran-fields
Version: 17.3-1
Architecture: amd64
Architecture-Variant: amd64v3
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Installed-Size: 5044
Depends: r-api-4.0, r-cran-spam, r-cran-viridislite, r-cran-rcolorbrewer, r-cran-maps, libc6 (>= 2.43), liblapack3 | liblapack.so.3
Recommends: r-cran-mapproj
Section: gnu-r
Priority: optional
Homepage: https://cran.r-project.org/package=fields
Description: Tools for Spatial Data
 For curve, surface and function fitting with an emphasis on splines,
 spatial data, geostatistics, and spatial statistics. The major methods
 include cubic, and thin plate splines, Kriging, and compactly supported
 covariance functions 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 function 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.
 All graphics functions focus on using base R graphics. 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 source code version 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>. Development of this package was supported
 in part by the National Science Foundation Grant 1417857, the National Center
 for Atmospheric Research, and Colorado School of Mines. See the Fields URL
 for a vignette on using this package and some background on spatial statistics.
