https://github.com/cran/fields
Tip revision: d689bdeff1cf246a7fe1db8ffe98dd2d091d5015 authored by Douglas Nychka on 25 June 2021, 11:40:05 UTC
version 12.5
version 12.5
Tip revision: d689bde
DESCRIPTION
Package: fields
Version: 15.2
Date: 2023-08-17
Title: Tools for Spatial Data
Authors@R: c( person("Douglas", "Nychka", role = c("aut", "cre"),
email = "douglasnychka@gmail.com"),
person("Reinhard", "Furrer", role = c("aut"),
email = "reinhard.furrer@math.uzh.ch"),
person("John", "Paige", role = c("aut"),
email = "paigejo@uw.edu"),
person("Stephan", "Sain", role = "aut",
email = "sainsr2@gmail.com"),
person("Florian", "Gerber", role = "aut",
email = "flora.fauna.gerber@gmail.com"),
person("Matthew", "Iverson", role = "aut",
email = "miverson@mymail.mines.edu"),
person("University Corporation for Atmospheric Research",
role="cph", email="nychka@ucar.edu")
)
Maintainer: Douglas Nychka <douglasnychka@gmail.com>
Description: 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. 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.
License: GPL (>= 2)
URL: https://github.com/dnychka/fieldsRPackage
Depends: R (>= 3.5.0), methods, spam, viridisLite
Imports: maps
NeedsCompilation: yes
Repository: CRAN
Packaged: 2023-08-17 14:57:28 UTC; nychka
Author: Douglas Nychka [aut, cre],
Reinhard Furrer [aut],
John Paige [aut],
Stephan Sain [aut],
Florian Gerber [aut],
Matthew Iverson [aut],
University Corporation for Atmospheric Research [cph]
Date/Publication: 2023-08-17 21:02:31 UTC