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Diffstat (limited to 'var')
| -rw-r--r-- | var/spack/repos/builtin/packages/r-fields/package.py | 30 |
1 files changed, 28 insertions, 2 deletions
diff --git a/var/spack/repos/builtin/packages/r-fields/package.py b/var/spack/repos/builtin/packages/r-fields/package.py index 18025121aa..44dd2fc8ba 100644 --- a/var/spack/repos/builtin/packages/r-fields/package.py +++ b/var/spack/repos/builtin/packages/r-fields/package.py @@ -7,14 +7,40 @@ from spack import * class RFields(RPackage): - """fields: Tools for Spatial Data""" + """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. 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.""" homepage = "https://github.com/NCAR/Fields" url = "https://cloud.r-project.org/src/contrib/fields_9.9.tar.gz" list_url = "https://cloud.r-project.org/src/contrib/Archive/fields" + version('11.6', sha256='8600d1d992c40668cc2ab01b3c17d0e1bd44a001ec7ba9f468bc0e9ef87c59db') version('9.9', sha256='262f03c630773b580c7162ab2a031c894ca489fd83989fd8a2f67573306e78e1') depends_on('r@3.0:', type=('build', 'run')) - depends_on('r-maps', type=('build', 'run')) depends_on('r-spam', type=('build', 'run')) + depends_on('r-maps', type=('build', 'run')) |