Package

r-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. 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.

Note