Description
Fields is for curve, surface and function
fitting with an emphasis on splines, spatial data and spatial statistics. The
major methods include cubic, robust, and thin plate splines,
multivariate Kriging and Kriging for large data sets. One main feature is any
covariance function implemented in R can be used for spatial prediction.
There are also useful functions for plotting and working with
spatial data as images. This package also contains an implementation of a
sparse matrix methods for large data sets and currently requires the
sparse matrix (spam) package for testing (but not for the standard spatial
functions.) Use help(fields) to get started and for an overview.