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. A major
feature is that any covariance function implemented in R 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 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.