Plots quickly, medium resolution outlines of large land masses. This is a simple 
wrapper for the map function from the maps package.

hplot

world

Fields is for curve, surface and function fitting with an
        emphasis on splines, spatial data and spatial statistics. The
        major methods include cubic, and thin plate splines, Kriging
        and compact covariances for large data sets. The splines and
        Kriging methods are supporting by functions that can determine
        the smoothing parameter (nugget and sill variance) by cross
        validation and also by restricted maximum likelihood.  A major
        feature is that any covariance function implemented in R with
        the (simple) fields format can be used for spatial prediction.
        Some tailored optimization functions are supplied for finding
        the MLEs for the Matern family of covariances.  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 data sets and currently
        requires the sparse matrix (spam) package for testing and use
        with large data sets.  But spam is not required for the
        standard spatial functions. Use help(fields) to get started and
        for an overview.  The fields source code is heavily commented
        and provides useful explanations of numerical details in
        addition to the manual pages.

world: Plot of the world

Description

Usage

Arguments

Details

See Also

Examples