The <code>ozone</code> data is a list of 
components, x and y.  x 
component is longitude and latitude position of each of the 20 
Chicago monitoring stations, y is the average 
daily ozone values over the time period 6/3/87-8/30/87.

datasets

ozone

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. 

ozone: Data set of ozone measurements at 20 Chicago monitoring stations.

Description

Arguments

source

See Also

Examples