\HeaderA{meuse.grid}{Prediction Grid for Meuse Data Set}{meuse.grid}
\keyword{datasets}{meuse.grid}
\begin{Description}\relax
The \code{meuse.grid} data frame has 3103 rows and 2 columns;
a grid with 40 m x 40 m spacing that covers the Meuse Study area
\end{Description}
\begin{Usage}
\begin{verbatim}data(meuse.grid)\end{verbatim}
\end{Usage}
\begin{Format}\relax
This data frame contains the following columns:
\describe{
\item[x] a numeric vector; x-coordinate (see \LinkA{meuse}{meuse}) 
\item[y] a numeric vector; y-coordinate (see \LinkA{meuse}{meuse}) 
\item[dist] distance to the Meuse river; obtained by a spread
(spatial distance) GIS operation, from border of river; normalized to
$[0,1]$ 
\item[ffreq] flood frequency; the lower the value, the larger the flood frequency; the origin of this item is questionable
\item[part.a] arbitrary division of the area in two areas, a and b
\item[part.b] see \code{part.a}
\item[soil] soil type; it is questionable whether these data come from a real soil
map
}
\end{Format}
\begin{Details}\relax
\code{x} and \code{y} are in RDM, the Dutch topographical map
coordinate system. Roger Bivand projected this to UTM in the
R-Grass interface package.
\end{Details}
\begin{Source}\relax
\url{http://www.gstat.org/}
\end{Source}
\begin{References}\relax
See the \LinkA{meuse}{meuse} documentation
\end{References}
\begin{Examples}
\begin{ExampleCode}
data(meuse.grid)
coordinates(meuse.grid) = ~x+y
gridded(meuse.grid) = TRUE
spplot(meuse.grid)
\end{ExampleCode}
\end{Examples}

