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Revision 4fe059206e698a4b7135d792f3d533b173ecfe77 authored by Adrian Baddeley on 16 May 2012, 12:44:15 UTC, committed by cran-robot on 16 May 2012, 12:44:15 UTC
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Tip revision: 4fe059206e698a4b7135d792f3d533b173ecfe77 authored by Adrian Baddeley on 16 May 2012, 12:44:15 UTC
version 1.27-0
version 1.27-0
Tip revision: 4fe0592
redwoodfull.Rd
\name{redwoodfull}
\alias{redwoodfull}
\alias{redwoodfull.extra}
\docType{data}
\title{
California Redwoods Point Pattern (Entire Dataset)
}
\description{
These data represent the locations of 195 seedlings and saplings
of California redwood trees in a square sampling region.
They were described and analysed by Strauss (1975).
This is the ``\bold{full}'' dataset; most writers have
analysed a subset extracted by Ripley (1977)
which is available as \code{\link{redwood}}.
Strauss (1975) divided the sampling region into two subregions I and II
demarcated by a diagonal line across the region. The spatial pattern
appears to be slightly regular in region I and strongly clustered in
region II.
The dataset \code{redwoodfull} contains the full point pattern
of 195 trees.
The auxiliary information about the subregions is contained in
\code{redwoodfull.extra}, which is a list with entries
\tabular{ll}{
\code{diag}\tab The coordinates of the diagonal boundary\cr
\tab between regions I and II \cr
\code{regionI} \tab Region I as a window object \cr
\code{regionII} \tab Region II as a window object \cr
\code{regionR} \tab Ripley's subrectangle (approximate) \cr
\code{plot} \tab Function to plot the full data and auxiliary markings
}
Ripley (1977) extracted a subset of these data, containing 62 points,
lying within a square subregion which overlaps regions I and II.
He rescaled the data to the unit square.
This has been re-analysed many times, and is the dataset usually known as
``the redwood data'' in the spatial statistics literature.
The exact dataset used by Ripley is supplied in the \pkg{spatstat}
library as \code{\link{redwood}}.
There are some minor inconsistencies with
\code{redwood} since it originates from a different digitisation.
The approximate position of the square chosen by Ripley
within the \code{redwoodfull} pattern
is indicated by the window \code{redwoodfull.extra$regionR}.
}
\format{
The dataset \code{redwoodfull} is an object of class \code{"ppp"}
representing the point pattern of tree locations.
The window has been rescaled to the unit square.
See \code{\link{ppp.object}} for details of the format of a
point pattern object.
The dataset \code{redwoodfull.extra} is a list with entries
\tabular{ll}{
\code{diag}\tab coordinates of endpoints of a line,\cr
\tab in format \code{list(x=numeric(2),y=numeric(2))} \cr
\code{regionI} \tab a window object \cr
\code{regionII} \tab a window object \cr
\code{regionR} \tab a window object \cr
\code{plot} \tab Function with no arguments
}
}
\usage{data(redwoodfull)}
\examples{
data(redwoodfull)
plot(redwoodfull)
redwoodfull.extra$plot()
# extract the pattern in region II
redwoodII <- redwoodfull[, redwoodfull.extra$regionII]
}
\source{Strauss (1975). The plot of the data published by Strauss (1975)
was scanned and digitised by Sandra Pereira, University of
Western Australia, 2002.
}
\seealso{
\code{\link{redwood}}
}
\references{
Diggle, P.J. (1983)
\emph{Statistical analysis of spatial point patterns}.
Academic Press.
Ripley, B.D. (1977)
Modelling spatial patterns (with discussion).
\emph{Journal of the Royal Statistical Society, Series B}
\bold{39}, 172--212.
Strauss, D.J. (1975)
A model for clustering.
\emph{Biometrika} \bold{63}, 467--475.
}
\keyword{datasets}
\keyword{spatial}
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