% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/adult_trees.r
\docType{data}
\name{adult_trees}
\alias{adult_trees}
\title{Adult trees data set}
\format{
A \code{data.frame} containing the locations (x- and y-coordinates) of 67 trees
in an area of 75 m x 75 m.
}
\usage{
data("adult_trees")
}
\description{
Adult trees data set
}
\details{
A pattern of large trees (height > 25 m) originating from an uneven aged multi-species
broadleaf nonmanaged forest in Kaluzhskie Zaseki, Russia.

The pattern is a sample part of data collected over 10 ha plot as a part of a research
program headed by project leader Prof. O.V. Smirnova.
}
\examples{
if(require("spatstat.core", quietly=TRUE)) {
  data("adult_trees")
  adult_trees <- as.ppp(adult_trees, W = square(75))
  plot(adult_trees)
}

}
\references{
Grabarnik, P. and Chiu, S. N. (2002) Goodness-of-fit test for complete spatial randomness against
mixtures of regular and clustered spatial point processes. Biometrika, 89, 411–421.

van Lieshout, M.-C. (2010) Spatial point process theory. In Handbook of Spatial Statistics (eds. A. E.
Gelfand, P. J. Diggle, M. Fuentes and P. Guttorp), Handbooks of Modern Statistical Methods. Boca
Raton: CRC Press.
}
\seealso{
\code{\link{saplings}}
}
\keyword{datasets}
\keyword{spatial}
