% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{cover_types.hist}
\alias{cover_types.hist}
\title{Forest Cover Types Histogram-Valued Dataset}
\format{
A data frame with 7 observations (cover types) and 4
histogram-valued variables:
\itemize{
    \item \code{elevation}: Histogram of elevation values (meters).
    \item \code{distance_to_water}: Histogram of horizontal distance
          to nearest water source (meters).
    \item \code{hillshade}: Histogram of hillshade index values.
    \item \code{slope}: Histogram of slope values (degrees).
}
Row names are CoverType_1 through CoverType_7.
}
\source{
Billard, L. and Diday, E. (2020), Table 7-21.
}
\usage{
data(cover_types.hist)
}
\description{
Histogram-valued dataset of 7 forest cover types with 4 topographic
histogram variables. Each histogram describes the distribution of a
terrain feature across locations classified as that cover type.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 7 \cr
  \strong{Variables (p)} \tab 4 \cr
  \strong{Subject area} \tab Forestry \cr
  \strong{Symbolic format} \tab Histogram \cr
  \strong{Analytical tasks} \tab Clustering, Classification
}
}

\examples{
data(cover_types.hist)
}
\references{
Billard, L. and Diday, E. (2020). \emph{Clustering Methodology for
Symbolic Data}. Wiley, Chichester. Table 7-21.
}
\keyword{datasets}
\keyword{forestry}
\keyword{histogram}
