% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{irish_wind.its}
\alias{irish_wind.its}
\title{Irish Wind Speed Monthly Interval Time Series}
\format{
A data frame with 216 observations and 11 columns (5 interval
variables in \code{_l}/\code{_u} Min-Max pairs, plus a date):
\itemize{
    \item \code{date}: First day of the month (Date class).
    \item \code{BIR_l}, \code{BIR_u}: Monthly [min, max] daily wind speed
    at Birr (knots).
    \item \code{DUB_l}, \code{DUB_u}: Monthly [min, max] daily wind speed
    at Dublin Airport (knots).
    \item \code{KIL_l}, \code{KIL_u}: Monthly [min, max] daily wind speed
    at Kilkenny (knots).
    \item \code{SHA_l}, \code{SHA_u}: Monthly [min, max] daily wind speed
    at Shannon Airport (knots).
    \item \code{VAL_l}, \code{VAL_u}: Monthly [min, max] daily wind speed
    at Valentia Observatory (knots).
}
}
\source{
Derived from the \code{wind} dataset in the \pkg{gstat} R
package (originally from Haslett and Raftery, 1989). Daily data
aggregated to monthly intervals.
}
\usage{
data(irish_wind.its)
}
\description{
Monthly interval-valued wind speed data at 5 meteorological stations in
Ireland from January 1961 to December 1978 (216 months). For each month
and station, the interval is defined as [minimum daily average wind speed,
maximum daily average wind speed] across all days in that month.
}
\details{
The original data contains daily average wind speeds (in knots) at 12
synoptic meteorological stations in the Republic of Ireland, collected by
the Irish Meteorological Service. This is the classic Haslett and Raftery
(1989) dataset, one of the most widely used benchmarks in spatial
statistics. Following the approach of Teles and Brito (2015), the raw
daily data is aggregated to monthly intervals for 5 selected stations:
Birr (BIR), Dublin Airport (DUB), Kilkenny (KIL), Shannon Airport (SHA),
and Valentia Observatory (VAL). Each monthly interval captures the range
of daily wind variability within that month.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 216 \cr
  \strong{Variables (p)} \tab 11 \cr
  \strong{Subject area} \tab Meteorology \cr
  \strong{Symbolic format} \tab Interval time series (multivariate) \cr
  \strong{Analytical tasks} \tab Space-time modelling, Forecasting,
  Clustering
}
}

\examples{
data(irish_wind.its)
head(irish_wind.its)
# Plot Valentia Observatory wind speed interval
plot(irish_wind.its$date, irish_wind.its$VAL_u, type = "l", col = "red",
     ylab = "Wind speed (knots)", xlab = "Date",
     main = "Valentia Observatory Monthly Wind Speed Interval")
lines(irish_wind.its$date, irish_wind.its$VAL_l, col = "blue")
legend("topright", c("Max", "Min"), col = c("red", "blue"), lty = 1)
}
\references{
Haslett, J. and Raftery, A. E. (1989). Space-time modelling with
long-memory dependence: Assessing Ireland's wind power resource.
\emph{Journal of the Royal Statistical Society, Series C (Applied
Statistics)}, \strong{38}(1), 1--50.

Teles, P. and Brito, P. (2015). Modeling interval time series with
space-time processes. \emph{Communications in Statistics -- Theory and
Methods}, \strong{44}(17), 3599--3619.
}
\keyword{datasets}
\keyword{interval}
\keyword{meteorology}
\keyword{spatial}
\keyword{timeseries}
