irish_wind.its: Irish Wind Speed Monthly Interval Time Series

In dataSDA: Datasets and Basic Statistics for Symbolic Data Analysis

Irish Wind Speed Monthly Interval Time Series

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.

Usage

data(irish_wind.its)

Format

A data frame with 216 observations and 11 columns (5 interval variables in _l/_u Min-Max pairs, plus a date):

• date: First day of the month (Date class).

• BIR_l, BIR_u: Monthly [min, max] daily wind speed at Birr (knots).

• DUB_l, DUB_u: Monthly [min, max] daily wind speed at Dublin Airport (knots).

• KIL_l, KIL_u: Monthly [min, max] daily wind speed at Kilkenny (knots).

• SHA_l, SHA_u: Monthly [min, max] daily wind speed at Shannon Airport (knots).

• VAL_l, VAL_u: Monthly [min, max] daily wind speed at Valentia Observatory (knots).

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.

Metadata

Sample size (n)	216
Variables (p)	11
Subject area	Meteorology
Symbolic format	Interval time series (multivariate)
Analytical tasks	Space-time modelling, Forecasting, Clustering

Source

Derived from the wind dataset in the gstat R package (originally from Haslett and Raftery, 1989). Daily data aggregated to monthly intervals.

References

Haslett, J. and Raftery, A. E. (1989). Space-time modelling with long-memory dependence: Assessing Ireland's wind power resource. Journal of the Royal Statistical Society, Series C (Applied Statistics), 38(1), 1–50.

Teles, P. and Brito, P. (2015). Modeling interval time series with space-time processes. Communications in Statistics – Theory and Methods, 44(17), 3599–3619.

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)

dataSDA documentation built on June 12, 2026, 9:06 a.m.