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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data-storms.R
\docType{data}
\name{storms}
\alias{storms}
\title{Storm tracks data}
\format{
A tibble with 19,537 observations
and 13 variables:
\describe{
\item{name}{Storm Name}
\item{year,month,day}{Date of report}
\item{hour}{Hour of report (in UTC)}
\item{lat,long}{Location of storm center}
\item{status}{Storm classification (Tropical Depression, Tropical Storm,
or Hurricane)}
\item{category}{Saffir-Simpson hurricane category calculated from wind speed.
\itemize{
\item \code{NA}: Not a hurricane
\item 1: 64+ knots
\item 2: 83+ knots
\item 3: 96+ knots
\item 4: 113+ knots
\item 5: 137+ knots
}
}
\item{wind}{storm's maximum sustained wind speed (in knots)}
\item{pressure}{Air pressure at the storm's center (in millibars)}
\item{tropicalstorm_force_diameter}{Diameter (in nautical miles) of the
area experiencing tropical storm strength winds (34 knots or above).
Only available starting in 2004.}
\item{hurricane_force_diameter}{Diameter (in nautical miles) of the area
experiencing hurricane strength winds (64 knots or above). Only available
starting in 2004.}
}
}
\usage{
storms
}
\description{
This dataset is the NOAA Atlantic hurricane database best track data,
\url{https://www.nhc.noaa.gov/data/#hurdat}. The data includes the positions and
attributes of storms from 1975-2022. Storms
from 1979 onward are measured every six hours during the lifetime of the
storm. Storms in earlier years have some missing data.
}
\examples{
storms
# Show a few recent storm paths
if (requireNamespace("ggplot2", quietly = TRUE)) {
library(ggplot2)
storms \%>\%
filter(year >= 2000) \%>\%
ggplot(aes(long, lat, color = paste(year, name))) +
geom_path(show.legend = FALSE) +
facet_wrap(~year)
}
storms
}
\seealso{
The script to create the storms data set:
\url{https://github.com/tidyverse/dplyr/blob/main/data-raw/storms.R}
}
\keyword{datasets}
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