Rsum: Hurricane Frequency Dataset.
In extRemes: Extreme Value Analysis

Rsum	R Documentation

Hurricane Frequency Dataset.

Description

This dataset gives the number of hurricanes per year (from 1925 to 1995) as well as the ENSO state and total monetary damage.

Usage

data(Rsum)

Format

A data frame with 71 observations on the following 4 variables.

Year: a numeric vector giving the year.
EN: a numeric vector giving the ENSO state (-1 for La Ninha, 1 for El Ninho and 0 otherwise).
Ct: a numeric vector giving the number of hurricanes for the corresponding year.
TDam: a numeric vector giving the total monetary damage (millions of U.S. dollars).

Details

More information on these data can be found in Pielke and Landsea (1998) or Katz (2002).

References

Katz, R. W. (2002) Stochastic modeling of hurricane damage. Journal of Applied Meteorology, 41, 754–762.

Pielke, R. A. and Landsea, C. W. (1998) Normalized hurricane damages in the United States: 1925-95. Weather and Forecasting, 13, (3), 621–631.

Examples


data(Rsum)
str(Rsum)
plot(Rsum)

# Reproduce Fig. 1 of Katz (2002).
plot(	Rsum[,"Year"], Rsum[,"TDam"]/1000, type="h", xlab="Year",
	ylab="Total damage (billion U.S. dollars)",
	ylim=c(0,80), lwd=2)

# Reproduce Fig. 2 of Katz (2002).
plot(Rsum[,"Year"],Rsum[,"Ct"],type="h", xlab="Year",
    ylab="Number of Hurricanes", ylim=c(0,5), lwd=2)

extRemes documentation built on Nov. 19, 2022, 1:07 a.m.