Rsum {extRemes}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 Ni~{n}a, 1 for El Ni~{n}o 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).

Source

http://sciencepolicy.colorado.edu/pielke/hp_roger/hurr_norm/data.html

References

Gilleland, Eric and Katz, Richard W. Tutorial for the 'Extremes Toolkit: Weather and Climate Applications of Extreme Value Statistics.' http://www.assessment.ucar.edu/toolkit, 2005.

Katz, Richard W., Stochastic modeling of hurricane damage. Journal of Applied Meteorology, 41:754–762, 2002.

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

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)

# See Gilleland et al. (2005) for more examples using these data with extRemes.

[Package extRemes version 1.59 Index]