extRemes (version 2.0-9)

damage: Hurricane Damage Data

Description

Estimated economic damage (billions USD) caused by hurricanes.

Usage

data(damage)

Format

A data frame with 144 observations on the following 3 variables.

obs

a numeric vector that simply gives the line numbers.

Year

a numeric vector giving the years in which the specific hurricane occurred.

Dam

a numeric vector giving the total estimated economic damage in billions of U.S. dollars.

Details

More information on these data can be found in Pielke and Landsea (1998) or Katz (2002). Also see the tutorial at http://www.isse.ucar.edu/extremevalues/evtk.html for examples using extRemes.

References

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

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

Examples

# NOT RUN {
data(damage)
plot( damage[,1], damage[,3], xlab="", ylab="Economic Damage", type="l", lwd=2)

# Fig. 3 of Katz (2002).
plot( damage[,"Year"], log( damage[,"Dam"]), xlab="Year", ylab="ln(Damage)", ylim=c(-10,5))

# Fig. 4 of Katz (2002).
qqnorm( log( damage[,"Dam"]), ylim=c(-10,5))
# }