damage               package:extRemes               R Documentation

_H_u_r_r_i_c_a_n_e _D_a_m_a_g_e _D_a_t_a

_D_e_s_c_r_i_p_t_i_o_n:

     Estimated economic damage (billions USD) caused by hurricanes.

_U_s_a_g_e:

     data(damage)

_F_o_r_m_a_t:

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

     _o_b_s a numeric vector that simply gives the line numbers.

     _Y_e_a_r a numeric vector giving the years in which the specific
          hurricane occurred.

     _D_a_m a numeric vector giving the total estimated economic damage in
          billions of U.S. dollars.

_D_e_t_a_i_l_s:

     More information on these data can be found in Pielke and Landsea
     (1998) or Katz (2002).  Also see Gilleland et al. (2005) for
     examples using 'extRemes'.

_S_o_u_r_c_e:

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

_R_e_f_e_r_e_n_c_e_s:

     Gilleland, Eric and Katz, Richard W. Tutorial for the 'Extremes
     Toolkit: Weather and Climate Applications of Extreme Value
     Statistics.' <URL: 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.

_E_x_a_m_p_l_e_s:

     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))

