respoi: The Residual Point Process of the ETAS Model

Description Usage Arguments Details Value References Examples

View source: R/SAPP.R

Description

Compute the residual of modified Omori Poisson process and display the cumulative curve and magnitude v.s. transformed time.

Usage

1
2
3
respoi(time,mag,param,zts,tstart,zte,threshold=0.0,plot=TRUE)

respoi2(etas,param,zts,tstart,zte,threshold=0.0,plot=TRUE)

Arguments

time

the time measured from the main shock(t=0).

mag

magnitude.

etas

a etas-format dataset on 9 variables

(no., longitude, latitude, magnitude, time, depth, year, month and days).

param

the four parameters B, K, c and p.

zts

the start of the precursory period.

tstart

the start of the target period.

zte

the end of the target period.

threshold

threshold magnitude.

plot

logical. If TRUE (default) cumulative curve and magnitude v.s. transformed time F(t_i) are plotted.

Details

The function respoi and respoi2 compute the following output for displaying the goodness-of-fit of Omori-Utsu model to the data. The cumulative number of earthquakes at time t since t_0 is given by the integration of f(t) with respect to the time t,

F(t) = B(t-t_0) + K{ c^{(1-p)}-(t-t_i+c)^{(1-p)} }/(p-1)

where the summation of i is taken for all data event.

respoi2 is equivalent to respoi except that input and output forms are different. When a etas-format dataset is given, respoi2 returns the dataset with the format as described below.

Value

trans.time

transformed time F(t_i), i=1,2,...,N.

cnum

cumulative number of events.

resData

a res-format dataset on 7 variables

(no., longitude, latitude, magnitude, time, depth and trans.time)

References

Ogata, Y. (2006) Computer Science Monographs, No.33, Statistical Analysis of Seismicity - updated version (SASeies2006). The Institute of Statistical Mathematics.

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
data(main2003JUL26)  # The aftershock data of 26th July 2003 earthquake of M6.2 

# output transformed times and cumulative numbers
x <- main2003JUL26
respoi(x$time, x$magnitude, c(0,0.96021E+02,0.58563E-01,0.96611E+00),
       0.0, 0.01, 18.68, 2.5)

# output a res-format dataset
respoi2(main2003JUL26, c(0,0.96021E+02,0.58563E-01,0.96611E+00),
        0.0, 0.01, 18.68, 2.5)

SAPP documentation built on May 30, 2017, 2:32 a.m.