| etasim | R Documentation |
Produce simulated dataset for given sets of parameters in the point process model used in ETAS.
etasim1(bvalue, nd, threshold = 0.0, reference = 0.0, param)
etasim2(etas, tstart, threshold = 0.0, reference = 0.0, param)
bvalue |
|
nd |
the number of the simulated events if |
etas |
a etas-format dataset on 9 variables (no., longitude, latitude, magnitude, time, depth, year, month and days). |
tstart |
the end of precursory period if |
threshold |
threshold magnitude. |
reference |
reference magnitude. |
param |
five parameters |
There are two versions; either simulating magnitude by Gutenberg-Richter's Law etasim1
or using magnitudes from etas dataset etasim2.
For etasim1, b-value of G-R law and number of events to be simulated are provided.
stasim2 simulates the same number of events that are not less than threshold magnitude in the dataset etas,
and simulation starts after a precursory period depending on the same history of events in etas in the period.
etasim1 and etasim2 generate a etas-format dataset given values of 'no.', 'magnitude' and 'time'.
Ogata, Y. (2006) Computer Science Monographs, No.33, Statistical Analysis of Seismicity - updated version (SASeies2006). The Institute of Statistical Mathematics.
## by Gutenberg-Richter's Law
etasim1(bvalue = 1.0, nd = 999, threshold = 3.5, reference = 3.5,
param = c(0.2e-02, 0.4e-02, 0.3e-02, 0.24e+01, 0.13e+01))
## from a etas-format dataset
data(main2003JUL26) # The aftershock data of 26th July 2003 earthquake of M6.2
etasim2(main2003JUL26, tstart = 0.01, threshold = 2.5, reference = 6.2,
param = c(0, 0.63348e+02, 0.38209e-01, 0.26423e+01, 0.10169e+01))
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