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rbTectoFigs.py
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rbTectoFigs.py
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import myhazmaps as mhp
import hazmap as hmp
import BASScast as bcp
import eqcatalog as eqp
import ANSStools as atp
import matplotlib.pyplot as plt
import matplotlib.dates as mpd
import mpl_toolkits.basemap as bmp
import scipy
import operator
import math
import glob
import os
import datetime as dtm
import pytz
import numpy
from geographiclib.geodesic import Geodesic as ggp
plt.ion()
nContours=[-.9, -.8, -.7, -.6, -.5, -.4, -.3, -.2, -.1, 0.0, .1, .2, .3, .4, .5, .6, .7]
nContours1=[-.8, -.7, -.6, -.5, -.4, -.3, -.2, -.1, 0.0, .1, .2, .3, .4, .5]
def socalRegionalQuad(targmag=7.2, mc=2.5, rfactor=.5, fnum=0, refreshcat=True):
N0 = getNofm(targmag, mc)
emcEvent = [dtm.datetime(2010, 4, 4, 22, 40, 42, 360004, tzinfo=mhp.pytz.timezone('UTC')), 32.2862, -115.2953, 7.2, 10.0]
emcFS = [dtm.datetime(2009, 12, 30, 18, 48, 57, 330004, tzinfo=mhp.pytz.timezone('UTC')), 32.464, -115.1892, 5.8, 6.0] #"foreshock"?
a=mhp.elmayorhm(mc=mc, todt=mhp.dtm.datetime.now(mhp.pytz.timezone('UTC')), ndithers=5, nContours=nContours1, bigmag=9.0, refreshcat=refreshcat, dt0=mhp.dtm.datetime(1990,1,1, tzinfo=mhp.pytz.timezone('UTC')))
c1=a.getcat()
while len(c1.subcats)>0:c1.subcats.pop()
#
# now, plot all the big earthquakes, little earthquakes, etc.
c1=a.getcat()
c1.rbomoriQuadPlot(mc=mc, targmag=targmag, bigmag=8.0, catnum=len(c1.subcats), fignum=fnum, plotevents=False, intlist=[int(N0*.5), int(N0*.666), N0, int(N0*1.5)], thislw=2.25)
f=plt.figure(fnum)
thisAxes = f.get_axes()
#biggies = []
for ev in c1.getcat(0):
if ev[0]<dtm.datetime(1990,1,1, tzinfo=mhp.pytz.timezone('UTC')) or ev[3]<7.0: continue
#biggies+=[ev]
X,Y = c1.catmap(ev[2], ev[1])
ax = thisAxes[3]
ax.plot([X], [Y], '*', ms=15, alpha=.8, zorder=11, label='m=%.2f, %s' % (ev[3], shortdate(ev[0])))
#
ax = thisAxes[0]
ax.plot([ev[0]], [ev[3]], '*', ms=15, label='m=%.2f, %s' % (ev[3], shortdate(ev[0])))
#
ax = thisAxes[1]
ax.plot([ev[0], ev[0]], [0., 1.8], 'c-', lw=2.5, ms=15)
ax = thisAxes[2]
ax.plot([ev[0], ev[0]], [1./9., 9.], 'c-', lw=2.5, ms=15)
#
f=plt.figure(fnum)
thisAxes = f.get_axes()
cat_transposed = zip(*c1.getcat())
Xev, Yev = c1.catmap(cat_transposed[2], cat_transposed[1])
ax = thisAxes[3]
ax.plot(Xev, Yev, 'b.', ms=3, alpha=.65, zorder=10)
#
for myaxes in [0,2,3]:
ax=thisAxes[myaxes]
ax.legend(loc=0, numpoints=1)
def shortdate(dtm):
rstring = '%d-%d-%d' % (dtm.month, dtm.day, dtm.year)
return rstring
def napa2014(m=6.0, mc=2.5):
lat0 = 38.22
lon0 = -122.313
c1=atp.catfromANSS(lat=[lat0-.5, lat0+.5],lon=[lon0-.5, lon0+.5], minMag=2.5, dates0=[atp.dtm.datetime(1990,1,1, tzinfo=atp.pytz.timezone('UTC')), atp.dtm.datetime.now(atp.pytz.timezone('UTC'))])
cat_full = eqp.eqcatalog(c1)
cat_circ = eqp.eqcatalog(circularcat(incat=c1, latlon=[lat0, lon0], Rkm=10.0**(m/2.0 - 1.76)))
#
cat_full.mapres='f'
#
cat_full.rbomoriQuadPlot(mc=mc, targmag=m, plotevents=True, fignum=2, thislw=2)
cat_circ.rbomoriQuadPlot(mc=mc, targmag=m, plotevents=True, fignum=3)
#
f=plt.figure(2)
axx = f.axes
axx[2].plot([dtm.datetime(2014,8,24, tzinfo=pytz.timezone('UTC')), dtm.datetime(2014,8,24, tzinfo=pytz.timezone('UTC'))], [.1, 10.], 'g-', lw=2, zorder=7)
axx[2].plot(dtm.datetime(2014,8,24, tzinfo=pytz.timezone('UTC')), 1, 'g*', ms=18, zorder=7)
plt.draw()
#
return cat_full
def EMCTriple(targmag=7.2, mc=2.5, rfactor=.5, fignum=0, lats=[31.5, 33.0], lons=[-116.15, -114.5]):
# a triple-plot + catalog
#lats=[31.5, 33.5]
#lons=[-116.65, -114.5]
plt.figure(fignum)
plt.clf()
#ax0=plt.axes([.1,.1,.85, .35])
# define axis (subplots) boundaries:
ydelim=.03
xdelim=.05
xTS=[0.05, .5]
yTS0=0.05
dyTS=.3
#
# map variables:
lat_sep=.25
lon_sep=.25
#
rb_len = winlen(targmag, mc, mt=7.6, doInt=False)
rb_len=int(round(rb_len,-1))
if rb_len<1: rb_len=1
#
rbavelen=int(rb_len/10.)
if rbavelen==0: rbavelen=1
#
# some earthquake trivia (mainshock and large aftershocks):
# get a catalog:
catlist=atp.catfromANSS(dates0=[dtm.datetime(1990, 1, 1, 0, 0, 0, 0, tzinfo=mhp.pytz.timezone('UTC')), dtm.datetime.now(mhp.pytz.timezone('UTC'))], minMag=mc, lat=lats, lon=lons)
quakes=[]
quakes+=[[dtm.datetime(2010, 4, 4, 22, 40, 42, 360004, tzinfo=pytz.timezone('UTC')), 32.2862, -115.2953, 7.2, 10.0]]
quakes+=[[dtm.datetime(2010, 4, 4, 22, 43, 0, 429995, tzinfo=pytz.timezone('UTC')), 32.4533, -115.632, 5.26, 10.0]]
quakes+=[[dtm.datetime(2010, 4, 4, 22, 50, 17, 120002, tzinfo=pytz.timezone('UTC')), 32.0987, -115.0482, 5.7, 10.0]]
quakes+=[[dtm.datetime(2010, 4, 4, 23, 15, 14, 239995, tzinfo=pytz.timezone('UTC')), 32.3, -115.2595, 5.43, 10.0]]
quakes+=[[dtm.datetime(2010, 4, 4, 23, 25, 7, 189997, tzinfo=pytz.timezone('UTC')), 32.2662, -115.2925, 5.38, 10.0]]
quakes+=[[dtm.datetime(2010, 4, 8, 16, 44, 25, 100004, tzinfo=pytz.timezone('UTC')), 32.1647, -115.2683, 5.29, 10.0]]
quakes+=[[dtm.datetime(2010, 6, 15, 4, 26, 58, 480000, tzinfo=pytz.timezone('UTC')), 32.7002, -115.9213, 5.72, 5.41]]
quakes+=[[dtm.datetime(2011, 2, 18, 17, 47, 35, 769999, tzinfo=pytz.timezone('UTC')), 32.047, -115.0622, 5.07, 15.0]]
mainshock=quakes[0]
objCat=eqp.eqcatalog()
#
myaxes=[]
nax=0
# mags:
x0=xTS[0]
y0=yTS0+dyTS*nax
Dy=.275
dy=.05
#myaxes+=[plt.axes([xTS[0], y0, xTS[1], dyTS])]
myaxes+=[plt.axes([.05, .05, .4, .925])]
nax+=1
myaxes+=[plt.axes([.5, 3.0*dy+2.0*Dy, .47, Dy])]
myaxes[-1].text(.25, .8, 'North-west catalog', horizontalalignment='center', verticalalignment='center', transform=myaxes[-1].transAxes, fontsize=15)
nax+=1
myaxes+=[plt.axes([.5, 2.0*dy+Dy, .47, Dy], sharex=myaxes[1])]
myaxes[-1].text(.35, .8, 'Center catalog', horizontalalignment='center', verticalalignment='center', transform=myaxes[-1].transAxes, fontsize=15)
nax+=1
myaxes+=[plt.axes([.5, dy, .47, Dy], sharex=myaxes[1])]
myaxes[-1].text(.75, .8, 'South-east catalog', horizontalalignment='center', verticalalignment='center', transform=myaxes[-1].transAxes, fontsize=15)
nax+=1
#
axescolor = None #'#f6f6f6'
myaxes+=[None]
#myaxes+=[plt.axes([.51, 3.0*dy+2.0*Dy + Dy/3, .25, .2], frameon=False, axisbg=axescolor)]
nax+=1
myaxes+=[None]
#myaxes+=[plt.axes([.75, 2.0*dy+1.0*Dy + dy, .25, Dy/3.0], frameon=False, axisbg=axescolor)]
nax+=1
myaxes+=[plt.axes([.45, 1.0*dy+0.0*Dy + Dy/2., .25, .2], frameon=True, axisbg=axescolor)]
myaxes[-1].text(.25, .8, 'South-east (zoom)', horizontalalignment='center', verticalalignment='center', transform=myaxes[-1].transAxes, fontsize=15)
nax+=1
#
lat0=min(lats)
lat1=max(lats)
lon0=min(lons)
lon1=max(lons)
bm=bmp.Basemap(llcrnrlon=lon0, llcrnrlat=lat0, urcrnrlon=lon1, urcrnrlat=lat1, projection='tmerc', resolution='i', ax=myaxes[0], lat_0=(lat0+.5*(lat1-lat0)), lon_0=(lon0+.5*(lon1-lon0)))
bm.drawcoastlines()
#bm.drawlsmask(land_color='beige', ocean_color='cyan', lakes=True, resolution='i')
bm.fillcontinents(color='beige', lake_color='aqua')
#bm.bluemarble()
#bm.shadedrelief()
#bm.etopo(scale=1.0)
bm.drawstates()
bm.drawcountries()
bm.drawrivers(color='aqua')
first_parallel = lat0-lat0%lat_sep
last_parallel = lat1-lat1%lat_sep
first_merid = lon0-lon0%lon_sep
last_merid = lon1-lon1%lon_sep
bm.drawparallels(scipy.arange(first_parallel, last_parallel, lat_sep), labels=[1,0,0,0])
bm.drawmeridians(scipy.arange(first_merid, last_merid, lon_sep), labels=[0,0,0,1])
#
befores,afters=[],[]
for rw in catlist:
if rw[0]>mainshock[0]: afters+= [rw]
if rw[0]<mainshock[0]: befores+=[rw]
#
x,y = bm(zip(*befores)[2], zip(*befores)[1])
bm.plot(x,y, 'b.', ms=3, label='befores', alpha=.5, zorder=8)
x,y = bm(zip(*afters)[2], zip(*afters)[1])
bm.plot(x,y, 'g.', ms=3, label='afters', alpha=.5, zorder=9)
#
x,y = bm(zip(*quakes)[2], zip(*quakes)[1])
bm.plot(x,y, 'm*', ms=25, alpha=.7, zorder=10)
#
center_SE = [-115.065487, 32.093364]
center_0 = [-115.295300, 32.286200]
center_NW = [-115.601718, 32.543315]
#center_NW = [-115.632, 32.4533]
center_NW2 = [-115.9213, 32.7002]
centers=zip(*[center_NW, center_0, center_SE])
#
x,y = bm(centers[0], centers[1])
bm.plot(x,y, 'ro', ms=12, alpha=1.0, zorder=11)
#
N0=int(getNofm(m=targmag, mc=mc, mt=7.6, dmstar=1.0, dms=1.0))
Lr = 10.0**(targmag/2.0 - 1.76)
#
i=1
centers=zip(*centers)
for center in centers:
circ_cat = circularcat(incat=catlist, latlon=[center[1], center[0]], Rkm=.5*Lr)
#c1=eqp.eqcatalog(circ_cat)
ratios = objCat.plotIntervalRatiosAx(winlen=rb_len, cat=circ_cat, hitThreshold=1.0, bigmag=9.0, thisAx=myaxes[i], ratios=None, delta_t=1, avlen=rbavelen, mainEv=mainshock, logZ=None, rbLegLoc=0, reverse=False)
#print "ratios: ", len(ratios), len(ratios[0])
#return ratios
rs=map(operator.itemgetter(5), ratios)
myaxes[i].set_ylim(bottom=min(rs), top=max(rs))
#
#myaxes[i].plot([mainshock[0]+dtm.timedelta(seconds=100), mainshock[0]+dtm.timedelta(seconds=100)], [.1, 10.], 'k-', lw=3, alpha=.8, zorder=11)
myaxes[i].plot([mainshock[0]], [1.15], 'rd', ms=8, alpha=.8, zorder=11)
myaxes[i].plot([mainshock[0]], [1.15], 'kd', ms=10, alpha=.7, zorder=10)
#
#
circXY = getLLcircle(center[0], center[1], r=.5*Lr*1000., rtype=0, N=500)
Xcirc, Ycirc=bm(scipy.array(circXY[0]), scipy.array(circXY[1]))
bm.plot(Xcirc, Ycirc, 'r--', ax=myaxes[0], zorder=8, lw=3, alpha=.8)
#ax.plot(Xcirc, Ycirc, 'r--', zorder=8, lw=2, alpha=.8)
#llcenter = c1.catmap(thisCenter[0], thisCenter[1])
#llepicen = c1.catmap(emcEvent[2], emcEvent[1])
#llfs = c1.catmap(emcFS[2], emcFS[1])
#ax.plot([llcenter[0]], [llcenter[1]], 'ro', ms=10, zorder=9)
#ax.plot([llepicen[0]], [llepicen[1]], 'm*', ms=18, zorder=10, label='Mainshock')
#ax.plot([llfs[0]], [llfs[1]], 'c*', ms=13, zorder=10, label='Foreshock')
#ax.legend(loc=0, numpoints=1
#
newratios=[]
tickDates=[]
tickLabels=[]
if i==1:
myax=myaxes[4]
dt1=dtm.datetime(2009,11,1, tzinfo=pytz.timezone('UTC'))
dt2=dtm.datetime(2010,5,1, tzinfo=pytz.timezone('UTC'))
for rw in ratios:
if rw[1]>dt1 and rw[1]<dt2: newratios+=[rw]
#
if i==2:
myax=None
# do nothing
#for rw in ratios:
# if rw[1]>dtm.datetime(2009,11,1, tzinfo=pytz.timezone('UTC')) and rw[1]<dtm.datetime(2010,5,1, tzinfo=pytz.timezone('UTC')):
# newratios+=[rw]
# myax=myaxes[5]
# myax.set_xticks([])
# myax.set_yticks([])
# myax.set_xticklabels([])
# myax.set_yticklabels([])
#
#
if i==3:
myax=myaxes[6]
dt1=dtm.datetime(2010,2,1, tzinfo=pytz.timezone('UTC'))
dt2=dtm.datetime(2010,5,1, tzinfo=pytz.timezone('UTC'))
for rw in ratios:
if rw[1]>dt1 and rw[1]<dt2: newratios+=[rw]
#
if myax!=None:
myax.set_ylim(auto=True)
r2=objCat.plotIntervalRatiosAx(winlen=None, cat=circ_cat, hitThreshold=1.0, bigmag=9.0, thisAx=myax, ratios=newratios, delta_t=1, avlen=1, mainEv=mainshock, logZ=None, rbLegLoc=0, reverse=False)
myax.plot([mainshock[0]], [1.15], 'rd', ms=7, alpha=.8, zorder=11)
myax.plot([mainshock[0]], [1.15], 'kd', ms=9, alpha=.7, zorder=10)
#
miny=min(map(operator.itemgetter(5), newratios))
maxy=max(map(operator.itemgetter(5), newratios))
myax.set_ybound(lower=.9*miny, upper=maxy*1.1)
myax.set_xbound(lower=dt1, upper=dtm.datetime(2010,5,1, tzinfo=pytz.timezone('UTC')))
#
tickDates += [dt1]
tickLabels += ['%d/%d' % (dt1.month, dt1.year)]
#
while tickDates[-1]<=dt2:
newmonth=1+(tickDates[-1].month)%12
#if newmonth==0: newmonth=12
dYear = tickDates[-1].year-tickDates[0].year + (tickDates[-1].month)/12
#
#print "new date: ", dt1.year+dYear,newmonth,1
tickDates += [dtm.datetime(dt1.year+dYear,newmonth,1, tzinfo=pytz.timezone('UTC'))]
tickLabels += ['%d/%d' % (tickDates[-1].month, tickDates[-1].year)]
#myax.set_xticks(map(mpd.date2num, tickDates))
myax.set_xticks(tickDates)
myax.set_xticklabels(tickLabels)
#
i+=1
return None
def EMCQuads(targmag=7.2, mc=2.5, rfactor=.5, lats=[31.5, 33.0], lons=[-116.15, -114.5], weighted_ratios=False):
# rfactor=.5, mc=3.0 looks great.
Nsequence = getNofm(targmag, mc)
emcEvent = [dtm.datetime(2010, 4, 4, 22, 40, 42, 360004, tzinfo=mhp.pytz.timezone('UTC')), 32.2862, -115.2953, 7.2, 10.0]
emcFS = [dtm.datetime(2009, 12, 30, 18, 48, 57, 330004, tzinfo=mhp.pytz.timezone('UTC')), 32.464, -115.1892, 5.8, 6.0] #"foreshock"?
a=mhp.elmayorhm(mc=mc, todt=mhp.dtm.datetime.now(mhp.pytz.timezone('UTC')), ndithers=10, nContours=nContours1, bigmag=6.0, refreshcat=True, dt0=mhp.dtm.datetime(1990,1,1, tzinfo=mhp.pytz.timezone('UTC')), lats=lats, lons=lons)
c1=a.getcat()
while len(c1.subcats)>0:c1.subcats.pop()
#targmag=6.96 # this is the estimated thickness of the seismogenic zone.
#
## and let's strip out the far-field events (to make a prettier plot):
#i=0
#while i<len(c1.cat):
# #if rw[1]>33.25 or rw[1]<31.25 or rw[2]>-114.5 or rw[2]<-116.5: continue
# while rw[1]>33.25 or rw[1]<31.25 or rw[2]>-114.5 or rw[2]<-116.5:
#
#
N0=int(getNofm(m=targmag, mc=mc, mt=7.6, dmstar=1.0, dms=1.0))
Lr = 10.0**(targmag/2.0 - 1.76)
thisr=rfactor
print "Rupture Len: %f" % (thisr*Lr)
#
thetadeg=40.
theta = thetadeg*2.0*math.pi/360.0
mywinlen = winlen(targmag, mc, mt=7.6, doInt=False)
dr=.1
dx=dr*math.cos(theta)
dy=dr*math.sin(theta)
i=-6
#i=5
plt.figure(9)
plt.clf()
c1.rbomoriQuadPlot(mc=mc, targmag=targmag, bigmag=8.0, catnum=0, fignum=9, plotevents=False, intlist=[int(N0*.5), int(N0*.666), N0, int(N0*1.5)], weighted=weighted_ratios)
plt.title('Full catalog (for reference)')
fnum=10
center =emcEvent[2], emcEvent[1]
#while i<=6:
for i in [-3,0,4]:
#continue
thisCenter = [center[0]-i*dx, center[1]+i*dy]
c1.subcats+=[['circ%f' % i, circularcat(incat=c1.getcat(), latlon=[thisCenter[1], thisCenter[0]], Rkm=thisr*Lr)]]
print "Center %d: %f, %f" % (i, thisCenter[0], thisCenter[1])
f=plt.figure(fnum)
plt.clf()
#
print "catlen: %d" % len(c1.getcat(len(c1.subcats)))
#
if mywinlen>(len(c1.getcat(len(c1.subcats)))*1.1):
i+=1.0
fnum+=1
continue
c1.rbomoriQuadPlot(mc=mc, targmag=targmag, bigmag=8.0, catnum=len(c1.subcats), fignum=fnum, plotevents=False, intlist=[int(N0*.5), int(N0*.666), N0, int(N0*1.5)], thislw=2.25, weighted=weighted_ratios)
#
#
f=plt.figure(fnum)
thisAxes = f.get_axes()
if len(thisAxes)<4:
i+=1.0
fnum+=1
continue
#
ax=thisAxes[2]
ax.plot([emcEvent[0]], [1.], 'r^', ms=12, zorder=17)
#
ax=thisAxes[3]
#
circXY = getLLcircle(thisCenter[0], thisCenter[1], r=thisr*Lr*1000., rtype=0, N=500)
Xcirc, Ycirc=c1.catmap(scipy.array(circXY[0]), scipy.array(circXY[1]))
ax.plot(Xcirc, Ycirc, 'r--', zorder=8, lw=3, alpha=.8)
llcenter = c1.catmap(thisCenter[0], thisCenter[1])
llepicen = c1.catmap(emcEvent[2], emcEvent[1])
llfs = c1.catmap(emcFS[2], emcFS[1])
ax.plot([llcenter[0]], [llcenter[1]], 'ro', ms=10, zorder=9)
ax.plot([llepicen[0]], [llepicen[1]], 'm*', ms=25, zorder=10, label='Mainshock')
ax.plot([llfs[0]], [llfs[1]], 'c*', ms=20, zorder=10, label='Foreshock')
ax.legend(loc=0, numpoints=1 )
# earthquakes:
befores=[]
afters=[]
#for rw in c1.getcat(len(c1.subcats)):
for rw in c1.getcat(0):
#
# let's narrow the map for a prettier plot.
#if rw[1]>33.25 or rw[1]<31.25 or rw[2]>-114.5 or rw[2]<-116.5: continue
if rw[0]<emcEvent[0]: befores+=[[rw[2], rw[1]]]
if rw[0]>=emcEvent[0]: afters+=[[rw[2], rw[1]]]
befores=zip(*befores)
afters=zip(*afters)
X,Y = c1.catmap(befores[0], befores[1])
ax.plot(X,Y, 'b.', ms=3, zorder=8, alpha=.7, label='befores')
X,Y = c1.catmap(afters[0], afters[1])
ax.plot(X,Y, 'g.', ms=3, zorder=6, alpha=.7, label='after')
ax.legend(loc=0, numpoints=1)
#
# now, show the mainshock and foreshock on the magnitude timeseries:
ax=thisAxes[0]
ax.plot(emcEvent[0], emcEvent[3], 'm*', ms=12, label='Mainshock: m=7.2, 4 Apr. 2010')
ax.plot(emcFS[0], emcFS[3], 'c*', ms=12, label='Foreshock: m=5.8, 30 Dec. 2009')
ax.legend(loc='upper left', numpoints=1)
#
#
i+=1.0
fnum+=1
#
# now, one elliptical catalog:
if 1==1:
xoffset=0.0
yoffset=0.0
thisCenter = [-115.2953+xoffset, 32.2862+yoffset]
thistheta=-48.0
# ellipcat(incat, latlon, a=10.0, b=5.0, ellipTheta=0.0):
a=60.0 # in meters...
b=20.0
b=a/3.0
# let's try an equal area transform with L=L_r?
r0 = .5*10.0**(7.2/2.0 - 1.76)
eps = 2.67 # as per Shcherbakof, parkfield (.4/.15)
epsSqrt = math.sqrt(eps)
a=r0*epsSqrt
b=r0/epsSqrt
#
# also consider Lr=120, which i think is a common measured value of the rupture length.
#
#c1.subcats+=[['ellip%d' % i, ellipcat(incat=c1.getcat(0), latlon=[thisCenter[1], thisCenter[0]], a=a, b=b, ellipTheta=thistheta)]]
c1.subcats+=[['ellip%d' % i, ellipcat(incat=c1.getcat(0), latlon=[thisCenter[1], thisCenter[0]], a=a, b=b, ellipTheta=thistheta)]]
#plt.figure(47)
#plt.clf()
#plt.plot(map(operator.itemgetter(2), c1.getcat(len(c1.subcats))), map(operator.itemgetter(1), c1.getcat(len(c1.subcats))), 'b.')
#plt.plot(map(operator.itemgetter(2), elcat), map(operator.itemgetter(1), elcat), 'g.')
f=plt.figure(fnum)
plt.clf()
#
print "catlen: %d" % len(c1.getcat(len(c1.subcats)))
mywinlen = winlen(targmag, mc, mt=7.6, doInt=False)
if mywinlen>(len(c1.getcat(len(c1.subcats)))*1.1):
i+=1.0
fnum+=1
#continue
#N0=int(getNofm(m=targmag, mc=mc, mt=7.6, dmstar=1.0, dms=1.0))
c1.rbomoriQuadPlot(mc=mc, targmag=targmag, bigmag=8.0, catnum=len(c1.subcats), fignum=fnum, plotevents=False, intlist=[int(N0*.5), int(N0*.666), N0, int(N0*1.5)], thislw=2.25, deltaLat=.5, deltaLon=.5, weighted=weighted_ratios)
#
#
f=plt.figure(fnum)
thisAxes = f.get_axes()
if len(thisAxes)<4:
i+=1.0
fnum+=1
#continue
#
ax=thisAxes[2]
ax.plot([emcEvent[0]], [1.], 'r^', ms=12, zorder=17)
arrow_width=30
ax.arrow(emcEvent[0]-dtm.timedelta(days=30), 4., 0., -2.5, width=arrow_width, head_width=3.*arrow_width, head_length=.1, color='m', zorder=11, alpha=.9) #
#
ax=thisAxes[3]
#
#circXY = getLLcircle(thisCenter[0], thisCenter[1], r=thisr*Lr*1000., rtype=0, N=500)
circXY = getEllipser0(x0=thisCenter[0], y0=thisCenter[1], r0=None, epsilon=None, thetaEllipse=thistheta, N=1000, a=a, b=b)
#
Xcirc, Ycirc=c1.catmap(scipy.array(circXY[0]), scipy.array(circXY[1]))
ax.plot(Xcirc, Ycirc, 'b--', zorder=8, lw=3, alpha=.8)
ax.fill(Xcirc, Ycirc, 'b', zorder=4, alpha=.2)
llcenter = c1.catmap(thisCenter[0], thisCenter[1])
llepicen = c1.catmap(emcEvent[2], emcEvent[1])
llfs = c1.catmap(emcFS[2], emcFS[1])
#ax.plot([llcenter[0]], [llcenter[1]], 'ro', ms=10, zorder=9)
ax.plot([llepicen[0]], [llepicen[1]], 'm*', ms=25, zorder=10, label='Mainshock')
ax.plot([llfs[0]], [llfs[1]], 'c*', ms=20, zorder=10, label='Foreshock')
ax.legend(loc=0, numpoints=1 )
# earthquakes:
befores=[]
afters=[]
#for rw in c1.getcat(len(c1.subcats)):
ins=[[],[]]
for rw in c1.getcat(0):
#
if rw[0]<emcEvent[0]: befores+=[[rw[2], rw[1]]]
if rw[0]>=emcEvent[0]: afters+=[[rw[2], rw[1]]]
#for rw in c1.getcat(len(c1.subcats)):
# ins[0]+=[rw[2]]
# ins[1]+=[rw[1]]
befores=zip(*befores)
afters=zip(*afters)
X,Y = c1.catmap(befores[0], befores[1])
ax.plot(X,Y, 'b.', ms=3, zorder=8, alpha=.7, label='befores')
X,Y = c1.catmap(afters[0], afters[1])
ax.plot(X,Y, 'g.', ms=3, zorder=6, alpha=.7, label='after')
#xin, yin = c1.catmap(ins[0], ins[1])
#ax.plot(xin, yin, 'r.', ms=3, zorder=9, alpha=.5)
#
ax.legend(loc=0, numpoints=1)
#
# foreshock, mainshock mags.
ax=thisAxes[0]
ax.plot(emcEvent[0], emcEvent[3], 'm*', ms=12, label='Mainshock: m=7.2, 4 Apr. 2010')
ax.plot(emcFS[0], emcFS[3], 'c*', ms=12, label='Foreshock: m=5.8, 30 Dec. 2009')
ax.legend(loc='upper left', numpoints=1)
#
#
i+=1.0
fnum+=1
return c1
def parkfieldQuads2(targmag=5.96, mc=1.5, rfactor=.5, weighted_ratios=False):
# array of elliptical Parkfield RBTS. (production plot comes from here).
Nsequence = getNofm(targmag, mc)
intervalList = [int(Nsequence*.5), int(Nsequence*.666), Nsequence, int(Nsequence*1.5)]
pfEvent = [dtm.datetime(2004, 9, 28, 22, 40, 0, 0, tzinfo=mhp.pytz.timezone('UTC')), 35.8182, -120.366, 5.97, 8.58]
a=mhp.parkfieldhm(mc=mc, todt=mhp.dtm.datetime.now(mhp.pytz.timezone('UTC')), ndithers=10, nContours=nContours1, bigmag=5.0, refreshcat=True, dt0=mhp.dtm.datetime(1990,1,1, tzinfo=mhp.pytz.timezone('UTC')), lats=[35.415, 36.5], lons=[-120.9, -119.97])
#
c1=a.getcat()
while len(c1.subcats)>0:c1.subcats.pop()
#
Lr = 10.0**(targmag/2.0 - 1.76)
thisr=rfactor
#
thetadeg=42.
theta = thetadeg*2.0*math.pi/360.0
dr=.05
dx=dr*math.cos(theta)
dy=dr*math.sin(theta)
i=-2.0
fnum=10
center =pfEvent[2], pfEvent[1]
# epicenter and also see: center: 35.885113, -120.440314 for good plots.
while i<=9:
thisCenter = [center[0]-i*dx, center[1]+i*dy]
if i==9: thisCenter = [-120.5, 35.9]
#c1.subcats+=[['circ%f' % i, circularcat(incat=c1.getcat(), latlon=[thisCenter[1], thisCenter[0]], Rkm=thisr*Lr)]]
print "fnum: %d, center: %f, %f" % (fnum, thisCenter[1], thisCenter[0])
c1.addEllipCat('ellip%f' % i, c1.cat, thetadeg, thisCenter[1], thisCenter[0], .4, .15)
f=plt.figure(fnum)
c1.rbomoriQuadPlot(mc=mc, targmag=targmag, bigmag=6.0, catnum=len(c1.subcats), fignum=fnum, plotevents=False, intlist=intervalList, thislw=2.25, deltaLat=.25, deltaLon=.25, weighted=weighted_ratios)
mywinlen = winlen(targmag, mc, mt=7.6, doInt=False)
if mywinlen>(len(c1.getcat(len(c1.subcats)))*1.1):
i+=1.0
fnum+=1
continue
#
print "catlen: %d" % len(c1.getcat(len(c1.subcats)))
#
f=plt.figure(fnum)
thisAxes = f.get_axes()
if len(thisAxes)<4:
i+=1.0
fnum+=1
continue
#
ax=thisAxes[2]
# poisson error range:
rb_poisson = ratio_sigma(float(Nsequence))[0]
rb_poisson_stderr = float(rb_poisson)**(1./math.sqrt(.1*Nsequence)) # not quite; we should properly calc. ave_len.
print "rb_poisson: %f, %f" % (rb_poisson, rb_poisson_stderr)
this_cat = c1.getcat(len(c1.subcats))
ax.plot([this_cat[0][0], this_cat[-1][0]], [rb_poisson_stderr, rb_poisson_stderr], 'b--', lw=2)
ax.plot([this_cat[0][0], this_cat[-1][0]], [1./rb_poisson_stderr, 1./rb_poisson_stderr], 'r--', lw=2)
ax.plot([pfEvent[0]], [1.], 'r^', ms=12, zorder=17)
arrow_width=40.
ax.arrow(pfEvent[0]-dtm.timedelta(days=20), 4., 0., -1.5, width=arrow_width, head_width=3.*arrow_width, head_length=.3, color='m', zorder=11, alpha=.9) #
#
ax=thisAxes[3]
#
#circXY = getLLcircle(thisCenter[0], thisCenter[1], r=thisr*Lr*1000., rtype=0, N=500)
#Xcirc, Ycirc=c1.catmap(scipy.array(circXY[0]), scipy.array(circXY[1]))
#ax.plot(Xcirc, Ycirc, 'm--', zorder=8, lw=2, alpha=.8)
#
# catalog ellipse:
r0 = .5*10.0**(targmag/2.0 - 1.76)
eps = math.sqrt(2.67) # as per Shcherbakof, parkfield (.4/.15)
#a=r0*eps
a=40.
b=15.
#b=r0/(eps**2.)
circXY = getEllipser0(x0=thisCenter[0], y0=thisCenter[1], r0=None, epsilon=None, thetaEllipse=-thetadeg, N=500, a=a, b=b)
Xcirc, Ycirc=c1.catmap(scipy.array(circXY[0]), scipy.array(circXY[1]))
ax.plot(Xcirc, Ycirc, 'b--', zorder=8, lw=3, alpha=.8)
ax.fill(Xcirc, Ycirc, 'b', zorder=3, alpha=.25)
#
llcenter = c1.catmap(thisCenter[0], thisCenter[1])
llepicen = c1.catmap(pfEvent[2], pfEvent[1])
ax.plot([llcenter[0]], [llcenter[1]], 'ro', ms=10, alpha=.8, zorder=10)
ax.plot([llepicen[0]], [llepicen[1]], 'm*', ms=25, alpha=.8, zorder=9, label='Mainshock')
ax.legend(loc=0, numpoints=1 )
# earthquakes:
befores=[]
afters=[]
#for rw in c1.getcat(len(c1.subcats)):
for rw in c1.getcat(0):
if rw[0]<pfEvent[0]: befores+=[[rw[2], rw[1]]]
if rw[0]>=pfEvent[0]: afters+=[[rw[2], rw[1]]]
befores=zip(*befores)
afters=zip(*afters)
X,Y = c1.catmap(befores[0], befores[1])
ax.plot(X,Y, 'b.', ms=3, zorder=5, alpha=.7, label='befores')
X,Y = c1.catmap(afters[0], afters[1])
ax.plot(X,Y, 'g.', ms=3, zorder=4, alpha=.7, label='afters')
ax.legend(loc=0, numpoints=1)
'''
X=map(operator.itemgetter(2), c1.getcat(len(c1.subcats)))
Y=map(operator.itemgetter(1), c1.getcat(len(c1.subcats)))
X,Y=c1.catmap(X,Y)
ax.plot(X,Y, 'r.', ms=3, zorder=9, alpha=.24)
'''
#
i+=1.0
fnum+=1
return c1
def parkfieldQuadsCircular(targmag=5.96, mc=1.5, rfactor=.5, weighted_ratios=False):
Nsequence = getNofm(targmag, mc)
intervalList = [int(Nsequence*.5), int(Nsequence*.666), Nsequence, int(Nsequence*1.5)]
pfEvent = [dtm.datetime(2004, 9, 28, 22, 40, 0, 0, tzinfo=mhp.pytz.timezone('UTC')), 35.8182, -120.366, 5.97, 8.58]
a=mhp.parkfieldhm(mc=mc, todt=mhp.dtm.datetime.now(mhp.pytz.timezone('UTC')), ndithers=10, nContours=nContours1, bigmag=5.0, refreshcat=True, dt0=mhp.dtm.datetime(1990,1,1, tzinfo=mhp.pytz.timezone('UTC')))
c1=a.getcat()
while len(c1.subcats)>0:c1.subcats.pop()
#
Lr = 10.0**(targmag/2.0 - 1.76)
thisr=rfactor
#
thetadeg=42.
theta = thetadeg*2.0*math.pi/360.0
#dr=.05
dr=.01
dx=dr*math.cos(theta)
dy=dr*math.sin(theta)
#
a=40.
b=15.
center =pfEvent[2], pfEvent[1]
ellipseXY = getEllipser0(x0=center[0], y0=center[1], r0=None, epsilon=None, thetaEllipse=-thetadeg, N=500, a=a, b=b)
Xellipse, Yellipse=c1.catmap(scipy.array(ellipseXY[0]), scipy.array(ellipseXY[1]))
#
i=-2.0
fnum=10
i=7
#while i<8:
# (in this configuration, pane 22 is the sweet spot).
while (center[1]+i*dy)<36.0:
thisCenter = [center[0]-i*dx, center[1]+i*dy]
#c1.subcats+=[['circ%f' % i, circularcat(incat=c1.getcat(), latlon=[thisCenter[1], thisCenter[0]], Rkm=thisr*Lr)]]
#c1.addEllipCat('ellip%f' % i, c1.cat, thetadeg, thisCenter[1], thisCenter[0], .4, .15)
#
if fnum!=22:
i+=1
fnum+=1
continue
#
print "center: ", thisCenter
c1.subcats+=[['circ%f' % i, circularcat(incat=c1.getcat(0), latlon=[thisCenter[1], thisCenter[0]], Rkm=thisr*Lr)]]
f=plt.figure(fnum)
c1.rbomoriQuadPlot(mc=mc, targmag=targmag, bigmag=6.0, catnum=len(c1.subcats), fignum=fnum, plotevents=False, intlist=intervalList, thislw=2.25, deltaLat=.25, deltaLon=.25, weighted=weighted_ratios)
mywinlen = winlen(targmag, mc, mt=7.6, doInt=False)
if mywinlen>(len(c1.getcat(len(c1.subcats)))*1.1):
i+=1.0
fnum+=1
continue
#
print "catlen: %d" % len(c1.getcat(len(c1.subcats)))
#
f=plt.figure(fnum)
thisAxes = f.get_axes()
if len(thisAxes)<4:
i+=1.0
fnum+=1
continue
#
ax = thisAxes[0]
ax.plot([pfEvent[0]], [pfEvent[3]], 'm*', ms=10, label='mainshock')
ax.legend(loc='upper left', numpoints=1)
#
ax=thisAxes[2]
#ax.plot([pfEvent[0]], [1.1], 'm*', ms=15, zorder=17)
ax.plot([pfEvent[0], pfEvent[0]], [.3,7.], 'm--', lw=3, alpha=.8, zorder=11)
#
ax=thisAxes[3]
#
circXY = getLLcircle(thisCenter[0], thisCenter[1], r=thisr*Lr*1000., rtype=0, N=500)
Xcirc, Ycirc=c1.catmap(scipy.array(circXY[0]), scipy.array(circXY[1]))
ax.plot(Xcirc, Ycirc, 'r--', zorder=8, lw=3, alpha=.8)
circXY = getLLcircle(thisCenter[0], thisCenter[1], r=Lr*1000., rtype=0, N=500)
Xcirc, Ycirc=c1.catmap(scipy.array(circXY[0]), scipy.array(circXY[1]))
ax.plot(Xcirc, Ycirc, 'r-.', zorder=8, lw=3, alpha=.8)
#
## catalog ellipse:
#r0 = .5*10.0**(targmag/2.0 - 1.76)
#eps = math.sqrt(2.67) # as per Shcherbakof, parkfield (.4/.15)
#a=r0*eps
#b=r0/eps
ax.plot(Xellipse, Yellipse, 'b--', zorder=8, lw=2, alpha=.8)
ax.fill(Xellipse, Yellipse, 'b', zorder=3, alpha=.25)
#
llcenter = c1.catmap(thisCenter[0], thisCenter[1])
llepicen = c1.catmap(pfEvent[2], pfEvent[1])
ax.plot([llcenter[0]], [llcenter[1]], 'ro', ms=10, zorder=9)
ax.plot([llepicen[0]], [llepicen[1]], 'm*', ms=24, zorder=10, label='Mainshock')
ax.legend(loc=0, numpoints=1 )
# earthquakes:
befores=[]
afters=[]
#for rw in c1.getcat(len(c1.subcats)):
for rw in c1.getcat(0):
if rw[0]<pfEvent[0]: befores+=[[rw[2], rw[1]]]
if rw[0]>=pfEvent[0]: afters+=[[rw[2], rw[1]]]
befores=zip(*befores)
afters=zip(*afters)
X,Y = c1.catmap(befores[0], befores[1])
ax.plot(X,Y, 'b.', ms=3, zorder=8, alpha=.7, label='befores')
X,Y = c1.catmap(afters[0], afters[1])
ax.plot(X,Y, 'g.', ms=3, zorder=6, alpha=.7, label='afters')
ax.legend(loc='lower center', numpoints=1)
'''
X=map(operator.itemgetter(2), c1.getcat(len(c1.subcats)))
Y=map(operator.itemgetter(1), c1.getcat(len(c1.subcats)))
X,Y=c1.catmap(X,Y)
ax.plot(X,Y, 'r.', ms=3, zorder=9, alpha=.24)
'''
#
i+=1.0
fnum+=1
return c1
def parkfieldQuads(targmag=5.96, mc=1.5, weighted_ratios=False):
# testing differenc circle radii. this approach was not used much since it did not produce any (apparently) significant results.
#
Nsequence = getNofm(targmag, mc)
pfEvent = [dtm.datetime(2004, 9, 28, 17, 15, 24, 249999, tzinfo=mhp.pytz.timezone('UTC')), 35.8182, -120.366, 5.97, 8.58]
a=mhp.parkfieldhm(mc=mc, todt=mhp.dtm.datetime.now(mhp.pytz.timezone('UTC')), ndithers=10, nContours=nContours1, bigmag=5.0, refreshcat=True, dt0=mhp.dtm.datetime(1990,1,1, tzinfo=mhp.pytz.timezone('UTC')))
c1=a.getcat()
while len(c1.subcats)>0:c1.subcats.pop()
#
rfactors = [.5,.75, 1.0, 1.5, 2.0, 2.5, 3.0]
drawCircles=[]
Lr = 10.0**(targmag/2.0 - 1.76)
#
myIndex=1
for thisr in rfactors:
c1.subcats+=[['circ%f' % thisr, circularcat(incat=c1.getcat(), latlon=[pfEvent[1], pfEvent[2]], Rkm=thisr*Lr)]]
#
fnum=myIndex+9
c1.rbomoriQuadPlot(mc=mc, targmag=targmag, bigmag=5.0, catnum=myIndex, fignum=fnum, plotevents=False, intlist=[250, 500, 770, 1000], thislw=2.25, weighted=weighted_ratios)
#
f=plt.figure(fnum)
thisAxes = f.get_axes()
#
ax=thisAxes[2]
ax.plot([pfEvent[0]], [1.0], 'r^', ms=15, alpha=11)
#
ax=thisAxes[3]
#
drawCircles+=[[len(c1.subcats), thisr]]
circXY = getLLcircle(pfEvent[2], pfEvent[1], r=thisr*Lr*1000., rtype=0, N=500)
Xcirc, Ycirc=c1.catmap(scipy.array(circXY[0]), scipy.array(circXY[1]))
ax.plot(Xcirc, Ycirc, 'r--', zorder=8, lw=2, alpha=.8)
#
circXY = getLLcircle(pfEvent[2], pfEvent[1], r=1.0*Lr*1000., rtype=0, N=500)
XcircLr, YcircLr=c1.catmap(scipy.array(circXY[0]), scipy.array(circXY[1]))
ax.plot(XcircLr, YcircLr, 'k--', lw=2, alpha=.8, zorder=7)
#
xEvents = map(operator.itemgetter(2), c1.getcat(myIndex))
yEvents = map(operator.itemgetter(1), c1.getcat(myIndex))
X,Y = c1.catmap(xEvents, yEvents)
ax.plot(X,Y, 'b,')
#
myIndex+=1
return c1
def chilequads(targmag=8.8, mc=5.0, weighted_ratios=False):
Nsequence = getNofm(targmag, mc)
a=mhp.chilehm(mc=mc, todt=mhp.dtm.datetime.now(mhp.pytz.timezone('UTC')), ndithers=10, nContours=nContours1, bigmag=7.0, lons=[135., 148.5], lats=[30., 45.25], refreshcat=True, dt0=mhp.dtm.datetime(1990,1,1, tzinfo=mhp.pytz.timezone('UTC')))
c1=a.getcat()
print "nSubcats: ", len(c1.subcats)
while len(c1.subcats): c1.subcats.pop()
print "nSubcats: ", len(c1.subcats)
event=c1.getMainEvent()
LatLon = event[1], event[2]
Lr = 10.0**(.5*targmag - 1.76)
print "Lr = %f" % Lr
for thisr in rfactors:
c1.subcats+=[['circ%f' % thisr, circularcat(incat=c1.getcat(), latlon=LatLon, Rkm=thisr*Lr)]]
drawCircles+=[[len(c1.subcats), thisr]]
#
print "nSubcats: ", len(c1.subcats)
for k in xrange(len(c1.subcats)):
c1.subcats[k][1].sort(key=lambda x: x[0])
# ... and finish eventually...
def chichiquads(targmag=7.3, mc=2.5, lfactor=.6, catname='cats/taiwan1994.cat', weighted_ratios=False):
# 7.1, or ANSS at 7.3, 7.6? maybe it's up to us to find the "correct" magnitude?
# m=7.3 and lfactor=.6 produce a really nice plot. The corresponding m(L)=7.46 does not appear to produce
# anything useful.
plt.ion()
#
c1=mhp.eqp.eqcatalog()
c1.loadCatFromFile(catname, minmag=mc)
c1.cat.sort(key = lambda x:x[0])
#c1.loadCatFromFile('cats/taiwan1994.cat', minmag=mc)
#1999, 9,
chichidate = dtm.datetime( 1999, 9, 20, 17, 47, 15, 850000, tzinfo=pytz.timezone('UTC'))
chichi = [chichidate, 23.8525, 120.8155, 7.3, 8.0]
#
Lr = 10.0**(targmag/2.0 - 1.76)
#
# now, make a circular subcat around chichi.
while len(c1.subcats)>0: c1.subcats.pop()
#
# mainshock centric:
c1.subcats+=[['r0', circularcat(c1.getcat(0), latlon=[chichi[1], chichi[2]], Rkm=Lr*lfactor)]]
#
# and a subcat centered around the CM of the aftershocks (approximately):
#pre CM (x,y): 121.580116, 23.625129
#post CM (x,y): 120.984787, 23.882699
aftershocksCM=[23.883, 120.985]
c1.subcats+=[['r1', circularcat(c1.getcat(0), latlon=aftershocksCM, Rkm=Lr*lfactor)]]
#
'''
ratios = c1.rbomoriQuadPlot(mc=mc, targmag=targmag, bigmag=targmag-1.1, catnum=1, fignum=0, plotevents=False, intlist=None, thislw=2.25)
thisAxes = plt.figure(0).get_axes()
ax=thisAxes[3]
plotEvents(c1, targmag, mc, ax, chichidate)
circLR = getLLcircle(chichi[2], chichi[1], r=lfactor*Lr*1000., rtype=0, N=500)
XcircLr, YcircLr=c1.catmap(scipy.array(circLR[0]), scipy.array(circLR[1]))
c1.catmap.plot(XcircLr, YcircLr, '-')
'''
#
# and aftershock CM:
c1.rbomoriQuadPlot(mc=mc, targmag=targmag, bigmag=9.5, catnum=2, fignum=2, plotevents=False, intlist=None, mapLLlat=22.5, mapLLlon=119.75, mapURlat=25.0, mapURlon=122.25, thislw=2.25, weighted=weighted_ratios)
thisAxes = plt.figure(2).get_axes()
ax=thisAxes[3]
# plot relevant catalog and "dressing":
#plotEvents(c1, targmag, mc, ax, chichidate)
# plot all events:
Xall, Yall, Xcirc, Ycirc=[],[],[],[]
#Xall, Yall = c1.catmap(map(operator.itemgetter(2), c1.getcat(0)), map(operator.itemgetter(1), c1.getcat(0)))
#Xcirc, Ycirc = c1.catmap(map(operator.itemgetter(2), c1.getcat(2)), map(operator.itemgetter(1), c1.getcat(2)))
# we need to disciriminate by mc, so we have to go old-school and do a loop:
thismc=3.5
my_bigmag=6.2
symb='d'
bigmagsXY = []
for rw in c1.getcat(0):
if rw[3]>thismc:
Xall+=[rw[2]]
Yall+=[rw[1]]
for rw in c1.getcat(2):
if rw[3]>thismc:
Xcirc+=[rw[2]]
Ycirc+=[rw[1]]
if rw[3]>=my_bigmag:
if rw[0]>chichi[0]: symb='s'
if rw[0]<chichi[0]: symb='d'
if rw[0]==chichi[0]: continue # forego the mainshock; we'll plot it separately.
x,y=c1.catmap(rw[2], rw[1])
c1.catmap.plot([x], [y], symb, ms=20*(rw[3]/chichi[3]), alpha=.85, zorder=7, label='m=%.1f, %d/%d/%d' % (rw[3], rw[0].day, rw[0].month, rw[0].year))
Xall, Yall = c1.catmap(Xall, Yall)
Xcirc, Ycirc = c1.catmap(Xcirc, Ycirc)
#
c1.catmap.plot(Xall, Yall, 'g.', ms=3, alpha=.6, zorder=2, ax=ax)
c1.catmap.plot(Xcirc, Ycirc, 'b.', ms=3, alpha=.6, zorder=3, ax=ax)
xchichi, ychichi = c1.catmap(chichi[2], chichi[1])
c1.catmap.plot([xchichi], [ychichi], 'k*', zorder=12, alpha=.8, ax=ax, ms=23)
c1.catmap.plot([xchichi], [ychichi], 'r*', zorder=13, alpha=.8, ax=ax, ms=18, label='m=7.3, %d/%d/%d' % (chichi[0].day, chichi[0].month, chichi[0].year))
#
circLR = getLLcircle(aftershocksCM[1], aftershocksCM[0], r=lfactor*Lr*1000., rtype=0, N=500)
XcircLr, YcircLr=c1.catmap(scipy.array(circLR[0]), scipy.array(circLR[1]))
c1.catmap.plot(XcircLr, YcircLr, 'r--', lw=2, zorder=11)
xcm, ycm=c1.catmap(aftershocksCM[1], aftershocksCM[0])
ax.legend(loc=0, numpoints=1)
#c1.catmap.plot([xcm], [ycm], 'ro', ms=10, zorder=12, alpha=.8, ax=ax, label='Center')
'''
c1.catmap.llcrnrlon=120.
c1.catmap.llcrnrlat=22.75
c1.catmap.urcrnrlon=122.
c1.catmap.urcrnrlat=24.75
c1.catmap.set_axes_limits(ax=ax)
plt.legend(loc=0, numpoints=1)
'''
#
ax=thisAxes[2]
ax.set_xlim([dtm.datetime(1998,6,1, tzinfo=pytz.timezone('UTC')), dtm.datetime(2008,2,1, tzinfo=pytz.timezone('UTC'))])
ax.set_ylim(.45, 6.3)
#ax.plot([chichidate, chichidate], [.3, 6.], 'm-', lw=3, ms=10, alpha=.8, zorder=11)
ax.plot([chichidate], [1.1], 'md', ms=10, alpha=.8, zorder=11)
arrow_width=15.
ax.arrow(chichidate, 6., 0., -3., width=arrow_width, head_width=3.*arrow_width, head_length=.3, color='m', zorder=11, alpha=.9) #
ax=thisAxes[0]
ax.plot([chichidate], [chichi[3]], 'md', lw=3, ms=12, alpha=.8, zorder=11)
ax.set_ylim([mc-.1, chichi[3]+ .1])
#
# now, add a zoomed in plot of the mainshoc RBTS
# myaxes+=[plt.axes([.1, .68, .45, .3], sharex=myaxes[0])]
axescolor = None #'#f6f6f6'
thisAxes+=[plt.axes([.22, .55, .25, .2], frameon=True, axisbg=axescolor)]
#
myax=thisAxes[4]
#myax.set_ylim(auto=True)
winlen = mhp.getNsample(m=targmag, mc=mc)
rbavelen=max(1, int(winlen/10.))
#
if weighted_ratios==False:
r2=c1.plotIntervalRatiosAx(winlen=winlen, cat=c1.getcat(2), hitThreshold=1.0, bigmag=9.0, thisAx=myax, ratios=None, delta_t=1, avlen=rbavelen, mainEv=chichi, logZ=None, rbLegLoc=0, reverse=False)
if weighted_ratios==True:
r2=c1.plotWeightedIntervalRatiosAx(winlen=winlen, cat=c1.getcat(2), hitThreshold=1.0, bigmag=9.0, thisAx=myax, ratios=None, delta_t=1, avlen=rbavelen, mainEv=chichi, logZ=None, rbLegLoc=0, reverse=False)
#
myax.plot([chichi[0]], [1.15], 'md', ms=7, alpha=.8, zorder=11)
myax.plot([chichi[0]], [1.15], 'kd', ms=9, alpha=.7, zorder=10)
#
#miny=min(map(operator.itemgetter(5), newratios))
#maxy=max(map(operator.itemgetter(5), newratios))
miny=.6
maxy=3.
dtstart=dtm.datetime(1999,2,1, tzinfo=pytz.timezone('UTC'))
dtend=dtm.datetime(2000,1,1, tzinfo=pytz.timezone('UTC'))
myax.set_ybound(lower=.9*miny, upper=maxy*1.1)
myax.set_xbound(lower=dtstart, upper=dtend)
#
tickDates = [dtstart]
tickLabels = ['%d/%d' % (dtstart.month, dtstart.year)]
#
while tickDates[-1]<=dtend:
newmonth=1+(1+tickDates[-1].month)%12
#if newmonth==0: newmonth=12
dYear = tickDates[-1].year-tickDates[0].year + (tickDates[-1].month)/12
#
#print "new date: ", dt1.year+dYear,newmonth,1
tickDates += [dtm.datetime(dtstart.year+dYear,newmonth,1, tzinfo=pytz.timezone('UTC'))]
tickLabels += ['%d/%d' % (tickDates[-1].month, tickDates[-1].year)]
#myax.set_xticks(map(mpd.date2num, tickDates))
myax.set_xticks(tickDates)
myax.set_xticklabels(tickLabels)
#
myax=thisAxes[1]
ax.legend(loc='lower right', numpoints=0)
#
return c1
#return thisAxes[2]
# PAGEOPH-rbints
def sumatraQuad(mc=5.0, targmag=9.1, rbavelen=None, bigmag=9.5, intlist=None, catname='cats/sumatra.cat', refreshcat=False, plotevents=False, mt=7.55, lons=[92.0, 106.0],lats=[-9.0, 10.0], lfactor=.5, weighted_ratios=False):
#
# mc=4.75 might be ok, but i think we get better results for 5.0
#
# the full catalog produces a pretty nice signature for both 9.1 and 9.3. the 9.3 signature has that nice, quasi (log)linear
# steady slope into the negative with a blue blip at the mainshock, and then again red carrying into a major cluster of events in
# late Jan. for the PAGEOPH paper, let's just stick to m=9.1 and use the full cat + 2 circular cats (maybe) as examples.
#
# ... except that, when we "correct" the N sacaling to use an averaged dm_bath value, we only have enough data for m=9.1 in the extended catalog.
# the 'sweet spot' for a circular catalog is probably out there, but i'm not finding it easily, so let's just use sumatra to expand the discussion to
# broad catalogs and transition to the prospect of a hazard map.
#
plt.ion()
# for m=9.1, N=223, for m=8.6, N=70 (for mc=4.75)
# the (a) catalog:
if catname==None:
refreshcat=True
catname='cats/indonesia2012.cat'
if refreshcat==True:
#cl1=yp.catfromANSS(lon=[92.0, 106.0],lat=[-9.0, 10.0], minMag=3.5, dates0=[yp.dtm.datetime(1990,1,1, tzinfo=pytz.timezone('UTC')), yp.dtm.datetime(2012,6,19, tzinfo=pytz.timezone('UTC'))], fout=catname)
cl1=atp.catfromANSS(lon=lons,lat=lats, minMag=mc, dates0=[dtm.datetime(1990,1,1, tzinfo=pytz.timezone('UTC')), dtm.datetime.now(pytz.timezone('UTC'))], fout=catname)
#
c1=eqp.eqcatalog([])
c1.mt=mt
c1.mc=mc
c1.loadCatFromFile(catname)
c1.cat.sort(key = lambda x:x[0])
dlambda=1.76
Lr=10.0**(targmag/2.0 - dlambda)
#x0,y0 = c1.catmap(95.854, 3.316) # mainshock
latlonMS=[3.316, 95.854] #mainshock
#mainshock = [dtm.datetime(2004, 12, 26, 0, 58, 53, 449995, tzinfo=pytz.timezone('UTC')), 3.295, 95.982, 9.0, 30.0]
mainshock=c1.getMainEvent()
mainshock[3]=9.1 #ANSS seems to be listing sumatra as 9.0 lately.
mevIndex = mainshock[-1]
#
foreshocks = []
foreshocks+=[mainshock[:]]
foreshocks+=[mainshock[:]]
#foreshocks+=[[dtm.datetime(2000, 6, 4, 16, 28, 26, 170001, tzinfo=pytz.timezone('UTC')), -4.721, 102.087, 7.9, 33.0]]
#foreshocks+=[[dtm.datetime(2001, 2, 13, 19, 28, 30, 260001, tzinfo=pytz.timezone('UTC')), -4.68, 102.562, 7.4, 36.0]]
#foreshocks+=[[dtm.datetime(2002, 11, 2, 1, 26, 10, 699996, tzinfo=pytz.timezone('UTC')), 2.824, 96.085, 7.4, 30.0]]
#
# adjust mainshock:
foreshocks[0][1]+=0.
foreshocks[0][2]-=0.
#
for i in xrange(mevIndex+1,len(c1.getcat(0))):
if c1.getcat(0)[i][3]>=8.0:
foreshocks+=[c1.getcat(0)[i]]
print "large aftershock: ", c1.getcat(0)[i]
#