def computeActivityFromBackground(feature,
layer_fault_background,
layer_background,
catalog,
mmin=atticivy.ATTICIVY_MMIN,
m_threshold=FAULT_BACKGROUND_MAG_THRESHOLD,
mindepth=eqcatalog.CUT_DEPTH_MIN,
maxdepth=eqcatalog.CUT_DEPTH_MAX,
ui_mode=True):
"""Compute activity parameters a and b for (i) fault background zone, and
(ii) from buffer zone around fault zone.
Input:
feature fault source zone
layer_fault_background
layer_background
catalog
mmin
Output:
TODO(fab)
"""
activity = {}
provider_fault_back = layer_fault_background.dataProvider()
provider_back = layer_background.dataProvider()
# get Shapely polygon from fault zone feature geometry
polylist, vertices = utils.polygonsQGS2Shapely((feature, ))
try:
fault_poly = polylist[0]
except IndexError:
error_msg = "Background activity: invalid FSZ geometry, id %s" % (
feature.id())
if ui_mode is True:
QMessageBox.warning(None, "FSZ Warning", error_msg)
else:
print error_msg
return None
# get buffer zone around fault zone (convert buffer distance to degrees)
(bz_poly,
bz_area) = utils.computeBufferZone(fault_poly,
momentrate.BUFFER_AROUND_FAULT_ZONE_KM)
# find fault background zone in which centroid of fault zone lies
# NOTE: this can yield a wrong background zone if the fault zone
# is curved and at the edge of background zone.
# TODO(fab): use GIS "within" function instead, but note that fault
# zone can overlap several BG zones
(fbz, fbz_poly, fbz_area) = utils.findBackgroundZone(fault_poly.centroid,
provider_fault_back,
ui_mode=ui_mode)
if fbz is None:
error_msg = "Recurrence: could not determine FBZ for zone %s" % (
feature.id())
if ui_mode is True:
QMessageBox.warning(None, "Recurrence Warning", error_msg)
else:
print error_msg
fbz_id = None
else:
attribute_map_fbz = utils.getAttributeIndex(
provider_fault_back, (features.FAULT_BACKGROUND_ATTR_ID, ),
create=False)
# get fault background zone ID
id_name = features.FAULT_BACKGROUND_ATTR_ID['name']
fbz_id = int(fbz[attribute_map_fbz[id_name][0]].toDouble()[0])
# get mmax and mcdist for FBZ from background zone
(mcdist_qv, mmax_qv) = areasource.getAttributesFromBackgroundZones(
fbz_poly.centroid,
provider_back,
areasource.MCDIST_MMAX_ATTRIBUTES,
ui_mode=ui_mode)
if mcdist_qv is None or mmax_qv is None:
error_msg = "Recurrence: could not determine mcdist or mmax for "\
"zone %s" % (feature.id())
if ui_mode is True:
QMessageBox.warning(None, "Recurrence Warning", error_msg)
else:
print error_msg
return None
else:
mmax = float(mmax_qv.toDouble()[0])
mcdist = str(mcdist_qv.toString())
## moment rate from activity (RM)
# a and b value from FBZ
# cut catalog with depth constraint
cat_cut = QPCatalog.QPCatalog()
cat_cut.merge(catalog)
cat_cut.cut(mindepth=mindepth, maxdepth=maxdepth)
activity_fbz = atticivy.computeActivityAtticIvy((fbz_poly, ), (mmax, ),
(mcdist, ),
cat_cut,
mmin=mmin,
ui_mode=ui_mode)
activity['fbz'] = {
'ID': fbz_id,
'area': fbz_area,
'activity': activity_fbz[0]
}
# get separate catalogs below and above magnitude threshold
cat_below_threshold = QPCatalog.QPCatalog()
cat_below_threshold.merge(cat_cut)
cat_below_threshold.cut(maxmag=m_threshold, maxmag_excl=True)
cat_above_threshold = QPCatalog.QPCatalog()
cat_above_threshold.merge(cat_cut)
cat_above_threshold.cut(minmag=m_threshold, maxmag_excl=False)
activity_below_threshold = atticivy.computeActivityAtticIvy(
(fbz_poly, ), (mmax, ), (mcdist, ),
cat_below_threshold,
mmin=mmin,
ui_mode=ui_mode)
activity['fbz_below'] = {
'ID': fbz_id,
'area': fbz_area,
'activity': activity_below_threshold[0]
}
activity_above_threshold = atticivy.computeActivityAtticIvy(
(fbz_poly, ), (mmax, ), (mcdist, ),
cat_above_threshold,
mmin=mmin,
ui_mode=ui_mode)
activity['fbz_above'] = {
'ID': fbz_id,
'area': fbz_area,
'activity': activity_above_threshold[0]
}
# a and b value on buffer zone
activity_bz = atticivy.computeActivityAtticIvy((bz_poly, ), (mmax, ),
(mcdist, ),
cat_cut,
mmin,
ui_mode=ui_mode)
activity['bz'] = {'area': bz_area, 'activity': activity_bz[0]}
activity['background'] = {'mmax': mmax, 'mcdist': mcdist}
return activity
def updateDataFaultBackgr(cls, feature,
m_threshold=recurrence.FAULT_BACKGROUND_MAG_THRESHOLD):
"""Update or compute moment rates for selected feature of fault background
zone layer.
Input:
feature QGis polygon feature from fault background zone layer
Output:
parameters dict of computed parameters
"""
provider = cls.fault_background_layer.dataProvider()
provider_fault = cls.fault_source_layer.dataProvider()
provider_area = cls.area_source_layer.dataProvider()
provider_back = cls.background_zone_layer.dataProvider()
parameters = {}
# get Shapely polygon from feature geometry
polylist, vertices = utils.polygonsQGS2Shapely((feature,))
poly = polylist[0]
# get polygon area in square kilometres
parameters['area_background_sqkm'] = \
utils.polygonAreaFromWGS84(poly) * 1.0e-6
# get mmax and mcdist for FBZ from background zone
(mcdist_qv, mmax_qv) = areasource.getAttributesFromBackgroundZones(
poly.centroid, provider_back, areasource.MCDIST_MMAX_ATTRIBUTES)
mmax = float(mmax_qv.toDouble()[0])
mcdist = str(mcdist_qv.toString())
parameters['mmax'] = mmax
## moment rate from EQs
# get quakes from catalog (cut with fault background zone polygon)
poly_cat = QPCatalog.QPCatalog()
poly_cat.merge(cls.catalog)
poly_cat.cut(geometry=poly)
# cut catalog with min/max depth according to UI spinboxes
(mindepth, maxdepth) = eqcatalog.getMinMaxDepth(cls)
poly_cat.cut(mindepth=mindepth, maxdepth=maxdepth)
parameters['eq_count'] = poly_cat.size()
# sum up moment from quakes (converted from Mw with Kanamori eq.)
magnitudes = []
for ev in poly_cat.eventParameters.event:
mag = ev.getPreferredMagnitude()
magnitudes.append(mag.mag.value)
moment = numpy.array(momentrate.magnitude2moment(magnitudes))
# scale moment: per year and area (in km^2)
parameters['mr_eq'] = moment.sum() / (
parameters['area_background_sqkm'] * cls.catalog_time_span[0])
## moment rate from activity (RM)
parameters['activity_mmin'] = atticivy.ATTICIVY_MMIN
activity = atticivy.computeActivityAtticIvy(
(poly, ), (mmax, ), (mcdist, ), cls.catalog,
mmin=parameters['activity_mmin'])
# get RM (a, b) values from feature attribute
activity_str_a = activity[0][3]
activity_arr_a = activity_str_a.strip().split()
activity_str_b = activity[0][4]
activity_arr_b = activity_str_b.strip().split()
# ignore weights
activity_a = [float(x) for x in activity_arr_a]
activity_b = [float(x) for x in activity_arr_b]
parameters['activity_a'] = activity_a
parameters['activity_b'] = activity_b
a_values = activity_a
momentrates_arr = numpy.array(momentrate.momentrateFromActivity(
a_values, activity_b, mmax)) / cls.catalog_time_span[0]
parameters['mr_activity'] = momentrates_arr.tolist()
# get separate catalogs below and above magnitude threshold
cat_below_threshold = QPCatalog.QPCatalog()
cat_below_threshold.merge(poly_cat)
cat_below_threshold.cut(maxmag=m_threshold, maxmag_excl=True)
parameters['eq_count_below'] = cat_below_threshold.size()
cat_above_threshold = QPCatalog.QPCatalog()
cat_above_threshold.merge(poly_cat)
cat_above_threshold.cut(minmag=m_threshold, maxmag_excl=False)
parameters['eq_count_above'] = cat_above_threshold.size()
activity_below_threshold = atticivy.computeActivityAtticIvy(
(poly,), (mmax,), (mcdist,), cat_below_threshold,
mmin=parameters['activity_mmin'])
activity_above_threshold = atticivy.computeActivityAtticIvy(
(poly,), (mmax,), (mcdist,), cat_above_threshold,
mmin=parameters['activity_mmin'])
# get RM (weight, a, b) values from feature attribute
activity_below_str_a = activity_below_threshold[0][3]
activity_below_arr_a = activity_below_str_a.strip().split()
activity_below_str_b = activity_below_threshold[0][4]
activity_below_arr_b = activity_below_str_b.strip().split()
activity_above_str_a = activity_above_threshold[0][3]
activity_above_arr_a = activity_above_str_a.strip().split()
activity_above_str_b = activity_above_threshold[0][4]
activity_above_arr_b = activity_above_str_b.strip().split()
# ignore weights
activity_below_a = [float(x) for x in activity_below_arr_a]
activity_below_b = [float(x) for x in activity_below_arr_b]
activity_above_a = [float(x) for x in activity_above_arr_a]
activity_above_b = [float(x) for x in activity_above_arr_b]
a_values_below = activity_below_a
momentrates_below_arr = numpy.array(momentrate.momentrateFromActivity(
a_values_below, activity_below_b, mmax)) / cls.catalog_time_span[0]
a_values_above = activity_above_a
momentrates_above_arr = numpy.array(momentrate.momentrateFromActivity(
a_values_above, activity_above_b, mmax)) / cls.catalog_time_span[0]
parameters['activity_below_a'] = activity_below_a
parameters['activity_below_b'] = activity_below_b
parameters['activity_above_a'] = activity_above_a
parameters['activity_above_b'] = activity_above_b
parameters['mr_activity_below'] = momentrates_below_arr.tolist()
parameters['mr_activity_above'] = momentrates_above_arr.tolist()
parameters['activity_m_threshold'] = m_threshold
# FMD from quakes in FBZ
cls.feature_data_fault_background['fmd'] = fmd.computeZoneFMD(cls,
feature, poly_cat)
(parameters['ml_a'], parameters['ml_b'], parameters['ml_mc'],
parameters['ml_magctr']) = fmd.getFMDValues(
cls.feature_data_fault_background['fmd'])
## moment rate from slip rate
sliprate_min_name = features.FAULT_SOURCE_ATTR_SLIPRATE_MIN['name']
sliprate_max_name = features.FAULT_SOURCE_ATTR_SLIPRATE_MAX['name']
attribute_map = utils.getAttributeIndex(provider_fault,
(features.FAULT_SOURCE_ATTR_SLIPRATE_MIN,
features.FAULT_SOURCE_ATTR_SLIPRATE_MAX), create=False)
moment_rate_min = 0.0
moment_rate_max = 0.0
parameters['area_fault_sqkm'] = 0.0
parameters['fault_count'] = 0
provider_fault.rewind()
for fault in provider_fault:
fault_poly, vertices = utils.polygonsQGS2Shapely((fault,))
if fault_poly[0].intersects(poly):
parameters['fault_count'] += 1
sliprate_min = \
fault[attribute_map[sliprate_min_name][0]].toDouble()[0]
sliprate_max = \
fault[attribute_map[sliprate_max_name][0]].toDouble()[0]
area_fault = utils.polygonAreaFromWGS84(fault_poly[0])
# TODO(fab): correct scaling of moment rate from slip rate
(rate_min, rate_max) = momentrate.momentrateFromSlipRate(
sliprate_min, sliprate_max, area_fault)
moment_rate_min += rate_min
moment_rate_max += rate_max
parameters['area_fault_sqkm'] += area_fault
moment_rate_min /= cls.catalog_time_span[0]
moment_rate_max /= cls.catalog_time_span[0]
parameters['mr_slip'] = [moment_rate_min, moment_rate_max]
parameters['area_fault_sqkm'] *= 1.0e-6
## moment rate from geodesy (strain)
momentrate_strain_barba = momentrate.momentrateFromStrainRateBarba(
poly, cls.data.strain_rate_barba,
cls.data.deformation_regimes_bird)
parameters['mr_strain_barba'] = momentrate_strain_barba / (
cls.catalog_time_span[0])
momentrate_strain_bird = momentrate.momentrateFromStrainRateBird(poly,
cls.data.strain_rate_bird, cls.data.deformation_regimes_bird)
parameters['mr_strain_bird'] = momentrate_strain_bird / (
cls.catalog_time_span[0])
return parameters
def computeActivityFromBackground(feature, layer_fault_background,
layer_background, catalog, mmin=atticivy.ATTICIVY_MMIN,
m_threshold=FAULT_BACKGROUND_MAG_THRESHOLD,
mindepth=eqcatalog.CUT_DEPTH_MIN, maxdepth=eqcatalog.CUT_DEPTH_MAX,
ui_mode=True):
"""Compute activity parameters a and b for (i) fault background zone, and
(ii) from buffer zone around fault zone.
Input:
feature fault source zone
layer_fault_background
layer_background
catalog
mmin
Output:
TODO(fab)
"""
activity = {}
provider_fault_back = layer_fault_background.dataProvider()
provider_back = layer_background.dataProvider()
# get Shapely polygon from fault zone feature geometry
polylist, vertices = utils.polygonsQGS2Shapely((feature,))
try:
fault_poly = polylist[0]
except IndexError:
error_msg = "Background activity: invalid FSZ geometry, id %s" % (
feature.id())
if ui_mode is True:
QMessageBox.warning(None, "FSZ Warning", error_msg)
else:
print error_msg
return None
# get buffer zone around fault zone (convert buffer distance to degrees)
(bz_poly, bz_area) = utils.computeBufferZone(fault_poly,
momentrate.BUFFER_AROUND_FAULT_ZONE_KM)
# find fault background zone in which centroid of fault zone lies
# NOTE: this can yield a wrong background zone if the fault zone
# is curved and at the edge of background zone.
# TODO(fab): use GIS "within" function instead, but note that fault
# zone can overlap several BG zones
(fbz, fbz_poly, fbz_area) = utils.findBackgroundZone(fault_poly.centroid,
provider_fault_back, ui_mode=ui_mode)
if fbz is None:
error_msg = "Recurrence: could not determine FBZ for zone %s" % (
feature.id())
if ui_mode is True:
QMessageBox.warning(None, "Recurrence Warning", error_msg)
else:
print error_msg
fbz_id = None
else:
attribute_map_fbz = utils.getAttributeIndex(provider_fault_back,
(features.FAULT_BACKGROUND_ATTR_ID,), create=False)
# get fault background zone ID
id_name = features.FAULT_BACKGROUND_ATTR_ID['name']
fbz_id = int(fbz[attribute_map_fbz[id_name][0]].toDouble()[0])
# get mmax and mcdist for FBZ from background zone
(mcdist_qv, mmax_qv) = areasource.getAttributesFromBackgroundZones(
fbz_poly.centroid, provider_back, areasource.MCDIST_MMAX_ATTRIBUTES,
ui_mode=ui_mode)
if mcdist_qv is None or mmax_qv is None:
error_msg = "Recurrence: could not determine mcdist or mmax for "\
"zone %s" % (feature.id())
if ui_mode is True:
QMessageBox.warning(None, "Recurrence Warning", error_msg)
else:
print error_msg
return None
else:
mmax = float(mmax_qv.toDouble()[0])
mcdist = str(mcdist_qv.toString())
## moment rate from activity (RM)
# a and b value from FBZ
# cut catalog with depth constraint
cat_cut = QPCatalog.QPCatalog()
cat_cut.merge(catalog)
cat_cut.cut(mindepth=mindepth, maxdepth=maxdepth)
activity_fbz = atticivy.computeActivityAtticIvy((fbz_poly,), (mmax,),
(mcdist,), cat_cut, mmin=mmin, ui_mode=ui_mode)
activity['fbz'] = {'ID': fbz_id, 'area': fbz_area,
'activity': activity_fbz[0]}
# get separate catalogs below and above magnitude threshold
cat_below_threshold = QPCatalog.QPCatalog()
cat_below_threshold.merge(cat_cut)
cat_below_threshold.cut(maxmag=m_threshold, maxmag_excl=True)
cat_above_threshold = QPCatalog.QPCatalog()
cat_above_threshold.merge(cat_cut)
cat_above_threshold.cut(minmag=m_threshold, maxmag_excl=False)
activity_below_threshold = atticivy.computeActivityAtticIvy(
(fbz_poly,), (mmax,), (mcdist,), cat_below_threshold, mmin=mmin,
ui_mode=ui_mode)
activity['fbz_below'] = {'ID': fbz_id, 'area': fbz_area,
'activity': activity_below_threshold[0]}
activity_above_threshold = atticivy.computeActivityAtticIvy(
(fbz_poly,), (mmax,), (mcdist,), cat_above_threshold, mmin=mmin,
ui_mode=ui_mode)
activity['fbz_above'] = {'ID': fbz_id, 'area': fbz_area,
'activity': activity_above_threshold[0]}
# a and b value on buffer zone
activity_bz = atticivy.computeActivityAtticIvy((bz_poly,), (mmax,),
(mcdist,), cat_cut, mmin, ui_mode=ui_mode)
activity['bz'] = {'area': bz_area, 'activity': activity_bz[0]}
activity['background'] = {'mmax': mmax, 'mcdist': mcdist}
return activity
def updateDataFaultBackgr(cls,
feature,
m_threshold=recurrence.FAULT_BACKGROUND_MAG_THRESHOLD
):
"""Update or compute moment rates for selected feature of fault background
zone layer.
Input:
feature QGis polygon feature from fault background zone layer
Output:
parameters dict of computed parameters
"""
provider = cls.fault_background_layer.dataProvider()
provider_fault = cls.fault_source_layer.dataProvider()
provider_area = cls.area_source_layer.dataProvider()
provider_back = cls.background_zone_layer.dataProvider()
parameters = {}
# get Shapely polygon from feature geometry
polylist, vertices = utils.polygonsQGS2Shapely((feature, ))
poly = polylist[0]
# get polygon area in square kilometres
parameters['area_background_sqkm'] = \
utils.polygonAreaFromWGS84(poly) * 1.0e-6
# get mmax and mcdist for FBZ from background zone
(mcdist_qv, mmax_qv) = areasource.getAttributesFromBackgroundZones(
poly.centroid, provider_back, areasource.MCDIST_MMAX_ATTRIBUTES)
mmax = float(mmax_qv.toDouble()[0])
mcdist = str(mcdist_qv.toString())
parameters['mmax'] = mmax
## moment rate from EQs
# get quakes from catalog (cut with fault background zone polygon)
poly_cat = QPCatalog.QPCatalog()
poly_cat.merge(cls.catalog)
poly_cat.cut(geometry=poly)
# cut catalog with min/max depth according to UI spinboxes
(mindepth, maxdepth) = eqcatalog.getMinMaxDepth(cls)
poly_cat.cut(mindepth=mindepth, maxdepth=maxdepth)
parameters['eq_count'] = poly_cat.size()
# sum up moment from quakes (converted from Mw with Kanamori eq.)
magnitudes = []
for ev in poly_cat.eventParameters.event:
mag = ev.getPreferredMagnitude()
magnitudes.append(mag.mag.value)
moment = numpy.array(momentrate.magnitude2moment(magnitudes))
# scale moment: per year and area (in km^2)
parameters['mr_eq'] = moment.sum() / (parameters['area_background_sqkm'] *
cls.catalog_time_span[0])
## moment rate from activity (RM)
parameters['activity_mmin'] = atticivy.ATTICIVY_MMIN
activity = atticivy.computeActivityAtticIvy(
(poly, ), (mmax, ), (mcdist, ),
cls.catalog,
mmin=parameters['activity_mmin'])
# get RM (a, b) values from feature attribute
activity_str_a = activity[0][3]
activity_arr_a = activity_str_a.strip().split()
activity_str_b = activity[0][4]
activity_arr_b = activity_str_b.strip().split()
# ignore weights
activity_a = [float(x) for x in activity_arr_a]
activity_b = [float(x) for x in activity_arr_b]
parameters['activity_a'] = activity_a
parameters['activity_b'] = activity_b
a_values = activity_a
momentrates_arr = numpy.array(
momentrate.momentrateFromActivity(a_values, activity_b,
mmax)) / cls.catalog_time_span[0]
parameters['mr_activity'] = momentrates_arr.tolist()
# get separate catalogs below and above magnitude threshold
cat_below_threshold = QPCatalog.QPCatalog()
cat_below_threshold.merge(poly_cat)
cat_below_threshold.cut(maxmag=m_threshold, maxmag_excl=True)
parameters['eq_count_below'] = cat_below_threshold.size()
cat_above_threshold = QPCatalog.QPCatalog()
cat_above_threshold.merge(poly_cat)
cat_above_threshold.cut(minmag=m_threshold, maxmag_excl=False)
parameters['eq_count_above'] = cat_above_threshold.size()
activity_below_threshold = atticivy.computeActivityAtticIvy(
(poly, ), (mmax, ), (mcdist, ),
cat_below_threshold,
mmin=parameters['activity_mmin'])
activity_above_threshold = atticivy.computeActivityAtticIvy(
(poly, ), (mmax, ), (mcdist, ),
cat_above_threshold,
mmin=parameters['activity_mmin'])
# get RM (weight, a, b) values from feature attribute
activity_below_str_a = activity_below_threshold[0][3]
activity_below_arr_a = activity_below_str_a.strip().split()
activity_below_str_b = activity_below_threshold[0][4]
activity_below_arr_b = activity_below_str_b.strip().split()
activity_above_str_a = activity_above_threshold[0][3]
activity_above_arr_a = activity_above_str_a.strip().split()
activity_above_str_b = activity_above_threshold[0][4]
activity_above_arr_b = activity_above_str_b.strip().split()
# ignore weights
activity_below_a = [float(x) for x in activity_below_arr_a]
activity_below_b = [float(x) for x in activity_below_arr_b]
activity_above_a = [float(x) for x in activity_above_arr_a]
activity_above_b = [float(x) for x in activity_above_arr_b]
a_values_below = activity_below_a
momentrates_below_arr = numpy.array(
momentrate.momentrateFromActivity(a_values_below, activity_below_b,
mmax)) / cls.catalog_time_span[0]
a_values_above = activity_above_a
momentrates_above_arr = numpy.array(
momentrate.momentrateFromActivity(a_values_above, activity_above_b,
mmax)) / cls.catalog_time_span[0]
parameters['activity_below_a'] = activity_below_a
parameters['activity_below_b'] = activity_below_b
parameters['activity_above_a'] = activity_above_a
parameters['activity_above_b'] = activity_above_b
parameters['mr_activity_below'] = momentrates_below_arr.tolist()
parameters['mr_activity_above'] = momentrates_above_arr.tolist()
parameters['activity_m_threshold'] = m_threshold
# FMD from quakes in FBZ
cls.feature_data_fault_background['fmd'] = fmd.computeZoneFMD(
cls, feature, poly_cat)
(parameters['ml_a'], parameters['ml_b'], parameters['ml_mc'],
parameters['ml_magctr']) = fmd.getFMDValues(
cls.feature_data_fault_background['fmd'])
## moment rate from slip rate
sliprate_min_name = features.FAULT_SOURCE_ATTR_SLIPRATE_MIN['name']
sliprate_max_name = features.FAULT_SOURCE_ATTR_SLIPRATE_MAX['name']
attribute_map = utils.getAttributeIndex(
provider_fault, (features.FAULT_SOURCE_ATTR_SLIPRATE_MIN,
features.FAULT_SOURCE_ATTR_SLIPRATE_MAX),
create=False)
moment_rate_min = 0.0
moment_rate_max = 0.0
parameters['area_fault_sqkm'] = 0.0
parameters['fault_count'] = 0
provider_fault.rewind()
for fault in provider_fault:
fault_poly, vertices = utils.polygonsQGS2Shapely((fault, ))
if fault_poly[0].intersects(poly):
parameters['fault_count'] += 1
sliprate_min = \
fault[attribute_map[sliprate_min_name][0]].toDouble()[0]
sliprate_max = \
fault[attribute_map[sliprate_max_name][0]].toDouble()[0]
area_fault = utils.polygonAreaFromWGS84(fault_poly[0])
# TODO(fab): correct scaling of moment rate from slip rate
(rate_min, rate_max) = momentrate.momentrateFromSlipRate(
sliprate_min, sliprate_max, area_fault)
moment_rate_min += rate_min
moment_rate_max += rate_max
parameters['area_fault_sqkm'] += area_fault
moment_rate_min /= cls.catalog_time_span[0]
moment_rate_max /= cls.catalog_time_span[0]
parameters['mr_slip'] = [moment_rate_min, moment_rate_max]
parameters['area_fault_sqkm'] *= 1.0e-6
## moment rate from geodesy (strain)
momentrate_strain_barba = momentrate.momentrateFromStrainRateBarba(
poly, cls.data.strain_rate_barba, cls.data.deformation_regimes_bird)
parameters['mr_strain_barba'] = momentrate_strain_barba / (
cls.catalog_time_span[0])
momentrate_strain_bird = momentrate.momentrateFromStrainRateBird(
poly, cls.data.strain_rate_bird, cls.data.deformation_regimes_bird)
parameters['mr_strain_bird'] = momentrate_strain_bird / (
cls.catalog_time_span[0])
return parameters