def test_velocities(self):
gsrm = tectonics.GSRM1()
lats, lons, vnorth, veast, vnorth_err, veast_err, corr = \
gsrm.get_velocities('AF', region=(20, 30, 0., 10.))
assert 0.0 < num.mean(num.sqrt(veast**2 + vnorth**2)) < 0.01
assert_allclose(
[lats.min(), lats.max(), lons.min(), lons.max()],
[0., 10., 20., 30.], atol=1e-5)
assert gsrm.full_name('NU') == 'African Plate'
assert 'EU' in gsrm.plate_names()
def draw_plates(self):
from pyrocko.dataset import tectonics
neast = 20
nnorth = max(1, int(round(num.round(self._hreg/self._wreg * neast))))
norths = num.linspace(-self._hreg*0.5, self._hreg*0.5, nnorth)
easts = num.linspace(-self._wreg*0.5, self._wreg*0.5, neast)
norths2 = num.repeat(norths, neast)
easts2 = num.tile(easts, nnorth)
lats, lons = od.ne_to_latlon(
self.lat, self.lon, norths2, easts2)
bird = tectonics.PeterBird2003()
plates = bird.get_plates()
color_plates = gmtpy.color('aluminium5')
color_velocities = gmtpy.color('skyblue1')
color_velocities_lab = gmtpy.color(darken(gmtpy.color_tup('skyblue1')))
points = num.vstack((lats, lons)).T
used = []
for plate in plates:
mask = plate.contains_points(points)
if num.any(mask):
used.append((plate, mask))
if len(used) > 1:
candi_fixed = {}
label_data = []
for plate, mask in used:
mean_north = num.mean(norths2[mask])
mean_east = num.mean(easts2[mask])
iorder = num.argsort(num.sqrt(
(norths2[mask] - mean_north)**2 +
(easts2[mask] - mean_east)**2))
lat_candis = lats[mask][iorder]
lon_candis = lons[mask][iorder]
candi_fixed[plate.name] = lat_candis.size
label_data.append((
lat_candis, lon_candis, plate, color_plates))
boundaries = bird.get_boundaries()
size = 2
psxy_kwargs = []
for boundary in boundaries:
if num.any(points_in_region(boundary.points, self._wesn)):
for typ, part in boundary.split_types(
[['SUB'],
['OSR', 'OTF', 'OCB', 'CTF', 'CCB', 'CRB']]):
lats, lons = part.T
kwargs = {}
if typ[0] == 'SUB':
if boundary.kind == '\\':
kwargs['S'] = 'f%g/%gp+t+r' % (
0.45*size, 3.*size)
elif boundary.kind == '/':
kwargs['S'] = 'f%g/%gp+t+l' % (
0.45*size, 3.*size)
kwargs['G'] = color_plates
kwargs['in_columns'] = (lons, lats)
kwargs['W'] = '%gp,%s' % (size, color_plates),
psxy_kwargs.append(kwargs)
if boundary.kind == '\\':
if boundary.name2 in candi_fixed:
candi_fixed[boundary.name2] += neast*nnorth
elif boundary.kind == '/':
if boundary.name1 in candi_fixed:
candi_fixed[boundary.name1] += neast*nnorth
candi_fixed = [name for name in sorted(
list(candi_fixed.keys()), key=lambda name: -candi_fixed[name])]
candi_fixed.append(None)
gsrm = tectonics.GSRM1()
for name in candi_fixed:
if name not in gsrm.plate_names() \
and name not in gsrm.plate_alt_names():
continue
lats, lons, vnorth, veast, vnorth_err, veast_err, corr = \
gsrm.get_velocities(name, region=self._wesn)
fixed_plate_name = name
self.gmt.psvelo(
in_columns=(
lons, lats, veast, vnorth, veast_err, vnorth_err,
corr),
W='0.25p,%s' % color_velocities,
A='9p+e+g%s' % color_velocities,
S='e0.2p/0.95/10',
*self.jxyr)
for _ in range(len(lons) // 50 + 1):
ii = random.randint(0, len(lons)-1)
v = math.sqrt(vnorth[ii]**2 + veast[ii]**2)
self.add_label(
lats[ii], lons[ii], '%.0f' % v,
font_size=0.7*self.gmt.label_font_size(),
style=dict(
G=color_velocities_lab))
break
for (lat_candis, lon_candis, plate, color) in label_data:
full_name = bird.full_name(plate.name)
if plate.name == fixed_plate_name:
full_name = '@_' + full_name + '@_'
self.add_area_label(
lat_candis, lon_candis,
full_name,
color=color,
font='3')
for kwargs in psxy_kwargs:
self.gmt.psxy(*self.jxyr, **kwargs)
