def latlon_axis(ax, xbounds, ybounds, proj, latlon_step):
inv_latlon_step = 1.0 / latlon_step
lon_edges = collect_dem.project(xbounds, [ybounds[0]] * 2, [0, 0],
proj,
inverse=True)
min_lon = int(np.floor(lon_edges[0][0]))
max_lon = int(np.ceil(lon_edges[1][0]))
lon = np.linspace(min_lon, max_lon,
inv_latlon_step * (max_lon - min_lon) + 1)
lon_proj = collect_dem.project(lon, [lon_edges[0][1]] * len(lon),
[0] * len(lon), proj)
ax.set_xticks(lon_proj[:, 0])
ax.set_xticklabels(
['$\\mathrm{' + str(x) + '}^{\circ} ~ \mathrm{E}$' for x in lon])
ax.set_xlabel('$\\mathrm{Longitude}$')
lat_edges = collect_dem.project([xbounds[0]] * 2,
ybounds, [0, 0],
proj,
inverse=True)
min_lat = int(np.floor(lat_edges[0][1]))
max_lat = int(np.ceil(lat_edges[1][1]))
lat = np.linspace(min_lat, max_lat,
inv_latlon_step * (max_lat - min_lat) + 1)
lat_proj = collect_dem.project([lat_edges[0][0]] * len(lat), lat,
[0] * len(lat), proj)
ax.set_yticks(lat_proj[:, 1])
ax.set_yticklabels(
['$\\mathrm{' + str(y) + '}^{\circ} ~ \mathrm{N}$' for y in lat])
ax.set_ylabel('$\\mathrm{Latitude}$')
def build_proj_rotate(m, from_proj, to_proj):
all_pts = [m.pts.copy()]
for d in range(3):
moved = m.pts.copy()
moved[:, d] += 1.0
all_pts.append(moved)
all_pts = np.concatenate(all_pts)
lonlatz = collect_dem.project(all_pts[:, 0],
all_pts[:, 1],
all_pts[:, 2],
from_proj,
inverse=True)
to_coords = collect_dem.project(lonlatz[:, 0], lonlatz[:, 1],
lonlatz[:, 2], to_proj)
npts = m.pts.shape[0]
to_pts = to_coords[:npts]
from_to_dirs = [
to_coords[((d + 1) * npts):((d + 2) * npts)] - to_pts for d in range(3)
]
all_dirs = np.array(from_to_dirs)
dir_map = np.swapaxes(np.swapaxes(all_dirs, 0, 1), 1, 2)
dir_map[m.tris].shape
proj_rotate = scipy.sparse.dok_matrix((m.n_dofs(), m.n_dofs()))
dir_map_tris = dir_map[m.tris]
for i in range(m.tris.shape[0]):
for b in range(3):
for d1 in range(3):
for d2 in range(3):
proj_rotate[i * 9 + b * 3 + d1,
i * 9 + b * 3 + d2] = dir_map_tris[i, b, d1,
d2]
return proj_rotate
def set_surf_elevations(m, n_dem_interp_pts, zoom, proj):
surf_pt_idxs = m.get_pt_idxs('surf')
lonlat_pts = collect_dem.project(m.pts[:,0], m.pts[:,1], m.pts[:,2], proj, inverse = True)
bounds = collect_dem.get_dem_bounds(lonlat_pts)
proj_dem = collect_dem.project(*collect_dem.get_dem(zoom, bounds, n_dem_interp_pts), proj)
new_m = copy.copy(m)
new_m.pts[surf_pt_idxs,2] = scipy.interpolate.griddata(
(proj_dem[:,0], proj_dem[:,1]), proj_dem[:,2],
(m.pts[surf_pt_idxs,0], m.pts[surf_pt_idxs,1])
)
return new_m
def to_sphere_xyz(m, proj):
lonlatz = collect_dem.project(m.pts[:, 0],
m.pts[:, 1],
m.pts[:, 2],
proj,
inverse=True)
xyz_sphere = collect_dem.project(lonlatz[:, 0], lonlatz[:, 1],
lonlatz[:, 2], 'ellps')
m_xyz = copy.copy(m)
m_xyz.pts = xyz_sphere
return m_xyz
def moment_analysis(m, inverse_soln, proj):
slip = inverse_soln[0].reshape((-1, 2))
total_slip = np.sqrt(np.sum(slip**2, axis=1))
total_slip_m = total_slip / 100.0
from tectosaur.ops.mass_op import MassOp
fault_mass = MassOp(2, m.pts, m.get_tris('fault'))
tri_potency = fault_mass.dot(
np.concatenate(
(total_slip_m,
np.zeros(total_slip.shape[0] * 2))))[:total_slip.shape[0]]
potency = np.sum(tri_potency)
avg_tri_potency = np.sum(tri_potency.reshape((-1, 3)), axis=1)
mu = 30e9
M0 = potency * mu
M = magnitude(M0)
print('potency: ' + str(potency))
print('M0: ' + str(M0))
print('M: ' + str(M))
tri_centers = np.mean(m.get_tri_pts('fault'), axis=1)
tri_lonlat = collect_dem.project(tri_centers[:, 0],
tri_centers[:, 1],
tri_centers[:, 2],
proj,
inverse=True)
surf_elev = collect_dem.get_pt_elevations(tri_lonlat, 5)
tri_depth = surf_elev - tri_centers[:, 2]
avg_tri_moment = avg_tri_potency * mu
return tri_depth, avg_tri_moment
