im = ax.pcolormesh(x_plot / 1000,
y_plot / 1000,
plot_map,
cmap="CMRmap",
vmin=0.6,
vmax=0.95)
ax.set_xlabel("Easting (m)")
ax.set_ylabel("Northing (m)")
ax.scatter(
d_obj.station_locations.rel_east / 1000,
d_obj.station_locations.rel_north / 1000,
marker="v",
s=12,
c="k",
)
ax.set_xlim((-8, 8))
ax.set_ylim((-8, 8))
plt.colorbar(im, ax=ax)
plt.show()
array2raster.array2raster(
r"c:\Users\jpeacock\OneDrive - DOI\Geysers\steam_map.tif",
(-122.96702 + 0.026, 38.732042 + 0.023),
200,
200,
np.log10(c_map),
)
### make equally spaced points on regular grid
x_new = np.linspace(east.min(), east.max(), num=(east.max() - east.min()) / d)
y_new = np.linspace(north.min(),
north.max(),
num=(north.max() - north.min()) / d)
xg, yg = np.meshgrid(x_new, y_new)
### interpolate the data onto a regular grid
basement = interpolate.griddata((east, north),
-1 * a[2], (xg, yg),
method='cubic')
### make raster
b = array2raster.array2raster(fn[:-4] + '.tif', (lower_left[1], lower_left[0]),
d, d, basement)
### make a point cloud
x0, y0, z0 = gis_tools.project_point_ll2utm(model_center[0],
model_center[1],
epsg=data_epsg)
x = (north.copy() - y0) / 1000.
y = (east.copy() - x0) / 1000.
z = -1 * a[2].copy()
pointsToVTK(fn[0:-4], x, y, z, {'depth': z})
fig = plt.figure(2)
fig.clf()
ax = fig.add_subplot(1, 1, 1, aspect='equal')
im = ax.pcolormesh(xg, yg, basement, cmap='viridis', vmin=0, vmax=3.00)
ax = fig.add_subplot(1, 3, 1 + ii, aspect="equal")
im = ax.pcolormesh(
gx,
gy,
conductance,
cmap="gnuplot2",
)
# vmin=conductance[pad:-pad, pad:-pad].min(),
# vmax=conductance[pad:-pad, pad:-pad].max())
ax.scatter(d.station_locations.rel_east,
d.station_locations.rel_north,
marker="v",
s=20)
ax.set_xlim((m.grid_east[pad], m.grid_east[-pad]))
ax.set_ylim((m.grid_north[pad], m.grid_north[-pad]))
cb = plt.colorbar(im, ax=ax, shrink=0.35)
array2raster.array2raster(
Path(m.save_path).joinpath(
f"canv_conductance_impedance_{key}.tiff").as_posix(),
(lower_left[0], lower_left[1]),
8000.0,
8000.0,
conductance[pad:-pad, pad:-pad],
)
plt.show()
ii = np.where(north == line[1])[0][0]
jj = np.where(east == line[0])[0][0]
kk = np.where(depth == line[4])[0][0]
vp_arr['vp'][ii, jj, kk] = line[5]
vp_arr['per_vp'][ii, jj, kk] = line[6]
vp_arr['dvp'][ii, jj, kk] = line[7]
ll_corner = (lon.min(), lat.min())
for ii, dd in enumerate(depth):
if ii % 2 == 1:
continue
a2r.array2raster(
os.path.join(sv_path,
'waite_vp_{0:0.0f}km_wgs84.tif'.format(dd - depth.min())),
ll_corner, 500., 500, vp_arr['vp'][:, :, ii])
#vtk_east = np.append(east, east[-1]*1)
#vtk_north = np.append(north, north[-1]*1)
#vtk_depth = np.append(depth, depth[-1]*1)
##vtk_east = east
##vtk_north = north
##vtk_depth = depth
#
#vtk_vp = vp_arr['vp'].T
#vtk_per_vp = vp_arr['per_vp'].T
#vtk_dvp = vp_arr['dvp'].T
#
#a2vtk.gridToVTK(r"c:\Users\jpeacock\Documents\iMush\waite_vp",
# vtk_north, vtk_east, vtk_depth,
num=(a['easting'].max() - a['easting'].min()) / d)
y_new = np.linspace(a['northing'].min(),
a['northing'].max(),
num=(a['northing'].max() - a['northing'].min()) / d)
xg, yg = np.meshgrid(x_new, y_new)
### interpolate the data onto a regular grid
basement = interpolate.griddata((a['easting'], a['northing']),
a['mag'], (xg, yg),
method='linear')
### make raster
b = array2raster.array2raster(fn[:-4] + '.tif',
lower_left,
d,
d,
basement,
projection='NAD83')
### make a point cloud
x0, y0, z0 = gis_tools.project_point_ll2utm(model_center[0],
model_center[1],
epsg=data_epsg)
x = (a['northing'].copy() - y0) / 1000.
y = (a['easting'].copy() - x0) / 1000.
z = a['mag'].copy() / np.abs(a['mag']).max()
pointsToVTK(fn[0:-4], x, y, z, {'mag': z})
fig = plt.figure(1)
fig.clf()
vmax=conductance[pad:-pad, pad:-pad].max(),
)
ax.scatter(d.station_locations.rel_east,
d.station_locations.rel_north,
marker="v",
s=20)
print(conductance[pad:-pad, pad:-pad].min(), conductance[pad:-pad,
pad:-pad].max())
ax.set_xlim((m.grid_east[pad], m.grid_east[-pad]))
ax.set_ylim((m.grid_north[pad], m.grid_north[-pad]))
cb = plt.colorbar(im, ax=ax, shrink=0.35)
array2raster.array2raster(
r"c:\Users\jpeacock\OneDrive - DOI\Geothermal\GraniteSprings\modem_inv\inv_03\1d_conductance_{0}.tif"
.format(key),
(-119.052319, 40.179765000000003),
300.0,
300.0,
conductance[pad:-pad, pad:-pad],
)
# array2raster.array2raster(r"c:\Users\jpeacock\OneDrive - DOI\Geothermal\Umatilla\modem_inv\inv_09\conductance_{0}_crust.tiff".format(key),
# model_center,
# 166.,
# 110.,
# conductance[pad:-pad, pad:-pad])
plt.show()
kk = np.where(depth == line[4])[0][0]
vp_arr["vp"][ii, jj, kk] = line[5]
vp_arr["per_vp"][ii, jj, kk] = line[6]
vp_arr["dvp"][ii, jj, kk] = line[7]
ll_corner = (lon.min(), lat.min())
for ii, dd in enumerate(depth):
if ii % 2 == 1:
continue
a2r.array2raster(
os.path.join(sv_path, "waite_vp_{0:0.0f}km_wgs84.tif".format(dd - depth.min())),
ll_corner,
500.0,
500,
vp_arr["vp"][:, :, ii],
)
# vtk_east = np.append(east, east[-1]*1)
# vtk_north = np.append(north, north[-1]*1)
# vtk_depth = np.append(depth, depth[-1]*1)
##vtk_east = east
##vtk_north = north
##vtk_depth = depth
#
# vtk_vp = vp_arr['vp'].T
# vtk_per_vp = vp_arr['per_vp'].T
# vtk_dvp = vp_arr['dvp'].T
a["northing"].min(),
a["northing"].max(),
num=(a["northing"].max() - a["northing"].min()) / d,
)
xg, yg = np.meshgrid(x_new, y_new)
### interpolate the data onto a regular grid
basement = interpolate.griddata((a["easting"], a["northing"]),
a["mag"], (xg, yg),
method="linear")
### make raster
b = array2raster.array2raster(fn[:-4] + ".tif",
lower_left,
d,
d,
basement,
projection="NAD83")
### make a point cloud
x0, y0, z0 = gis_tools.project_point_ll2utm(model_center[0],
model_center[1],
epsg=data_epsg)
x = (a["northing"].copy() - y0) / 1000.0
y = (a["easting"].copy() - x0) / 1000.0
z = a["mag"].copy() / np.abs(a["mag"]).max()
pointsToVTK(fn[0:-4], x, y, z, {"mag": z})
fig = plt.figure(1)
fig.clf()