Contour Plot

Seismic Intensity Map

Earthquake ground motion showing seismic wave attenuation from epicenter.

Output
Seismic Intensity Map
Python
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

# Create grid
x = np.linspace(0, 200, 250)
y = np.linspace(0, 200, 250)
X, Y = np.meshgrid(x, y)

# Epicenter
epi_x, epi_y = 60, 80
R = np.sqrt((X - epi_x)**2 + (Y - epi_y)**2)
R = np.maximum(R, 1)

# Seismic intensity with directional effects
angle = np.arctan2(Y - epi_y, X - epi_x)
directivity = 1 + 0.3 * np.cos(2 * (angle - np.pi/4))
I = 10 * directivity / (1 + R/20) * np.exp(-R/80)
I = np.clip(I, 0, 10)

# Seismic fire theme
plt.style.use('dark_background')
fig, ax = plt.subplots(figsize=(10, 8))
fig.patch.set_facecolor('#100808')
ax.set_facecolor('#100808')

# Custom colormap - seismic fire
colors = ['#100808', '#200a0a', '#400a0a', '#601010', '#802020', 
          '#a04020', '#c06020', '#e08020', '#ffa040', '#ffcc60', '#ffff90']
cmap = LinearSegmentedColormap.from_list('seismic_fire', colors, N=256)

# Filled contour
cf = ax.contourf(X, Y, I, levels=22, cmap=cmap)

# Isoseismal lines
cs = ax.contour(X, Y, I, levels=[2, 4, 6, 8], colors='white', linewidths=0.8, alpha=0.5)
ax.clabel(cs, inline=True, fontsize=9, fmt='MMI %.0f', colors='white')

# Epicenter with glow
ax.scatter([epi_x], [epi_y], color='#ff0000', s=400, marker='*', zorder=6,
           edgecolors='white', linewidths=2)
ax.scatter([epi_x], [epi_y], color='#ff0000', s=800, marker='*', zorder=5, alpha=0.3)

# Fault line
ax.plot([40, 80], [100, 60], '--', color='#ff6666', linewidth=2.5, alpha=0.8)

# Styled colorbar
cbar = plt.colorbar(cf, ax=ax, pad=0.02, shrink=0.85)
cbar.ax.set_facecolor('#100808')
cbar.set_label('Modified Mercalli Intensity', fontsize=11, color='#ffc0a0', labelpad=10)
cbar.ax.yaxis.set_tick_params(color='#ffc0a0')
cbar.outline.set_edgecolor('#402020')
plt.setp(plt.getp(cbar.ax.axes, 'yticklabels'), color='#ffc0a0', fontsize=9)

# Labels
ax.set_xlabel('Distance East (km)', fontsize=13, color='#ffc0a0', fontweight='600', labelpad=10)
ax.set_ylabel('Distance North (km)', fontsize=13, color='#ffc0a0', fontweight='600', labelpad=10)
ax.set_title('Seismic Intensity Map - M6.5 Event', fontsize=16, color='white', 
             fontweight='bold', pad=20)

# Style axes
ax.tick_params(colors='#d0a080', labelsize=10, length=0)
for spine in ax.spines.values():
    spine.set_visible(False)

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Pairwise Data

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