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Welcome! Earth Inversion has 140+ in-depth tutorials. Rather than scrolling the archive, pick the path that matches where you’re coming from — each one is ordered from first steps to advanced topics.

🌍 I’m an earth scientist / student

Learn the computational side of seismology, from classic inversion to modern probabilistic methods.

1. Locating earthquakes with Geiger’s method — the classic algorithm behind hypocenter location
2. Monte Carlo methods and earthquake location — when the problem gets non-linear
3. Genetic algorithm: a robust inversion scheme — global optimization for geophysical problems
4. Probabilistic earthquake location with NonLinLoc — the modern, Bayesian way
5. Modern seismic monitoring systems — how it all fits together in real networks

Go deeper: seismic resolution, travel-time tomography, cross-correlation between seismograms.

💻 I’m a developer / data scientist

Use earth-science data as your playground — it’s open, global, and streams in real time.

1. Interactive maps with PyGMT: high-resolution topography — make your first beautiful earth-data plot
2. Reading NetCDF4 data in Python — the file format of climate and geoscience
3. Time-series filtering and smoothing — core signal-processing skills
4. Signal denoising with FFT — from noisy to clean in a few lines
5. SeismoAlert: a real-time earthquake monitoring toolkit — build a full monitoring pipeline

Go deeper: turn your computer into a home server, reading research papers with LLMs, PyTorch for geophysicists.

🧭 I’m curious about earthquakes

No code required to start — these explain the ideas.

1. Modern seismic monitoring systems — how the world watches for earthquakes, 24/7
2. Probabilistic earthquake location with NonLinLoc — how scientists pinpoint where an earthquake happened
3. Seismic resolution — what we can (and can’t) see inside the Earth
4. Check the live earthquake map on the home page — real events from the past 24 hours

❓ Frequently asked questions