This repository is about some statistics and visualization tool about microtremor.
- Use scikit-learn to cluster the microtremor data(spac, hvsr and etc.).
- Use spac data to calculate the vs30. (Takumi Hayashida and others, Direct estimation of VS30 using spatial autocorrelation and centreless circular array coefficient curves obtained from microtremor array data, Geophysical Journal International, Volume 233, Issue 2, May 2023, Pages 1515–1528, https://doi.org/10.1093/gji/ggad006)
- Use Pytorch to classify the microtremor data(spac, hvsr).
- A bidirectional LSTM (BiLSTM) layer is an RNN layer that learns bidirectional long-term dependencies between time steps of time series or sequence data.
- Refraction Microtremor (ReMi). (John N. Louie; Faster, Better: Shear-Wave Velocity to 100 Meters Depth from Refraction Microtremor Arrays. Bulletin of the Seismological Society of America 2001;; 91 (2): 347–364. doi: https://doi.org/10.1785/0120000098)
- Some plot result.