SPAC Training Day 1
Tue, Oct 03
|Zoom
General introduction of Spatial Autocorrelation (SPAC) data and its usage to image the subsurface structure.
Time & Location
Oct 03, 2023, 12:00 PM – 2:00 PM
Zoom
Guests
About the event
SPAC Training Day 1
General introduction of Spatial Autocorrelation (SPAC) data and its usage to image the subsurface structure
Please be sure to RSVP if you plan to attend the training! A confirmation email with the Zoom link will be sent to you. If you are unable to attend in real time but would like a link to the recording, please RSVP that you are not able to attend and we will send you a link to the recording. All attendees will also be provided a link to the training once completed.
Before the training begins, please download the codes and sample data from Dr. Surya Pachhai’s github repository. There are also many references in the handbook included in this git repository. In order to download, these files, you will need to open a terminal then type git clone https://gitfront.io/r/user-3200264/x1pecp9T5TKV/Bayesian-Inversion-of-SPAC-gitfront.git
To better understand SPAC, we recommend the following papers:
Aki K. , 1957. Space and time spectra of stationary stochastic waves with special reference to microtremors, Bull. Earthq. Res. Inst., 35, 415–456.
Hao Zhang, Kristine Pankow, William Stephenson, A Bayesian Monte Carlo inversion of spatial auto-correlation (SPAC) for near-surface Vs structure applied to both broad-band and geophone data, Geophysical Journal International, Volume 217, Issue 3, June 2019, Pages 2056–2070, https://doi.org/10.1093/gji/ggz136
Stephenson, W. J., Hartzell, S., Frankel, A. D., Asten, M., Carver, D. L., and Kim, W. Y. (2009), Site characterization for urban seismic hazards in lower Manhattan, New York City, from microtremor array analysis, Geophys. Res. Lett., 36, L03301, doi:10.1029/2008GL036444.