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> Bodenmann L., Baker J. W., Stojadinovic B. (20xx): "Accounting for path and site effects in spatial ground-motion correlation models using Bayesian inference" (Include link and further info once available).
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![alt text](https://github.com/bodlukas/ground-motion-correlation-bayes/blob/main/data/corr_schema_dark.png#gh-dark-mode-only)
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![alt text](https://github.com/bodlukas/ground-motion-correlation-bayes/blob/main/data/corr_schema_bright.png#gh-light-mode-only)
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## Structure
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The folder [data](data/) contains the data used to estimate the correlation model parameters, as well as some further data used in the introductory figure in the manuscript, and for the case study application.
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We performed model estimation on Linux and did not test other opearting systems. To perform model estimation on your local machine, you can set up a Windows Subsystem for Linux ([WSL](https://learn.microsoft.com/en-us/windows/wsl/install)). Then install [miniconda](https://docs.conda.io/en/latest/miniconda.html) and create an environment as `conda env create -f environment_numpyro.yml`.
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Application of the estimated models and the plotting of the results should also work on other operating systems than Linux and you can create a miniconda environment as `conda env create -f environment_basic.yml`.
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Application of the estimated models and the plotting of the results should also work on other operating systems than Linux and you can create a miniconda environment as `conda env create -f environment_basic.yml`.

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