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EQcorrscan - correlation earthquake detection

Project description

EQcorrscan
==========

A python package to conduct match-filter earthquake detections.
---------------------------------------------------------------

`|Join the chat at
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`|DOI| <https://zenodo.org/badge/latestdoi/18852/calum-chamberlain/EQcorrscan>`_
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Installation
============

Installation has been tested on both OSX and Linux (Ubuntu), we
currently do not support Windows systems, but plan to in the future.
Installation for Linux and OS X should be as simple as:

``pip install EQcorrscan``

If upgrading from a previous version, rather than running install
--upgrade, I recommend the following:

``pip install -U --no-deps EQcorrscan``

This will not try to upgrade your dependencies, which is not needed. You
may wish to update your obspy version to 1.0.0 which was recently
released. We have tested this and support it, nevertheless, if you find
any issues then let us know.

*You will likely need sudo permissions to run this command.*

If you have any issues installing please let me know. You will need to
install openCV separately using (on Linux):

``apt-get install python-opencv``

Or, for Mac users, this is available on Macports or other similar
package managers.

Updates
-------

If you want to be kept informed about releases, bug-tracking and
enhancements without having to keep looking on github, subscribe to our
`google
group <https://groups.google.com/forum/#!forum/eqcorrscan-users>`_.

Documentation
=============

The full documentation for this package can be found here:
`Docs <http://eqcorrscan.readthedocs.org/en/latest/?badge=latest>`_. Any
errors including typos and just missing bits can either be fixed by you,
or flagged in the issues tab here. We host our docs on readthedocs,
which uses sphinx to scrape the docstrings in the codes, so it is simple
to match the docs to the codes and change the docstrings.

We also have a github-pages site
`EQcorrscan <http://calum-chamberlain.github.io/EQcorrscan/>`_, which
uses jekyll to build the site. Changes or additions to this site can be
made on the gh-pages branch.

Functionality
=============

This package contains routines to enable the user to conduct
match-filter earthquake detections using
`obspy <https://github.com/obspy/obspy/wiki>`_ bindings when reading and
writing seismic data, and the correlation routine in
`openCV <http://opencv.org/>`_. Neither of these packages are installed
by this software, due to a range of licenses being implemented. However,
both are open-source and should be installed before using this package.
This package was written to implement the Matlab routines used by
Chamberlain et al. (2014) for the detection of low-frequency
earthquakes.

Also within this package are: \* Clustering routines for seismic data;
\* Peak finding algorithm (basic); \* Automatic amplitude picker for
local magnitude scale; \* `Seisan <http://seisan.info/>`_ S-file
integration for database management and routine earthquake location; \*
Obspy.core.event integration, which opens up lots of other functions
(Seishub, hypoDDpy etc.); \* Stacking routines including phase-weighted
stacking based on Thurber at al. (2014); \* Brightness based template
creation based on the work of Frank et al. (2014); \* Singular Value
Decomposition derived magnitude calculations based on Rubinstein &
Ellsworth (2010).

We are currently hovering around 9,000 lines of code (including
doc-strings) - it is probably worth having a look at the docs to check
what functions we have. We plan to write a series of tutorials to be
included on the EQcorrscan API to highlight key functions, currently our
tutorial only shows how to do the core matched-filter detection.

Licence
=======

This package is written by Calum Chamberlain and Chet Hopp of Victoria
University of Wellington, and is distributed under the LGPL GNU License,
Copyright Calum Chamberlain 2015, 2016.

Contributing
============

Please fork this project and work on it there then create a pull request
to merge back into develop.

When you make changes please run the tests in the test directory to
ensure everything merges with minimum effort. If there is not yet a test
to cope with your changes then please write one.

Please document your functions following the other documentation within
the functions, these doc-scripts will then be built into the main
documentation using Sphinx.

We are trying to implement a better branching model, following that
found `here <http://nvie.com/posts/a-successful-git-branching-model/>`_.
To this end, please fork the development branch if you want to develop
things, and flag issues in the master for us to bugfix. If you have a
feature you want to develop please create a new branch from the
development branch and work on it there, we can then merge it back in to
the development branch when it is stable enough.

This branching model (git-flow) is pretty well established, and I would
recommend you to install
`git-flow <https://github.com/nvie/gitflow/wiki/Installation>`_ and read
their `documentation <https://github.com/nvie/gitflow>`_. It seems
pretty intuitive and will keep us all branching in the same way.

References
==========

- CJ Chamberlain, DR Shelly, J Townend, TA Stern (2014) `Low‐frequency
earthquakes reveal punctuated slow slip on the deep extent of the
Alpine Fault, New
Zealand <http://onlinelibrary.wiley.com/doi/10.1002/2014GC005436/full>`_,
**G-cubed**,doi:10.1002/2014GC005436
- Thurber, C. H., Zeng, X., Thomas, A. M., & Audet, P. (2014).
`Phase‐Weighted Stacking Applied to Low‐Frequency
Earthquakes <http://www.bssaonline.org/content/early/2014/08/12/0120140077.abstract>`_,
**BSSA**, doi:10.1785/0120140077.
- Frank, W. B., & Shapiro, N. M. (2014). `Automatic detection of
low-frequency earthquakes (LFEs) based on a beamformed network
response <http://gji.oxfordjournals.org/content/197/2/1215.short>`_,
**Geophysical Journal International**, 197(2), 1215-1223,
doi:10.1093/gji/ggu058.
- Rubinstein, J. L., & Ellsworth, W. L. (2010). `Precise estimation of
repeating earthquake moment: Example from Parkfield,
California <http://www.bssaonline.org/content/100/5A/1952.short>`_,
**BSSA**, doi:10.1785/0120100007

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