Code Monkey home page Code Monkey logo

rt_eqcorrscan's Introduction

RT EQcorrscan

Real-time implementation of EQcorrscan's matched-filter earthquake detection

License: GPL v3 test codecov Documentation Status Python 3.6+

Installation

Anaconda-Server Badge

Either install EQcorrscan from conda-forge (recommended) using something like:

conda install -c conda-forge RT-EQcorrscan

or from pypi using something like:

pip install RT-EQcorrscan

or from source by cloning this repository and running pip install:

git clone https://github.com/eqcorrscan/RT_EQcorrscan.git
cd RT_EQcorrscan
pip install .  # This should install the required dependencies.

Usage

Have a peruse of the docs to see more information on how to use RT-EQcorrscan.

Feel free to edit the source code and add/change how RT-EQcorrscan works to make it fit your application. If you find any bugs, or have a feature that you want to add, then please do! It would be really valuable to make this project better! See the section below on contributing.

Contributing

RT_EQcorrscan is ready to play with, but don't expect it to be stable yet. If you have any contributions they would be appreciated! Please fork the repository and create a pull-request on Master.

Funding

The creation of this project was funded by the Earthquake Commission of New Zealand (EQC). Currently the maintainence of this project is unfunded.

Citation

If you use our software in your research please cite our paper on the RT-EQcorrscan package. These citations help to keep the developers in work and keep maintaining these software!

Chamberlain, C. J., J. Townend, and M. C. Gerstenberger (2020). RT-EQcorrscan: Near-Real-Time Matched-Filtering for Rapid Development of Dense Earthquake Catalogs, Seismol. Res. Lett. XX, 1โ€“11, doi: 10.1785/0220200171.

Funding

RCET

Continued development of the RT-EQcorrscan package is directly supported by the RCET, Rapid Characterisation of Earthquakes and Tsunami programme funded by the New Zealand Ministry of Business, Innovation and Employment Endeavour fund.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.