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interferometry and ambient noise"],"sub_categories":[],"readme":"\u003cimg src=\"https://github.com/PeterMakus/SeisMIC/raw/main/docs/source/figures/seismic_logo_small.png\" alt=\"SeisMIC logo\" width=\"600\"/\u003e\n\n[![Build Status](https://github.com/PeterMakus/SeisMIC/actions/workflows/pytest.yaml/badge.svg)](https://github.com/PeterMakus/SeisMIC/actions/workflows/pytest.yaml?branch=main)\n[![Documentation Status](https://github.com/PeterMakus/SeisMIC/actions/workflows/deploy_gh_pages.yml/badge.svg)](https://github.com/PeterMakus/SeisMIC/actions/workflows/deploy_gh_pages.yml)\n[![License: EUPL v1.2](https://img.shields.io/badge/license-EUPL--1.2-blue)](https://joinup.ec.europa.eu/collection/eupl/introduction-eupl-licence)\n[![codecov](https://codecov.io/gh/PeterMakus/SeisMIC/branch/main/graph/badge.svg?token=DYVHODB6LN)](https://codecov.io/gh/PeterMakus/SeisMIC)\n[![DOI](https://img.shields.io/badge/DOI-10.26443/seismica.v3i1.1099-blue)](https://doi.org/10.26443/seismica.v3i1.1099)\n[![PyPI](https://img.shields.io/pypi/v/seismic)](https://pypi.org/project/seismic/)\n[![Python 3.11](https://img.shields.io/badge/python-3.11+-blue.svg)](https://www.python.org/downloads/release/python-3110/)\n\n## Monitoring Velocity Changes using Ambient Seismic Noise\nSeisMIC (**Seismological Monitoring using Interferometric Concepts**) is a python software that emerged from the miic library. **SeisMIC** provides functionality to apply some concepts of seismic interferometry to different data of elastic waves. Its main use case is the monitoring of temporal changes in a mediums Green's Function (i.e., monitoring of temporal velocity changes).\n\n\u003cimg src=\"https://github.com/PeterMakus/SeisMIC/raw/main/docs/source/figures/zhupanov_dv.png\" alt=\"A velocity change time series\" width=\"800\"/\u003e\n\n**SeisMIC** will handle the whole workflow to create velocity-change time-series including:\n+ Downloading raw data\n+ Adaptable preprocessing of the waveform data\n+ Computating cross- and/or autocorrelations\n+ Plotting tools for correlations\n+ Database management of ambient seismic noise correlations\n+ Adaptable postprocessing of correlations\n+ Computation of velocity change (dv/v) time series\n+ Postprocessing of dv/v time series\n+ Plotting of dv/v time-series\n+ Inverting dv/v onto a spatial grid\n\n**SeisMIC** handles correlations and data in an [ObsPy](https://github.com/obspy/obspy)-like manner.\n\n## Installation of this package\n\n### Installation from PyPi (pip install)\n**SeisMIC** is  now deployed on PyPi and can simply be installed using:\n\n```bash\n# We recommend installing mpi4py from the conda-forge channel instead of PyPi\nconda install -c conda-forge mpi4py\n\npip install seismic\n\n# If you want to execute the tutorials, you will have to install jupyter as well\npip install jupyter\n```\n### Installation from Source Code\nTo obtain the lates features, you can install SeisMIC from its source code, available on GitHub.\n\n**Developers should download the ``dev`` branch**\n\nDownload this package via GitHub and install it via bash terminal (the few steps shown below) or using the graphical user interface\n\n```bash\n# Download via wget or web-browser\nwget https://github.com/PeterMakus/SeisMIC/archive/refs/heads/main.zip\n\n# For developers download the dev branch\nwget https://github.com/PeterMakus/SeisMIC/archive/refs/heads/dev.zip\n\n# unzip the package\nunzip main.zip  # or dev.zip\n\n# Change directory to the same directory that this repo is in (i.e., same directory as setup.py)\ncd SeisMIC-main  # That's the standard name the folder should have\n\n# Create the conda environment and install dependencies\nconda install -c conda-forge mpi4py\nconda env create -f environment.yml\n\n# Activate the conda environment\nconda activate seismic\n\n# Install the package in editable mode\npip install -e .\n\n# If you want to execute the tutorials, you will have to install jupyter as well\npip install jupyter\n```\n\n## Getting started\nAccess SeisMIC's documentation [here](https://petermakus.github.io/SeisMIC/index.html).\n\nSeisMIC comes with a few tutorials (Jupyter notebooks). You can find those in the `examples/` directory.\n\n## Acknowledging the Use of SeisMIC in your Work\nIf you should use SeisMIC to create published scientific content please cite the SeisMIC paper: [Makus, P., \u0026 Sens-Schönfelder, C. (2024). SeisMIC-an Open Source Python Toolset to Compute Velocity Changes from Ambient Seismic Noise.](https://doi.org/10.26443/seismica.v3i1.1099).\n\n## Reporting Bugs / Contact the developers\nThis version is an early release. If you encounter any issues or unexpected behaviour, please [open an issue](https://github.com/PeterMakus/SeisMIC/issues/new/choose) here on GitHub.\n\n## Questions?\nIf you have any questions that do not require any changes in the source code, please use the [discussions feature](https://github.com/PeterMakus/SeisMIC/discussions)\n\n## Contributing\nThank you for contributing to SeisMIC! Have a look at our [guidelines for contributors](https://github.com/PeterMakus/SeisMIC/blob/main/CONTRIBUTING.md)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FPeterMakus%2FSeisMIC","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FPeterMakus%2FSeisMIC","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FPeterMakus%2FSeisMIC/lists"}