Skip to main content

An ObsPy library for event detection and seismic attribute calculation: preparing waveforms for automated analysis.

Project description

seismic_attributes

This package is an extension for the observational seismology obspy software package that provides a streamlined tool tailored to the processing of seismic signals from non-earthquake sources, in particular those from deforming systems such as glaciers and landslides. This seismic attributes library provides functionality to: (1) download and/or pre-process seismic waveform data; (2) detect and catalogue seis- mic events using multi-component signals from one or more seismometers; and (3) calculate characteristics ('attributes'/'features') of the identified events. The workflow is controlled by three main functions that have been tested for the breadth of data types expected from permanent and campaign-deployed seismic instrumentation. A selected STA/LTA-type (short-term average/long-term average), or other, event detection algorithm can be applied to the waveforms and user-defined functions implemented to calculate any required characteristics of the detected events. The code is written in Python 2/3 and has detailed documentation and worked examples available on GitHub (https://github.com/rossjturner/seismic_attributes).

Installation

This package can either be installed using pip or from a .zip file downloaded from the GitHub repository using the standard Python package distutils.

Install using pip

The following command will install the latest version of the seismic attributes library from the Python Packaging Index (PyPI):

pip install seismic_attributes

Install from GitHub repository

The package can be downloaded from the GitHub repository at https://github.com/rossjturner/seismic_attributes, or cloned with git using:

git clone https://github.com/rossjturner/seismic_attributes.git

The package is installed by running the following command as an administrative user:

python setup.py install

Unit testing

The successful installation of the package can be verified using the Python package pytest. The unit tests require internet access to run as data is downloaded from the Incorporated Research Institutions for Seismology (IRIS) server; downloaded data will be saved in the working directory.

Before the test

Find the path to the installed seismic_attributes package. If the package was installed using pip this is achieved as follows:

pip show seismic_attributes

The path to the seismic_attributes directory is shown next to 'Location:'.

Running the test

The unit test is run with pytest (which should be installed with seismic_attributes by default) using the following command:

pytest path_to_directory/seismic_attributes

The unit test takes approximately 10-20 seconds to run. Five tests are conducted which verify the seismic_attributes package is correctly linked with obspy, can download data from the IRIS server, produces an event catalogue with the expected output, and calculates attributes for events as expected.

Documentation and Examples

Full documentation of the functions included in the seismic_attributes package, in addition to worked examples, is included in seismic_attributes_user.pdf on the GitHub repository. The worked examples are additionally included in the following Jupyter notebook: seismic_attributes_example.ipynb.

Contact

Ross Turner <turner.rj@icloud.com>

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

seismic_attributes-1.0.3.tar.gz (23.5 kB view details)

Uploaded Source

Built Distribution

seismic_attributes-1.0.3-py3-none-any.whl (22.9 kB view details)

Uploaded Python 3

File details

Details for the file seismic_attributes-1.0.3.tar.gz.

File metadata

  • Download URL: seismic_attributes-1.0.3.tar.gz
  • Upload date:
  • Size: 23.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.1

File hashes

Hashes for seismic_attributes-1.0.3.tar.gz
Algorithm Hash digest
SHA256 66c7416da9a3759141d93550038493c6c39735be906f4510a97ad7ff77789089
MD5 1ef8ccf8d77f87400f903b51d3bb9e53
BLAKE2b-256 f288b0577e82d7495325ebadd13db006327e55dd10efd9b2237344af89f3f57f

See more details on using hashes here.

File details

Details for the file seismic_attributes-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: seismic_attributes-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 22.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.1

File hashes

Hashes for seismic_attributes-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 2d3b2368441cb9fef6ac159f2b6c8e742c8cc6e90a01ddd215e8cfeb598f3bed
MD5 b621fa00155e74ceb11e6fed2f77666c
BLAKE2b-256 1fa8e112e58949bac7ba97fc7e16b5111c45c757a6b5afee75412e47f0ebe986

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page