Skip to main content

SPAC processing

Project description

spac-unhas

spac-unhas is python package for processing seismic data using spatial-autocorrelation (SPAC) method

Features

This package contain:

  • environment: Generates working directory for process the data
  • readdata: Reads gathered seismic data files which defaultly compatible with obspy
  • windowing: Splits the seismic data into specific number of windows
  • complexcoherence: Computes the complex coherencies in frequency domain
  • spaccoefficient: Calculates directional average of complex coherencies for equally distance radii
  • dispersioncurve: Perform least-square fitting between SPAC coefficient and Bessel's function first kind zero order

Installation

To install the package just simply hit the following command on your terminal:

pip install spac-unhas

Example

example folder provide a simple example for implementing this package. data gained from open source InterPACIFIC project website (https://interpacific.geopsy.org/), especially in passive seismic data collected from The Mirandola site using circular array with radius 15 meters (MIR_C_15_45).

Additional Support

Please leave your comment on discussion section if you have any thoughts, suggestion, or encounter any problem with this. I welcome for any improvement for further develoment. Feel free to discuss.

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

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

Source Distribution

spac_unhas_ahmadfauzy02-0.1.tar.gz (8.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

spac_unhas_ahmadfauzy02-0.1-py3-none-any.whl (10.1 kB view details)

Uploaded Python 3

File details

Details for the file spac_unhas_ahmadfauzy02-0.1.tar.gz.

File metadata

  • Download URL: spac_unhas_ahmadfauzy02-0.1.tar.gz
  • Upload date:
  • Size: 8.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for spac_unhas_ahmadfauzy02-0.1.tar.gz
Algorithm Hash digest
SHA256 34d459e9c07390898fe79e6883cdbe1e0a1fa111b7867253a925bb7acd722250
MD5 6f76c03ea32612761bee6ef2051472b0
BLAKE2b-256 61fc42a88feafaa21b8b0612150839a735b3343dd78c6ffb0bf75a5c1bd7f001

See more details on using hashes here.

File details

Details for the file spac_unhas_ahmadfauzy02-0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for spac_unhas_ahmadfauzy02-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 ad2be8ee224b54bafd1834966ac6980ab4673ae24469edcf86c49f16bbe37682
MD5 ad1e17dce358e2c0557376155cd4bf2f
BLAKE2b-256 900d411d823fcda1633c61f02009451cf24366e2b857cfc26b2e17910e1627d4

See more details on using hashes here.

Supported by

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