Metadata-Version: 2.1
Name: geosh
Version: 0.0.9
Summary: A Python package for Geo Utilities Plugin
Home-page: https://github.com/Adre17/geosh
Author: Grechi Umberto
Author-email: umberto.grechi@sofhare.com
Project-URL: Bug Reports, https://github.com/Adre17/geosh
Project-URL: Source, https://github.com/Adre17/geosh
Project-URL: Docs, https://github.com/Adre17/geosh
Keywords: horizontal-to-vertical spectral ratio hv hvsr
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Education
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy==1.26
Requires-Dist: scipy==1.15.2
Requires-Dist: pandas==2.2.3
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Requires-Dist: Pillow==11.1.0
Requires-Dist: psycopg2==2.9.10
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Requires-Dist: pyproj==3.7.1
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Requires-Dist: ipython==8.32.0
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Provides-Extra: dev
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Requires-Dist: sphinx-rtd-theme; extra == "dev"
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Requires-Dist: autopep8; extra == "dev"

# _geosh_ - A Python package for Geo Utilities Plugin

> Grechi Umberto, [www.sofhare.com](https://www.sofhare.com/)

## Table of Contents

-   [About _geosh_](#About-geosh)
-   [Reference_](#Reference)
-   [Compatibility_](#Compatibility)

## About _geosh_

`geosh` is an open-source Python package for Geo Utilities plugin.

## Reference

hvsrpy

> Joseph Vantassel. (2020). jpvantassel/hvsrpy: latest (Concept). Zenodo.
> [http://doi.org/10.5281/zenodo.3666956](http://doi.org/10.5281/zenodo.3666956)

Lognormal statistics and fully-automated frequency-domain window-rejection algorithm.

> Cox, B. R., Cheng, T., Vantassel, J. P., & Manuel, L. (2020). "A statistical
> representation and frequency-domain window-rejection algorithm for single-station
> HVSR measurements. Geophysical Journal International, 221(3), 2170–2183.
> https://doi.org/10.1093/gji/ggaa119

Statistical approach to incorporate azimuthal variability.

> Cheng, T., Cox, B. R., Vantassel, J. P., and Manuel, L. (2020). "A
> statistical approach to account for azimuthal variability in single-station
> HVSR measurements." Geophysical Journal International, 223(2), 1040–1053.
> https://doi.org/10.1093/gji/ggaa342

Statistical approach to incorporate spatial variability.

> Cheng, T., Hallal, M. M., Vantassel, J. P., and Cox, B. R., (2021).
> "Estimating Unbiased Statistics for Fundamental Site Frequency Using
> Spatially Distributed HVSR Measurements and Voronoi Tessellation.
> J. Geotech. Geoenviron. Eng. 147, 04021068.
> https://doi.org/10.1061/(ASCE)GT.1943-5606.0002551

SESAME clarity and reliability criteria for microtremor HVSR.

> SESAME. (2004). Guidelines for the Implementation of the H/V Spectral Ratio
> Technique on Ambient Vibrations Measurements, Processing, and Interpretation.
> European Commission - Research General Directorate, 62, European Commission -
> Research General Directorate.

Computation of HVSR under the diffuse field assumption.

> Sánchez-Sesma, F.J., Rodríguez, M., Iturrarán-Viveros, U., Luzón, F.,
> Campillo, M., Margerin, L., García-Jerez, A., Suarez, M., Santoyo, M.A.,
> Rodríguez-Castellanos, A. (2011). A theory for microtremor H/V spectral
> ratio: application for a layered medium: Theory for microtremor H/V spectral
> ratio. Geophysical Journal International 186, 221–225.
> https://doi.org/10.1111/j.1365-246X.2011.05064.x

Power spectral density (PSD) calculation.

> Welch, P., (1967). The use of fast Fourier transform for the estimation
> of power spectra: a method based on time averaging over short, modified
> periodograms. IEEE Transactions on audio and electroacoustics, 15(2), pp.70-73.

New high noise model (NHNM) and new low noise model (NLNM).

> Peterson, J., (1993). Observation and Modeling of Seismic Background
> Noise (Open-File Report No. 93–322). U.S. Geologic Survey, Albuquerque, New Mexico.

## Compatibility
geosh v 0.0.9
Qgis version 3.34.11 & python 3.12 64 bit

