# _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
Qgis version >3.34 & python 3.12 64 bit
Raw data
{
"_id": null,
"home_page": "https://github.com/Adre17/geosh",
"name": "geosh",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": "horizontal-to-vertical spectral ratio hv hvsr",
"author": "Grechi Umberto",
"author_email": "umberto.grechi@sofhare.com",
"download_url": "https://files.pythonhosted.org/packages/5c/dc/b090280f7690d0f226eb2950c1d780def9048a9654d0ddfaff346053ea46/geosh-0.0.2.tar.gz",
"platform": null,
"description": "# _geosh_ - A Python package for Geo Utilities Plugin\r\n\r\n> Grechi Umberto, [www.sofhare.com](https://www.sofhare.com/)\r\n\r\n## Table of Contents\r\n\r\n- [About _geosh_](#About-geosh)\r\n- [Reference_](#Reference)\r\n- [Compatibility_](#Compatibility)\r\n\r\n## About _geosh_\r\n\r\n`geosh` is an open-source Python package for Geo Utilities plugin.\r\n\r\n## Reference\r\n\r\nhvsrpy\r\n\r\n> Joseph Vantassel. (2020). jpvantassel/hvsrpy: latest (Concept). Zenodo.\r\n> [http://doi.org/10.5281/zenodo.3666956](http://doi.org/10.5281/zenodo.3666956)\r\n\r\nLognormal statistics and fully-automated frequency-domain window-rejection algorithm.\r\n\r\n> Cox, B. R., Cheng, T., Vantassel, J. P., & Manuel, L. (2020). \"A statistical\r\n> representation and frequency-domain window-rejection algorithm for single-station\r\n> HVSR measurements. Geophysical Journal International, 221(3), 2170\u20132183.\r\n> https://doi.org/10.1093/gji/ggaa119\r\n\r\nStatistical approach to incorporate azimuthal variability.\r\n\r\n> Cheng, T., Cox, B. R., Vantassel, J. P., and Manuel, L. (2020). \"A\r\n> statistical approach to account for azimuthal variability in single-station\r\n> HVSR measurements.\" Geophysical Journal International, 223(2), 1040\u20131053.\r\n> https://doi.org/10.1093/gji/ggaa342\r\n\r\nStatistical approach to incorporate spatial variability.\r\n\r\n> Cheng, T., Hallal, M. M., Vantassel, J. P., and Cox, B. R., (2021).\r\n> \"Estimating Unbiased Statistics for Fundamental Site Frequency Using\r\n> Spatially Distributed HVSR Measurements and Voronoi Tessellation.\r\n> J. Geotech. Geoenviron. Eng. 147, 04021068.\r\n> https://doi.org/10.1061/(ASCE)GT.1943-5606.0002551\r\n\r\nSESAME clarity and reliability criteria for microtremor HVSR.\r\n\r\n> SESAME. (2004). Guidelines for the Implementation of the H/V Spectral Ratio\r\n> Technique on Ambient Vibrations Measurements, Processing, and Interpretation.\r\n> European Commission - Research General Directorate, 62, European Commission -\r\n> Research General Directorate.\r\n\r\nComputation of HVSR under the diffuse field assumption.\r\n\r\n> S\u00e1nchez-Sesma, F.J., Rodr\u00edguez, M., Iturrar\u00e1n-Viveros, U., Luz\u00f3n, F.,\r\n> Campillo, M., Margerin, L., Garc\u00eda-Jerez, A., Suarez, M., Santoyo, M.A.,\r\n> Rodr\u00edguez-Castellanos, A. (2011). A theory for microtremor H/V spectral\r\n> ratio: application for a layered medium: Theory for microtremor H/V spectral\r\n> ratio. Geophysical Journal International 186, 221\u2013225.\r\n> https://doi.org/10.1111/j.1365-246X.2011.05064.x\r\n\r\nPower spectral density (PSD) calculation.\r\n\r\n> Welch, P., (1967). The use of fast Fourier transform for the estimation\r\n> of power spectra: a method based on time averaging over short, modified\r\n> periodograms. IEEE Transactions on audio and electroacoustics, 15(2), pp.70-73.\r\n\r\nNew high noise model (NHNM) and new low noise model (NLNM).\r\n\r\n> Peterson, J., (1993). Observation and Modeling of Seismic Background\r\n> Noise (Open-File Report No. 93\u2013322). U.S. Geologic Survey, Albuquerque, New Mexico.\r\n\r\n## Compatibility\r\n\r\nQgis version >3.34 & python 3.12 64 bit\r\n\r\n",
"bugtrack_url": null,
"license": null,
"summary": "A Python package for Geo Utilities Plugin",
"version": "0.0.2",
"project_urls": {
"Bug Reports": "https://github.com/Adre17/geosh",
"Docs": "https://github.com/Adre17/geosh",
"Homepage": "https://github.com/Adre17/geosh",
"Source": "https://github.com/Adre17/geosh"
},
"split_keywords": [
"horizontal-to-vertical",
"spectral",
"ratio",
"hv",
"hvsr"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "eaa2de8503c1ad0cbdade7ef68c02f89cf94259c42005fac1ed1d110f227ae1d",
"md5": "ef93060cf54647ec5f70bbe9285460c1",
"sha256": "99b8089b4772a6e4a39624845d37b2111b41bf9f4dad6a81e3bdf0e73a5c863e"
},
"downloads": -1,
"filename": "geosh-0.0.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "ef93060cf54647ec5f70bbe9285460c1",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 94549,
"upload_time": "2024-12-18T07:05:56",
"upload_time_iso_8601": "2024-12-18T07:05:56.040566Z",
"url": "https://files.pythonhosted.org/packages/ea/a2/de8503c1ad0cbdade7ef68c02f89cf94259c42005fac1ed1d110f227ae1d/geosh-0.0.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "5cdcb090280f7690d0f226eb2950c1d780def9048a9654d0ddfaff346053ea46",
"md5": "7b4854337e5165e52bd9cc68f939aa46",
"sha256": "e39fbb08d80539156311f53f3f7d8f115f67474800fcfa5e2035d623ae8eb50b"
},
"downloads": -1,
"filename": "geosh-0.0.2.tar.gz",
"has_sig": false,
"md5_digest": "7b4854337e5165e52bd9cc68f939aa46",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 71529,
"upload_time": "2024-12-18T07:05:58",
"upload_time_iso_8601": "2024-12-18T07:05:58.594458Z",
"url": "https://files.pythonhosted.org/packages/5c/dc/b090280f7690d0f226eb2950c1d780def9048a9654d0ddfaff346053ea46/geosh-0.0.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-12-18 07:05:58",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "Adre17",
"github_project": "geosh",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "geosh"
}
JSON
