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geosh - A Python package for Geo Utilities Plugin

Grechi Umberto, www.sofhare.com

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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

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

Metadata

Release files for geosh 0.0.9

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for geosh 0.0.9
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Built distribution (wheel)

Table of built distributions (wheels) for geosh 0.0.9
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geosh-0.0.9-py3-none-any.whl Python 3 none any Details

Total release size: 255.2 kB

Release files / geosh-0.0.9.tar.gz

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