The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

gmsp: Ground Motion Signal Processing

Implements short-time Fourier transform (STFT) based processing of strong-motion time series: time-grid regularisation, STFT-window and anti-alias-resampling strategy selection, edge tapering, and frequency-domain integration and differentiation, mapping a single input (acceleration, velocity, or displacement) to a consistent triplet under a chosen analysis bandwidth. Also provides intrinsic-mode-function decomposition via empirical mode decomposition (EMD), ensemble EMD (EEMD), and variational mode decomposition (VMD) with optional band-rule filtering; elastic single-degree-of-freedom (SDOF) response spectra (pseudo-spectral acceleration, velocity, and displacement) by exact state-space integration; intensity measures including peak, root-mean-square (RMS), Arias intensity, significant-duration, cumulative absolute velocity, mean period, and the derived indices earthquake destructiveness potential (EPI) and power-of-input (PDI); and D50 and D100 horizontal response spectra. Methods: Huang et al. (1998) <doi:10.1098/rspa.1998.0193>, Wu and Huang (2009) <doi:10.1142/S1793536909000047>, Dragomiretskiy and Zosso (2014) <doi:10.1109/TSP.2013.2288675>, Boore (2010) <doi:10.1785/0120090179>. An optional indexing layer parses provider files in formats including 'PEER' 'NGA-West2' 'AT2', 'CESMD' 'V2'/'V2c', 'NWZ' 'V2A', Geological Survey of Canada 'TR', 'IGP'/'UCR' 'AC' variants, and generic two-column ASCII text, normalises components, writes per-record CSV (comma-separated values) and JSON (JavaScript Object Notation) pairs, and assembles a master record table.

Version: 0.4.6
Depends: R (≥ 4.1.0)
Imports: data.table, digest, EMD, expm, hht, jsonlite, openssl, pracma, purrr, seewave, signal, spectral, stats, stringr, utils, VMDecomp
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-06-18
DOI: 10.32614/CRAN.package.gmsp
Author: Alejandro Verri Kozlowski ORCID iD [aut, cre, cph]
Maintainer: Alejandro Verri Kozlowski <averri at fi.uba.ar>
License: MIT + file LICENSE
URL: https://averriK.github.io/gmsp/
NeedsCompilation: no
Language: en-US
Citation: gmsp citation info
Materials: README, NEWS
CRAN checks: gmsp results

Documentation:

Reference manual: gmsp.html , gmsp.pdf
Vignettes: Database / indexing layer (source, R code)
Getting started with gmsp (source, R code)
IMF decomposition: TS2IMF (EMD / EEMD / VMD) (source, R code)
Intensity measures: TSL2IM / getIntensity (source, R code)
Signal processing: AT2TS / VT2TS / DT2TS (source, R code)
Elastic SDOF response spectra: TSL2PS (source, R code)

Downloads:

Package source: gmsp_0.4.6.tar.gz
Windows binaries: r-devel: gmsp_0.4.6.zip, r-release: gmsp_0.4.6.zip, r-oldrel: gmsp_0.4.6.zip
macOS binaries: r-release (arm64): gmsp_0.4.6.tgz, r-oldrel (arm64): gmsp_0.4.6.tgz, r-release (x86_64): gmsp_0.4.6.tgz, r-oldrel (x86_64): gmsp_0.4.6.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gmsp to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.