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 (may not be active yet)
Author:	Alejandro Verri Kozlowski [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: not available, r-release: not available, 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:

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