Package: spemd 0.1-1

spemd: A Bi-Dimensional Implementation of the Empirical Mode Decomposition for Spatial Data

This implementation of the Empirical Mode Decomposition (EMD) works in 2 dimensions simultaneously, and can be applied on spatial data. It can handle both gridded or un-gridded datasets.

Authors:Pierre Roudier [aut, cre]

spemd_0.1-1.tar.gz
spemd_0.1-1.zip(r-4.5)spemd_0.1-1.zip(r-4.4)spemd_0.1-1.zip(r-4.3)
spemd_0.1-1.tgz(r-4.4-any)spemd_0.1-1.tgz(r-4.3-any)
spemd_0.1-1.tar.gz(r-4.5-noble)spemd_0.1-1.tar.gz(r-4.4-noble)
spemd_0.1-1.tgz(r-4.4-emscripten)spemd_0.1-1.tgz(r-4.3-emscripten)
spemd.pdf |spemd.html
spemd/json (API)

# Install 'spemd' in R:
install.packages('spemd', repos = c('https://pierreroudier.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/pierreroudier/spemd/issues

On CRAN:

1 exports 0.63 score 21 dependencies 3 scripts 204 downloads

Last updated 6 years agofrom:8c193baded. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-winOKSep 15 2024
R-4.5-linuxOKSep 15 2024
R-4.4-winOKSep 15 2024
R-4.4-macOKSep 15 2024
R-4.3-winOKSep 15 2024
R-4.3-macOKSep 15 2024

Exports:spEMD

Dependencies:BHbootclassclassIntDBIdeldire1071KernSmoothlatticemagrittrMASSMBAproxyRcpps2sfspspDataspdepunitswk

Readme and manuals

Help Manual

Help pageTopics
create.neigcreate.neig
extract.extremaextract.etxrema extract.extrema
extrema.irrextrema.irr
return.mean.enveloppereturn.mean.enveloppe
spEMDspEMD