STMotif: Discovery of Motifs in Spatial-Time Series

Allows to identify motifs in spatial-time series. A motif is a previously unknown subsequence of a (spatial) time series with relevant number of occurrences. For this purpose, the Combined Series Approach (CSA) is used.

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: stats, ggplot2, reshape2, scales, grDevices, RColorBrewer, shiny
Suggests: knitr, rmarkdown, testthat
Published: 2018-11-09
Author: Amin Bazaz [aut] (Polytech'Montpellier), Heraldo Borges [aut, cre] (CEFET/RJ), Eduardo Ogasawara [aut] (CEFET/RJ)
Maintainer: Heraldo Borges <stmotif at>
License: GPL-2 | GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: STMotif results


Reference manual: STMotif.pdf
Vignettes: Motifs discovery in spatial-time series
Example with a sample dataset
Generation of candidates from a dataset
Search for Spatial-time Motifs
Package source: STMotif_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: STMotif_1.0.1.tgz, r-oldrel: STMotif_1.0.1.tgz
Old sources: STMotif archive


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