Allow 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: 2.0.2 Imports: stats, ggplot2, reshape2, scales, grDevices, RColorBrewer Suggests: knitr, rmarkdown, testthat Published: 2024-02-23 DOI: 10.32614/CRAN.package.STMotif Author: Heraldo Borges [aut, cre] (CEFET/RJ), Amin Bazaz [aut] (Polytech'Montpellier), Esther Pacciti [aut] (INRIA/Polytech'Montpellier), Eduardo Ogasawara [aut] (CEFET/RJ) Maintainer: Heraldo Borges <stmotif at eic.cefet-rj.br> BugReports: https://github.com/heraldoborges/STMotif/issues License: MIT + file LICENSE URL: https://github.com/heraldoborges/STMotif/wiki NeedsCompilation: no Materials: NEWS CRAN checks: STMotif results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=STMotif to link to this page.
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