Package: STMotif Type: Package Title: Discovery of Motifs in Spatial-Time Series Version: 2.0.3 Authors@R: c( person("Heraldo", "Borges", email = "stmotif@eic.cefet-rj.br", role = c("aut", "cre"), comment = "CEFET/RJ"), person("Amin", "Bazaz", role = c("aut"), comment = "Polytech'Montpellier"), person("Esther", "Pacciti", role = c("aut"), comment = "INRIA/Polytech'Montpellier"), person("Eduardo", "Ogasawara", role = c("aut"), comment = "CEFET/RJ")) Maintainer: Heraldo Borges Description: 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. License: GPL-3 Encoding: UTF-8 LazyData: true Depends: R (>= 3.5.0) Imports: ggplot2 (>= 3.4.0), scales, RColorBrewer, rlang, stats, grDevices Suggests: testthat (>= 3.0.0), knitr, rmarkdown VignetteBuilder: knitr Config/testthat/edition: 3 RoxygenNote: 7.3.3 URL: https://github.com/heraldoborges/STMotif BugReports: https://github.com/heraldoborges/STMotif/issues Repository: https://heraldoborges.r-universe.dev Date/Publication: 2026-03-29 22:40:51 UTC RemoteUrl: https://github.com/heraldoborges/stmotif RemoteRef: HEAD RemoteSha: e2f6ace32618039270216cd5abeb89e1c61a7aaf NeedsCompilation: no Packaged: 2026-10-01 09:06:25 UTC; root Author: Heraldo Borges [aut, cre] (CEFET/RJ), Amin Bazaz [aut] (Polytech'Montpellier), Esther Pacciti [aut] (INRIA/Polytech'Montpellier), Eduardo Ogasawara [aut] (CEFET/RJ)