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: |
2.0.1 |
| Imports: |
stats, ggplot2, reshape2, scales, grDevices, RColorBrewer, shiny |
| Suggests: |
knitr, rmarkdown, testthat |
| Published: |
2020-11-14 |
| 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: |
GPL-2 | GPL-3 |
| URL: |
https://github.com/heraldoborges/STMotif/wiki |
| NeedsCompilation: |
no |
| Citation: |
STMotif citation info |
| Materials: |
NEWS |
| CRAN checks: |
STMotif results |