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.

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Description file content

Package
STMotif
Type
Package
Title
Discovery of Motifs in Spatial-Time Series
Version
1.0.1
Maintainer
Heraldo Borges
Description
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.
License
GPL-2 | GPL-3
Encoding
UTF-8
LazyData
true
Imports
stats, ggplot2, reshape2, scales, grDevices, RColorBrewer, shiny
RoxygenNote
6.1.0
Suggests
knitr, rmarkdown, testthat
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2018-11-09 12:38:54 UTC; heraldoborges
Author
Amin Bazaz [aut] (Polytech'Montpellier), Heraldo Borges [aut, cre] (CEFET/RJ), Eduardo Ogasawara [aut] (CEFET/RJ)
Depends
R (>= 2.10)
Repository
CRAN
Date/Publication
2018-11-09 13:00:03 UTC

install.packages('STMotif')

1.0.1

a month ago

Heraldo Borges

GPL-2 | GPL-3

Depends on

R (>= 2.10)

Imports

stats, ggplot2, reshape2, scales, grDevices, RColorBrewer, shiny

Suggests

knitr, rmarkdown, testthat

Discussions