STMotif (version 2.0.2)

Discovery of Motifs in Spatial-Time Series

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.

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Install

install.packages('STMotif')

Monthly Downloads

160

Version

2.0.2

License

MIT + file LICENSE

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Repository

https://github.com/heraldoborges/STMotif/wiki

Maintainer

Amin Bazaz

Last Published

February 23rd, 2024

Functions in STMotif (2.0.2)

STSADatasetAdjust

Adjust a Dataset Adjust the dimensions of a dataset to build the blocks

CSAMiningProcess

SearchSTMotifs

display_motifsDataset

Plot a heatmap of the dataset and highlight the selected motifs from the list

display_motifsSTSeries

Plot the selected spatial-time series with the selected motifs highlighted

RankSTMotifs

Rank the STmotifs Rank motifs by their quality

STMotif

Package STMotif

NormSAX

Normalize the data and SAX indexing

example_dataset

Example of dataset