STMotif-package: STMotif: Discovery and Ranking of Motifs in Spatial-Time...

In STMotif: Discovery of Motifs in Spatial-Time Series

STMotif: Discovery and Ranking of Motifs in Spatial-Time Series

Description

Identifies motifs in spatial-time series using the Combined Series Approach (CSA). A motif is a previously unknown subsequence of a spatial time series with a relevant number of occurrences. The package provides functions for SAX encoding, motif discovery, ranking, and visualization.

Details

The main workflow consists of:

1. NormSAX: Normalize and encode the dataset with SAX.

2. SearchSTMotifs: Discover motifs in spatio-temporal blocks.

3. RankSTMotifs: Rank motifs by quality metrics.

These three steps are wrapped in the convenience function CSAMiningProcess.

Visualization functions:

• display_motifsDataset: Heatmap with highlighted motifs.

• display_motifsSTSeries: Time series plots with highlighted motifs.

Author(s)

Maintainer: Heraldo Borges [e-mail] (CEFET/RJ)

Authors:

• Amin Bazaz (Polytech'Montpellier)

• Esther Pacciti (INRIA/Polytech'Montpellier)

• Eduardo Ogasawara (CEFET/RJ)

See Also

vignette("STMotif") for a comprehensive introduction.

STMotif documentation built on March 30, 2026, 1:06 a.m.