STMotif
Discovery of Motifs in Spatial-Time Series
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.3 |
rolling linux/jammy R-4.5 | STMotif_2.0.3.tar.gz |
139.6 KiB |
2.0.3 |
rolling linux/noble R-4.5 | STMotif_2.0.3.tar.gz |
139.7 KiB |
2.0.3 |
rolling source/ R- | STMotif_2.0.3.tar.gz |
91.7 KiB |
2.0.3 |
latest linux/jammy R-4.5 | STMotif_2.0.3.tar.gz |
139.6 KiB |
2.0.3 |
latest linux/noble R-4.5 | STMotif_2.0.3.tar.gz |
139.7 KiB |
2.0.3 |
latest source/ R- | STMotif_2.0.3.tar.gz |
91.7 KiB |
2.0.3 |
2026-04-26 source/ R- | STMotif_2.0.3.tar.gz |
91.7 KiB |
2.0.3 |
2026-04-23 source/ R- | STMotif_2.0.3.tar.gz |
91.7 KiB |
2.0.3 |
2026-04-09 windows/windows R-4.5 | STMotif_2.0.3.zip |
140.0 KiB |
2.0.2 |
2025-04-20 source/ R- | STMotif_2.0.2.tar.gz |
85.9 KiB |