sta
Seasonal Trend Analysis for Time Series Imagery in R
Efficiently estimate shape parameters of periodic time series imagery with which a statistical seasonal trend analysis (STA) is subsequently performed. STA output can be exported in conventional raster formats. Methods to visualize STA output are also implemented as well as the calculation of additional basic statistics. STA is based on (R. Eastman, F. Sangermano, B. Ghimire, H. Zhu, H. Chen, N. Neeti, Y. Cai, E. Machado and S. Crema, 2009) <doi:10.1080/01431160902755338>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.7 |
rolling linux/jammy R-4.5 | sta_0.1.7.tar.gz |
1.9 MiB |
0.1.7 |
rolling linux/noble R-4.5 | sta_0.1.7.tar.gz |
1.9 MiB |
0.1.7 |
rolling source/ R- | sta_0.1.7.tar.gz |
1.9 MiB |
0.1.7 |
latest linux/jammy R-4.5 | sta_0.1.7.tar.gz |
1.9 MiB |
0.1.7 |
latest linux/noble R-4.5 | sta_0.1.7.tar.gz |
1.9 MiB |
0.1.7 |
latest source/ R- | sta_0.1.7.tar.gz |
1.9 MiB |
0.1.7 |
2026-04-26 source/ R- | sta_0.1.7.tar.gz |
1.9 MiB |
0.1.7 |
2026-04-23 source/ R- | sta_0.1.7.tar.gz |
1.9 MiB |
0.1.7 |
2026-04-09 windows/windows R-4.5 | sta_0.1.7.zip |
1.9 MiB |
0.1.7 |
2025-04-20 source/ R- | sta_0.1.7.tar.gz |
1.9 MiB |
Dependencies (latest)
Depends
Imports
- trend (>= 1.1.1)
- doParallel (>= 1.0.14)
- mapview (>= 2.7.0)
- RColorBrewer (>= 1.1-2)