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>.

Version: 0.1.7
Depends: raster (≥ 2.9-5), R (≥ 3.5.0), geoTS (≥ 0.1.1), foreach (≥ 1.4.4), parallel (≥ 3.6.1)
Imports: trend (≥ 1.1.1), doParallel (≥ 1.0.14), mapview (≥ 2.7.0), RColorBrewer (≥ 1.1-2)
Suggests: sp (≥ 1.2-0), grDevices
Published: 2022-05-30
DOI: 10.32614/CRAN.package.sta
Author: Inder Tecuapetla-Gomez [aut, cre]
Maintainer: Inder Tecuapetla-Gomez <itecuapetla at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: sta results


Reference manual: sta.pdf


Package source: sta_0.1.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sta_0.1.7.tgz, r-oldrel (arm64): sta_0.1.7.tgz, r-release (x86_64): sta_0.1.7.tgz, r-oldrel (x86_64): sta_0.1.7.tgz
Old sources: sta archive


Please use the canonical form to link to this page.