sta: Seasonal Trend Analysis for Time Series Imagery in R

Efficiently estimate shape parameters of periodic time series imagery (raster stacks) 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: 0.1.5
Depends: raster (≥ 2.9-5), R (≥ 3.5.0), geoTS (≥ 0.1.1), foreach (≥ 1.4.4), parallel (≥ 3.6.1)
Imports: methods, trend (≥ 1.1.1), doParallel (≥ 1.0.14), iterators (≥ 1.0.10), mapview (≥ 2.7.0), RColorBrewer (≥ 1.1-2), rgdal (≥ 0.9-1)
Suggests: sp (≥ 1.2-0), grDevices
Published: 2021-02-17
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_0.1.5.tar.gz
Windows binaries: r-devel:, r-release: not available, r-oldrel: not available
macOS binaries: r-release: sta_0.1.5.tgz, r-oldrel: sta_0.1.5.tgz


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