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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 conabio.gob.mx>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: sta results

Documentation:

Reference manual: sta.pdf

Downloads:

Package source: sta_0.1.7.tar.gz
Windows binaries: r-devel: sta_0.1.7.zip, r-release: sta_0.1.7.zip, r-oldrel: sta_0.1.7.zip
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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.