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 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_0.1.5.tar.gz
Windows binaries: r-devel: sta_0.1.5.zip, r-release: sta_0.1.5.zip, r-oldrel: sta_0.1.5.zip
macOS binaries: r-release (arm64): sta_0.1.5.tgz, r-release (x86_64): sta_0.1.5.tgz, r-oldrel: sta_0.1.5.tgz

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