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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 |
Reference manual: | sta.pdf |
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 |
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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.