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geoTS: Methods for Handling and Analyzing Time Series of Satellite Images

Provides functions and methods for: splitting large raster objects into smaller chunks, transferring images from a binary format into raster layers, transferring raster layers into an 'RData' file, calculating the maximum gap (amount of consecutive missing values) of a numeric vector, and fitting harmonic regression models to periodic time series. The homoscedastic harmonic regression model is based on G. Roerink, M. Menenti and W. Verhoef (2000) <doi:10.1080/014311600209814>.

Version: 0.1.8
Depends: R (≥ 3.5.0), raster (≥ 2.9.5)
Imports: doParallel (≥ 1.0.14), ff (≥ 2.2-14), foreach (≥ 1.4.4), parallel (≥ 3.6.1), robustbase (≥ 0.95-0), sp (≥ 1.2-0)
Published: 2022-11-17
DOI: 10.32614/CRAN.package.geoTS
Author: Inder Tecuapetla-Gómez [aut, cre]
Maintainer: Inder Tecuapetla-Gómez <itecuapetla at conabio.gob.mx>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: geoTS results

Documentation:

Reference manual: geoTS.pdf

Downloads:

Package source: geoTS_0.1.8.tar.gz
Windows binaries: r-devel: geoTS_0.1.8.zip, r-release: geoTS_0.1.8.zip, r-oldrel: geoTS_0.1.8.zip
macOS binaries: r-release (arm64): geoTS_0.1.8.tgz, r-oldrel (arm64): geoTS_0.1.8.tgz, r-release (x86_64): geoTS_0.1.8.tgz, r-oldrel (x86_64): geoTS_0.1.8.tgz
Old sources: geoTS archive

Reverse dependencies:

Reverse depends: sephora, sta

Linking:

Please use the canonical form https://CRAN.R-project.org/package=geoTS to link to this page.

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.
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