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
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_0.1.3.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: sta

Linking:

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