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:

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