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 to periodic time series. The methods implemented for harmonic regression are based on G. Roerink, M. Menenti and W. Verhoef (2000) <doi:10.1080/014311600209814>.

Version: 0.1.3
Depends: ff (≥ 2.2-14), raster (≥ 2.9-5), foreach (≥ 1.4.4), parallel (≥ 3.6.1), R (≥ 2.15.3)
Imports: methods, sp (≥ 1.2-0), doParallel (≥ 1.0.14), iterators (≥ 1.0.10)
Published: 2020-03-06
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

Downloads:

Reference manual: geoTS.pdf
Package source: geoTS_0.1.3.tar.gz
Windows binaries: r-devel: geoTS_0.1.3.zip, r-devel-gcc8: geoTS_0.1.3.zip, r-release: geoTS_0.1.3.zip, r-oldrel: not available
OS X binaries: r-release: geoTS_0.1.3.tgz, r-oldrel: not available

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