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geoTS: Methods for Handling and Analyzing Time Series of Satellite Images (original) (raw)

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: 0.1.10
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: 2025-08-28
DOI: 10.32614/CRAN.package.geoTS
Author: Inder Tecuapetla-Gómez [aut, cre]
Maintainer: Inder Tecuapetla-Gómez
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: geoTS results

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