sephora: Statistical Estimation of Phenological Parameters

Provides functions and methods for estimating phenological dates (green up, start of a season, maturity, senescence, end of a season and dormancy) from (nearly) periodic Earth Observation time series. These dates are critical points of some derivatives of an idealized curve which, in turn, is obtained through a functional principal component analysis-based regression model. Some of the methods implemented here are based on T. Krivobokova, P. Serra and F. Rosales (2022) <https://www.sciencedirect.com/science/article/pii/S0167947322000998>. Methods for handling and plotting Earth observation time series are also provided.

Version: 0.1.31
Depends: R (≥ 3.5.0), ggplot2 (≥ 3.3.6), methods, geoTS (≥ 0.1.7), eBsc (≥ 4.15), rootSolve (≥ 1.8.2.3)
Imports: dtwclust (≥ 5.5.10), foreach (≥ 1.4.4), parallel (≥ 3.6.1), doParallel (≥ 1.0.14), dplyr (≥ 1.0.9), nlme (≥ 3.1-157), MASS (≥ 7.3-57), ggnewscale (≥ 0.4.7), spiralize (≥ 1.0.6)
Suggests: TSclust (≥ 1.3.1), bigmemory (≥ 4.6.1), vcd (≥ 1.4-11)
Published: 2024-01-17
Author: Inder Tecuapetla-Gómez [cre, aut] (0000-0001-6251-972X), Fanny Galicia-Gómez [ctb], Francisco Rosales-Marticorena [ctb]
Maintainer: Inder Tecuapetla-Gómez <itecuapetla at conabio.gob.mx>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: sephora results

Documentation:

Reference manual: sephora.pdf

Downloads:

Package source: sephora_0.1.31.tar.gz
Windows binaries: r-prerel: sephora_0.1.31.zip, r-release: sephora_0.1.31.zip, r-oldrel: sephora_0.1.31.zip
macOS binaries: r-prerel (arm64): sephora_0.1.31.tgz, r-release (arm64): sephora_0.1.31.tgz, r-oldrel (arm64): sephora_0.1.31.tgz, r-prerel (x86_64): sephora_0.1.31.tgz, r-release (x86_64): sephora_0.1.31.tgz

Linking:

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