sephora: Statistical Estimation of Phenological Parameters (original) (raw)
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 |
| DOI: | 10.32614/CRAN.package.sephora |
| Author: | Inder Tecuapetla-Gómez [cre, aut] (ORDIC: 0000-0001-6251-972X), Fanny Galicia-Gómez [ctb], Francisco Rosales-Marticorena [ctb] |
| Maintainer: | Inder Tecuapetla-Gómez |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | sephora results |
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