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 |
| DOI: |
10.32614/CRAN.package.sephora |
| 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 |
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