Package: RecoverMetricsR
Type: Package
Title: Quantifying Post-Fire Spectral Recovery Metrics
Version: 0.1.0
Authors@R: c(
    person(given = "Hammadi", family = "Achour",
           email = "hammadi.achour@gmail.com",
           role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-6364-3789")),
    person(given = "Amal", family = "Daboussi",
           email = "amal.daboussi001@gmail.com",
           role = "aut"),
    person(given = "Wahbi", family = "Jaouadi",
           email = "jaouadiwahbi@gmail.com",
           role = "aut")
    )
Description: Computes pixel-wise metrics describing post-disturbance
        spectral recovery from a yearly spectral-index time series.
        Metrics include disturbance magnitude (DM), an ordinary least
        squares (OLS) recovery slope, early- and late-period recovery
        rates, recovery-rate change, Relative Recovery Indicator (RRI),
        Ratio of Eighty Percent (R80P), and Year-on-Year recovery
        (YrYr). The RRI, R80P, and YrYr metrics are based on approaches
        described by Frazier et al. (2018)
        <doi:10.1016/j.rse.2017.11.007>. Threshold-based recovery-time
        approaches have been used to quantify post-fire vegetation
        recovery from spectral time series by Chompuchan and Lin (2017)
        <doi:10.1016/j.ecolind.2017.04.038>. Exponential recovery
        formulations have also been applied to post-fire vegetation
        time series by Gouveia et al. (2010)
        <doi:10.5194/nhess-10-673-2010>. Parametric recovery models,
        including exponential, logistic, and Gompertz formulations, are
        provided to characterize nonlinear post-disturbance recovery
        trajectories.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, grid, rlang, stats, terra (>= 1.8)
Suggests: knitr, rmarkdown, sf, testthat (>= 3.0.0)
VignetteBuilder: knitr
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2026-10-15 20:37:25 UTC; root
Author: Hammadi Achour [aut, cre] (ORCID:
        <https://orcid.org/0000-0002-6364-3789>), Amal Daboussi [aut],
        Wahbi Jaouadi [aut]
Maintainer: Hammadi Achour <hammadi.achour@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-15 16:10:21 UTC
RemoteUrl: https://github.com/cran/RecoverMetricsR
RemoteRef: HEAD
RemoteSha: 0d70cb68f11817a4647048b8c8b332ec6ab6562a