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: 2026-10-03 19:54:09 UTC; achour
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: CRAN
Date/Publication: 2026-10-15 16:10:21 UTC
