Nothing
#' Statistical Estimation of Phenological Parameters
#'
#' Estimates phenological dates of satellite imagery time series. Originally
#' conceived to handle \href{https://modis.gsfc.nasa.gov/}{MODIS} time series (especifically
#' \href{https://lpdaac.usgs.gov/products/mod13q1v006/}{MOD13Q1}), this package can handle
#' Earth Observation time series from any satellite mission.
#'
#' @details
#'
#' The main function of this package, \code{\link[sephora]{phenopar}}, allows a \code{numeric}
#' vector containing satellite-based measurements (preferably, vegetation indices for better results).
#' These observations can be construed as realizations of an underlying periodic stochastic process that has been recorded
#' from the first day of the year (DoY) of \code{startYear} to the last DoY of \code{endYear}.
#' Thus, each numeric vector can be assembled as a matrix whose number of rows and columns equal
#' to \code{length(startYear:endYear)} and \code{frequency}, respectively, see \code{\link[sephora]{get_metadata_years}}. Moreover,
#' each row of this matrix can be thought as the realization of the periodic stochastic
#' process throughout a season. Thus, having multiple measurements of such a process, functional
#' principal component methods are employed to extract an underlying idealized (vegetation index) curve.
#'
#' The phenological dates that can be estimated with sephora are:
#'
#' \itemize{
#' \item \bold{Green Up (GU)}.
#'
#' \item \bold{Start of Season (SoS)}.
#'
#' \item \bold{Maturity (Mat)}.
#'
#' \item \bold{Senescence (Sen)}.
#'
#' \item \bold{End of Season (EoS)}.
#'
#' \item \bold{Dormancy (Dor)}.
#' }
#'
#' @name sephora-package
#' @author Tecuapetla-Gómez, I. \email{itecuapetla@@conabio.gob.mx}
#'
#' @section Data handling:
#' The following functions allow to access numeric vectors of time series satellite
#' imagery, in particular, MOD13Q1 time series starting at February 18, 2000.
#'
#' \tabular{ll}{
#' \code{\link{fill_initialgap_MOD13Q1}}\tab Fill first 3 MOD13Q1 observations \cr
#' \code{\link{vecFromData}}\tab Get numeric vector from an RData file \cr
#' \code{\link{vecToMatrix}}\tab Set numeric vector as a matrix \cr
#' \code{\link{get_metadata_years}}\tab Get metadata useful in certain visualizations \cr
#' }
#'
#' @section Modeling:
#' The following functions allow to smooth out and fit a regression model based on
#' Functional Principal Components. Applications of these functions allow to estimate
#' phenological parameters of numeric vectors of Earth Observation time series:
#'
#' \tabular{ll}{
#' \code{\link{ndvi_derivatives}}\tab Derivatives of idealized NDVI curve \cr
#' \code{\link{phenopar}}\tab Estimate phenological dates \cr
#' \code{\link{phenopar_polygon}}\tab Estimate phenological dates (parallel processing) \cr
#' }
#'
#' @section Plotting:
#' Plot methods for numeric and \code{sephora} objects:
#'
#' \tabular{ll}{
#' \code{\link{getSpiralPlot}}\tab Spiral plot of polygon-based phenological date estimates \cr
#' \code{\link{plot.sephora}}\tab Plot methods for \code{\link[sephora]{sephora-class}} object \cr
#' }
#'
#' @section Miscellaneous:
#'
#' \tabular{ll}{
#' \code{\link{datesToDoY}}\tab Maps estimated phenological dates to days of a year \cr
#' \code{\link{getDist_phenoParam}}\tab Access to vectors of phenological date estimates from a list \cr
#' \code{\link{global_min_max}}\tab Global critical points of a curve on a closed interval \cr
#' \code{\link{local_min_max}}\tab Local critical points of a curve on a union of open intervals \cr
#' }
#'
#' @keywords package
#' @docType package
NULL
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.