grlyr: Ground Layer Estimation

#' @name est
#' @title Estimation data
#' @aliases est
#' @docType data
#' @description
#' Estimation data at 96 plots measured in 2014 from interior Alaska,
#'      USA.
#'
#' @usage
#' data(est)
#'
#' @format
#' A data.frame of 6256 observations of functional groups in
#'      microquads.
#'
#' @details
#' Non-destructive measurements were collected for the US Forest
#'      Service's Forest Inventory and Analysis program.  The specific
#'      FIA protocol is the 'Ground Layer Indicator' (FIA 2018), first
#'      implemented as part of the Interior Alaska Inventory beginning
#'      in 2014.  Plot coordinates have been fuzzed.  See Smith et al.
#'      (2015) and Smith et al. (2017) for use in publications.
#'
#' @references
#'
#' Smith, R.J., J.C. Benavides, S. Jovan, M. Amacher, and B. McCune.
#'      2015. A rapid method for landscape assessment of carbon
#'      storage and ecosystem function in moss and lichen ground
#'      layers. The Bryologist 118(1): 32–45.
#'
#' Smith, R. J., S. Jovan, A. N. Gray, and B. McCune. 2017.
#'     Sensitivity of carbon stores in boreal forest moss mats -
#'     effects of vegetation, topography and climate. Plant and Soil
#'     421:31–42.
#'
#' FIA [Forest Inventory and Analysis Program]. 2018. Field
#'      Instructions for the Annual Inventory of Alaska 2018:
#'      Supplement for Interior Alaska. USDA Forest Service, Pacific
#'      Northwest Research Station, Anchorage, Alaska.
#'
#' @keywords datasets
"est"