#' calcValidGS
#'
#' Returns historical FRA 2020 growing stock in million m3
#'
#' @param datasource Currently only available for the "FAO" source
#' @param indicator type of indicator (relative or absolute)
#' @return List of magpie object with growing stock
#' @author Abhijeet Mishra
#' @import magpiesets
#' @importFrom magclass getNames
#' @importFrom magpiesets FRAnames
#'
calcValidGS <- function(datasource="FAO",indicator="relative") {
if(datasource=="FAO"){
a <- collapseNames(readSource("FRA2020",subtype = "growing_stock",convert = TRUE))
indicatorname="Resources|Growing Stock|"
if(indicator=="absolute"){
absolute <- a[,,grep(pattern = "gs_tot",x = getNames(a),value = TRUE)]
indicatorname = paste0(indicatorname,indicator,"|+|")
out <- absolute
getNames(out) <- gsub(pattern = "gs_tot_",replacement = "",x = getNames(out))
getNames(out) <- FRAnames(getNames(out))
unit="Mm3"
weight = NULL
} else if(indicator=="relative"){
relative <- a[,,grep(pattern = "gs_ha",x = getNames(a),value = TRUE)]
indicatorname = paste0(indicatorname,indicator,"|+|")
out <- relative
getNames(out) <- gsub(pattern = "gs_ha_",replacement = "",x = getNames(out))
getNames(out) <- FRAnames(getNames(out))
unit="m3/ha"
weight = collapseNames(readSource("FRA2020",subtype = "forest_area",convert = TRUE))
getNames(weight) = FRAnames(getNames(weight))
weight <- weight[,,getNames(out)]
getNames(weight) <- paste0(indicatorname, getNames(weight)," (",unit,")")
}
getNames(out) <- paste0(indicatorname, getNames(out)," (",unit,")")
out <- add_dimension(out, dim=3.1, add="scenario", nm="historical")
out <- add_dimension(out, dim=3.2, add="model", nm=datasource)
} else stop("No validation data exists for the given datasource!")
return(list(x=out,
weight=weight,
unit=unit,
description="Growing stock from FAO FRA data")
)
}
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