Nothing
############################################################################################
#' @title Return the Mean Annual Precipitation statistics for a site
#' @author Robert Lee \email{rhlee@@colorado.edu}\cr
#' @description This function calculates the daily miniumum, mean, and maximum
#' precipitation values for a site over its period of record.
#'
#' @param site Parameter of class character.
#' The NEON site data should be downloaded for.
#' @return A list of min, mean and max precipitaiton
#' values at the site, in milimeters
#'
#' @examples
#' \dontrun{
#' cper=Z10::map(site = "CPER")
#' }
#' @export
#' @seealso Currently none
# changelog and author contributions / copyrights
# Robert Lee (2018-10-19)
# original creation
#
##############################################################################################
map=function(site){
dp.id="DP1.00006.001"
avail=dp.avail(dp.id)
months=unlist(avail$months[avail$site==site])
all=lapply(months, function(m) get.data(dp.id = dp.id, site = site, month = m))
ALL=unlist(all, recursive = FALSE)
secondary=ALL[grepl(pattern = "SECPRE", x = names(ALL))]
primary=ALL[grepl(pattern = "PRIPRE", x = names(ALL))]
if(length(secondary)==0){secondary=list(temp=data.frame(endDateTime=NA, Bulk=NA))}
if(length(primary)==0){primary=list(temp=data.frame(endDateTime=NA, Bulk=NA))}
sec.df=data.frame(do.call(rbind, .common.fields(secondary)), row.names = NULL)
pri.df=data.frame(do.call(rbind, .common.fields(primary)), row.names = NULL)
both=list(primary=pri.df, secondary=sec.df)
out=lapply(both, function(x) .sum.do.basic.stats(x, field.key="Bulk"))
out=c(
"primary.map"=out$primary[2]*365.25,
"secondary.map"=out$secondary[2]*365.25
)
if(!is.na(out[1])){out[2]=NA}
return(out)
}
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