#' PREPROCESS METEOROLOGICAL READ DATA
#' @export be_io_met_annual
be_io_met_annual <- function(filepath, ...){
df_met <- read.table(filepath, header = TRUE, sep = ",", dec = ".")
# Define grouping by year
df_met$g_a <- substr(as.character(df_met$datetime), 1, 4)
# Define grouping by exploratory and land cover type
df_met$g_belc <- substr(as.character(df_met$plotID), 1, 3)
# Define grouping by plot and year
df_met$g_pa <- paste0(as.character(df_met$plotID), "_",
substr(as.character(df_met$datetime), 1, 4))
colnames(df_met)[which(colnames(df_met) == "plotID")] = "EPID"
return(df_met)
}
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