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The function fldmean computes the spatial weighted average for each timestep.
fldmean
fldmean(x)# S4 method for Raster fldmean(x)# S4 method for data.table fldmean(x)# S4 method for character fldmean(x)
# S4 method for Raster fldmean(x)
# S4 method for data.table fldmean(x)
# S4 method for character fldmean(x)
data.table
Raster* object; data.table (see details); filename (character, see details)
If `x` is a data.table, its columns should be named: "lon", "lat", "date", and "value"
If `x` is a filename, it should point to a *.nc file.
if (FALSE) { download_data("gldas-vic", tempdir(), timestep = "yearly") r <- raster::brick(paste0(tempdir(), "/gldas-vic_tp_mm_land_194801_201412_025_yearly.nc")) s <- fldmean(r) }
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