search for: raster_data

...te) # For date manipulation > library(openxlsx) # For writing Excel files # Specify the file paths > grib_file_path <- "C:/Users/Omrab_Lab/Downloads/Met.grib" > excel_file_path <- "C:/Users/Omrab_Lab/Downloads/Met_updated.xlsx" # Open the GRIB file > raster_data <- stack(grib_file_path) # Check the names of the layers to identify which ones to extract > layer_names <- names(raster_data) > print(layer_names) # Prints > # Extract layers based on layer names - adjust as necessary > t2m <- raster_data[[grep("t2m", layer_name...

...; library(openxlsx) # For writing Excel files > > # Specify the file paths > > grib_file_path <- "C:/Users/Omrab_Lab/Downloads/Met.grib" > > excel_file_path <- "C:/Users/Omrab_Lab/Downloads/Met_updated.xlsx" > > # Open the GRIB file > > raster_data <- stack(grib_file_path) > > # Check the names of the layers to identify which ones to extract > > layer_names <- names(raster_data) > > print(layer_names) # Prints > > > > # Extract layers based on layer names - adjust as necessary > > t2m <- raster_d...

...ng Excel files > > > > # Specify the file paths > > > grib_file_path <- "C:/Users/Omrab_Lab/Downloads/Met.grib" > > > excel_file_path <- "C:/Users/Omrab_Lab/Downloads/Met_updated.xlsx" > > > > # Open the GRIB file > > > raster_data <- stack(grib_file_path) > > > > # Check the names of the layers to identify which ones to extract > > > layer_names <- names(raster_data) > > > print(layer_names) # Prints > > > > > > > # Extract layers based on layer names - adjust as nec...

...t;>> >>> # Specify the file paths >>>> grib_file_path <- "C:/Users/Omrab_Lab/Downloads/Met.grib" >>>> excel_file_path <- "C:/Users/Omrab_Lab/Downloads/Met_updated.xlsx" >>> >>> # Open the GRIB file >>>> raster_data <- stack(grib_file_path) >>> >>> # Check the names of the layers to identify which ones to extract >>>> layer_names <- names(raster_data) >>>> print(layer_names) # Prints >>> >>> >>>> # Extract layers based on layer n...

...# Specify the file paths > >>>> grib_file_path <- "C:/Users/Omrab_Lab/Downloads/Met.grib" > >>>> excel_file_path <- "C:/Users/Omrab_Lab/Downloads/Met_updated.xlsx" > >>> > >>> # Open the GRIB file > >>>> raster_data <- stack(grib_file_path) > >>> > >>> # Check the names of the layers to identify which ones to extract > >>>> layer_names <- names(raster_data) > >>>> print(layer_names) # Prints > >>> > >>> > >>>> #...

...aths >> >>>> grib_file_path <- "C:/Users/Omrab_Lab/Downloads/Met.grib" >> >>>> excel_file_path <- "C:/Users/Omrab_Lab/Downloads/Met_updated.xlsx" >> >>> >> >>> # Open the GRIB file >> >>>> raster_data <- stack(grib_file_path) >> >>> >> >>> # Check the names of the layers to identify which ones to extract >> >>>> layer_names <- names(raster_data) >> >>>> print(layer_names) # Prints >> >>> >> >>&g...

...paths >> >>>> grib_file_path <- "C:/Users/Omrab_Lab/Downloads/Met.grib" >> >>>> excel_file_path <- "C:/Users/Omrab_Lab/Downloads/Met_updated.xlsx" >> >>> >> >>> # Open the GRIB file >> >>>> raster_data <- stack(grib_file_path) >> >>> >> >>> # Check the names of the layers to identify which ones to extract >> >>>> layer_names <- names(raster_data) >> >>>> print(layer_names) # Prints >> >>> >> >>>...

...gt;>> grib_file_path <- "C:/Users/Omrab_Lab/Downloads/Met.grib" > >> >>>> excel_file_path <- "C:/Users/Omrab_Lab/Downloads/Met_updated.xlsx" > >> >>> > >> >>> # Open the GRIB file > >> >>>> raster_data <- stack(grib_file_path) > >> >>> > >> >>> # Check the names of the layers to identify which ones to extract > >> >>>> layer_names <- names(raster_data) > >> >>>> print(layer_names) # Prints > >> >>&...

Dear Bert and Sara; I have searched on the internet and found some way to do this like python. But python is so complicated to me as it needs many steps to be done for reading and converting it. I will try terra package to convert it. On Tue, 25 Jun 2024, 15:15 javad bayat, <j.bayat194 at gmail.com> wrote: > Richard, > Many thanks for your email. > I had attached the grib file to

Whoops, sorry, you *did* answer "what went wrong". > param_names <- c("param1", "param2", "param3", "param4", "param5", "param6") > extracted_data <- extract(raster_data, param_names, df = TRUE) #Error in (function (classes, fdef, mtable) : #unable to find an inherited method for function ?extract? for signature ?"SpatRaster", "character"? OK. The problem is that the extract() function didn't know what to do. What does the documentation...

I'm now inclined to go with 'search for "convert GRIB to CSV". https://confluence.ecmwf.int/display/CKB/How+to+convert+GRIB+to+CSV is the first line. I know that's not an R solution, but using software specifically developed for encoding, decoding, extracting, &c GRIB file by the European Centre for Medium-Range Weather Forecasts and actively maintained, with an example

...gmail.com> wrote: > >> Whoops, sorry, you *did* answer "what went wrong". >>> param_names <- c("param1", "param2", "param3", "param4", "param5", >> "param6") >>> extracted_data <- extract(raster_data, param_names, df = TRUE) >> #Error in (function (classes, fdef, mtable) : >> #unable to find an inherited method for function ?extract? for >> signature ?"SpatRaster", "character"? >> >> OK. The problem is that the extract() function didn'...