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Filters the TerraClimate dataset for a specific date range and band, calculates the mean, and exports the resulting image to a local GeoTIFF file.

Usage

rpygee(start_date, end_date, image_band, aoi_fc, file_path, scale = 4000)

Arguments

start_date

The start date for filtering data (e.g., '2020-01-01').

end_date

The end date for filtering data (e.g., '2020-01-31').

image_band

The specific TerraClimate band to export (e.g., 'tmmx').

aoi_fc

The Area of Interest as an `ee.FeatureCollection` to clip the data.

file_path

The full local path, including filename, to save the output .tif file.

scale

The spatial resolution for the export in meters. Defaults to 4000.

Examples

if (FALSE) { # \dontrun{
# Initialize GEE
py_env_path <- "C:/Users/pulak/anaconda3/envs/maps/python.exe"
activate_rpygee(project_id = "spatialgeography", python_path = py_env_path)

# Define Delhi asset
delhi_asset <- rgee::ee$FeatureCollection("projects/spatialgeography/assets/delhi")

# Export average temperature (tmmx)
rpygee(
  start_date = "2020-01-01",
  end_date = "2020-12-31",
  image_band = "tmmx",
  aoi_fc = delhi_asset,
  file_path = "output/delhi_terraclimate.tif",
  scale = 4000
)
} # }