data_aggregation

This function calculates crop growing seasons using climate variables processed by weighted_climate along with crop calendars for both historical and projected periods. This function prepares climate and yield data for subsequent model fitting.

Usage

data_aggregation(
  climate_hist_dir = NULL,
  climate_impact_dir = NULL,
  climate_model = "gcm",
  climate_scenario = "rcp",
  historical_periods = NULL,
  crop_calendar_file = NULL,
  start_year = NULL,
  end_year = NULL,
  co2_hist = NULL,
  co2_proj = NULL,
  output_dir = file.path(getwd(), "output")
)

Arguments

climate_hist_dir

Default = NULL. String for path to the processed historical climate data folder

climate_impact_dir

Default = NULL. String for path to the processed future climate data folder using weighted_climate function

climate_model

Default = NULL. String for climate model (e.g., 'CanESM5')

climate_scenario

Default = NULL. String for climate scenario (e.g., 'ssp245')

historical_periods

Default = NULL. Vector for years to subset from the historical climate data. If NULL, use the default climate data period

crop_calendar_file

Default = NULL. String for the path of the crop calendar file. If crop_calendar_file is provided, crop_select will be set to crops in crop calendar. User provided crop_calendar_file can include any crops MIRCA2000 crops: "wheat", "maize", "rice", "barley", "rye", "millet", "sorghum", "soybean", "sunflower", "root_tuber", "cassava", "sugarcane", "sugarbeet", "oil_palm", "rape_seed", "groundnuts", "pulses", "citrus", "date_palm", "grapes", "cotton", "cocoa", "coffee", "others_perennial", "fodder_grasses", "others_annual"

start_year

Default = NULL. Integer for the start year of the projected data

end_year

Default = NULL. Integer for the end year of the projected data

co2_hist

Default = NULL. Data table for historical CO2 concentration in columns [year, co2_conc]. If NULL, use built-in CO2 emission data

co2_proj

Default = NULL. Data table for projected CO2 concentration in columns [year, co2_conc]. If NULL, use built-in CO2 emission data

output_dir

Default = file.path(getwd(), 'output'). String for output directory

Value

A list of historical and projected weather variables and crop data.