goblin_lite.data_processing.grassland_data_generation

This module contains the GrasslandDataGenerator class, which is responsible for generating grassland data and farm outputs. The class leverages the GrasslandOutput class to calculate grassland data and farm outputs based on scenario-specific and baseline grassland data.

Module Contents

Classes

GrasslandDataGenerator

Manages the process of generating grassland data and related farm outputs. Leverages

class goblin_lite.data_processing.grassland_data_generation.GrasslandDataGenerator(goblin_data_manager, scenario_dataframe, scenario_animal_data, baseline_animal_data)

Manages the process of generating grassland data and related farm outputs. Leverages the GrasslandOutput class to perform core calculations.

goblin_data_manager_class

Instance of the GoblinDataManager class.

Type:

object

ef_country

Country code for emission factors.

Type:

str

calibration_year

Base year for model calibration.

Type:

int

target_year

Year of analysis.

Type:

int

scenario_dataframe

Dataframe containing scenario-specific grassland parameters.

Type:

pandas.DataFrame

scenario_animal_data

Dataframe containing animal data for the scenarios.

Type:

pandas.DataFrame

baseline_animal_data

Dataframe containing baseline animal data.

Type:

pandas.DataFrame

generate_farm_inputs()

Generates farm input data (from the GrasslandOutput class) for both baseline and scenario conditions.

generate_grassland_areas()

Calculates total spared grassland, total grassland area, spared area per soil type, grassland stocking rate, and grass yield per hectare.

generate_farm_inputs()

generate_grassland_areas()

Calculate the total spared and total grassland areas for each scenario.

This method calculates and returns the total spared, total grassland areas, spared area by soil group, stocking rate, and grass yield per hectare for each scenario based on the provided scenario_dataframe, scenario_animal_data, and baseline_animal_data attributes. The GrasslandOutput class is utilized to perform the necessary calculations for each scenario.

The total spared area represents the area of grassland that will be converted (destocked) to other land uses (e.g., wetland, forests) in the target year compared to the baseline year. The total grassland area represents the remaining grassland area. Spared area by soil group represents the spared area by soil group (e.g., class 1, 2 and 3). The stocking rate represents the stocking rate per hectare of grassland. The grass yield per hectare represents the yield of grass per hectare of grassland.

Parameters:

• scenario_dataframe (pandas.DataFrame) – A pandas DataFrame containing scenario parameters.

• scenario_animal_data (pandas.DataFrame) – A pandas DataFrame containing animal data for different scenarios.

• baseline_animal_data (pandas.DataFrame) – A pandas DataFrame containing baseline animal data.

Returns:

A tuple containing five pandas DataFrame: (total_spared_area, total_grassland_area, total_spared_area_by_soil_group, per_hectare_stocking_rate, per_hectare_grass_yield).

Return type:

tuple