Package 'cowfootR'

Benchmark area intensity against regional data

Description

Benchmark area intensity against regional data

Usage

benchmark_area_intensity(
  cf_area_intensity,
  region = NULL,
  benchmark_data = NULL
)

Arguments

cf_area_intensity	A cf_area_intensity object
region	Character. Region for comparison ("uruguay", "argentina", "brazil", "new_zealand", "ireland", "global")
benchmark_data	Named list. Custom benchmark data with mean and range

Value

Original object with added benchmarking information

Examples

res <- calc_intensity_area(total_emissions = 90000, area_total_ha = 150, area_productive_ha = 140)
out <- benchmark_area_intensity(res, region = "uruguay")
# str(out$benchmarking)

---

Batch carbon footprint calculation

Description

Processes a data.frame of farms and computes annual emissions per farm, returning a summary plus per-farm details (optionally).

Usage

calc_batch(
  data,
  tier = 2,
  boundaries = set_system_boundaries("farm_gate"),
  benchmark_region = NULL,
  save_detailed_objects = FALSE
)

Arguments

data	A data.frame with one row per farm and annual activity data. At minimum, the following columns are required: FarmID: Unique farm identifier. Milk_litres: Annual milk production (litres/year). Cows_milking: Number of milking cows. Additional columns are optional and enable more detailed Tier 2 calculations, including herd structure, feed intake, manure management, soil nitrogen inputs, energy use, and purchased inputs. When optional variables are not provided, default IPCC- or IDF-consistent values are used. All inputs are assumed to represent one accounting year.
tier	Integer; methodology tier (usually 1 or 2). Default = 2.
boundaries	System boundaries as returned by set_system_boundaries().
benchmark_region	Optional character string specifying a geographic or regional benchmark (e.g., country or production region). When provided, emission intensity results are compared against region-specific reference values using internal benchmarking functions. This argument does not affect emission calculations and is only used for comparative performance assessment.
save_detailed_objects	Logical; if TRUE, returns detailed objects per farm.

Details

The input data frame is intentionally flexible to support heterogeneous data availability across farms. Each row represents one farm and all inputs are assumed to correspond to a single accounting year, unless explicitly stated otherwise by the column name (e.g., *_kg_day).

Column names follow cowfootR conventions. The complete and authoritative specification of supported input columns (including expected units and whether they are required or optional) is provided by the Excel template generated with cf_download_template(). This template represents the full set of columns that can be used by calc_batch().

In addition, the vignettes "Get started" and "IPCC Methodology Tiers in cowfootR" describe how these columns are used conceptually and methodologically.

Tier 2–relevant optional columns: When tier = 2, calc_batch() uses additional farm-specific information if available. The most relevant optional columns include:

• Enteric fermentation: Milk_yield_kg_cow_year, Body_weight_cows_kg, MS_intake_cows_milking_kg_day, Ym_percent.

• Young stock (optional refinement): Body_weight_heifers_kg, Body_weight_calves_kg, Body_weight_bulls_kg, MS_intake_heifers_kg_day, MS_intake_calves_kg_day, MS_intake_bulls_kg_day.

• Manure management: Manure_system, Diet_digestibility, Protein_intake_kg_day, Retention_days, System_temperature, Climate_zone.

If any Tier 2–relevant column is missing, the function automatically falls back to Tier 1–consistent default assumptions following IPCC and IDF guidance. Missing optional inputs therefore do not cause errors.

Value

A list with $summary and $farm_results; class cf_batch_complete. Absolute emissions returned in $farm_results (e.g., emissions_total, emissions_enteric, emissions_manure, etc.) are annual emissions expressed as kg CO2-equivalent per year (kg CO2eq yr-1) at the farm (system) level, within the defined system boundaries. Intensity metrics are reported as kg CO2eq per kg FPCM and kg CO2eq per ha (based on annual milk production and managed area).

Examples

farms <- data.frame(
  FarmID = c("A", "B"),
  Milk_litres = c(5e5, 7e5),
  Cows_milking = c(100, 140)
)
res <- calc_batch(
  data = farms,
  tier = 2,
  boundaries = set_system_boundaries("farm_gate"),
  benchmark_region = "uruguay",
  save_detailed_objects = FALSE
)
str(res$summary)

---

Calculate energy-related emissions

Description

Estimates CO2 emissions from fossil fuel use and electricity consumption on dairy farms following IDF/IPCC methodology.

Usage

calc_emissions_energy(
  diesel_l = 0,
  petrol_l = 0,
  lpg_kg = 0,
  natural_gas_m3 = 0,
  electricity_kwh = 0,
  country = "UY",
  ef_diesel = 2.67,
  ef_petrol = 2.31,
  ef_lpg = 3,
  ef_natural_gas = 2,
  ef_electricity = NULL,
  include_upstream = FALSE,
  energy_breakdown = NULL,
  boundaries = NULL
)

Arguments

diesel_l	Numeric. Diesel consumption (liters/year). Default = 0.
petrol_l	Numeric. Petrol/gasoline consumption (liters/year). Default = 0.
lpg_kg	Numeric. LPG/propane consumption (kg/year). Default = 0.
natural_gas_m3	Numeric. Natural gas consumption (m³/year). Default = 0.
electricity_kwh	Numeric. Electricity consumption (kWh/year). Default = 0.
country	Character. Country code for electricity grid factors. Default = "UY" (Uruguay). Options include "UY", "AR", "BR", "NZ", "US", etc.
ef_diesel	Numeric. Emission factor for diesel (kg CO2/liter). Default = 2.67 (IPCC 2019, combustion).
ef_petrol	Numeric. Emission factor for petrol (kg CO2/liter). Default = 2.31 (IPCC 2019).
ef_lpg	Numeric. Emission factor for LPG (kg CO2/kg). Default = 3.0 (IPCC 2019).
ef_natural_gas	Numeric. Emission factor for natural gas (kg CO2/m³). Default = 2.0 (IPCC 2019).
ef_electricity	Numeric. Emission factor for electricity (kg CO2/kWh). If NULL, uses country-specific grid factors.
include_upstream	Logical. Include upstream emissions from fuel production? Default = FALSE (combustion only).
energy_breakdown	Optional. Detailed breakdown by equipment/use (list or data.frame). If list, each element can include diesel_l, petrol_l, lpg_kg, natural_gas_m3, electricity_kwh.
boundaries	Optional. An object from set_system_boundaries(). If "energy" is not included, returns an excluded record.

Value

A list with detailed emissions by fuel type, total (co2eq_kg), metadata, and (if provided) breakdown by use. Compatible with calc_total_emissions().

Examples

# Minimal, fast example (<<1s)
res <- calc_emissions_energy(
  diesel_l = 10,
  electricity_kwh = 100,
  country = "UY"
)
print(res$co2eq_kg)

---

Calculate enteric methane emissions

Description

Estimates enteric methane (CH4) emissions from cattle using IPCC Tier 1 or Tier 2 approaches with practical defaults for dairy systems.

Usage

calc_emissions_enteric(
  n_animals,
  cattle_category = "dairy_cows",
  production_system = "mixed",
  avg_milk_yield = 6000,
  avg_body_weight = NULL,
  dry_matter_intake = NULL,
  feed_inputs = NULL,
  ym_percent = 6.5,
  emission_factor_ch4 = NULL,
  tier = 1L,
  gwp_ch4 = 27.2,
  boundaries = NULL
)

Arguments

n_animals	Numeric scalar > 0. Number of animals.
cattle_category	Character. One of "dairy_cows", "heifers", "calves", "bulls". Default = "dairy_cows".
production_system	Character. One of "intensive", "extensive", "mixed". Default = "mixed".
avg_milk_yield	Numeric >= 0. Average annual milk yield per cow (kg/year). Default = 6000. Used in Tier 2 fallback for dairy cows.
avg_body_weight	Numeric > 0. Average live weight (kg). If NULL, a category-specific default is used (e.g. 550 kg for dairy cows).
dry_matter_intake	Numeric > 0. Dry matter intake (kg/animal/day). If provided (Tier 2), overrides body-weight/energy-based estimation.
feed_inputs	Named numeric vector/list with feed DM amounts in kg/year per herd (e.g., grain_dry, grain_wet, byproducts, proteins). Optional. If given and dry_matter_intake is NULL, DMI is inferred as sum(feed_inputs)/(n_animals*365).
ym_percent	Numeric in (0, 100]. Methane conversion factor Ym (% of GE to CH4). Default = 6.5.
emission_factor_ch4	Numeric > 0. If provided, CH4 EF (kg CH4/head/year) is used directly; otherwise it is calculated (Tier 1 or Tier 2).
tier	Integer 1 or 2. Default = 1.
gwp_ch4	Numeric. GWP for CH4 (100-yr, AR6). Default = 27.2.
boundaries	Optional list from set_system_boundaries().

Value

A list with annual CH4 emissions and annual CO2-equivalent emissions.

• ch4_kg: annual CH4 emissions (kg CH4 yr-1)

• co2eq_kg: annual CO2-equivalent emissions (kg CO2eq yr-1), for compatibility with calc_total_emissions()

• units_ch4 and units_co2eq: explicit unit strings

Examples

# Tier 1, mixed dairy cows
calc_emissions_enteric(n_animals = 100)

# Tier 2 with explicit DMI
calc_emissions_enteric(
  n_animals = 120, tier = 2, avg_milk_yield = 7500, dry_matter_intake = 18
)

# Boundary exclusion: enteric not included
b <- list(include = c("manure", "energy"))
calc_emissions_enteric(100, boundaries = b)$co2eq_kg # NULL → excluded

---

Calculate indirect emissions from purchased inputs

Description

Estimates CO2e emissions from purchased inputs such as feeds, fertilizers, and plastics using regional factors, with optional uncertainty analysis.

Usage

calc_emissions_inputs(
  conc_kg = 0,
  fert_n_kg = 0,
  plastic_kg = 0,
  feed_grain_dry_kg = 0,
  feed_grain_wet_kg = 0,
  feed_ration_kg = 0,
  feed_byproducts_kg = 0,
  feed_proteins_kg = 0,
  feed_corn_kg = 0,
  feed_soy_kg = 0,
  feed_wheat_kg = 0,
  region = "global",
  fert_type = "mixed",
  plastic_type = "mixed",
  include_uncertainty = FALSE,
  transport_km = NULL,
  ef_conc = NULL,
  ef_fert = NULL,
  ef_plastic = NULL,
  boundaries = NULL
)

Arguments

conc_kg	Numeric. Purchased concentrate feed (kg/year). Default = 0.
fert_n_kg	Numeric. Purchased nitrogen fertilizer (kg N/year). Default = 0.
plastic_kg	Numeric. Agricultural plastics used (kg/year). Default = 0.
feed_grain_dry_kg	Numeric. Grain dry (kg/year, DM). Default = 0.
feed_grain_wet_kg	Numeric. Grain wet (kg/year, DM). Default = 0.
feed_ration_kg	Numeric. Ration (total mixed ration) (kg/year, DM). Default = 0.
feed_byproducts_kg	Numeric. Byproducts (kg/year, DM). Default = 0.
feed_proteins_kg	Numeric. Protein feeds (kg/year, DM). Default = 0.
feed_corn_kg	Numeric. Corn (kg/year, DM). Default = 0.
feed_soy_kg	Numeric. Soybean meal (kg/year, DM). Default = 0.
feed_wheat_kg	Numeric. Wheat (kg/year, DM). Default = 0.
region	Character. "EU","US","Brazil","Argentina","Australia","global". Default "global".
fert_type	Character. "urea","ammonium_nitrate","mixed","organic". Default "mixed".
plastic_type	Character. "LDPE","HDPE","PP","mixed". Default "mixed".
include_uncertainty	Logical. Include uncertainty ranges? Default FALSE.
transport_km	Numeric. Average feed transport distance (km). Optional.
ef_conc, ef_fert, ef_plastic	Numeric overrides for emission factors (kg CO2e per unit).
boundaries	Optional. Object from set_system_boundaries().

Details

Notes:

• When system boundaries exclude "inputs", this function MUST return a list with source = "inputs" and a numeric co2eq_kg = 0 to satisfy partial-boundaries integration.

• The primary total field is co2eq_kg (for compatibility with calc_total_emissions()); total_co2eq_kg is included as a duplicate for convenience.

Value

A list with fields:

• source = "inputs"

• emissions_breakdown (named values per input)

• co2eq_kg (numeric total)

• total_co2eq_kg (duplicate of co2eq_kg)

• emission_factors_used, inputs_summary, contribution_analysis, uncertainty (if requested)

• metadata (methodology, standards, date)

Examples

# Quick example (runs fast)
calc_emissions_inputs(conc_kg = 1000, fert_n_kg = 200, region = "EU")

# With uncertainty analysis
calc_emissions_inputs(feed_corn_kg = 2000, region = "US", include_uncertainty = TRUE)

---

Calculate manure management emissions (Tier 1 & Tier 2)

Description

Estimates CH4 and N2O emissions from manure management using IPCC Tier 1 or Tier 2 methodology with practical settings for dairy systems.

Usage

calc_emissions_manure(
  n_cows,
  manure_system = "pasture",
  tier = 1L,
  ef_ch4 = NULL,
  n_excreted = 100,
  ef_n2o_direct = 0.02,
  include_indirect = FALSE,
  climate = "temperate",
  avg_body_weight = 600,
  diet_digestibility = 0.65,
  protein_intake_kg = NULL,
  retention_days = NULL,
  system_temperature = NULL,
  gwp_ch4 = 27.2,
  gwp_n2o = 273,
  boundaries = NULL
)

Arguments

n_cows	Numeric scalar > 0. Number of dairy cows.
manure_system	Character. One of "pasture", "solid_storage", "liquid_storage", "anaerobic_digester". Default = "pasture".
tier	Integer. IPCC tier (1 or 2). Default = 1.
ef_ch4	Numeric. CH4 EF (kg CH4/cow/year). If NULL, system-specific defaults are used (Tier 1 only).
n_excreted	Numeric. N excreted per cow per year (kg N). Default = 100. In Tier 2 it may be recalculated if protein intake is provided.
ef_n2o_direct	Numeric. Direct N2O-N EF (kg N2O-N per kg N). Default = 0.02.
include_indirect	Logical. Include indirect N2O (volatilization + leaching)? Default = FALSE.
climate	Character. One of "cold", "temperate", "warm". Default = "temperate" (Tier 2).
avg_body_weight	Numeric. Average live weight (kg). Default = 600 (Tier 2).
diet_digestibility	Numeric in (0, 1]. Apparent digestibility. Default = 0.65 (Tier 2).
protein_intake_kg	Numeric. Daily protein intake (kg/day). If provided, Tier 2 can refine N excretion.
retention_days	Numeric. Days manure remains in system (Tier 2 adjustment).
system_temperature	Numeric. Average system temperature (Tier 2 adjustment).
gwp_ch4	Numeric. GWP for CH4 (AR6). Default = 27.2.
gwp_n2o	Numeric. GWP for N2O (AR6). Default = 273.
boundaries	Optional list from set_system_boundaries().

Value

A list with CH4 (kg), N2O (kg), CO2eq (kg), metadata, and per-cow metrics. The returned object includes a co2eq_kg field compatible with calc_total_emissions(). Absolute emissions are annual farm-level emissions (kg CO2eq yr-1) within the defined system boundaries.

Examples

# Tier 1, liquid storage
calc_emissions_manure(n_cows = 120, manure_system = "liquid_storage")

# Tier 1 with indirect N2O
calc_emissions_manure(n_cows = 120, manure_system = "solid_storage", include_indirect = TRUE)

# Tier 2 (VS_B0_MCF approach) with refinements
calc_emissions_manure(
  n_cows = 100, manure_system = "liquid_storage", tier = 2,
  avg_body_weight = 580, diet_digestibility = 0.68, climate = "temperate",
  protein_intake_kg = 3.2, include_indirect = TRUE
)

---

Calculate soil N2O emissions

Description

Estimates direct and indirect N2O emissions from soils due to fertilisation, excreta deposition and crop residues, following a Tier 1-style IPCC approach.

Usage

calc_emissions_soil(
  n_fertilizer_synthetic = 0,
  n_fertilizer_organic = 0,
  n_excreta_pasture = 0,
  n_crop_residues = 0,
  area_ha = NULL,
  soil_type = "well_drained",
  climate = "temperate",
  ef_direct = NULL,
  include_indirect = TRUE,
  gwp_n2o = 273,
  boundaries = NULL
)

Arguments

n_fertilizer_synthetic	Numeric. Synthetic N fertiliser applied (kg N/year). Default = 0.
n_fertilizer_organic	Numeric. Organic N fertiliser applied (kg N/year). Default = 0.
n_excreta_pasture	Numeric. N excreted directly on pasture (kg N/year). Default = 0.
n_crop_residues	Numeric. N in crop residues returned to soil (kg N/year). Default = 0.
area_ha	Numeric. Total farm area (ha). Optional, for per-hectare metrics.
soil_type	Character. "well_drained" or "poorly_drained". Default = "well_drained".
climate	Character. "temperate" or "tropical". Default = "temperate".
ef_direct	Numeric. Direct EF for N2O-N (kg N2O-N per kg N input). If NULL, uses IPCC-style values by soil/climate.
include_indirect	Logical. Include indirect N2O (volatilisation + leaching)? Default = TRUE.
gwp_n2o	Numeric. GWP of N2O. Default = 273 (IPCC AR6).
boundaries	Optional. Object from set_system_boundaries(). If soil is excluded, returns co2eq_kg = 0.

Details

IMPORTANT: When system boundaries exclude soil, this function must return a list with source = "soil" and co2eq_kg = 0 (numeric zero) to match partial-boundaries integration tests.

Value

A list with at least source="soil" and co2eq_kg (numeric), plus detailed breakdown metadata when included by boundaries. Absolute emissions are annual farm-level emissions (kg CO2eq yr-1) within the defined system boundaries.

Examples

# Direct + indirect (default), temperate, well-drained
calc_emissions_soil(
  n_fertilizer_synthetic = 2500,
  n_fertilizer_organic   = 500,
  n_excreta_pasture      = 1200,
  n_crop_residues        = 300,
  area_ha                = 150
)

# Direct-only
calc_emissions_soil(n_fertilizer_synthetic = 2000, include_indirect = FALSE)

# Boundary exclusion example
b <- list(include = c("energy", "manure")) # soil not included
calc_emissions_soil(n_fertilizer_synthetic = 1000, boundaries = b)$co2eq_kg # 0

---

Calculate carbon footprint intensity per hectare

Description

Computes emissions intensity per unit of land area for dairy farm analysis.

Usage

calc_intensity_area(
  total_emissions,
  area_total_ha,
  area_productive_ha = NULL,
  area_breakdown = NULL,
  validate_area_sum = TRUE
)

Arguments

total_emissions	Numeric or cf_total object. Total emissions in kg CO2eq (from calc_total_emissions()) or the object itself.
area_total_ha	Numeric. Total farm area in hectares.
area_productive_ha	Numeric. Productive/utilized area in hectares. If NULL, uses total area. Default = NULL.
area_breakdown	Named list or named numeric vector. Optional detailed area breakdown by land use type. Names should be descriptive (e.g., "pasture_permanent", "crops_feed").
validate_area_sum	Logical. Check if area breakdown sums to total? Default = TRUE.

Details

The area_breakdown parameter allows detailed tracking by land use:

area_breakdown = list(
  pasture_permanent = 80,
  pasture_temporary = 20,
  crops_feed = 15,
  crops_cash = 5,
  infrastructure = 2,
  woodland = 8
)

Value

A list of class "cf_area_intensity" with intensity metrics and area analysis.

Examples

# Basic calculation
calc_intensity_area(total_emissions = 85000, area_total_ha = 120)

# With productive area distinction
calc_intensity_area(
  total_emissions = 95000,
  area_total_ha = 150,
  area_productive_ha = 135
)

# With area breakdown
area_detail <- list(
  pasture_permanent = 80,
  pasture_temporary = 25,
  crops_feed = 20,
  infrastructure = 3,
  woodland = 7
)
calc_intensity_area(
  total_emissions = 88000,
  area_total_ha = 135,
  area_breakdown = area_detail
)

# Using with calc_total_emissions output
#

# b <- set_system_boundaries("farm_gate")
# e1 <- calc_emissions_enteric(100, boundaries = b)
# e2 <- calc_emissions_manure(100, boundaries = b)
# tot <- calc_total_emissions(e1, e2)
# calc_intensity_area(tot, area_total_ha = 120)
#

---

Calculate carbon footprint intensity per kg of milk

Description

Computes emissions intensity as kg CO2eq per kg of fat- and protein-corrected milk (FPCM).

Usage

calc_intensity_litre(
  total_emissions,
  milk_litres,
  fat = 4,
  protein = 3.3,
  milk_density = 1.03
)

Arguments

total_emissions	Numeric or cf_total object. Total emissions in kg CO2eq (from calc_total_emissions()) or the object itself.
milk_litres	Numeric. Annual milk production in litres.
fat	Numeric. Average fat percentage of milk (0-100). Default = 4.
protein	Numeric. Average protein percentage of milk (0-100). Default = 3.3.
milk_density	Numeric. Milk density in kg/L. Default = 1.03.

Details

The correction to FPCM (fat- and protein-corrected milk) follows the IDF formula:

$FPCM = milk_kg * (0.1226 * fat_pct + 0.0776 * protein_pct + 0.2534)$

Where milk_kg = milk_litres * milk_density

Value

A list of class "cf_intensity" with intensity (kg CO2eq/kg FPCM), FPCM production, and calculation details.

Examples

# Using numeric total emissions directly
calc_intensity_litre(total_emissions = 85000, milk_litres = 750000)

# If you have a cf_total object 'tot' (e.g., from calc_total_emissions):
# calc_intensity_litre(tot, milk_litres = 750000)

---

Calculate total emissions (robust and boundary-aware)

Description

Aggregates results from different sources (enteric, manure, soil, energy, inputs) even if they don't use exactly the same field name for the total.

Usage

calc_total_emissions(...)

Arguments

...	Results from calc_emissions_*() functions (lists).

Details

IMPORTANT: If a source explicitly reports co2eq_kg = NULL (e.g. excluded by system boundaries), it is treated as zero and no fallback summation is attempted.

Value

Object of class cf_total including:

• total_co2eq: total absolute emissions (kg CO2eq yr-1)

• co2eq_kg: alias of total absolute emissions (kg CO2eq yr-1)

• total_co2eq_kg: alias of total absolute emissions (kg CO2eq yr-1)

• breakdown: named numeric vector by source (kg CO2eq yr-1)

• by_source: data.frame with source, co2eq_kg, and units

• units_total, units_by_source: unit strings

• units: list of unit strings (at least units$co2eq_kg)

---

Export cowfootR batch results to Excel

Description

Exports results from calc_batch() into an Excel file with summary and farm-level sheets. Emission columns are exported as annual emissions (kg CO2eq yr-1). Intensity columns are exported as kg CO2eq per kg FPCM and kg CO2eq per ha.

Usage

export_hdc_report(
  batch_results,
  file = "cowfootR_report.xlsx",
  include_details = FALSE
)

Arguments

batch_results	A cf_batch_complete object returned by calc_batch().
file	Path to the Excel file to save. Default = "cowfootR_report.xlsx".
include_details	Logical. If TRUE, includes extra sheets with detailed objects (if available).

Value

Invisibly returns the file path. The Excel output includes unit-consistent columns for annual emissions (kg CO2eq yr-1) and emission intensities.

Examples

# Minimal dummy object (como el devuelto por calc_batch)
br <- list(
  summary = list(
    n_farms_processed = 1L,
    n_farms_successful = 1L,
    n_farms_with_errors = 0L,
    boundaries_used = list(scope = "farm_gate"),
    benchmark_region = NA_character_,
    processing_date = Sys.Date()
  ),
  farm_results = list(list(
    success = TRUE,
    farm_id = "Farm_A",
    year = format(Sys.Date(), "%Y"),
    emissions_enteric = 100, emissions_manure = 50, emissions_soil = 20,
    emissions_energy = 10, emissions_inputs = 5, emissions_total = 185,
    intensity_milk_kg_co2eq_per_kg_fpcm = 1.2,
    intensity_area_kg_co2eq_per_ha_total = 800,
    intensity_area_kg_co2eq_per_ha_productive = 1000,
    fpcm_production_kg = 150000, milk_production_kg = 154500,
    milk_production_litres = 150000,
    land_use_efficiency = 3000,
    total_animals = 200, dairy_cows = 120,
    benchmark_region = NA_character_, benchmark_performance = NA_character_,
    processing_date = Sys.Date(), boundaries_used = "farm_gate",
    tier_used = "tier_2", detailed_objects = NULL
  ))
)
class(br) <- "cf_batch_complete"

f <- tempfile(fileext = ".xlsx")
export_hdc_report(br, file = f)
file.exists(f)

---

Print method for cf_area_intensity objects

Description

Print method for cf_area_intensity objects

Usage

## S3 method for class 'cf_area_intensity'
print(x, ...)

Arguments

x	A cf_area_intensity object
...	Additional arguments (ignored)

Value

No return value, called for side effects. Prints formatted area intensity information to the console and invisibly returns the input object.

The input object x, invisibly.

Examples

x <- list(
  intensity_per_total_ha = 900,
  intensity_per_productive_ha = 1100,
  land_use_efficiency = 0.92,
  total_emissions_co2eq = 108000,
  area_total_ha = 120,
  area_productive_ha = 110,
  date = Sys.Date()
)
class(x) <- "cf_area_intensity"
print(x)

---

Print method for cf_intensity objects

Description

Print method for cf_intensity objects

Usage

## S3 method for class 'cf_intensity'
print(x, ...)

Arguments

x	A cf_intensity object
...	Additional arguments (ignored)

Value

No return value, called for side effects. Prints formatted carbon footprint intensity information to the console and invisibly returns the input object.

The input object x, invisibly.

Examples

x <- list(
  intensity_co2eq_per_kg_fpcm = 0.9,
  total_emissions_co2eq = 85000,
  milk_production_litres = 750000,
  milk_production_kg = 750000 * 1.03,
  fpcm_production_kg = 750000 * 1.03 * (0.1226 * 4 + 0.0776 * 3.3 + 0.2534),
  fat_percent = 4, protein_percent = 3.3, milk_density_kg_per_l = 1.03,
  date = Sys.Date()
)
class(x) <- "cf_intensity"
# print(x)

---

Print method for cf_total objects

Description

Print method for cf_total objects

Usage

## S3 method for class 'cf_total'
print(x, ...)

Arguments

x	A cf_total object
...	Additional arguments passed to print methods (currently ignored)

Value

The input object x, invisibly.

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Define system boundaries for carbon footprint calculation

Description

Define system boundaries for carbon footprint calculation

Usage

set_system_boundaries(scope = "farm_gate", include = NULL)

Arguments

scope	Character. Options: "farm_gate" (default): includes enteric, manure, soil, energy, inputs "cradle_to_farm_gate": includes feed production + farm emissions "partial": user-specified
include	Character vector of processes to include (optional).

Value

A list with $scope and $include

Examples

b1 <- set_system_boundaries("farm_gate")
b2 <- set_system_boundaries(include = c("enteric", "manure", "soil"))
b3 <- set_system_boundaries(include = c("enteric", "manure"))
b1$scope
b2$include
b3$include

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