Package 'mrfeed'

Title: MadRat feed data package
Description: Provides feed related data.
Authors: Isabelle Weindl [aut, cre], Lavinia Baumstark [aut], Benjamin Leon Bodirsky [aut], Nele Steinmetz [aut], Ulrich Kreidenweis [aut], Jan Philipp Dietrich [aut]
Maintainer: Isabelle Weindl <[email protected]>
License: LGPL-3 | file LICENSE
Version: 0.0.11
Built: 2024-09-12 06:08:08 UTC
Source: https://github.com/pik-piam/mrfeed

Help Index

mrfeed: MadRat feed data package

Description

Provides feed related data.

Author(s)

Maintainer: Isabelle Weindl [email protected]

Authors:

See Also

Useful links:

Calculate FAO feed use

Description

Provides primary and secondary agricultural products as well as conversion byproducts used as feed. This is based on feed use values from the Food Balance Sheets (FBS) and Commodity Balance Sheets from FAOSTAT. Function is based on average values of the specified years.

Usage

calcFAOFeed()

Value

FAO feed use and corresponding weights as a list of two MAgPIE objects

Author(s)

Isabelle Weindl

See Also

calcOutput

Examples

## Not run:  
a <- calcFAOFeed()

## End(Not run)

Calculate FAO Fodder Crop aggregated to MAgPIE_FEED sectors

Description

Provides the FAOSTAT Fodder data aggregated to three MAgPIE_FEED fodder categories.

Usage

calcFAOFodder_aggrFEED()

Value

FAO fodder data and corresponding weights as a list of two MAgPIE objects

Author(s)

Isabelle Weindl

See Also

calcOutput, readSource

Examples

## Not run:  

a <- calcOutput("FAOFodder_aggrFEED")


## End(Not run)

Calculate FAO Livestock Primary

Description

Provides the FAO Livestock Primary data. No changes to the content have been done, besides changes to the countries list. Yield information has been removed.

Usage

calcFAOLivePrim()

Value

FAO Livestock Primary data and corresonding weights as a list of two MAgPIE objects

Author(s)

Ulrich Kreidenweis

See Also

calcOutput, readSource

Examples

## Not run:  
calcOutput("LivePrim")


## End(Not run)

Calculate Feed Requirements

Description

Provides MAgPIE-FEED data for Feed Requirement calculated in the regression for feed (calcRegressionFEED). No changes to the content have been done. Usually no weight needed as the data will be used in MAgPIE-FEED model which is country based.

Usage

calcFeedRequirement()

Value

MAgPIE-FEED data for Feed Requirement and corresonding weights as a list of two MAgPIE objects

Author(s)

Lavinia Baumstark, Isabelle Weindl

See Also

calcOutput, calcRegressionFEED, readSource

Examples

## Not run:  
calcOutput("FeedRequirement")


## End(Not run)

Calculate FAO Fodder used as feed aggregated to MAgPIE_FEED sectors

Description

Provides the FAOSTAT Fodder feed use data (in mio ton) aggregated to three MAgPIE_FEED fodder categories.

Usage

calcFeeduseFoddr()

Value

FAO fodder feed use data and corresponding weights as a list of two MAgPIE objects

Author(s)

Isabelle Weindl

See Also

calcProdFoddr, calcOutput, calcFAOFodder_aggrFEED, readSource

Examples

## Not run:  
calcOutput("FeeduseFoddr")


## End(Not run)

Calculate FoodWasteRecycle

Description

Reads in information on the share of food waste recycled for feed use of the source WirseniusPHD. Implementation of a weight calculated by calcDemandAgriculture (y2000, food.ssp2).

Usage

calcFoodWasteRecycle()

Value

MAgPIE object

Author(s)

Nele Steinmetz, Isabelle Weindl, Benjamin Leon Bodirsky

See Also

calcOutput, readWirseniusPHD, convertWirseniusPHD

Examples

## Not run:  
calcOutput("FoodWasteRecycle")


## End(Not run)

Calculate food waste

Description

Provides aggregated household food waste in the units Mt DM, GE, K, NR, P and WM.

Usage

calcHHFoodWaste()

Value

food waste and corresponding weights as a list of two MAgPIE objects

Author(s)

Isabelle Weindl, Benjamin Leon Bodirsky

See Also

calcOutput, calcFoodWasteRecycle

Examples

## Not run:  
a <- calcOutput("HHFoodWaste")

## End(Not run)

Calculate FAO Livestock Production

Description

Provides the FAO Livestock Production data aggregated to MAgPIE categories in million ton wet matter.

Usage

calcLivstProduction()

Value

FAO Livestock Production (WM) and corresonding weights as a list of two MAgPIE objects

Author(s)

Isabelle Weindl

See Also

calcOutput, readSource

Examples

## Not run:  
calcOutput("LivstProduction")


## End(Not run)

Calculate Production allocated to livestock production subsystems

Description

Provides the FAO Livestock Production data differentiated into livestock subsystems in million ton wet matter (based on subsystem allocation from Stefan Wirsenius).

Usage

calcLivstSubProduction()

Value

Livestock Production (WM) and corresonding weights as a list of two MAgPIE objects

Author(s)

Isabelle Weindl

See Also

calcOutput, readWirseniusSubsystems, readSource

Examples

## Not run:  
calcOutput("LivstSubProduction")


## End(Not run)

Calculate Feed Requirements

Description

Provides MAgPIE-FEED data for Nutrient Density calculated in the regression for feed (calcRegressionFEED). No changes to the content have been done. Usually no weight needed as the data will be used in MAgPIE-FEED model which is country based.

Usage

calcNutrientDensity()

Value

MAgPIE-FEED data for NutrientDensity and corresonding weights as a list of two MAgPIE objects

Author(s)

Lavinia Baumstark, Isabelle Weindl

See Also

calcOutput, calcRegressionFEED, readSource

Examples

## Not run:  
calcOutput("NutrientDensity")

## End(Not run)

Calculate FAO Fodder Crop Production aggregated to MAgPIE_FEED sectors

Description

Provides the FAOSTAT Fodder production data (in mio ton) aggregated to three MAgPIE_FEED fodder categories.

Usage

calcProdFoddr()

Value

FAO fodder production data and corresponding weights as a list of two MAgPIE objects

Author(s)

Isabelle Weindl

See Also

calcOutput, calcFAOFodder_aggrFEED, readSource

Examples

## Not run:  
calcOutput("ProdFoddr")


## End(Not run)

Calculate ProdSystRatio for 2000

Description

Provides MAgPIE-FEED data for ProdSystRatio.Usually no weight needed as the data will be used in MAgPIE-FEED model country based. Data aslo used as input for MAgPIE, then an aggregation to regions is needed

Usage

calcProdSystRatio_2000()

Value

MAgPIE[-FEED] data for ProdSystRatio and corresonding weights as a list of two MAgPIE objects

Author(s)

Lavinia Baumstark

See Also

calcOutput, readSource

Examples

## Not run:  
calcOutput("ProdSystRatio_2000")


## End(Not run)

Calculate FEEDRequirement, NutrientDensity and YieldsLive based on regression model

Description

This intermediate-function prepares FEEDRequirement, NutrientDensity and YieldsLive for calc*-functions. As the source data already provides all required information this function purely selects the needed data.

Usage

calcRegressionFEED()

Value

Productivity, feed requirements and nutrient requirements as well as corresonding weights as a list of two MAgPIE objects

Author(s)

Lavinia Baumstark, Isabelle Weindl

See Also

calcOutput, readWirsenius_FEED

Examples

## Not run:  
calcOutput("RegressionFEED")


## End(Not run)

Convert Wirsenius data

Description

Convert Wirsenius data on ISO country level.

Usage

convertWirsenius(x)

Arguments

x

MAgPIE object containing Wirsenius data country-region resolution

Value

Wirsenius data as MAgPIE object aggregated to country level

Author(s)

Lavinia Baumstark

Examples

## Not run:  a <- convertWirsenius(x)

Convert WirseniusPHD data

Description

Convert Wirsenius PHD data on ISO country level.

Usage

convertWirseniusPHD(x)

Arguments

x

MAgPIE object containing Wirsenius PHD data country-region resolution

Value

WirseniusPHD data as MAgPIE object aggregated to country level

Author(s)

Lavinia Baumstark

Examples

## Not run:  a <- convertWirseniusPHD(x)

Convert Wirsenius Livestock Subsystems

Description

Convert data on livestock subsystems structure. Source: Wirsenius.

Usage

convertWirseniusSubsystems(x, subtype)

Arguments

x

the data to be converted?
subtype

Type of subsystem information that should be read in. Available types are: "cattlemeat2milk", "meat2egg" and "feed_beefsys_ratio"

Value

magpie object of selected livestock subsystem data on country level

Author(s)

Isabelle Weindl

See Also

readSource

Examples

## Not run:  
a <- readSource("WirseniusSubsystems","cattlemeat2milk")
a <- readSource("WirseniusSubsystems","meat2egg")
a <- readSource("WirseniusSubsystems","feed_beefsys")

## End(Not run)

fullMAGPIE_FEED

Description

Function that produces the complete country data set required for the MAgPIE-FEED model (preprocessing).

Usage

fullMAGPIE_FEED(rev = 0)

Arguments

rev

data revision which should be used as input (positive numeric).

Author(s)

Isabelle Weindl, Lavinia Baumstark

See Also

readSource, getCalculations, calcOutput

Examples

## Not run: 
fullMAGPIE_FEED()

## End(Not run)

Read Wirsenius

Description

Read-in an Wirsenius data .csv file as magclass object

Usage

readWirsenius()

Value

magpie object of the Wirsenius data

Author(s)

Lavinia Baumstark

See Also

readSource

Examples

## Not run:  a <- readSource(type="Wirsenius")

Read Wirsenius_FEED

Description

Read-in an Wirsenius_FEED data .csv files as one magclass object

Usage

readWirsenius_FEED()

Value

magpie object of the Wirsenius_FEED data

Author(s)

Lavinia Baumstark

See Also

readSource

Examples

## Not run:  a <- readSource("Wirsenius_FEED")

Read Wirsenius PHD

Description

Read-in Wirsenius PHD data .csv file as magclass object

Usage

readWirseniusPHD()

Value

magpie object of the WirseniusPHD data

Author(s)

Lavinia Baumstark

See Also

readSource

Examples

## Not run:  a <- readSource(type="WirseniusPHD")

Read Wirsenius Livestock Subsystems

Description

Read in data on livestock subsystems structure. Source: Wirsenius.

Usage

readWirseniusSubsystems(subtype)

Arguments

subtype

Type of subsystem information that should be read in. Available types are: "cattlemeat2milk", "meat2egg" and "feed_beefsys_ratio"

Value

magpie object of selected livestock subsystem data

Author(s)

Isabelle Weindl

See Also

readSource

Examples

## Not run:  
a <- readSource("WirseniusSubsystems","cattlemeat2milk")
a <- readSource("WirseniusSubsystems","meat2egg")
a <- readSource("WirseniusSubsystems","feed_beefsys")

## End(Not run)