Difference between revisions of "Cradle through consumer BEA"
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== Answer == | == Answer == | ||
+ | <rcode name="answer" embed=1> | ||
+ | library(OpasnetUtils) | ||
+ | |||
+ | objects.latest("Op_en6286", code_name = "initiate") # [[Cradle through consumer BEA]] | ||
+ | |||
+ | oprint(head(EvalOutput(BEA)@output)) | ||
+ | |||
+ | </rcode> | ||
== Rationale == | == Rationale == | ||
− | <ref>Greg Norris: Personal communication 31 Jan 2014.</ref> | + | <ref>Greg Norris: Personal communication 31 Jan 2014. File name: \\cesium\jtue$\_Documents\Handprinter\CradleThroughConsumerBEA.xls </ref> |
=== Dependencies === | === Dependencies === | ||
− | === | + | [http://en.opasnet.org/en-opwiki/index.php?title=Cradle_through_consumer_BEA&oldid=31473 Code that was used to upload the data] on 5 Feb 2014. [http://en.opasnet.org/en-opwiki/index.php?title=Cradle_through_consumer_BEA&oldid=31477 Upload history] |
+ | |||
+ | The data contains the following impacts: | ||
+ | * Climate change | ||
+ | * Ecosystem quality | ||
+ | * Human health | ||
+ | * Resources | ||
+ | * Water consumption | ||
+ | |||
+ | In addition, there is one table with 430 product categories: Categories | ||
+ | |||
+ | === Calculations === | ||
+ | |||
+ | <rcode name='initiate' label='Initiate variables' embed=1> | ||
+ | library(OpasnetUtils) | ||
+ | |||
+ | categories <- opbase.data("Op_en6286", subset = "Categories") | ||
+ | climate <- opbase.data("Op_en6286", subset = "Climate change") | ||
+ | ecosystem <- opbase.data("Op_en6286", subset = "Ecosystem quality") | ||
+ | health <- opbase.data("Op_en6286", subset = "Human health") | ||
+ | resources <- opbase.data("Op_en6286", subset = "Resources") | ||
+ | water <- opbase.data("Op_en6286", subset = "Water consumption") | ||
+ | |||
+ | water$Result <- water$Result * 3.785411784 # From gallons to litres | ||
+ | |||
+ | levels(categories[["Category"]]) <- gsub(" ", "", levels(categories[["Category"]])) | ||
+ | # One trailing space may stay but $ does not work in regular expression. Why? | ||
+ | |||
+ | categories <- Ovariable("categories", data = categories, Result = 1) | ||
+ | |||
+ | BEA <- rbind( | ||
+ | data.frame(Impact = "Climate change", Unit = "CO2eq /USD", climate), | ||
+ | data.frame(Impact = "Ecosystem quality", Unit = "PDF m2 /a /USD", ecosystem), | ||
+ | data.frame(Impact = "Human health", Unit = "DALY /USD", health), | ||
+ | data.frame(Impact = "Resources", Unit = "MJ /USD", resources), | ||
+ | data.frame(Impact = "Water consumption", Unit = "L /USD", water) | ||
+ | ) | ||
+ | |||
+ | BEA <- Ovariable("BEA", data = BEA) | ||
+ | |||
+ | objects.store(categories, BEA) | ||
+ | |||
+ | cat("Ovariables BEA, categories saved. \n") | ||
+ | </rcode> | ||
==See also== | ==See also== | ||
Line 25: | Line 76: | ||
<references/> | <references/> | ||
− | ==Related files== | + | ==Related files== |
Latest revision as of 10:33, 14 March 2014
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Contents
Question
What are the life-cycle impacts of products from cradle to consumer?
Answer
Rationale
Dependencies
Code that was used to upload the data on 5 Feb 2014. Upload history
The data contains the following impacts:
- Climate change
- Ecosystem quality
- Human health
- Resources
- Water consumption
In addition, there is one table with 430 product categories: Categories
Calculations
See also
Keywords
References
- ↑ Greg Norris: Personal communication 31 Jan 2014. File name: \\cesium\jtue$\_Documents\Handprinter\CradleThroughConsumerBEA.xls