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$\_Documents\Handprinter\CradleThroughConsumerBEA.xls </ref> |
=== Dependencies === | === Dependencies === | ||
| + | |||
| + | [http://en.opasnet.org/en-opwiki/index.php?title=Cradle_through_consumer_BEA&oldid=31473 Code that was used to upload the data] on 5 Feb 2014. [http://en.opasnet.org/en-opwiki/index.php?title=Cradle_through_consumer_BEA&oldid=31477 Upload history] | ||
| + | |||
| + | The data contains the following impacts: | ||
| + | * Climate change | ||
| + | * Ecosystem quality | ||
| + | * Human health | ||
| + | * Resources | ||
| + | * Water consumption | ||
| + | |||
| + | In addition, there is one table with 430 product categories: Categories | ||
=== Calculations === | === Calculations === | ||
| Line 20: | Line 39: | ||
library(OpasnetUtils) | library(OpasnetUtils) | ||
| + | categories <- opbase.data("Op_en6286", subset = "Categories") | ||
climate <- opbase.data("Op_en6286", subset = "Climate change") | climate <- opbase.data("Op_en6286", subset = "Climate change") | ||
ecosystem <- opbase.data("Op_en6286", subset = "Ecosystem quality") | ecosystem <- opbase.data("Op_en6286", subset = "Ecosystem quality") | ||
| Line 28: | Line 48: | ||
water$Result <- water$Result * 3.785411784 # From gallons to litres | water$Result <- water$Result * 3.785411784 # From gallons to litres | ||
| − | + | levels(categories[["Category"]]) <- gsub(" ", "", levels(categories[["Category"]])) | |
| − | levels(categories[["Category"]]) <- gsub(" ", "", levels(categories[["Category"]])) | + | # One trailing space may stay but $ does not work in regular expression. Why? |
| − | # One | ||
| − | categories <- Ovariable("categories", data = categories, Result = 1 | + | categories <- Ovariable("categories", data = categories, Result = 1) |
BEA <- rbind( | BEA <- rbind( | ||
| − | data.frame(Impact = "Climate change", Unit = "CO2eq /USD", climate | + | data.frame(Impact = "Climate change", Unit = "CO2eq /USD", climate), |
data.frame(Impact = "Ecosystem quality", Unit = "PDF m2 /a /USD", ecosystem), | data.frame(Impact = "Ecosystem quality", Unit = "PDF m2 /a /USD", ecosystem), | ||
data.frame(Impact = "Human health", Unit = "DALY /USD", health), | data.frame(Impact = "Human health", Unit = "DALY /USD", health), | ||
| Line 57: | 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
