Damage vector for life-cycle analysis: Difference between revisions
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(→Formula: reshape corrected, now it works) |
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head(damages) | head(damages) | ||
data <- reshape(data, | data <- reshape(data, times = "Result", timevar = "Unique_categories", idvar = "Purchasing_sector", direction = "wide") | ||
colnames(data) <- gsub("Result.", "", colnames(data)) | colnames(data) <- gsub("Result.", "", colnames(data)) | ||
data <- as.matrix(data) | data <- as.matrix(data) | ||
head(data) | |||
Revision as of 17:25, 16 January 2013
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Question
What are the damages per unit purchased commodity using a life-cycle assessment?
Answer
Rationale
Dependencies
Data
Obs | Unique_categories | Human health | Ecosystem quality | Climate change | Resources | Water consumption |
---|---|---|---|---|---|---|
1 | Carcinogens | 0.0000028 | 0 | 0 | 0 | 0 |
2 | Non-carcinogens | 0.0000028 | 0 | 0 | 0 | 0 |
3 | Respiratory inorganics | 0.0007 | 0 | 0 | 0 | 0 |
4 | Ionizing radiation | 0.00000000021 | 0 | 0 | 0 | 0 |
5 | Ozone layer depletion | 0.00105 | 0 | 0 | 0 | 0 |
6 | Respiratory organics | 0.00000213 | 0 | 0 | 0 | 0 |
7 | Aquatic ecotoxicity | 0 | 0.0000502 | 0 | 0 | 0 |
8 | Terrestrial ecotoxicity | 0 | 0.00791 | 0 | 0 | 0 |
9 | Terrestrial acidification/nutrification | 0 | 1.04 | 0 | 0 | 0 |
10 | Land occupation | 0 | 1.09 | 0 | 0 | 0 |
11 | Aquatic acidification | 0 | 0 | 0 | 0 | 0 |
12 | Aquatic eutrophication | 0 | 0 | 0 | 0 | 0 |
13 | Global warming | 0 | 0 | 1 | 0 | 0 |
14 | Non-renewable energy | 0 | 0 | 0 | 1 | 0 |
15 | Mineral extraction | 0 | 0 | 0 | 1 | 0 |
16 | Water withdrawal | 0 | 0 | 0 | 0 | 0 |
17 | Water consumption | 0 | 0 | 0 | 0 | 1 |
Formula
See also
Keywords
References
Related files
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