R help - Jul 2011 - Life Cycle Assessment with R.

Hello everyone, 
There's something really important about climate change and how many
institutions around the globe are looking for softwares solutions in order to
achieve they (and everyone) needs to improve life conditions in all the planet.
Currently, they're many comercial softwares working with this important
topic named as: "Life Cycle Assesment", monitoring carbon emition,
 but as many of you may know, commercial softwares controlling or managing our
planet could be another big mistake.
To sum up briefly, it could be a good idea creating a R package doing Life Cycle
Assessment (if has not being created) in order to gain a better understanding
and making these important decisions about global warming and how can we as
humanity control how Carbon Footprint is measured by commercial or not
commercial propouses.
Who knows if there's people working in Life Cycle Assesment (carbon emition)
with R? or If there's someone interested in doing a package about it, please
let me know!
I explain this here, because of  the R philosophy.Best wishes!José BustosChilean
Biostatistician
 www.aespro.cl
	[[alternative HTML version deleted]]

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Date: Mon, 25 Jul 2011 19:03:08 +0100
From: jbustosmelo at yahoo.es
To: r-help at r-project.org
Subject: [R] Life Cycle Assessment with R.


Hello everyone,
There's something really important about climate change and how many
institutions around the globe are looking for softwares solutions in order to
achieve they (and everyone) needs to improve life conditions in all the planet.
Currently, they're many comercial softwares working with this important
topic named as: "Life Cycle Assesment", monitoring carbon emition, 
but as many of you may know, commercial softwares controlling or managing our
planet could be another big mistake.
To sum up briefly, it could be a good idea creating a R package doing Life Cycle
Assessment (if has not being created) in order to gain a better understanding
and making these important decisions about global warming and how can we as
humanity control how Carbon Footprint is measured by commercial or not
commercial propouses.
Who knows if there's people working in Life Cycle Assesment (carbon emition)
with R? or If there's someone interested in doing a package about it, please
let me know!
I explain this here, because of  the R philosophy.Best wishes!Jos? BustosChilean
Biostatistician
 www.aespro.cl
        

[ my text below]
Well, generally R packages are more general purpose tools than specific
applications such as this- although there may be an iphone save the world app
LOL.?
I have no idea but usually the issue here is getting the required 
data in an open form. Many govt agencies think excel is "open" and
that you would not want
to do an analysis that wasn't supported in such popular software. This comes
up with financial data all the time, I even asked for account information
in csv and I got a reply, "thank you for asking about exporting to
excel" and a detailed explanation that was completely irrelevant. Modelling
of complicated
systems is often well complicated and predictions about the future involve
assumptions that are often made to suit the needs of the immediate
analyst. On topics which involve money or emotion, getting unbiased analysis is
impossible and getting data can be very difficult.? This list is
not designed for advocacy? or even discussion of analysis results but ability to
get data in form usable by R may be or more general interest
to those seeking help on R.

On Mon, Jul 25, 2011 at 8:03 PM, Jose Bustos Melo <jbustosmelo at
yahoo.es> wrote:
> Who knows if there's people working in Life Cycle Assesment (carbon
emition) with R? or If there's someone interested in doing a package about
it, please let me know!
>
Some of the places to check would be:
rseek.org
http://cran.at.r-project.org/web/packages/
http://cran.at.r-project.org/web/views/ (which includes an
'Environmetrics' View)

I would also check Bioconductor.
http://en.wikipedia.org/wiki/Bioconductor

Regards
Liviu

Hi there--

To avoid duplication, I would recommend looking at the OpenLCA efforts--see 
http://www.openlca.org/index.html http://www.openlca.org/index.html . One of
the limitations of this OpenLCA software, however, is a lack of statistical
tools with which to analyze the results. Perhaps an R module for statistical
analysis could be developed that works in conjunction to the OpenLCA tool?

Kindly,
Mason Earles

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