Me encanta este post, yo tambien estoy haciendo mis pinitos con un dataset interesante, pero no me salen cosas tan chulas

Saludos

I think that more than the actual results, and the conclusions you can draw from them, the way you chose to present them and their visualization is what makes it so interesting.

Like Manu said, people are expecting to see rising temperatures, and that is mainly due to the terminology that has been used in the media.

And yes, maybe you should focus on a subset of data only.

keep it up!

signed:
your fans!

I also believe that this dataset by itself it is not enough to draw any conclusions.

My main goal was to show how easy it is to jump quickly to conclusions when we see a chart that shows what people expect to see.

While the separation by regions might not be the best solution, there are few alternatives as you need a way to come up with measurements that are comparable and in which all the parameters remain stable in order to ensure that the variations are really in the temperature and not due to external factors.

As I showed in the last graph, even with this separation in regions the mean latitude has changed over time affecting the results that are seen.

A more holistic approach in which all the data is compared at the same time is difficult to come up with as the temperatures behave differently in each region (and that has nothing to do with climate change!).

I will try three other approaches:

- Make smaller clusters over which the averaging is done
- Analyse the behaviour of each station individually and see if some global pattern is visible
- Take a subset of the stations that remains constant over time and repeat the analysis just with them. By doing this the latitude drift bias would be avoided.

That should keep me busy for a while If you feel adventurous, I’ve just posted the code of the script in case you want to give it a try yourself

My reasoning goes like this: if the planet was made out of a uniform material that would have the exact same behavior when exposed to increased heat over the years, then perhaps conclusions could be drawn from solely temperature data. But as we know, there’s a bit more diversity on the surface: water, land, and ice. Together with the atmosphere of the planet, this leads to a quite complex and dynamic system.

I think that one big “PR” problem with the climate change is the misleading former name (that’s still stuck in everyone’s head) “global warming”. Of course with such a name, when talking about temperature we may expect to see it raising on various graphs. Now I would argue that without looking and supplementary data such as the temperature of the oceans (which is clearly missing from the dataset, as shown in the very first graph that shows nothing more but the continents) it’s rather pointless to draw any conclusions. However I would say that water (liquid and solid) is quite receptive to increased heat, much more than soil.

Besides of this, the separation of stations into categories (Artic, North, South, …) is a bit misleading for such an analysis, as this is a global phenomena and that a more holistic approach is necessary. Perhaps plotting the relative temperature evolution for all regions on one graph would visualize something? But then again, as just argued before, without the ocean temperature it’s not that useful.

Cheers!

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Dear openkapow user,

The free openkapow servers has now been stopped and instead we have
launched the new openkapow discussion forum on openkapow.com.

At the same time we have lowered the cost for running robots on the
new pay-as-you-go StrikeIron service on
http://cts.vresp.com/c/?KapowTechnologies/d2e6342b3a/c5c156124f/b4af4c0fa2
and we hope these new prices will be attractive and cost-effective for
most of you. We have at the same time upgraded StrikeIron to run our
latest release 7.1 with improved usability and support for flash and
complex Web sites based on Google Web Toolkit and other AJAX toolkits.

We encourage you to sign up for a free trial and receive 1000 free
StrikeIron hits to start with. Sign up for your free trial now at
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Kapow Technologies

no te podría recomendar ninguna ahora mismo. Para radiografías si están reveladas posiblemente pensaría más en un escaner, y las tomografías y resonancias como se realizan en un ordenador intentaría conseguir o los ficheros originales o a partir de capturas de pantalla.

Saludos