S1: Designing Associativity » grasshopper data visualization

Stalking myself with GPS kit

JOSHUA — Tue, 25 Mar 2014 17:52:13 +0000

Visualizing Data // GPS Tracking in Barcelona

pongtidasantayanon — Tue, 25 Feb 2014 02:42:31 +0000

Geolocated

Christoffer Ryan — Mon, 24 Feb 2014 23:08:54 +0000

MAPPING VALUES OF COMMON WORDS BETWEEN SUNSIGNS

akanksharathee — Tue, 11 Feb 2014 14:21:11 +0000

These visualisations try to develop relationships between different sunsigns by mapping the number of common words found in between them from the data set of the most commonly found words in online horoscopes. The data set was collected from 22,000 different samples and by visualising the common words we can see similarities and dissimilarities in between.

Here you can see all the individual Charts.

These twelve charts study one sunsign’s relationship with all the others. After the number of common words are computed they are rearranged in ascending order and used to make a polar chart which gives a particular zodiac sign’s relationship with all the other ones. On the top part of each chart we can see the extreme values of the chart. For example for Aries we can see that it has maximum number of words in common with Capricorn and minimum with Taurus.

This is a comprehensive diagram not only showing the signs that have maximum and minimum words in common with one particular sign but also we can follow one line and see at what position it lies in relation to other signs in other charts. For example we can start with Aquarius and see that with Aries it is second after Capricorn, with Cancer the highest with capricorn third and with Gemini the second lowest and so on.

This diagram shows two levels of co-relations. For example we can see that Cancer has a high number of common words with Aquarius but we can also very easily see that that number is higher than the values between other relationships.

Reference and Data Source - http://www.informationisbeautiful.net/2011/horoscoped/

Permafrost + Methane

agajz — Mon, 10 Feb 2014 23:30:32 +0000

The investigated issue is tackling one of the research areas for this semester’s Self Sufficient Studio design project- methane emission, one of the most dangerous greenhouse gases.

The subject of the study is Siberia because I believe it to provide an extreme phenomena of methane emission due to the permafrost.
The investigated region is precisely Siberian Federal Districts, consisting of 12 Federal Subjects, each one being a representative unit for the data measurement.

ARCTIC METHANE RELEASE
Permafrost can store methane, thus its thawing can exacerbate global warming by releasing methane and other hydrocarbons, which are powerful greenhouse gases. The potential methane release is dependent on the area of the permafrost, therefore the study aims to outline that relationship.