S1: Designing Associativity » Juhi Pravin Patel

Optimization

juhipatel — Fri, 28 Mar 2014 00:52:50 +0000

Self Tracking

juhipatel — Wed, 26 Mar 2014 04:20:08 +0000

Source: http://smartap-tech.com/

Tracking oneself has become accessible to all through various devices and gadets. Self tracking can be used for various purposes. The objective was to track myself for a week with a help of any GPS tracking device, and to explore various ways of representing the data and making the data interesting.

Application used – GPS Tracking Lite. The app offers the recorded data in two formats – gpx and kml file along with graphs showing the speed and altitude recorded.

The kml file was used for the mapping of data through grasshopper.

In the resulting mapping of the data, we can see 2 main clusters. The clusters are resultants of the main areas – home, work, where most of the time is spent during the week and lot of points between these areas representing the commute between the two.

Data Visualization

juhipatel — Wed, 26 Mar 2014 03:20:57 +0000

Analysis of Waste produced at SANT ADRIA DE BESOS

Sant Adria De Besos, is a municipality within Barcelona. It is situated at the mouth of river Besos. This area is the focus in our Design Studio [Emergent Territories]. For decades, this section of the Besós was one of the most polluted river areas in Catalonia. but a wastewater treatment system installed in the 1990s has improved its condition. Hence the data focused on, is the amount of waste produced in Sant Adria De Besos, Barcelona. The objective is to study the different kinds of waste produced in this area over a period of time and what are items that have been varying or increasing/decreasing.

Data Collection

Source:http://www.idescat.cat/

The above data is collected from www.idescat.cat and converted to csv file to be imported in Grasshopper.

The resulting visualization consists of the 7 Categories of waste produced in a single bar. The bars represent the years and are divided according to the value of the 7 categories respectively.

The graph indicates drastic decrease in wood waste during 2005-2006 after a high in 2004.

Another noticeable change is – paper and cardboard waste been decreasing since 2010.