Data Walking

Raskob, Evan. 2018. Data Walking. In: David Hunter, ed. Data Walking. London: Ravensbourne Research Office, pp. 76-77. [Book Section]

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Abstract or Description

For the book DATAWALKING, a collection of visualisations of data gathered by designer David Hunter, I created bespoke software to make visualisations based on his data set. The process: Air is a gas and so it has a flow rather than absolute position. I wanted to capture some of that fluidity in these data artworks. They are using the data from a MQ135 dust sensor and plotting them on a map using the latitude and longitude recorded with each sensor reading, but with a twist. Over and over again, the data is re-plotted on the screen and little "walkers" with a primitive path-following AI are generated to spread those values around the map. Their trails are then fed into a cellular automata (Gray/Scott reaction-diffusion) network that "grows" them outwards and mixes them together, using similar procedures to how seashells are formed and their intricate, repeating patterns are woven together from generations of cellular growth.

Item Type:

Book Section

Related URLs:

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
February 2018Submitted

Item ID:

24496

Date Deposited:

15 Oct 2018 15:33

Last Modified:

02 Aug 2021 11:09

URI:

https://research.gold.ac.uk/id/eprint/24496

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