Fuzzy, Intimate and Weird: Visualising Ecological Data in Context
Ecological data is usually abstracted away from the physical world for visualisation. This reinforces our detached relationship to the environment and removes the data from its original context: fuzzy, intimate and weird. This workshop will propose and collaboratively explore an aesthetic and pathway for ecological data visualisation that is rooted in the messy physical world.
We will discuss alternative ways to visualise datasets such as . For example, maybe to visualise the area of Amazon burnt last year, we can burn patches of grass with a magnifying glass. Maybe instead of an x-y graph of predicted sea rise, we can make films of ourselves doing tasks in different heights of water: seeing how hard it is to drink tea with water up to our ankle, to drink tea with water up to our neck.