»Weaving Data« is a real–life data object that visualizes data sets of future climate scenarios, called Shared Socio-economic Pathways (SSP), provided by the Potsdam Institute for Climate Impact Research.
On a 2m² sized textile it shows eight data sets from five SSPs of the decades 2010 to 2100: population, global temperature mean, Gross Domestic Product, land cover, emission of CO2, consumption and primary energy. A mirror axis in the center of the textile defines the origin of visualization. It cuts the categories without (top) and with (bottom) climate protection efforts in half to indicate incisive differences from a point of view.
The final object will be woven on a jacquard loom and adopts the connection between mechanical weaving and data visualization as data based tapestry.
»Weaving Data« is a project by Samira Akhavan, Anna Heib and Amelie Kirchmeyer developed within the course Data Objects by Prof. Boris Müller at the FH Potsdam – University of Applied Sciences.