Minima-Maxima
Minima-Maxima employs a time-series of climate data from the arctic between 1984 – 2012 derived from drifting buoys and satellite measurements of sea ice age. The work comes in two parts – a data driven moving image work and a physical installation showing the yearly summer-winter fluctuations of ar...
Main Authors: | , |
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Format: | Text |
Language: | English |
Published: |
2016
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Subjects: | |
Online Access: | https://ualresearchonline.arts.ac.uk/id/eprint/13411/ https://ualresearchonline.arts.ac.uk/id/eprint/13411/1/Foating-Points-Ambica-P3-Exhibition-024-900x500.jpg https://ualresearchonline.arts.ac.uk/id/eprint/13411/2/Foating-Points-Ambica-P3-Exhibition-018-900x500.jpg https://ualresearchonline.arts.ac.uk/id/eprint/13411/4/1_SeaIce_conc.png https://ualresearchonline.arts.ac.uk/id/eprint/13411/17/Y1mmao0l.jpg |
Summary: | Minima-Maxima employs a time-series of climate data from the arctic between 1984 – 2012 derived from drifting buoys and satellite measurements of sea ice age. The work comes in two parts – a data driven moving image work and a physical installation showing the yearly summer-winter fluctuations of arctic sea ice age (minima-maxima) over an extended period of 25 years. The installation presents a terser set of approaches by arranging the entire data set as stacked print-outs. Organised quasi-bureaucratically, the data is opened to public scrutiny and navigation, reminding us that data is always situated and embodied in contextual, discursive and material practices that exceed a technical base. Funding for the project comes from Arts Council England and the Natural Environment Research Council. Advice for the project came from Dr Beatrix Schlarb-Ridley from the British Antarctic Survey, and Nathan Cunningham from the UK Data Archive. |
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