Final Thoughts on this project
The idea of “mapping” was really intriguing to me. Maps are something that we all know how to use, but most often with a directional element. It was exciting to explore this medium by looking at it through a more emotional level.
So, how can you track the experiences of your day, like your emotions, without affecting the data by being constantly aware of it? For me this was a huge decider in helping me choose the “experience” I wanted to monitor throughout my week. There are things that we do everyday that we don’t have to pay particular emotional attention to like getting dressed and undressed throughout each day, something that obviously I do, but wasn’t fully aware of the amount of putting on/ taking off. Through doing research from other “mapping” examples, I very much liked the play on time in a certain few, like the “Seven Day Circle Of Ground” and the “Tristram Shandy” timeline map. I knew I wanted to present my data with a sense of moving throughout time, much like the process of getting dressed and undressed throughout the day. The book “Information Is Beautiful” by David McCandless was a great source of research and inspiration for ways to demonstrate data and ideas for “mapping” places, time, events, emotions etc. After some trial and error, I chose a circular basis for my map, resembling the clock face of your day, but less identifiable. I developed a key for myself to mark onto my map my layers of clothing, the outer circle being fully clothed and wrapped up warm1 and the inner circle being either nude or in underwear. I collected a week’s worth of data, and was pleased with the process, but I felt it could be pushed onwards. Throughout more research I stumbled upon composer Roman Haubenstock, and others, and their graphic scores. I loved that these stunning depictions of music were not only beautifully conceptual but also meant to be legible. These sound mappings were what I wanted to base my idea of my map on. Tests and research helped me develop a key I was happy with, and then using my previously collected data, I plotted my experience of my whole week, which is (although intense) still very legible and accurate.
1 Looking back at my project, I feel that the value of my data would be very seasonal. You get a great outcome when you’re mapping layers and layers of clothing, jumpers, coats, hats scarves and gloves etc, but I feel that if I were to do this project again in summer, my graphic map would be a lot less impressive with only shorts and a t-shirt as my data.
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