I created this post on my other site, Digital Urbanisms (I just started it a few weeks ago).  It’s about my current efforts to begin thinking about how to visualize my data - so it’s relevant for Cultural Bytes since this is where I talk about my research process.

Ever since  I moved back to the US from China, I’ve been on a visualization craze - inspired by many of the architects and city planners that I met when I wasn’t doing fieldwork in Beijing.

What’s so great is that one of my advisors, Jim Hollan, actually teaches Information visualization!!! He introduced me to the world of Processing (visualization software). I think I should learn it - at least on some basic level in order to begin imaging how to visualize my data. Even though I want to work with a  professional data visualizer,  I still need to understand the depths of this software.

My reward for finishing my field exams in April is that I will be allowed to spend some time learning the program. I struggle EVERyday to not open the application.  I don’t want to tell my committe that the reason why I dropped out of grad school is because I got stuck in processing world.  hmmm I may have to uninstall it from my computer.  yes good idea. going to do that……..now.

via Digital Urbanisms

This post is not directly about Digital Urban Mapping - rather it’s a commentary about the state of data visualization in urban mapping. Mario Klingemann (Quasimondo), the creator of this image, made a statement that resonated with me. He notes that the current festish around data visualization may be more indicative of aesthetics being prioritized over data comprehension.

“The goals of data visualization as I understand them are to make complicated issues more understandable, to make obscured connections visible and to reveal hidden patterns in the data. After all these tasks have been solved ideally the result should be aesthetically pleasing as well.

But when I look around what is being done in data visualization today I have the suspicion that in many cases the design is more important than the actual information and that the use of data is more an excuse to justify the use of aesthetics.”

This makes me think about the world of visualization and digital mapping for visualizing urban processes. So far, my only experience with urban mapping has been with architects - professionals who tend to be great at visualizing cityscapes and not so great at observing and explaining human interaction. but hey more reasons for architects and sociologists to team up! One of the reasons why I want to work with architects is because I think sociologists are missing the imaginative, the scale, and the visual. A lot of our work gets stuck under so many theoretical barrels and methodological corners that to even begin to think about visualizing our data when we can’t even explain it in everyday language just seems overwhelming. And the very aspect that Mario brings up - about processing information - well I think that sociological studies overall (there are many exceptions) fail to really make the research understandable to a wider public.

I am afraid of my work falling into that trap as I feel that’s what graduate school has trained me to do - write in obscure language that doesn’t communicate with other disciplines or practitioners. So I’m realllly trying hard to make a commitment early on in my fieldwork to think about how to visually communicate my research.

The difficulties in visualization is that as visual objects they are excellent at showing the snapshot of situations, the state or the result or the change over time in X/Y variables. On the other foot, visuals are not as excellent at communicating processes or motivations - the cultural reasons for why X/Y happened or changed over time (more techniques are being developed to make this easier- that’s why processing is so awesome).

I wonder if all these trends towards data visualization is also a reflection of the information overload that we deal with in everyday life and a desire to just quickly get the facts and jump out before the nitty gritty details come in to overwhelm the moment. There are countless times when I’ve come across a looooooong article and I’m debating whether or not to read it and I then become really happy when I see a chart - even better when it’s a pretty chart! :) My brain just things - “get me the details - I don’t always need to know or have time to know why.”

Nothing bad can happen with trying to make data prettier right? Especially when it’s in the hands of people who care just as much about the data as the color palette.

You can read about his project here.

feltron:

aaronmeyers:

via @lennyjpg