midterm idea: harvesting and visulization of data
the project was initially inspired by the S. Hattar matrix "melanopsin and rodcone photorecptive system accounts for all major accessory visual functions in mice" in Edward Tufte's beautiful evidence on the bottom of page 55.
This is my first experimentation in visualization of data, I'm interested in how we can take large amounts of information and arrange it in a simple visually compelling way.
On the y-axis you see a collection of tangible information (date, gender, medium, press about artist, size and value) or subjective measurements (hype: amount of information about the piece was found online, iconic: how much is it suggestive of certain periods, artist or signature works, mood: what sort of mood do i feel this piece exudes). Some pieces lacked some of the information, and in that case the point was not graphed (most obviously seen in value as many only said 'price by request') some of the information was estimated based on other information found about similar works by the same artist.
Pieces are visually shown and grouped by color undertones (cold, warm, neutral) at the top, the channels color on the graph were selected by attempting to pull a predominate color out of the selected piece. I curated the collection by pulling images I felt most drawn too. I was interested in seeing if there was a pattern to the collection I was curating. For instance: was I drawn to mostly male or female artist? Did I prefer dark, neutral or happier work? How often did I pick ceramics over steel or paper?
I'm interested in mapping this information dynamically in some sort of UI. Ideally so that anyone can manage a large collection as if to curate an entire museum . . . on their own terms.
The project will be written in C++ using OpenFrameworks with the help of ImageWidget.
heres one of my ideas:
