Proj 3- 2D Matrix Spatial Map
Posted: Fri Feb 01, 2013 12:00 am
The assignment is to create a 2D spatial map where 3 sets of data are compared to each other and positioned in a x,y,z position. Z can represent depth, through brightness. Coloration or form deviation may be the way to compare the two.
The first step is to decide how your data will map itself within a 2D space. You may have time mapped horizontally (hours of the day) and media type mapped vertically, or the whole Dewey sequence from 0-999. Top layer may be 2010, bottom layer may be 2011. Transparency would allow us to see differences.
Another approach may be to compare Dewey in the top layer, and non-Dewey in the bottom layer. Or the comparison could be the same dataset contrasted according some other aspect of the metadata we have: collcode, item type, etc.
This project will require some thinking of what could be compared, followed by SQL queries to see if there are interesting results, and then to make visualization tests.
To stimulate thinking Scientific Visualization PhD candidate Basak Alper will come and present her research on February 5. In preparation for this, please read her article "Weighted Graph Comparison Techniques for Brain Connectivity Analysis".
For visual stimulus, the Visual Complexity website has many examples of both node-connected data and matrix mapping: http://www.visualcomplexity.com/vc/
http://www.mat.ucsb.edu/basak.alper/
The first step is to decide how your data will map itself within a 2D space. You may have time mapped horizontally (hours of the day) and media type mapped vertically, or the whole Dewey sequence from 0-999. Top layer may be 2010, bottom layer may be 2011. Transparency would allow us to see differences.
Another approach may be to compare Dewey in the top layer, and non-Dewey in the bottom layer. Or the comparison could be the same dataset contrasted according some other aspect of the metadata we have: collcode, item type, etc.
This project will require some thinking of what could be compared, followed by SQL queries to see if there are interesting results, and then to make visualization tests.
To stimulate thinking Scientific Visualization PhD candidate Basak Alper will come and present her research on February 5. In preparation for this, please read her article "Weighted Graph Comparison Techniques for Brain Connectivity Analysis".
For visual stimulus, the Visual Complexity website has many examples of both node-connected data and matrix mapping: http://www.visualcomplexity.com/vc/
http://www.mat.ucsb.edu/basak.alper/