@techreport{TD:100565,
	att_abstract={{Maps offer a familiar way to present geographic data (continents, countries),  and additional information (topography, geology), can be displayed with the help of contours and heat-map overlays. In this paper we consider visualizing large-scale dynamic relational data by taking advantage of the geographic map metaphor.
We describe a map-based visualization system which uses animation to
convey dynamics in large datasets, and which aims to preseve the viewer's mental map while also offering readable views at all times. Our visualization system is fully functional and has been used to visualize user traffic on the Internet
radio station last.fm, as well as TV-viewing patterns from an IPTV service.  
All map images in this  paper are available in high-resolution at http://www2.research.att.com/~yifanhu/TrendMap as are several movies illustrating 
}},
	att_authors={yh573v},
	att_categories={},
	att_copyright={{IEEE}},
	att_copyright_notice={{This version of the work is reprinted here with permission of IEEE for your personal use. Not for redistribution. The definitive version was published in IEEE Transactions on Visualization and Computer Graphics. {{, 2011-07-01}}{{, http://www.computer.org/portal/web/tvcg/}}
}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={},
	att_techdoc={true},
	att_techdoc_key={TD:100565},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:100565_DS1_2011-06-12T23:26:42.220Z.pdf},
	author={Yifan Hu and Daisuke Mashima and Stephen Kobourov},
	institution={{IEEE Transactions on Visualization and Computer Graphics}},
	month={July},
	title={{Visualizing Dynamic Data with Maps}},
	year=2011,
}