@techreport{TD:100285,
	att_abstract={{Maps offer a familiar way to present geographic data (continents, countries, states), and additional information (topography, geology, rainfall) 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 system that visualizes user traffic on the Internet radio station last.fm and address challenges in mental map preservation, as well as issues in animated map-based visualization.}},
	att_authors={yh573v},
	att_categories={C_IIS.7},
	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. {{, 2011-07-01}}
}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={maps,  clusters,  dynamic data,  visualization},
	att_techdoc={true},
	att_techdoc_key={TD:100285},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:100285_DS1_2011-06-07T17:18:00.363Z.pdf},
	author={Daisuke Mashima and Stephen Kobourov and Yifan Hu},
	institution={{was: 4th IEEE Pacific Visualization Symposium
now: IEEE Transactions on Visualization and Computer }},
	month={July},
	title={{Visualizing Dynamic Data with Maps}},
	year=2011,
}