Mapping contagion: cartographic visualizations of time-series data.

• Online Access: http://hdl.handle.net/2047/D20257481

Showing changes through time that are related to geographic space usually entails multiple views, either statically as small multiples or dynamically as an animated interactive. This thesis will attempt to present time-series events in a singular view, to show the breadth of the changes through time in one static view. This thesis will explore a space-time cube display and also the use of glyphs to convey the changes within an event. Being able to show time-series events statically and efficiently can greatly improve the spread of information, as the viewer can quickly grasp the entirety of the information being conveyed.