Extending demographic dot maps for temporal visual analytics

Authors: Jeff Allen*, University of Toronto
Topics: Cartography, Urban Geography, Temporal GIS
Keywords: geovisualization, demography, time, neighborhood change
Session Type: Virtual Paper
Day: 4/11/2021
Start / End Time: 9:35 AM / 10:50 AM
Room: Virtual 19
Presentation File: No File Uploaded

Analyzing demographic patterns across space and over time is important in a wide range of research in geography and urban planning. Temporal demographic analysis, however, is often constrained to specific data collection years and data is often only available as aggregated to pre-defined spatial units. This limits visualizations of changing demographic patterns to these spatial and temporal constraints. A solution to these constraints are temporal dot maps. Dot maps are often used to visualize distributions and clustering of different demographic groups over space. The objective of this paper is to extend dot maps by developing a temporal interpolation method so they can show changes over time. This includes creating static dot maps, followed by a description of a novel selective linear interpolation procedure which encodes the time range in which dots are visible on a map. This encoding allows for querying and animating changes over time without generating dots for periods in which there are not known data. This procedure is exemplified for two use case scenarios, the first animating population growth in the United States from 1900 to 2000, and the second an interactive application showing changing poverty distributions in Toronto, Canada from 1991 to 2016.

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