Arizona State University
School of Geographical Sciences and Urban Planning
Successful visualizations can reveal patterns and relationships that would be concealed in traditional maps. However, researchers often choose a visualization technique just because they are familiar with it, regardless of what other visualization techniques might better communicate their data. A researcher that decides search out the best technique from the vast body of visualization literature will be faced with the slow and difficult task of wading through the nuances of very specific implementations. Therefore, I have developed VisMatch, a streamlined, web-based tool designed to help researchers choose which visualization techniques are best suited to the spatial-temporal data they want to communicate. In this presentation, I will present 1) the design behind the tool, which suggests optimal visualization techniques by considering data composition and audience needs; and 2) the results from a user-survey evaluating researcher interaction with VisMatch.