Traffigram: A Design Methodology for Distance Cartograms


Project Overview: Maps can convey information from increasingly diverse data sources, and people are now using maps for a widening range of practical applications. Mapping technologies have the potential to help people better understand their transportation options and habits by conveying information about travel time, carbon dioxide emissions, expense, calories burned, and other metrics associated with transportation. But a review of previous literature reveals the difficulty in effectively presenting such information using the conventional equidistant projections that are widely adopted in the majority of mapping platforms. Therefore, the purpose of this research is to develop a new methodology for designing user-centered distance cartograms, and to build a platform that can be widely used by users, designers, researchers, and practitioners all around the world. This project is supported by the University of Washington, CoMotion.

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Ray Hong, University of Washington, Human Centered Design and Engineering, PhD student

Min-Joon Yoo, New York University, Postdoctoral Researcher

Yeaseul Kim, UW, iSchool, PhD Student, iSchool

Andrew Berry, UW, HCDE, PhD Student

Don-sub Rim, UW, Applied Math, PhD Student

Cecilia Aragon, UW, HCDE, Professor


Hong, S. R., Kim, Y. S., Yoon, J. C., and Aragon, C. R. Traffigram: distortion for clarification via isochronal cartography. In Proc. of the SIGCHI 2014, ACM Press (2014), 907-916. doi: 10.1145/2556288.2557224