Recognition and Recall of Geographic Data in Cartograms

Sabrina Nusrat, Jawaherul Alam, Stephen Kobourov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We investigate the memorability of two types of cartograms, both in terms of recognition of the visualization and recall of the data. A cartogram, or a value-by-area map, is a representation of a map in which geographic regions are modified to reflect a given statistic, such as population or income. Of the many different types of cartograms, the contiguous and Dorling types are among the most popular and most effective. With this in mind, we evaluate the memorability of these two cartogram types with a human-subjects study, using task-based experimental data and cartogram visualization tasks based on Bertin's map reading levels. In particular, our results indicate that Dorling cartograms are associated with better recall of general patterns and trends. This, together with additional significant differences between the two most popular cartogram types, has implications for the design and use of cartograms, in the context of memorability.

Original languageEnglish (US)
Title of host publicationProceedings of the Working Conference on Advanced Visual Interfaces, AVI 2020
EditorsGenny Tortora, Giuliana Vitiello, Marco Winckler
PublisherICST
ISBN (Electronic)9781450375351
DOIs
StatePublished - Sep 28 2020
Event2020 International Conference on Advanced Visual Interfaces, AVI 2020 - Salerno, Italy
Duration: Sep 28 2020Oct 2 2020

Publication series

NamePervasiveHealth: Pervasive Computing Technologies for Healthcare
ISSN (Print)2153-1633

Conference

Conference2020 International Conference on Advanced Visual Interfaces, AVI 2020
Country/TerritoryItaly
CitySalerno
Period9/28/2010/2/20

Keywords

  • cartograms
  • geo-referenced visualization
  • memorability
  • user study

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Computer Science Applications
  • Health Informatics

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