Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation-Reference-Cited by-同舟云学术

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Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation

Published:2024-05-11 Issue: Volume:2 Page:1-17
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Fan Arlen¹^ORCID,Lei Fan²^ORCID,Mancenido Michelle³^ORCID,Maceachren Alan M.⁴^ORCID,Maciejewski Ross⁵^ORCID

Affiliation:

1. School of Computing and Augmented Intelligence, Arizona State University, United States

2. School of Computing and Augmented Intelligence Engineering, Arizona State University, United States

3. School of Mathematical and Natural Sciences, Arizona State Unversity, United States

4. Department of Geography, Pennsylvania State University, United States

5. Computer Science, Arizona State University, United States

Funder

U.S. Department of Homeland Security

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642132

Reference52 articles.

1. The Design of Electronic Map Displays

2. Beagle

3. Beyond Memorability: Visualization Recognition and Recall

4. What Makes a Visualization Memorable?

5. D³ Data-Driven Documents

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