Investigating the Impact of Different Partial Overlap Levels on the Perception of Visual Variables for Categorical Data

Investigating the Impact of Different Partial Overlap Levels on the Perception of Visual Variables for Categorical Data

The overlap of visual items in data visualization techniques is a known problem aggravated by data volume and available visual space issues. Several methods have been applied to mitigate occlusion in data visualizations, such as random jitter, transparency, layout reconfiguration, focus+context tech...

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Bibliographic Details
Main Authors: Diego Santos, Alexandre Freitas, Rodrigo Lima, Carlos Gustavo Santos, Bianchi Meiguins
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
information visualization
visual variables
evaluation
occlusion
overlap
visual perception
Online Access:https://www.mdpi.com/2076-3417/13/16/9268

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https://www.mdpi.com/2076-3417/13/16/9268

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