An Image-based Typology for Visualization
Jian Chen, Petra Isenberg, Robert S. Laramee, Tobias Isenberg, and Michael Sedlmair, Torsten Moeller, Rui Li

TL;DR
This paper develops an image-based typology of visualizations through qualitative analysis, categorizing visualization images into 10 types to aid research, teaching, and standardization efforts.
Contribution
It introduces a novel image-based typology of visualizations derived from qualitative analysis, with a dataset and tool for further research and standardization.
Findings
Identified 10 main visualization types
Provided coding decisions and methodology details
Enabled categorization and analysis of visualization images
Abstract
We present and discuss the results of a qualitative analysis of visualization images to derive an image-based typology of visualizations. For each image, we seek to identify its main focus or the essential stimuli. As a result, we derived 10 image-based visualization types. We describe coding decisions we made in the derivation process. The resulting image typology can serve a number of purposes: enabling researchers and practitioners to identify visual design styles, facilitating the categorization of visualization images for the purpose of research and teaching, enabling researchers to study the evolution of the community and its research output over time, and facilitating a discussion of standardization in visualization. In addition, the tool and dataset enable scholars to closely examine the images and how they are published and communicated in our community. osf.io/dxjwt presents a…
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Taxonomy
TopicsHuman Motion and Animation · Video Analysis and Summarization · Multimedia Communication and Technology
MethodsFocus · Sparse Evolutionary Training · ALIGN
