Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Software design patterns for information visualization.

Jeffrey Heer1, Maneesh Agrawala

  • 1Computer Science Division, University of California, Berkeley, USA. jheer@cs.berkeley.edu

IEEE Transactions on Visualization and Computer Graphics
|November 4, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Crossing the Chasm: Bridging Visual Augmentations and Designer Intent.

IEEE transactions on visualization and computer graphics·2026
Same author

Data Augmentation for Visualization Design Knowledge Bases.

IEEE transactions on visualization and computer graphics·2025
Same author

Mosaic Selections: Managing and Optimizing User Selections for Scalable Data Visualization Systems.

IEEE transactions on visualization and computer graphics·2025
Same author

DracoGPT: Extracting Visualization Design Preferences from Large Language Models.

IEEE transactions on visualization and computer graphics·2024
Same author

Mixing Linters with GUIs: A Color Palette Design Probe.

IEEE transactions on visualization and computer graphics·2024
Same author

EMPHASISCHECKER: A Tool for Guiding Chart and Caption Emphasis.

IEEE transactions on visualization and computer graphics·2023
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles

This study introduces design patterns for information visualization software. These reusable solutions help developers create, evaluate, and share effective visualization designs more easily.

Area of Science:

  • Computer Science
  • Human-Computer Interaction

Background:

  • Information visualization software architectures are diverse, making design solutions hard to reuse.
  • Design patterns offer a structured way to capture and share successful software design solutions.

Purpose of the Study:

  • To present a series of design patterns specifically for the domain of information visualization.
  • To facilitate the identification, evaluation, and re-application of design solutions in visualization software.

Main Methods:

  • Reviewing existing information visualization software frameworks.
  • Analyzing experiences in building visualization software.
  • Developing abstract descriptions of interacting software components (design patterns).

Main Results:

Related Experiment Videos

  • A collection of design patterns for information visualization is presented.
  • Patterns cover data representation, graphics, and interaction aspects of visualization design.
  • The structure, context of use, and interrelations of these patterns are discussed.

Conclusions:

  • Design patterns provide a reusable format for visualization design knowledge.
  • These patterns can improve software design, implementation, evaluation, and developer education.
  • Facilitating communication and consistency in visualization software development.