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 Concept Videos

Scaling01:26

Scaling

528
In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
528
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

270
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
270

You might also read

Related Articles

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

Sort by
Same author

Visualization Tasks for Unlabeled Graphs.

IEEE transactions on visualization and computer graphics·2026
Same author

VIVA: Virtual Healthcare Interactions Using Visual Analytics, With Controllability Through Configuration.

IEEE transactions on visualization and computer graphics·2025
Same author

The Census-Stub Graph Invariant Descriptor.

IEEE transactions on visualization and computer graphics·2025
Same author

Iceberg Sensemaking: A Process Model for Critical Data Analysis.

IEEE transactions on visualization and computer graphics·2024
Same author

DeLVE into Earth's Past: A Visualization-Based Exhibit Deployed Across Multiple Museum Contexts.

IEEE transactions on visualization and computer graphics·2024
Same author

"Making Data the Drug": A Pragmatic Pilot Feasibility Randomized Crossover Trial of Data Visualization as an Intervention for Pediatric Chronic Pain.

Children (Basel, Switzerland)·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

Related Experiment Video

Updated: Jan 10, 2026

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation
12:59

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Published on: February 28, 2021

4.1K

A Design Space for Multiscale Visualization.

Mara Solen, Matt Oddo, Tamara Munzner

    IEEE Transactions on Visualization and Computer Graphics
    |November 24, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Designing effective multiscale visualizations is challenging. This study introduces a design space to categorize and improve approaches for creating visualizations with vastly different scales.

    More Related Videos

    Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
    09:17

    Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

    Published on: September 13, 2022

    2.7K
    Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
    08:03

    Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

    Published on: November 12, 2014

    10.9K

    Related Experiment Videos

    Last Updated: Jan 10, 2026

    Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation
    12:59

    Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

    Published on: February 28, 2021

    4.1K
    Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
    09:17

    Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

    Published on: September 13, 2022

    2.7K
    Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
    08:03

    Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

    Published on: November 12, 2014

    10.9K

    Area of Science:

    • Information Visualization
    • Human-Computer Interaction
    • Data Science

    Background:

    • Designing visualizations with large scale ratios presents significant challenges.
    • Numerous approaches exist to address multiscale visualization design.
    • A structured framework is needed to understand and develop these approaches.

    Purpose of the Study:

    • To introduce a novel design space for multiscale visualization.
    • To analyze and categorize existing multiscale visualization design approaches.
    • To identify opportunities for improving multiscale visualization design.

    Main Methods:

    • Developed a design space with three dimensions and eight subdimensions.
    • Coded 52 examples of multiscale visualizations using the design space.
    • Analyzed examples to identify high-level design strategies and patterns.
    • Examined missed opportunities within the example corpus.

    Main Results:

    • The design space effectively describes existing multiscale visualization approaches.
    • Identified four high-level strategies for designing multiscale visualizations.
    • Revealed patterns in design choices across analysis and presentation contexts.
    • Highlighted areas for potential design improvements.

    Conclusions:

    • The proposed design space provides a valuable framework for understanding multiscale visualization design.
    • The identified strategies offer guidance for practitioners and researchers.
    • Further exploration of design space dimensions can lead to innovative visualization techniques.