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

The Representativeness Heuristic02:13

The Representativeness Heuristic

16.4K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
16.4K
pV-Diagrams01:18

pV-Diagrams

4.7K
The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
4.7K
Response Surface Methodology01:16

Response Surface Methodology

327
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
327
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.6K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
4.6K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

158
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...
158
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

5.8K
It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
5.8K

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

A Design Space for Multiscale Visualization.

IEEE transactions on visualization and computer graphics·2025
Same author

Probing the Visualization Literacy of Vision Language Models: The Good, the Bad, and the Ugly.

IEEE transactions on visualization and computer graphics·2025
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

From Dashboard Zoo to Census: A Case Study With Tableau Public.

IEEE transactions on visualization and computer graphics·2024

Related Experiment Video

Updated: Oct 22, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.7K

GEViTRec: Data Reconnaissance Through Recommendation Using a Domain-Specific Visualization Prevalence Design Space.

Anamaria Crisan, Shannah E Fisher, Jennifer L Gardy

    IEEE Transactions on Visualization and Computer Graphics
    |August 27, 2021
    PubMed
    Summary
    This summary is machine-generated.

    Genomic epidemiology (genEpi) experts can now better understand complex outbreak data with GEViTRec, an automated visualization tool. This system recommends chart combinations to assess data quality and suitability for disease outbreak analysis.

    More Related Videos

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
    10:58

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

    Published on: January 2, 2011

    10.3K
    Photorealistic Learned Landscapes for Augmented Reality
    06:54

    Photorealistic Learned Landscapes for Augmented Reality

    Published on: June 27, 2025

    311

    Related Experiment Videos

    Last Updated: Oct 22, 2025

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
    08:12

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

    Published on: March 1, 2022

    2.7K
    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
    10:58

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

    Published on: January 2, 2011

    10.3K
    Photorealistic Learned Landscapes for Augmented Reality
    06:54

    Photorealistic Learned Landscapes for Augmented Reality

    Published on: June 27, 2025

    311

    Area of Science:

    • Public Health Informatics
    • Computational Epidemiology
    • Data Visualization

    Background:

    • Genomic epidemiology (genEpi) relies on diverse data (tabular, network, genomic, geographic) for disease outbreak analysis.
    • Data reconnaissance is challenging for genEpi experts due to data volume and variety, hindering quality and suitability assessments.

    Purpose of the Study:

    • To present GEViTRec, an algorithm for automated data reconnaissance through visualization recommendation.
    • To enable genEpi domain experts to gain an overview of their data, assessing its quality, completeness, and suitability for outbreak containment.

    Main Methods:

    • GEViTRec handles diverse dataset types, automatically generating visually coherent chart combinations.
    • It detects linkages across datasets by analyzing non-numeric attributes, creating a data source graph to rank paths.
    • A gradual binding approach aligns and orients charts, combining domain-agnostic elements with domain-specific visualization knowledge.

    Main Results:

    • GEViTRec successfully applied to synthetic and real Ebola outbreak data.
    • Compared to existing systems and manual methods, GEViTRec produced relevant and interpretable visualizations.
    • Formative evaluations with genEpi experts confirmed the system's utility.

    Conclusions:

    • GEViTRec enhances data reconnaissance for genomic epidemiology by automating visualization recommendations.
    • The system effectively integrates diverse data types and provides insights into data quality for outbreak analysis.
    • GEViTRec represents a significant advancement in supporting public health informatics for disease surveillance.