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

Manipulation and Analysis01:21

Manipulation and Analysis

22
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
22

You might also read

Related Articles

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

Sort by
Same author

Data-Driven Polyoxometalate Chemistry.

Chemistry (Weinheim an der Bergstrasse, Germany)·2025
Same author

TraSculptor: Visual Analytics for Enhanced Decision-Making in Road Traffic Planning.

IEEE transactions on visualization and computer graphics·2025
Same author

A Survey on Non-Photorealistic Rendering Approaches for Point cloud Visualization.

IEEE transactions on visualization and computer graphics·2024
Same author

Visual Exploration and Analysis of Simulation and Testing Data in Motor Engineering.

IEEE computer graphics and applications·2024
Same author

Customization options in consumer health information materials on type-2 diabetes mellitus-an analysis of modifiable features in different types of media.

Frontiers in public health·2024
Same author

2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualisations in Virtual Reality.

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

Related Experiment Video

Updated: Jun 12, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

516

A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations.

Daniel Atzberger, Tim Cech, Willy Scheibel

    IEEE Transactions on Visualization and Computer Graphics
    |September 17, 2024
    PubMed
    Summary
    This summary is machine-generated.

    Document layout stability in text analysis is crucial. This study reveals how changes in text data, hyperparameters, and initialization affect visualization layouts, offering guidelines for reliable semantic similarity mapping.

    More Related Videos

    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
    07:36

    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

    Published on: November 30, 2018

    15.7K
    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

    2.4K

    Related Experiment Videos

    Last Updated: Jun 12, 2025

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    516
    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
    07:36

    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

    Published on: November 30, 2018

    15.7K
    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

    2.4K

    Area of Science:

    • Natural Language Processing
    • Data Visualization
    • Computational Linguistics

    Background:

    • Document similarity is visualized using 2D scatterplots derived from dimensionality reduction techniques.
    • These layouts are sensitive to input data, hyperparameters, and initialization randomness, impacting user interpretation.
    • Understanding layout stability is key for reliable semantic analysis and visualization.

    Purpose of the Study:

    • To conduct a sensitivity study on the stability of document similarity layouts.
    • To analyze the impact of text corpora variations, hyperparameter tuning, and initialization randomness on layout consistency.
    • To provide guidelines for selecting appropriate layout algorithms and hyperparameter settings.

    Main Methods:

    • Generated document layouts using combinations of three text corpora and six text embeddings.
    • Applied a grid-search approach for hyperparameter selection in dimensionality reduction.
    • Quantified layout similarity using ten metrics assessing local/global structures and class separation.
    • Performed descriptive statistical analysis on over 42,000 data points.

    Main Results:

    • Identified specific hyperparameter settings that enhance layout stability.
    • Demonstrated the influence of text corpus characteristics and embedding methods on layout consistency.
    • Quantified the degree of instability introduced by random initialization.

    Conclusions:

    • Layout stability is a critical factor for the interpretability of document similarity visualizations.
    • Informed choices regarding algorithms and hyperparameters can significantly improve layout reliability.
    • The study provides practical guidance for researchers using dimensionality reduction for text analysis.