Visualization Viewpoints

Recently, deep learning has been advancing the state of the art in artificial intelligence to a new level, and humans rely on artificial…

In this article, we share our reflections on visualization literacy and how it might be better developed in early education.

Modeling physical phenomena through computational simulation increasingly relies on generating a collection of related runs, known as an ensemble.

In situ processing produces reduced size persistent representations of a simulations state while the simulation is running.

Correlation analysis is one of the most popular statistical methods.

Visualization researchers, developers, practitioners, and educators routinely work across traditional discipline boundaries, oftentimes in teams of…

There is little doubt that having a theoretic foundation will benefit the field of visualization, including its main subfields.

Application-oriented papers provide an important way to invigorate and cross-pollinate the visualization field, but the exact criteria…

Personal visualizations have the great potential to provide the benefits of visualizations to everyone in their everyday lives.

Sampling is becoming an essential tool for scalable interactive visual analysis.

The transformation of data into visuals that are as effective and engaging as possible for compelling presentation is an emerging topic in information…

A detail-on-demand scheme can alleviate both memory and GPU pressure on mobile devices caused by volume rendering.

In this article, we first present the benefit of combing text analysis topic models in particular with interactive visualization.

The healthcare industry's widespread digitization efforts are reshaping one of the largest sectors of the world's economy.

In situ visualization is the coupling of visualization software with a simulation or other data producer to process the data "in memory"…

Data visualization research focuses on data exploration and analysis, yet the vast majority of visualizations people see were created for a…

With the rise of massive open online courses MOOCs, tens of millions of learners can now enroll in more than 1,000 courses via MOOC platforms…

The authors take a closer look at how the visualization community has discussed visual storytelling and present a visual data…

The success of visual analytics is predicated on the ability of users to interactively explore information.

The growing volumes of time-stamped data available from sensors, social media sources, Web logs, and medical histories present remarkable…

Creating the next-generation high-performance simulation and analysis environment will be a significant challenge because of power and storage…

The design-first approach focuses on the initial design of a visualization without the overhead of data and system…

Using random per-element luminance modulation can increase the visual salience of details in a range of…

The 2013 IEEE Scientific Visualization Contest focused on developmental neuroscience related to the mouse…

How do we tell whether a proposed visualization is a valid pictorial representation of the truth or just an accidental but appealing image Art and…

Simulating complex events is a challenge and often requires carefully selecting simulation parameters.

In computer science, an ontology is essentially a graph-based knowledge representation in which each node corresponds to a concept and each edge specifies a…

The authors propose visual embedding as a model for automatically generating and evaluating visualizations.

For over 25 years, the visualization community has grown and evolved as a function of collaboration with other areas.

To tackle the onset of big data, visual analytics seeks to marry the human intuition of visualization with mathematical models'…

GPU shaders aren't just for glossy special effects.

Interactive tabletops and surfaces ITSs provide rich opportunities for data visualization and analysis and consequently are used…

As dataset size and complexity steadily increase, uncertainty is becoming an important data aspect.

Visualization is often seen as a tool to support complex thinking.

In the 2011 IEEE Visualization Contest, the dataset represented a high-resolution simulation of a centrifugal pump…

A team of scientists and researchers discusses the top 10 challenges in extreme-scale visual analytics VA.

A visit from Superman shows why data visualization should come before data analysis.

In designing colors for digital visualization systems.

Scientists frequently tell stories using visualizations of scientific data, in the process of disseminating findings to peers and the…

For large-scale visualization applications, the visualization community urgently needs general solutions for efficient parallel I/O.

We've developed an intuitive planning system for neurosurgical procedures, using a variety of visualization techniques.

Designing color maps for domain experts differs fundamentally from designing them for general audiences.

Visual analytics seeks to conduct a discourse with the user through images, to stimulate curiosity and a penchant to decipher the unknown.

GPU shaders aren't just for special effects.

Supercomputing centers are unique resources that aim to enable scientific knowledge discovery by employing large computational resources-the…

A proposed scatterplot design combines two other designs.

Visualization is at a point in its development where its practitioners frequently find themselves grappling with big questions about its nature and purpose.

Transportation is the backbone of the civilization and the reason for the economic prosperity.

Energy and resource management is an important and growing research area at the intersection of conservation, sustainable design, alternative energy…

Scientific-visualization research is, nearly by necessity, interdisciplinary.

Our seas and oceans hide a plethora of archaeological sites such as ancient shipwrecks that, overtime, are being destroyed through activities such as…

In situ visualization is clearly a promising solution for ultrascale simulations.

GPU shaders seem used mostly for gaming and other forms of entertainment and simulation.

For casual users, how do goals and incentives interact with visualization usage patterns Professional race car drivers are almost exclusively…

Data sets resulting from physical simulations typically contain a multitude of physical variables.

Many have argued that providing insight is the main goal of information visualization.

In visualization, we use the terms data, information and knowledge extensively, often in an interrelated context.

In the dynamic and interactive world of the Internet, we as a technology community have learned that we can make good Web-based applications better by…

Visualization is often employed as part of the simulation science pipeline, it's the window through which scientists examine their data for deriving…

Criticism is a vital part of the practice of design, architecture, and art.

Currently, most researchers in visualization pay very little attention to vision science.

Visual analytics is an emerging discipline that helps connect dots.