September 6, 2011 § Leave a comment
Visual Analytics is the science of analytical reasoning facilitated by visual interactive interfaces. Being especially concerned with sense making and reasoning, it integrates new computational and theory-based tools with innovative interactive techniques and visual representations to enable human-information discourse. Visual analytics is a broad multidisciplinary field of which information visualisation is only a small subset.
Information Visualisation amplifies human cognitive capabilities by:
- Increasing Cognitive Resources – e.g. visuals expanding memory.
- Reducing Search Space – e.g. large amount of data in small space.
- Enhance Pattern Recognition – e.g. info organised spatially by time.
- Support Perceptual Inference of Relationships – often difficult.
- Perceptual Monitoring – e.g. large number of, and unexpected, events.
- Providing a Manipulation Medium – e.g. exploration, collaboration.
Information visualisation, combined with data analysis, can be applied to analytic reasoning to support the sense-making process.
The multidisciplinary field of Visual Analytics consists of:
- Analytical Reasoning Techniques
method by which users obtain deep insights that directly support situation assessment, planning, and decision making.
- Data Representations and Transformations
converting all types of conflicting and dynamic data to support visualisation and analysis.
- Techniques for Production, Presentation, & Dissemination
of analysis results, communicating information to various audiences in the correct context.
- Visual Representation & Interaction Techniques
allowing users to quickly explore and understand large amounts of data by utilising the human eye’s broad bandwidth.
Visual Analytics must facilitate high-quality human judgement with a limited time. They must enable diverse analytical tasks:
- Understanding Past & Present
quickly, recognising trends and events that have produced current conditions.
- Identifying Potential Futures
(and their Warning signs).
- Monitoring Current Events for Warning Signs
and unexpected events.
- Determining Indicators
of the Intent of an Action / Individual
- Supporting Decision Maker in Times of Crisis
These tasks are conducted through individual and collaborative analysis, often under extreme time pressure. Visual analytics must enable Hypothesis-Based and Scenario-Based Analytical Techniques, providing support for the analyst to reason based on available evidence.
Visualisation and Analysis of Large & Complex Networks
Established Graph Drawing algorithms often attempt to solve 1. Scalability, 2. Visual Complexity, or 3. Domain Complexity.
Such algorithms have included;
[ GEOMI (Geometry for Maximum Insight) is a visual analysis tool for large and complex networks. ]
Navigation can often be aided by animations that preserve the mental map.
Some visualisations like the actor-movie (two mode network), suitable use (p,q)-core for filtering. Like k-core, but using two variables per class clustering.
- Illuminating the Path: The Research and Development Agenda for Visual Analytics (nvac)