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2017•Unpublished venueRequires access

Survey of Information Visualization Techniques for Enhancing Visual Analysis

Rachael Fernandez, Noora Fetais

Open publisher page 6 citations

Abstract

Visualization of data helps to transform a problem into a perceptual task that is easier to comprehend. It helps users to perceive patterns from large amount of data in order to make informed decisions. When visualization is coupled with interactive techniques, it boosts cognition levels in users, as the users can now directly interact with the data. In this paper, we present some of the popular techniques that are used for enhancing the quality of 2D and 3D visualization models.

About this research paper

What this paper is about

Visualization of data helps to transform a problem into a perceptual task that is easier to comprehend. It helps users to perceive patterns from large amount of data in order to make informed decisions. When visualization is coupled with interactive techniques, it boosts cognition levels in users, as the users can now directly interact with the data. In this paper, we present some of the popular techniques that are used for enhancing the quality of 2D and 3D visualization models.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Visualization of data helps to transform a problem into a perceptual task that is easier to comprehend. It helps users to perceive patterns from large amount of data in order to make informed decisions. When visualization is coupled with interactive techniques, it boosts cognition levels in users, as the users can now directly interact with the data. In this paper, we present some of the popular techniques that are used for enhancing the quality of 2D and 3D visualization models.

Key concepts: Visualization, Computer science, Visual analytics, Information visualization, Interactive visual analysis, Data visualization, Perception, Human–computer interaction

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