data visualization is the process of transforming data, information, and knowledge into visual form, making use of humans’ natural visual capabilities which reveals relationships in data sets that are not evident from the raw data, by using mathematical techniques to reduce the number of dimensions in the data set while preserving the relevant inherent properties. in this paper, we formulated d...

A rather recent trend in visualization is to combine traditional scientific visualization methods (such as volume rendering) with information and statistical visualization techniques (such as scatterplots). This combination of techniques is particularly useful for multi-variate data defined on spatial grids because the spatial relationships and the characteristics of the data attributes can be ...

Providing means for effectively accessing and exploring large textual data sets is a problem attracting the attention of text mining and information visualization experts alike. The rapid growth of the data volume and heterogeneity, as well as the richness of metadata and the dynamic nature of text repositories, add to the complexity of the task. This chapter provides an overview of data visual...

This paper investigates an approach which is called structural legal visualization (SLV). It is about diagrammatical views which facilitate comprehension of the meaning of legal contents. Complexity reduction is a motive. An issue is the complexity of the entire legal system and the layman’s limited ability to understand legal institutions and the millions of documents. A sequence of views in S...

Illustrative techniques are a new and exciting direction in visualization research. Traditional techniques which have been used by scientific illustrators for centuries are re-examined under the light of modern computer technology. In this paper, we discuss the use of the focus+context concept for the illustrative visualization of volumetric data. We give an overview of the state-ofthe-art and ...

In recent years, there is an emerging direction that leverages information theory to solve many challenging problems in scientific data analysis and visualization. In this article, we review the key concepts in information theory, discuss how the principles of information theory can be useful for visualization, and provide specific examples to draw connections between data communication and dat...

In the past nearly 30 years the information visualization field has produced many robust solutions and approaches and is still an ongoing research area. However still many open problems exist and new research challenges appear. In this paper we discuss the possibilities for interaction with software visualizations in virtual and augmented reality that strive to make the software more tangible.

We extend our previous work on the exploration of static metabolic networks to evolving, and therefore dynamic, pathways. We apply our visualization software to data from a simulation of early metabolism. Thereby, we show that our technique allows us to test and argue for or against different scenarios for the evolution of metabolic pathways. This supports a profound and efficient analysis of t...

In this paper we discuss the mechanisms that have been used to deal with the dynamic nature of data in the CyberNet project. The purpose of this project is to study how three-dimensional (3D) metaphoric visualization may help the user in the process of monitoring large amounts of dynamic information. We present the dynamic data model and the visualization model and then focus on the problem of ...

In this paper, we establish the concept of knowledge visualization and review the state-of-theart in this emergent domain. We define the concept and differentiate it from information visualization. We describe select background disciplines and potential application fields. Various knowledge visualization types are distinguished and examples of their real-life application are provided and discus...