An empirical comparison of three commercial information visualization systems on three different databases is presented. The systems use different paradigms for visualizing data. Tasks were selected to be "ecologically relevant", i.e. meaningful and interesting in the respective domains. Users of one system turned out to solve problems significantly faster than users of the other two, while use...

Computer graphics, scientific visualization, information visualization, and graph drawing are areas which deal with visual information layout. They all use the remarkable properties of the human visual perception to rapidly absorb and analyse visual information. The paper discusses important visualization aspects and gives examples of how visualization techniques facilitate insight into data ch...

Flow visualization is a fascinating sub-branch of scientific visualization. With ever increasing computing power, it is possible to process ever more complex fluid simulations. However, a gap between data set sizes and our ability to visualize them remains. This is especially true for the field of flow visualization which deals with large, timedependent, multivariate simulation datasets. In thi...

INTRODUCTION Recently, data visualization has received a great deal of attention. Furthermore, the need for better information visualization tools is widely recognized [1], [2]. One of the main reasons for better information visualization tools is the limitation of the human cognitive process. Specifically, humans have difficulty extracting meaningful information from large volumes of data [2]....

There has always been a desire for large screen systems. Large screens can easily be used for public media. They are also desirable because they can cover a larger visual angle for information. As screens become bigger, we also try to increase resolution to maximize the visual information bandwidth. With a larger capacity for visual information, these large screens become attractive for numerou...

—In this survey project, the data visualization and information visualization in the sensor network are the main topics. Base on the literature review in related topics, this project report will summarize some of the encoding methods with the framework they proposed. The main section of this paper will be separated into three sections: visualization in properties and problems on sensor network,...

Scientific visualization strives to present complex concepts and data in graphic forms that maximize information gain for the viewer. In this study, we examine a well-known and highly regarded example of scientific visualization, identifying scenes where principles of graphic design, perception, and cognition suggest improvements. We focus on the identification of primary and supporting element...

The water monitoring network in Northern California provides us with an integrated flow and water-quality dataset of the Sacramento-San Joaquin Delta, the reservoirs, and the two main rivers feeding the Delta, namely the Sacramento and the San Joaquin rivers. Understanding the dynamics and complex interactions among the components of this large water supply system and how they affect the water ...

Our ongoing work aims to better understand the relationship between visual marks and data encodings that comprise innovative data visualizations. By innovative, we refer to data visualizations that in part extend or deviate from conventional visualization techniques. Authors of these types of visualizations engage and inform their audience by incorporating novel data-bound compositions. In our ...

Research on visual data representations is traditionally classified into methods assuming an inherent mapping from data values to spatial coordinates (scientific visualization and real-time rendering) and methods for abstract data lacking explicit spatial references (information visualization). In practice, however, many applications need to analyze data comprising abstract and spatial informat...