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...

Algorithm visualization software graphically illustrates how computer algorithms work. Past experiments designed to substantiate the software’s pedagogical value have yielded mixed results. A review of these studies suggests that the more actively involved learners are in the visualization process, the better they perform. Given this trend, and inspired by ethnographic fieldwork we conducted in...

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 ...

Many business data visualization applications involve large databases with dozens ofjields and millions of rows. Interactive visualization of these databases is dificult because of the large amount of data involved. We present a method of summarizing large databases which is wellsuited to interactive visualization. We illustrate this with a visualization tool for the domain of call billing data.

Individual differences can influence a learner’s ability to extract information from dynamic, interactive animations. (Lowe, 2004). In three previous experiments, the author demonstrated that 1) spatial ability; and 2) the frequency with which participants interacted with an animated computer model made significant contributions to performance on a spatial visualization task in which they had t...

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...

Informed decisions are based on the availability of information and the ability of decision-makers to manipulate this information. More often than not, the decision-relevant information is subject to uncertainty arising from different sources. Consequently, decisions involve an undeniable amount of risk. An effective visualisation tool to support informed decision-making must enable users to no...