Data visualization gives a direct view of complex data, which is especially helpful for analysis of large high dimensional datasets. However, existing methods often lose simplicity and clarity while rendering large amount of complex data. In this paper, we discuss some essential properties that a data visualization system should have. Also we present an interactive data visualization model whic...

We describe methodology for multidimensional scaling based on interactive data visualization. This methodology was enabled by software in which MDS is integrated in a multivariate data visualization system. The software, called “XGvis”, is described in a companion paper (Buja, Swayne, Littman, Dean and Hofmann 2001), that lays out the implemented functionality in some detail; in the current pap...

Creativity workshops have proved effective in drawing out unexpected requirements and giving form to participants’ novel ideas. Here, we introduce a new addition to the workshop designer’s toolkit: interactive data visualization, used as stimuli to prompt insight and inspire creativity. We first describe a pilot study in which we compare the effectiveness of two different styles of data visuali...

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 ...

Speculative design is an emerging rhetorical strategy in design practices and research to raise public awareness in social agendas that have been little explored. As a stream of this type of research, we propose speculative visualization that aims to achieve speculative design by utilizing techniques from data visualization and graphic design. Specifically, speculative visualization represents ...

The visualization of large volumes of abstract information requires mechanisms to support the user by knowledge discovering. Therefore we developed the level of data concept. Therein the abstract nature of the data and the diverse user community has been taken into account. By using the iceberg metaphor, we classified the information space into several layers. The different backgrounds and anal...

In this work, we develop an analytic and visualization system for citizens and government agencies to understand, track, and predict the construction dynamics in an urban area. The presented system consists of three major functions. First, we provide an interactive data visualization interface that allows various users to easily investigate the relationships among different construction types, ...

TOPOLOGICAL ANALYSIS OF SCALAR FUNCTIONS FOR SCIENTIFIC DATA VISUALIZATION by Vijay Natarajan Department of Computer Science Duke University

Data is a collection of information that contains broad picture related to situation. The amount data not necessarily better, because large set makes it difficult convert into in timely manner, especially analyzing which produces meaningful and relevant ultimately results quick appropriate action. Higher education management Indonesia requires fast accurate academic reports so can facilitate st...