In this paper we present a new technique for visualizing multidimensional information. We describe objects of a higher dimensional information space as small closed free-form-surfaces in the visualization. The location, size and shape of these surfaces describe the original objects in information space uniquely. The underlying enhanced spring model is introduced. The technique is applied to two...

We describe a meta-notation devised to express the major structural characteristics in widely-used data visualizations. The meta-notation consists of unary and binary operators that can be combined to represent a visualization. Capturing structural features of a visualization, our meta-notation can be applied to match or compare two visualizations at a conceptual level. For example, a user’s re...

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The context-aware discovery and ranking of visualization components is a crucial part of an adaptive, automated information visualization system. Since existing approaches allow for using expert knowledge formalized a priori, insights gained during the visualization processes by the users, e. g., suitable data-visualization combinations, are mostly neglected. In this paper, we propose a concept...

In this paper, we present some of our recent experiences with a data visualization tool and offer some use cases where the visualization tool can potentially drive programmatic change in universities. The Ribbon Tool provides an interactive visualization of student flows through academic programs, progressing over time to either successful completion (graduation) or attrition. Through effective...

I would like to congratulate M. Hubert, P. Rousseeuw and P. Segaert for this stimulating and useful work on outlier detection methods for multivariate functional data. They define and classify rigorously different types of functional outliers and propose several techniques for detecting them in multivariate functional data. These authors use the notion of data depth and distances derived from t...

In this work, we present a novel approach for data visualization based on interactive dimensionality reduction (iDR). The main idea of the paper relies on considering for visualization the intermediate results of non-convex DR algorithms under changes on the metric of the input data space driven by the user. With an appropriate visualization interface, our approach allows the user to focus on t...

Purpose The purpose of this paper is to suggest that physical experience can contribute to the comprehension of scientific data, especially through artistic approaches. Design/methodology/approach A number of relevant case studies is presented to make the case. Findings ‘Objective’ or neutral data-visualisation does not exist. Every visualisation process relies on human definitions or mediation...

Abstract The topology of vector fields offers a well known way to show a “condensed” view of the stream line behavior of a vector field. The global structure of a field can be shown without time-consuming user interaction. With regard to large data visualization, one encounters a major drawback: the necessity to analyze a whole data set, even when interested in only a small region. We show that...

The research area of spatiotemporal visualization has received much attention over the past decade due to its challenging aspects and high benefits. In this paper we present the visualization of spatiotemporal data in the form of earth terrain movements. An additional temporal dimension t is added to the terrain spatial dimensions of x, y and z thus creating a spatiotemporal visualization syste...