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15th International Conference on Information Visualisation (IV)

作者： Kerren, Andreas Prangova, Mimi Paradis, Carita Linnaeus Univ Sch Comp Sci Phys & Math DFM SE-35195 Vaxjo Sweden Lund Univ Ctr Languages & Literature SE-22100 Lund Sweden

ISBN: (纸本)9780769544762

On the basis of a large corpus of wine reviews, this paper proposes a range of interactive visualization techniques that are useful for linguistic exploration and analysis of lexical, grammatical and discursive patterns in text. Our visualization tool allows linguists and others to make comparisons of visual, olfactory, gustatory and textual properties of different wines from different parts of the worlds, from different grape varieties, or from different vintages. It also supports the immediate creation of visual profiles for descriptions of sensory perceptions for exploratory purposes as well as for purposes of confirmatory investigations of linguistic patterns in text and discourse and their correlations to metadata variables.

关键词： multivariate visualization interaction techniques text visualization scatter plot dynamic queries wine reviews

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GraphScape: Integrated multivariate network visualization

GraphScape: Integrated multivariate network visualization

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Asia/Pacific Symposium on Visualisation 2007

作者： Xu, Kai Cunningham, Andrew Hong, Seok-Hee Thomas, Bruce H. National ICT Australia Australia University of South Australia Australia National ICT Australia University of Sydney Australia

ISBN: (纸本)9781424408085

In this paper, we introduce a new method, GraphScape, to visualize multivariate networks, i.e., graphs with multivariate data associated with their nodes. GraphScape adopts a landscape metaphor with network structure displayed on a 2D plane and the surface height in the third dimension represents node attribute. More than one attribute can be visualized simultaneously by using multiple surfaces. In addition, GraphScape can be easily combined with existing methods to further increase the total number of attributes visualized. One of the major goals of GraphScape is to reveal multivariate graph clustering, which is based on both network structure and node attributes. This is achieved by a new layout algorithm and an innovative way of constructing attribute surface, which also allows visual clustering at different scales through interaction. A simplified attribute surface model is also proposed to reduce computation requirement when visualizing large networks. GraphScape is applied to networks of three different size (20, 100, and 1500) to demonstrate its effectiveness.

关键词： graph visualization multivariate visualization

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multivariate visualization techniques in statistical process monitoring and their applications to semiconductor manufacturing

Multivariate visualization techniques in statistical process...

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Conference on Data Analysis and Modeling for Process Control III

作者： He, Q. Peter Span LLC Adv Proc Control Austin TX 78741 USA

ISBN: (纸本)0819461989

In today's semiconductor industry, massive amount of data are easily made available in sensor equipped and computer controlled processes, but at the same time, the visualization of high dimensional data has been difficult. This work gives an overview of the most commonly used multivariate visualization techniques for the visualization of high dimensional data. The visualization of process dynamics in the original variable space is discussed. This work also presents visualization of data clusters in the transformed space using projection methods, such as principal component analysis (PCA), class preserving projection (CPP) and methods proposed in this work based on Fisher discriminant analysis (FDA), and support vector machines (SVM), as well as the discussion of the visualization of the process dynamics in the transformed low dimensional space. A rapid thermal annealing process data set is used through the paper as the example data set for comparison of various visualization techniques.

关键词： multivariate visualization principal component analysis Fisher discriminant analysis support vector machines

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Tile-based parallel coordinates and its application in financial visualization

Tile-based parallel coordinates and its application in finan...

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Conference on visualization and Data Analysis 2010

作者： Alsakran, Jamal Zhao, Ye Zhao, Xinlei Kent State Univ Dept Comp Sci Kent OH 44242 USA Kent State Univ Dept Finance Kent OH 44242 USA Off Comptroller Currency Washington DC 20024 USA

ISBN: (纸本)9780819479235

Parallel coordinates technique has been widely used in information visualization applications and it has achieved great success in visualizing multivariate data and perceiving their trends. Nevertheless, visual clutter usually weakens or even diminishes its ability when the data size increases. In this paper, we first propose a tile-based parallel coordinates, where the plotting area is divided into rectangular tiles. Each tile stores an intersection density that counts the total number of polylines intersecting with that tile. Consequently, the intersection density is mapped to optical attributes, such as color and opacity, by interactive transfer functions. The method visualizes the polylines efficiently and informatively in accordance with the density distribution, and thus, reduces visual cluttering and promotes knowledge discovery. The interactivity of our method allows the user to instantaneously manipulate the tiles distribution and the transfer functions. Specifically, the classic parallel coordinates rendering is a special case of our method when each tile represents only one pixel. A case study on a real world data set, U. S. stock mutual fund data of year 2006, is presented to show the capability of our method in visually analyzing financial data. The presented visual analysis is conducted by an expert in the domain of finance. Our method gains the support from professionals in the finance field, they embrace it as a potential investment analysis tool for mutual fund managers, financial planners, and investors.

关键词： Large-size Data visualization multivariate visualization Parallel Coordinates Transfer Functions Tile-based Image Financial visualization Mutual Fund

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Scalable Multi-variate Analytics of Seismic and Satellite-based Observational Data

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2010年第6期16卷 1413-1420页

作者： Yuan, Xiaoru He, Xiao Guo, Hanqi Guo, Peihong Kendall, Wesley Huang, Jian Zhang, Yongxian Peking Univ Minist Educ Key Lab Machine Percept Beijing Peoples R China Peking Univ Sch EECS Beijing Peoples R China Univ Tennessee Dept Elect Engn & Comp Sci Knoxville TN 37996 USA

Over the past few years, large human populations around the world have been affected by an increase in significant seismic activities. For both conducting basic scientific research and for setting critical government policies, it is crucial to be able to explore and understand seismic and geographical information obtained through all scientific instruments. In this work, we present a visual analytics system that enables explorative visualization of seismic data together with satellite-based observational data, and introduce a suite of visual analytical tools. Seismic and satellite data are integrated temporally and spatially. Users can select temporal and spatial ranges to zoom in on specific seismic events, as well as to inspect changes both during and after the events. Tools for designing high dimensional transfer functions have been developed to enable efficient and intuitive comprehension of the multi-modal data. Spread-sheet style comparisons are used for data drill-down as well as presentation. Comparisons between distinct seismic events are also provided for characterizing event-wise differences. Our system has been designed for scalability in terms of data size, complexity (i.e. number of modalities), and varying form factors of display environments.

关键词： Earth Science visualization multivariate visualization Seismic Data Scalable visualization

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A Survey of Radial Methods for Information visualization

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2009年第5期15卷 759-776页

作者： Draper, Geoffrey M. Livnat, Yarden Riesenfeld, Richard F. Brigham Young Univ Hawaii Dept Comp & Informat Sci Laie HI 96762 USA Univ Utah Sci Comp & Imaging Inst Salt Lake City UT 84112 USA Univ Utah Sch Comp Salt Lake City UT 84112 USA

Radial visualization, or the practice of displaying data in a circular or elliptical pattern, is an increasingly common technique in information visualization research. In spite of its prevalence, little work has been done to study this visualization paradigm as a methodology in its own right. We provide a historical review of radial visualization, tracing it to its roots in centuries-old statistical graphics. We then identify the types of problem domains to which modern radial visualization techniques have been applied. A taxonomy for radial visualization is proposed in the form of seven design patterns encompassing nearly all recent works in this area. From an analysis of these patterns, we distill a series of design considerations that system builders can use to create new visualizations that address aspects of the design space that have not yet been explored. It is hoped that our taxonomy will provide a framework for facilitating discourse among researchers and stimulate the development of additional theories and systems involving radial visualization as a distinct design metaphor.

关键词： Information visualization multivariate visualization visualization techniques and methodologies interactive data exploration and discovery

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An integrated exploration approach to visualizing multivariate particle data

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COMPUTING IN SCIENCE & ENGINEERING 2008年第4期10卷 20-29页

作者： Jones, Chad Ma, Kwan-Liu Ethier, Stephane Lee, Wei-Li Univ Calif Davis Davis CA 95616 USA

The authors describe a data exploration system that visualizes time-varying, multivariate, point-based data from gyrokinetic particle simulations. By using two interaction modes, their system lets researchers explore collections of densely, packed particles and discover interesting aspects, such as the location and motion of particles trapped in turbulent plasma flow.

关键词： Particle visualization information visualization multivariate visualization parallel coordinates user interfaces

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multivariate Visual Explanation for High Dimensional Datasets

Multivariate Visual Explanation for High Dimensional Dataset...

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IEEE Symposium on Visual Analytics Science and Technology

作者： Barlowe, Scott Zhang, Tianyi Liu, Yujie Yang, Jing Jacobs, Donald Univ N Carolina Dept Comp Sci Charlotte NC 28223 USA Univ N Carolina Dept Phys & Opt Sci Charlotte NC 28223 USA

ISBN: (纸本)9781424429356

Understanding multivariate relationships is an important task in multivariate data analysis. Unfortunately, existing multivariate visualization systems lose effectiveness when analyzing relationships among variables that span more than a few dimensions. We present a novel multivariate visual explanation approach that helps users interactively discover multivariate relationships among a large number of dimensions by integrating automatic numerical differentiation techniques and multidimensional visualization techniques. The result is an efficient workflow for multivariate analysis model construction, interactive dimension reduction, and multivariate knowledge discovery leveraging both automatic multivariate analysis and interactive multivariate data visual exploration. Case studies and a formal user study with a real dataset illustrate the effectiveness of this approach.

关键词： visual analysis multivariate analysis dimension reduction multivariate model construction multivariate visualization

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Multiple views on system traces

Multiple views on system traces

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IEEE Pacific Visualisation Symposium

作者： Pretorius, A. Johannes van Wijk, Jarke J. Tech Univ Eindhoven Eindhoven Netherlands

ISBN: (纸本)9781424419661

We present a new method for the visual analysis of multivariate system traces. Our method combines three perspectives: (1) a schematic diagram, (2) time series plots and (3) a state transition graph. After we show how these perspectives are related, we discuss their integration into a single solution for the visual analysis of multivariate system traces. The combination of the three perspectives provides the user with a rich analysis interface that enables gaining significant insight into system behavior. We illustrate some of the advantages of our approach by providing a real-world use case.

关键词： trace visualization time series visualization user defined widgets multivariate visualization system analysis

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Extending the dimensionality of flatland with attribute view probabilistic models

Extending the dimensionality of flatland with attribute view...

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Conference on visualization and Data Analysis 2008

作者： Neufeld, Eric Bickis, Mikelis Grant, Kevin Univ Saskatchewan Dept Comp Sci Saskatoon SK S7N 5C9 Canada Univ Saskatchewan Dept Math & Stat Saskatoon SK S7N5E6 Canada Univ Lethbridge Dept Math & Comp Sci Lethbridge AB T1K 3M4 Canada

ISBN: (纸本)9780819469816

In much of Bertin's Semiology of Graphics, marks representing individuals are arranged on paper according to their various attributes (components). Paper and computer monitors can conveniently map two attributes to width and height, and can map other attributes into nonspatial dimensions such as texture, or colour. Good visualizations exploit the human perceptual apparatus so that key relationships are quickly detected as interesting patterns. Graphical models take a somewhat dual approach with respect to the original information. Components, rather than individuals, are represented as marks. Links between marks represent conceptually simple, easily computable, and typically probabilistic relationships of possibly varying strength, and the viewer studies the diagram to discover deeper relationships. Although visually annotated graphical models have been around for almost a century, they have not been widely used. We argue that they have the potential to represent multivariate data as generically as pie charts represent univariate data. The present work suggests a semiology for graphical models, and discusses the consequences for information visualization.

关键词： multivariate visualization uncertainty visualization multidimensional visualization

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