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7th Meeting on visual data exploration and analysis

作者： Yao, HY Wenger, K Livny, M Univ Wisconsin Dept Mat Sci & Engn Madison WI 53706 USA

ISBN: (纸本)0819435783

DEVise (data exploration and visualization) is a general-purpose data visualization and exploration system capable of handling datasets from a variety of sources. Users create visual presentations, which they, or others, can dynamically explore to search for patterns in their data. The JavaScreen is a Java applet we have recently developed, which functions as a DEVise client. With it, users can explore visual presentations via the web, without having to actually install the DEVise software. Our paper covers three main areas: DEVise itself, including the fundamental DEVise model and adaptations required to support the JavaScreen;the JavaScreen and related software;and the use of DEVise and the JavaScreen in several applications.

关键词： data exploration data visualization world wide web client-server visual query

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Immersive data visualization with the VisionDome

Immersive data visualization with the VisionDome

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7th Meeting on visual data exploration and analysis

作者： Evans, F Narayanan, A Schlumberger Houston TX 77056 USA

ISBN: (纸本)0819435783

In this paper, we present our work with the VisionDome(1), a fully immersive, single-projection, three-dimensional display device. As contrasted to other immersive systems, the VisionDome does not require any equipment for the user to wear, is relatively inexpensive and portable, and can support multi-user collaboration. In this paper we describe the technical specifications of the VisionDome, as well as the problems encountered when viewing inside this immersive device. As a case study, we show the results of incorporating the VisionDome within GeoViz(2), which is a visualization software package for geophysical and geological data. We show how users of GeoViz are successfully finding new locations for oil more rapidly based on the immersive display of seismic and other data that they are viewing from inside the VisionDome.

关键词： virtual reality geophysics immersive display devices VisionDome collaborative environment

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Methods for interactive visualization of large flow data sets

Methods for interactive visualization of large flow data set...

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7th Meeting on visual data exploration and analysis

作者： de Leeuw, W van Liere, R CWI Ctr Math & Comp Sci NL-1090 GB Amsterdam Netherlands

ISBN: (纸本)0819435783

Modern computational fluid dynamics simulations are capable of the detailed simulation of fluid flow. The output data sets of these simulations are very large and information rich. The importance of data visualization is clearly recognized for the presentation of these data sets. For gaining new insight in the nature of flow, interactive visualization methods are essential. The goal of our work is to develop a environment which allows fluid dynamics experts to analyze very large flow fields. This paper motivates the need for an interactive visualization environment. The design of the environment is centered around two fundamental beliefs: First, the environment should integrate modeling and visualization. Second, interactive visualization is essential so that exploration is stimulated. We discuss two interactive visualization methods and their application to a flow field resulting from a direct numerical simulation. We believe that the working methods discussed in this paper will be typical of future visualization environments.

关键词： interactive scientific visualization flow visualization high performance computing direct numerical simulation

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DriftWeed - a visual metaphor for interactive analysis of multivariate data

DriftWeed - a visual metaphor for interactive analysis of mu...

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visual data exploration and analysis vii

作者： Rose, Stuart Wong, Pak Chung Univ of Arizona Tucson United States

We present a visualization technique that allows a user to identify and detect patterns and structures within a multivariate data set. Our research builds on previous efforts to represent multivariate data in a two-dimensional information display through the use of icon plots. Although the icon plot work done by Pickett and Grinstein is similar to our approach, we improve on their efforts in several ways. Our technique allows analysis of a time series without using animation;promotes visual differentiation of information clusters based on measures of variance;and facilitates exploration through direct manipulation of geometry based on scales of variance. Our goal is to provide a visualization that implicitly conveys the degree to which an element's ordered collection (pattern) of attributes varies from the prevailing pattern of attributes for other elements in the collection. We apply this technique to multivariate abstract data and use it to locate exceptional elements in a data set and divisions among clusters.

关键词： data mining

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GGEbiplot - A windows application for graphical analysis of multienvironment trial data and other types of two-way data

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AGRONOMY JOURNAL 2001年第5期93卷 1111-1118页

作者： Yan, WK Univ Guelph Dept Plant Agr Guelph ON N1G 2W1 Canada

Plant breeding trials produce quantities of data and finding the useful information within that data has historically been a major challenge of plant breeding. A recently developed graphical data summary, called GGEbiplot, can aid in data exploration. GGEbiplot is a Windows application that performs biplot analysis of two-way data that assume an entry x tester structure. GGEbiplot analyzes the data and outputs the results as an image, and it also produces an interactive show of the data. It allows interactive visualization of the biplot from various perspectives. A multienvironment trial data set, in which cultivars are entries and environments are testers, was used to demonstrate the functions of GGEbiplot. These include but are not limited to: (i) ranking the cultivars based on their performance in any given environment, (ii) ranking the environments based on the relative performance of any given cultivar, (iii) comparing the performance of any pair of cultivars in different environments, (iv) identifying the best cultivar in each environment, (v) grouping the environments based on the best cultivars, (vi) evaluating the cultivars based on both average yield and stability, (vii) evaluating the environments based on both discriminating ability and representativeness, and (viii) visualizing all of these aspects for a subset of the data by removing some of the cultivars or environments. GGEbiplot has been applied to visual analysis of genotype x environment data, genotype x trait data, genotype x marker data, and diallel cross data.

关键词： .entries Representativeness windows trial data discriminating graphical average yield testers GGE biplot multienvironment Types of Two-Way GGEbiplot entry tester best cultivar

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Visible threads:: A smart VR interface to digital libraries

Visible threads:: A smart VR interface to digital libraries

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7th Meeting on visual data exploration and analysis

作者： Börner, K Indiana Univ Sch Lib & Informat Sci Bloomington IN 47405 USA

ISBN: (纸本)0819435783

The importance of information as a resource for economic growth and education is steadily increasing. Due to technological advances in computer industry and the explosive growth of the Internet much valuable information will be available in digital libraries. This paper introduces a system that aims to support a user's browsing activities in document sets retrieved from a digital library. Latent Semantic analysis is applied to extract salient semantic structures and citation patterns of documents stored in a digital library in a computationally expensive batch job. At retrieval time, cluster techniques are used to organize retrieved documents into clusters according to the previously extracted semantic similarities. A modified Boltzman algorithm [1] is employed to spatially organize the resulting clusters and their documents in the form of a three-dimensional information landscape or "i-scape". The i-scape is then displayed for interactive exploration via a multi-modal, virtual reality CAVE interface [8]. Users' browsing activities are recorded and user models are extracted to give newcomers online help based on previous navigation activity as well as to enable experienced users to recognize and exploit past user traces. In this way, the system provides interactive services to assist users in the spatial navigation, interpretation, and detailed exploration of potentially large document sets matching a query.

关键词： digital libraries singular value decomposition latent semantic analysis Boltzman algorithm conceptual clustering information visualization

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Virtual Environments for scene of crime reconstruction and analysis

Virtual Environments for scene of crime reconstruction and a...

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7th Meeting on visual data exploration and analysis

作者： Howard, TLJ Murta, AD Gibson, S Univ Manchester Dept Comp Sci Adv Interfaces Grp Manchester M13 9PL Lancs England

ISBN: (纸本)0819435783

This paper describes research conducted in collaboration with Greater Manchester Police (United Kingdom), to evaluate the utility of Virtual Environments for scene of crime analysis, forensic investigation, and law enforcement briefing and training. We present an illustrated case study of the construction of a high-fidelity virtual environment, intended to match a particular real-life crime scene as closely as possible. We describe and evaluate the combination of several approaches including: the use of the the Manchester Scene Description Language for constructing complex geometrical models;the application of a radiosity rendering algorithm with several novel features based on human perceptual considerations;texture extraction from forensic photography;and experiments with interactive wallthroughs and large-screen stereoscopic display of the virtual environment implemented using the MAVERIK system. We also discuss the potential applications of Virtual Environment techniques in the Law Enforcement and Forensic communities.

关键词： Virtual Environments computer graphics radiosity scene of crime reconstruction MAVERIK

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Multi-resolution wavelet analysis for simplification and visualization of multi-textured meshes

Multi-resolution wavelet analysis for simplification and vis...

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7th Meeting on visual data exploration and analysis

作者： Toubin, M Page, DL Dumont, C Truchetet, F Abidi, MA Univ Bourgogne F-71200 Le Creusot France

ISBN: (纸本)0819435783

This paper describes a method to reduce multi-texture 3D meshes using a multi-resolution wavelet analysis. Large and dense multi-modal meshes require new methods for efficient display. In this paper, we present a mesh simplification process, that inherently deals with multi-dimensional data sets, controlled in a feature space composed of geometry, curvature, and the textures themselves. The result of the wavelet analysis using a multi-resolution analysis (MRA) based on the 2D quincunx-wavelet transform is considered as a texture map called the "detail relevance". Virtual range and texture images are captured from selected viewpoints located around the object. The detail extraction is achieved using a multi-resolution approach based on the wavelet cascade analysis. The MRA process extracts detail information at various resolutions and produces a texture image that shows the relevance information attached to each vertex of the mesh. The user has input in this process to select what resolutions are more relevant than others. This approach is useful for filtering noise, preserving discontinuities, mining for surface details, reducing data, and many other applications. We present simplification results of digital elevation maps and 3D objects.

关键词： wavelet transform data mining multi-modal 3D object mesh simplification

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Parallel visualization of large data sets

Parallel visualization of large data sets

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7th Meeting on visual data exploration and analysis

作者： Rosenberg, R Lanzagorta, M Chtchelkanova, A Khokhlov, A USN Res Lab Washington DC 20375 USA

ISBN: (纸本)0819435783

In this paper we describe our efforts towards the parallel visualization of large data sets. We describe the Fully Threaded Tree (FTT) structure developed at NRL to tackle the problem of massive parallel calculations using adaptive mesh refinement methods. All operations with FTT are performed in parallel and require only a small memory overhead. The FTT can be viewed as a data compression scheme that dramatically improves the performance of standard finite difference algorithms by performing calculations on the compressed data in situ. Because of the tremendous benefits of this type of data structure, it is of great interest to develop visualization algorithms that are native to the FTT. Using the FTT library, we convert the FTT data structure to an unstructured data set and discuss applications to both scatter dot visualization and parallel ray-tracing. The latter technique gives a good indication of the performance and scalability of the FTT algorithm for ray-tracing. We then discuss conversion of the FTT data structure for virtual reality visualization in an immersive room. Our results are presented using an example of a numerical calculation of a detonation in a rectangular cavity using from 1 to 2 million cells.

关键词： visualization data conversion Algorithm development Computer simulations Volume rendering Analytical research Optical spheres Ray tracing Virtual reality Software

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visualizing mobile robot sonar data using polygon set operations

Visualizing mobile robot sonar data using polygon set operat...

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7th Meeting on visual data exploration and analysis

作者： Murta, A Roper, K Univ Manchester Dept Comp Sci Adv Interfaces Grp Manchester M13 9PL Lancs England

ISBN: (纸本)0819435783

Mobile robots commonly employ a variety of sensors in order to gather information about their immediate environment. Whereas some types of sensor (such as video) produce a wealth of environmental information in a human-understandable form, it is often low-level data such as range-finder measurements which are of greatest interest to the operator. This paper describes an approach to the visualization of data from acoustic sensors which use echo-location to determine object distances. Acoustic distance measurement is problematic in that echoes may fail to be returned to the source, range assessments may be inaccurate, and ghost readings may also appear in the data. The visualization method described attempts to overcome the idiosyncrasies of acoustic sensing to present a relatively consistent representation of the robot's spatial environment to the operator. It maintains a geometric model of the perceived environment, allowing ambiguities in the current sensor data to be identified. The model is updated using polygon set operations to incorporate new sensor readings. Two features are recorded: the extent of free space identified within the environment, and the location of any obstacles which have been detected. This visualization approach is also tolerant to inaccuracies in odometry measurement. An experimental application of the method is reported.

关键词： telerobotics echo location visualization map building sensor ambiguity

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