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检索条件"任意字段=International Conference on Coordinated and Multiple Views in Exploratory Visualization 2007"

共 146 条记录，以下是121-130 订阅

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The LuMPB Key: A multiple View Interface to Explore High Dimensional Mountain Pine Beetle Simulation Data

The LuMPB Key: A Multiple View Interface to Explore High Dim...

引用

international conference on coordinated and multiple views in exploratory visualization

作者： L. Schlesier J. Hughes A. Fall M. Sheelagh T. Carpendale Faculty of Computer Science Otto-von-Guericke University Magdeburg Germany Department of Zoology University of Toronto Toronto Canada Gowlland Technologies Ltd. Victoria Canada Department of Computer Science University of Calgary Calgary Canada

In this paper we present the landscape unit mountain pine beetle key (LuMPB key) - a tool for assessing different mountain pine beetle (MPB) management scenarios on a landscape scale under various conditions. Based on a conceptual model of the simulation data we develop a multiple view interface which provides access to and exploration of the data. Different management scenarios can be compared and a given management scenario can be considered under varying simulation conditions, such as forest type, climate, and degree of initial beetle infestation. On the one hand we use a multiple view interface to provide understandable chunks of information. On the other hand we use it to communicate that different views of the data exist. views are optionally linked together to support this awareness of possible different ways of looking at this data

关键词： Computational modeling Discrete event simulation Computer simulation Computer science Zoology Technology management Information management Stochastic processes Vegetation mapping Data visualization

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A multiple View System for Modeling Building Entities

A Multiple View System for Modeling Building Entities

引用

international conference on coordinated and multiple views in exploratory visualization

作者： F. Steinicke T. Ropinski K. Hinrichs G. Bruder Institut für Informatik Westfälische Wilhelms-Uiiiversität Münster Germany

Modeling virtual buildings is an essential task in the city planning domain whereas several aspects have essential influence. Planners have to deal with different types of potentially multiform datasets; moreover they have to consider certain guidelines and constraints that are imposed on the development areas to which buildings are related. The planning process can be divided into different subtasks with varying requirements regarding the interaction techniques that are used for their accomplishment. To incorporate these aspects multiple view systems have proven enormous potential in order to provide efficient user interfaces. In this paper, we present strategies for modeling virtual building entities via a multiple view system as part of a 3D decision support system that enables the intuitive generation and evaluation of building proposals. City planners have been involved in the design process of the system, in particular the multiple view concepts. Therefore each view of the system, which visualizes different aspects concerning the underlying models, meets the demands of city planners. Furthermore, we present both coupled and uncoupled interaction techniques between different views with respect to requirements of the city planning domain

关键词： Urban planning Buildings Cities and towns Guidelines Process planning User interfaces Decision support systems Proposals Process design visualization

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MultiSOM: A Multiview Neural Model for Accurately Analyzing and Mining Complex Data

MultiSOM: A Multiview Neural Model for Accurately Analyzing ...

引用

international conference on coordinated and multiple views in exploratory visualization

作者： J.-C. Lamirel S. Al Shehabi LORIA France

In the procedure of information analysis, like in the domain of patent analysis, the complexity of the studied topics and the accuracy of the question to be answered may often lead the analyst to partition his reasoning into viewpoints. Most of the classical information analysis tools can only manage an analysis of the studied domain in a global way. The information analysis tool is considered in this paper is the MultiSOM tool, whose core model represents a significant extension of the classical Kohonen SOM neural model. The MultiSOM neural-based tool introduces the concepts of viewpoints and dynamics into the information analysis with its multi-maps displays and its inter-map communication process. The dynamic information exchange between maps can be exploited by an analyst in order to perform cooperative deduction between several different analyzes that have been performed on the same data. This paper demonstrates the efficiency of a viewpoint-oriented analysis as compared to a global analysis in the domain of patents. Both objective and subjective quality criteria are taken into account for quality evaluation

关键词： Data mining Information analysis Performance analysis Displays Data analysis Association rules Artificial neural networks Protocols Unsupervised learning Data visualization

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Visual data analysis using tracked statistical measures within parallel coordinate representations

Visual data analysis using tracked statistical measures with...

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international conference on coordinated and multiple views in exploratory visualization

作者： D. Ericson J. Johansson M. Cooper NVIS-Norrköping Visualization and Interaction Studio Linköping University Linkoping Sweden

With our increasing ability to capture or produce and to store large multivariate data, these data sets are increasing both in size and complexity. Many conventional techniques for visualizing multivariate data suffer from problems like cluttered displays since they are not designed to handle these amounts of entries. We present a novel method to overcome this problem by interactively selecting and displaying statistics derived from the data in a separate view. Changes in the display are visually tracked by animation and vector plotting for easy comparison of various measures applied to different subsets of the data.

关键词： Data analysis Coordinate measuring machines Data visualization Statistics Animation Graphical user interfaces Brushes Two dimensional displays Measurement standards Data mining

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exploRase: exploratory Data Analysis of Systems Biology Data

exploRase: Exploratory Data Analysis of Systems Biology Data

引用

international conference on coordinated and multiple views in exploratory visualization

作者： M. Lawrence Eun-Kyung Lee D. Cook H. Hofmann E. Wurtele Iowa State University USA Seoul National University South Korea

exploRase is a software tool for the exploratory analysis of systems biology data. Exploration of complex biochemical systems requires the integration of experimental data, such as transcriptomic, proteomic, and metabolomic data, with biochemical networks. The networks specify the relationships between the entities (transcripts, proteins, metabolites) described by the "omics" data and therefore serve as a unifying framework for the analysis. exploRase delegates to the interactive graphics platform GGobi for the display of the experimental data in scatterplots, parallel coordinate plots, barcharts, and more. The plots are interlinked so that brushing an entity in one plot will result in its being brushed in the others. The GGobi plots are linked to a network display, so that corresponding node glyphs in the network are also brushed. exploRase provides a graphical user interface (GUI) with tables containing entity metadata fields, such as biological function. The tables have a color column that is synchronized with the brushing of the GGobi plots and the network view. We demonstrate the usefulness of exploRase by analyzing a transcriptomic dataset that compares a biotin-deficient Arabidopsis mutant with the wildtype. The next steps in development include implicitly linking views across datasets via network relationships and integrating exploRase with more diverse view types

关键词： Data analysis Systems biology Displays Graphical user interfaces Software tools Proteomics Metabolomics Proteins Graphics Scattering

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MUSA - a prototype for multiple-step aggregation visualization

MUSA - a prototype for multiple-step aggregation visualizati...

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international conference on coordinated and multiple views in exploratory visualization

作者： Tao Ni Department of Computer Science Center for Human-Computer Interaction Virginia Polytechnic Institute and State University USA

It is a common task when analyzing a large dataset (e.g., census database) to create some kind of overview of the original dataset, which is small enough to be easily manipulated, while remains the key characteristics of the data. Many aggregation techniques have been proposed to help users better understand the dataset and find desired information in it. However, the user can easily get lost after several aggregation operations, since there is rarely mechanism facilitating the user to remember what he or she has done in previous steps. In this paper, we present a prototype, namely MUSA, for multiple-step aggregation visualization. We aimed at designing a tool not only to help users obtain various levels of overviews to narrow their selections, but also to effectively visualize the aggregation processes to enhance the context awareness. We also conducted an informal user study to evaluate the tool.

关键词： Prototypes Data analysis Context awareness Pattern analysis Data visualization Aggregates Computer science Visual databases Displays Relational databases

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multiple views to support engineering change management for complex products

Multiple views to support engineering change management for ...

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international conference on coordinated and multiple views in exploratory visualization

作者： R. Keller C.M. Eckert P.J. Clarkson Engineering Design Centre University of Cambridge USA

Unforeseen change propagation can have a major impact on products and design processes and cause project delays and excessive costs. However, current change management depends heavily on individual designers' typically limited product overview. For complex products, this approach is error-prone because the amount of data that is necessary to properly assess the risk of changes is too large. The information has to be broken down into smaller chunks so that it is easier to cope with. On the other hand, an overview over the entire product must be provided in order to be able to predict changes resulting from changes in other components. In this paper, we discuss the CPM (change prediction method) tool that incorporates a multiple view strategy to visualise complex change data and allows designers to run what-if scenarios in order to assess the implications of changing components in a complex product during the design process.

关键词： Engineering management Process design Product design Helicopters Design engineering Costs Data visualization Software tools Space exploration Engines

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Learning on Health Fairness and Environmental Justice via Interactive visualization

Learning on Health Fairness and Environmental Justice via In...

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2022 IEEE international conference on Big Data, Big Data 2022

作者： Nayeem, Abdullah-Al-Raihan Segovia-Dominguez, Ignacio Lee, Huikyo Han, Dongyun Chen, Yuzhou Zhen, Zhiwei Gel, Yulia Cho, Isaac University of North Carolina at Charlotte Department of Computer Science Charlotte United States California Institute of Technology Jet Propulsion Laboratory Pasadena United States The University of Texas at Dallas Department of Mathematical Sciences Dallas United States Utah State University Department of Computer Science Logan United States Temple University Department of Computer and Information Sciences Philadelphia United States

ISBN: (纸本)9781665480451

This paper introduces an interactive visualization interface with a machine learning consensus analysis that enables the researchers to explore the impact of atmospheric and socioeconomic factors on COVID-19 clinical severity by employing multiple Recurrent Graph Neural Networks. We designed and implemented a visualization interface that leverages coordinated multi-views to support exploratory and predictive analysis of hospitalizations and other socio-geographic variables at multiple dimensions, simultaneously. By harnessing the strength of geometric deep learning, we build a consensus machine learning model to include knowledge from county-level records and investigate the complex interrelationships between global infectious disease, environment, and social justice. Additionally, we make use of unique NASA satellite-based observations which are not broadly used in the context of climate justice applications. Our current interactive interface focus on three US states (California, Pennsylvania, and Texas) to demonstrate its scientific value and presented three case studies to make qualitative evaluations. © 2022 IEEE.

关键词： Coronavirus

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A multiple view approach to support common ground in distributed and synchronous geo-collaboration

A multiple view approach to support common ground in distrib...

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international conference on coordinated and multiple views in exploratory visualization

作者： G. Convertino C.H. Ganoe W.A. Schafer B. Yost J.M. Carroll School of IST Pennslyvania State University University Park PA USA Department of Computer Science Virginia Polytechnic Institute and State University Blacksburg VA USA

In this paper we investigate strategies to support knowledge sharing in distributed, synchronous collaboration. Our goal is to propose, justify, and assess a multiple view approach to support common ground in geo-collaboration within multi-role teams. We argue that a collaborative workspace, which includes multiple role-specific views coordinated with a team view, affords a clear separation between role-specific and shared data, enables the team to filter out role-specific details and share strategic knowledge, and allows serendipitous learning about knowledge and expertise within the team. We discuss some key issues that need to be addressed when designing multiple views as a collaborative visualization. We illustrate the design features of a geo-collaborative prototype that address these issues in the context of two collaborative scenarios. We finally describe a laboratory method for investigating how multi-role teams establish common ground while the amount of prior shared knowledge and the type of visualization are experimentally manipulated.

关键词： Ground support Collaborative work Collaboration Costs Knowledge management Computer science Filters Data visualization Prototypes Laboratories

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A collaborative multi-view virtual environment for molecular visualization and modeling

A collaborative multi-view virtual environment for molecular...

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international conference on coordinated and multiple views in exploratory visualization

作者： J.W. Chastine Ying Zhu J.C. Brooks G.S. Owen R.W. Harrison I.T. Weber Department of Computer Science Georgia State University USA Department of Biology Georgia State University USA

Molecular modeling has been a long-standing research area for biologists. However, the existing molecular modeling software lacks strong support for collaborative research. In this paper, we describe our effort to develop a collaborative multiview virtual environment for molecular visualization and modeling. In our virtual environment, the users are able to visualize large molecular structures in real-time, create their own view, or share their view with others in the system. The system allows for individual or coordinated collaborative manipulation of the virtual molecular model. Our virtual environment is integrated with a molecular dynamics simulator, and therefore our system is not merely a visualization tool, but an environment where biologists can collaboratively construct their models and test their hypotheses.

关键词： Collaboration Virtual environment visualization Biological system modeling Collaborative software Cancer Biology Real time systems Collaborative work Computer science

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