This paper introduces a set of visualization tools that aim to support social navigation, the evaluation and optimization of three-dimensional virtual worlds and the study of their evolving communities. Previous work ...
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ISBN:
(纸本)0819451983
This paper introduces a set of visualization tools that aim to support social navigation, the evaluation and optimization of three-dimensional virtual worlds and the study of their evolving communities. Previous work (Bomer Lin, 2001;Bomer et al., 2002) demonstrated how this toolset can be used to analyze data acquired during a information treasure hunt. This paper extends and applies this tool set to visualize an entire virtual conference on the topic Virtual Learning in Three Dimensions (VLearn3D)) that was held in December 2002.
Birds are unrivaled windows into biotic processes at all levels and are proven indicators of ecological well-being. Understanding the determinants of species distributions and their dynamics is an important aspect of ...
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Birds are unrivaled windows into biotic processes at all levels and are proven indicators of ecological well-being. Understanding the determinants of species distributions and their dynamics is an important aspect of ecology and is critical for conservation and management. Through crowdsourcing, since 2002, the eBird project has been collecting bird observation records. These observations, together with local-scale environmental covariates such as climate, habitat, and vegetation phenology have been a valuable resource for a global community of educators, land managers, ornithologists, and conservation biologists. By associating environmental inputs with observed patterns of bird occurrence, predictive models have been developed that provide a statistical framework to harness available data for predicting species distributions and making inferences about species-habitat associations. Understanding these models, however, is challenging because they require scientists to quantify and compare multiscale spatial-temporal patterns. A large series of coordinated or sequential plots must be generated, individually programmed, and manually composed for analysis. This hampers the exploration and is a barrier to making the cross-species comparisons that are essential for coordinating conservation and extracting important ecological information. To address these limitations, as part of a collaboration among computer scientists, statisticians, biologists and ornithologists, we have developed BirdVis, an interactive visualization system that supports the analysis of spatio-temporal bird distribution models. BirdVis leverages visualization techniques and uses them in a novel way to better assist users in the exploration of interdependencies among model parameters. Furthermore, the system allows for comparative visualization through coordinated views, providing an intuitive interface to identify relevant correlations and patterns. We justify our design decisions and present case s
With the shift from production to information society, a parallel development has taken place in processing geo information. Today, the focus is often more on intelligent and complex use and analysis of existing data ...
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ISBN:
(纸本)0819444057
With the shift from production to information society, a parallel development has taken place in processing geo information. Today, the focus is often more on intelligent and complex use and analysis of existing data than on data acquisition. The tasks of users now are to find appropriate data, as well as appropriate analysis or mining methods, for their specific exploration goals. This paper first presents an integrated approach that uses metadata technology to guide users through data and method selection. Important prerequisites in the decision process are the user's correct understanding of geodata qualities and, to this end, the availability of metadata. Therefore, the core of the presented approach is then described in detail, i.e. metadatavisualization and generation. The visualization part aims to make the user aware of the goal-related geodata qualities. It consists of an automated semantic level-of-detail method, using abstraction hierarchies and linked visualization functions. The underlying metadata is provided via a repository-based generator, which creates descriptive metadata by analysis and interpretation of the original geodata. Finally, an outlook over the next steps in automated support for geodata mining is given.
We have created an application, called PRIMA (Patient Record Intelligent Monitoring and analysis), which can be used to visualize and understand patient record data. It was developed to better understand a large colle...
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ISBN:
(纸本)0780374983
We have created an application, called PRIMA (Patient Record Intelligent Monitoring and analysis), which can be used to visualize and understand patient record data. It was developed to better understand a large collection of patient records of bone marrow transplants at Hadassah Hospital in Jerusalem, Israel. It is based on an information visualization toolkit, Opal, which has been developed at the IBM T.J. Watson Research Center. Opal allows intelligent, interactive visualization of a wide variety of different types of data. The PRIMA application is generally applicable to a wide range of patient record data, as the underlying toolkit is flexible with regard to the form of the input data. This application is a good example of the usefulness of information visualization techniques in the bioinformatics domain, as these techniques have been developed specifically to deal with diverse sets of often unfamiliar data. We illustrate several unanticipated findings which resulted from the use of a flexible and interactive information visualization environment.
When very large datasets are visualized in a thinwire setting, where the bandwidth is both limited and unreliable, current techniques break down. This paper proposes the responsive visualization system as a solution. ...
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ISBN:
(纸本)0819444057
When very large datasets are visualized in a thinwire setting, where the bandwidth is both limited and unreliable, current techniques break down. This paper proposes the responsive visualization system as a solution. We describe the architecture of such a system, and algorithmic challenges to support it. We introduce a natural and scalable visualization interface called the zooming telescope. We apply our techniques to the visualization of the TIGER dataset, a geographic description of the United States. We describe a suite of automatic and semi-automatic tools for processing the TIGER dataset, including the construction of level-of-detail (LOD) hierarchies.
This paper describes BM3D: a method for the analysis of motion in time dependent volume data. From a sequence of volume data sets a sequence of vector data sets representing the movement of the data is computed. A blo...
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ISBN:
(纸本)0780374983
This paper describes BM3D: a method for the analysis of motion in time dependent volume data. From a sequence of volume data sets a sequence of vector data sets representing the movement of the data is computed. A block matching technique is used for the reconstruction of data movement. The derived vector field can be used for the visualization of time dependent volume data. The method is illustrated in two applications.
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