Large, heterogeneous volumes of simulation data are calculated and stored in many disciplines, e.g. in climate and climate impact research. To gain insight, current climate analysis applies statistical methods and mod...
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ISBN:
(纸本)9781424413058
Large, heterogeneous volumes of simulation data are calculated and stored in many disciplines, e.g. in climate and climate impact research. To gain insight, current climate analysis applies statistical methods and model sensitivity analyzes in combination with standard visualization techniques. However, there are some obstacles for researchers in applying the full functionality of sophisticated visualization, exploiting the available interaction and visualization functionality in order to go beyond data presentation tasks. In particular, there is a gap between available and actually applied multi-variate visualization techniques. Furthermore, visual data comparison of simulation (and measured) data is still a challenging task. Consequently, this paper introduces a library of visualization techniques, tailored to support exploration and evaluation of climate simulation data. These techniques are integrated into the easy-to-use visualization framework SimEnvVis - designed as a front-end user interface to a simulation environment - which provides a high level of user support generating visual representations.
This paper describes a data management system that serves leaders and members of scholarly units (e.g., research groups, laboratories or centers) to organize, store, and access information relevant to their work and t...
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ISBN:
(纸本)9780769529004
This paper describes a data management system that serves leaders and members of scholarly units (e.g., research groups, laboratories or centers) to organize, store, and access information relevant to their work and to the operation of their unit. In particular, we discuss the representation of major data types such as people, projects, teaching, publications, presentations, calls & events, datasets, software, hardware, and funding as well as their interlinkages. Based on this representation, different analyses and visualizations become possible. Each visualization is presented in detail and its usage and relevance for the management and presentation of a unit's operation is discussed We conclude with an outlook and discussion.
Retail space management is one of the more crucial challenges faced by retailers today with an ever ever-expanding volume of data to which they must refer when making decisions. Problems have emerged that are intracta...
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ISBN:
(纸本)9780769529004
Retail space management is one of the more crucial challenges faced by retailers today with an ever ever-expanding volume of data to which they must refer when making decisions. Problems have emerged that are intractable using traditional means but for which interactive information visualization shows much promise. These problems or tasks are exploratory in nature and use temporal multivariate data. Department stores must maximize and optimize return on allocated retail space. Although product sales are readily available, the missing link for most retailers is a precise understanding of each store's layout in relation to its capacity and performance. This paper introduces a novel approach Visual Space Management (VSM) demonstrated with a multiple-linked view application (VisMT) that explores retail data related to space performance. VisMT integrates familiar information visualization representations and a 3D interactive layout of store floor plans with retail data sources. Parallel coordinates plot serves as a multivariate visual control panel in the coordinated system. Seasonally retail dataanalysis is performed simultaneously in linked views through time. Visual inquiry methods are supported for conditioned temporal multivariate data.
We present an interactive visualization method for the multivariate analysis of large and complex datasets, based on the layout of Karnaugh-Veitch-diagrams. Working on data categories, we additionally provide an inter...
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ISBN:
(纸本)9780769529004
We present an interactive visualization method for the multivariate analysis of large and complex datasets, based on the layout of Karnaugh-Veitch-diagrams. Working on data categories, we additionally provide an interactive partitioning of value ranges of ordinal types. Multivariate dependencies manifest on the map in characteristic color patterns. These patterns are representations of subsets of the data or attributes which embody significant information. While the task of the user is to identify visual patterns of particular interest to him by clicking on the map, the software identifies a minimal representation of the corresponding subset and gives a visual feedback. Hence, user and machine cooperate on the basis of a strong visual coupling in short iterative cycles. During this process the trade-off between the accuracy and simplicity of a representation, which is crucial for any type of the building of analytical models, can be found in an effective way.
Different visual representations of a tree can provide different views of the same data, leading the viewer to obtain different information, and gain different knowledge. Any visual representation of a tree, therefore...
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ISBN:
(纸本)9780819466082
Different visual representations of a tree can provide different views of the same data, leading the viewer to obtain different information, and gain different knowledge. Any visual representation of a tree, therefore, may potentially obscure some important aspects of the data, or sometimes even mislead the user. We create Tree-Panels, a tree visualization system that provides four simultaneous visualizations of a tree. Our user study shows that different tree representations used in Tree-Panels can uncover different and complementary information about the data.
This paper presents a novel integrative information visualization framework for cross-subject neuroimaging dataanalysis. The framework can integrate multimodal information captured by different imaging modalities and...
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ISBN:
(纸本)9780769530093
This paper presents a novel integrative information visualization framework for cross-subject neuroimaging dataanalysis. The framework can integrate multimodal information captured by different imaging modalities and population-based statistical information presented by different subjects. In this framework, accurate registration of cortical structures is the foundation for the information integration across population. We present a non-rigid intersubject brain surface registration method using conformal structure and spherical thin-plate splines. Spherical thin-plate splines are designed to explicitly match prominent homologous landmarks, and meanwhile, interpolate a global deformation field on the spherical domain, registering brain surfaces in a transformed space. Subsequently, an approach for the integrative information fusion and visualization is presented to handle multimodality neuroimaging data. The entire framework demonstrates its usefulness in multimodality neuroimaging dataanalysis across subjects.
Genomics is an important emerging scientific field that relies on meaningful datavisualization as a key step in analysis. Specifically, most investigation of gene expression microarray data is performed using visuali...
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ISBN:
(纸本)9780769529004
Genomics is an important emerging scientific field that relies on meaningful datavisualization as a key step in analysis. Specifically, most investigation of gene expression microarray data is performed using visualization techniques. However, as microarrays become more ubiquitous, researchers must analyze their own data within the context of previously published work in order to gain a more complete understanding. No current method for microarray visualization and analysis enables biology researchers to observe the greater context of data that surrounds their own results, which severely limits the ability of researchers draw novel conclusions. Here we present a system, called HIDRA that visually integrates the simultaneous display of multiple microarray datasets to identify important parallels and dissimilarities. We demonstrate the power of our approach through examples of real-world biological insights that can be observed using HIDRA that are not apparent using other techniques.
The paper describes several treemap techniques used to visualize among other aspects the productivity of rule sets in deriving non-standard spellings in old German texts. The treemap visualization will help finding ty...
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ISBN:
(纸本)9780819466082
The paper describes several treemap techniques used to visualize among other aspects the productivity of rule sets in deriving non-standard spellings in old German texts. The treemap visualization will help finding typical rule sequences depending on the localization of the spellings and their epoch. First evaluation results and user comments are displayed.
visualization systems have evolved into live-design environments in which users explore information by constructing coordinated multiview visualizations rapidly and interactively. Although these systems provide built-...
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ISBN:
(纸本)9780819466082
visualization systems have evolved into live-design environments in which users explore information by constructing coordinated multiview visualizations rapidly and interactively. Although these systems provide built-in support for well-known coordinations, they do not allow invention of novel coordinations or customization of existing ones. This paper presents a categorization of 29 coordination patterns that have proven to be broadly useful for visual dataanalysis. By coupling coordination with visual abstraction, it has been possible to realize 27 of these patterns in Improvise, demonstrated here with five example visualizations.
This paper reports a bibliometric analysis of evolving co-author networks. Using 5,009 articles covering the years 1993 to 2005 from Transactions D. (Information Systems) of the Institute of Electronics Information an...
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ISBN:
(纸本)9780769529004
This paper reports a bibliometric analysis of evolving co-author networks. Using 5,009 articles covering the years 1993 to 2005 from Transactions D. (Information Systems) of the Institute of Electronics Information and Communication. Engineers (IEICE), we attempt to compare the network characteristics for each year the co-author network characteristics for the entire time span, and the four major components of the entire data set. Finally, we analyze each of these in contrast to extant co-authorship network data and find that the pattern of co-authorship within Information Systems does not change significantly over this time period.
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