This paper presents a visual information exploration tool called INSPECT. INSPECT provides geospatial information analysts with an effective way to visually filter multidimensional data and explore the underlying info...
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ISBN:
(纸本)0819448095
This paper presents a visual information exploration tool called INSPECT. INSPECT provides geospatial information analysts with an effective way to visually filter multidimensional data and explore the underlying information contained within it. In geospatial intelligence information analyses, it is necessary to query, visualize and understand the data combined with location information. These operations are not simple since they include complex database queries of both spatial and non-spatial data. Moreover, analysts need to repeatedly query and visualize data until they reach a desirable conclusion. Using INSPECT, analysts are able to experimentally query the database avoiding complex database schema and visualize the results in geospatial context with minimal effort. The tools available with INSPECT include see-through lens visualization, relationship visualization, time varying analysis, saved lens-filter sessions, a data reachback capability, and iterative visualexploration.
Multiscale visualizations are typically used to analyze multiscale processes and data in various application domains, such as the visualexploration of hierarchical genome structures in molecular biology. However, cre...
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Multiscale visualizations are typically used to analyze multiscale processes and data in various application domains, such as the visualexploration of hierarchical genome structures in molecular biology. However, creating such multiscale visualizations remains challenging due to the plethora of existing work and the expression ambiguity in visualization research. Up to today, there has been little work to compare and categorize multiscale visualizations to understand their design practices. In this article, we present a structured literature analysis to provide an overview of common design practices in multiscale visualization research. We systematically reviewed and categorized 122 published journal or conference articles between 1995 and 2020. We organized the reviewed articles in a taxonomy that reveals common design factors. Researchers and practitioners can use our taxonomy to explore existing work to create new multiscale navigation and visualization techniques. Based on the reviewed articles, we examine research trends and highlight open research challenges.
Social media data with geotags can be used to track people's movements in their daily lives. By providing both rich text and movement information, visualanalysis on social media data can be both interesting and c...
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Social media data with geotags can be used to track people's movements in their daily lives. By providing both rich text and movement information, visualanalysis on social media data can be both interesting and challenging. In contrast to traditional movement data, the sparseness and irregularity of social media data increase the difficulty of extracting movement patterns. To facilitate the understanding of people's movements, we present an interactive visual analytics system to support the exploration of sparsely sampled trajectory data from social media. We propose a heuristic model to reduce the uncertainty caused by the nature of social media data. In the proposed system, users can filter and select reliable data from each derived movement category, based on the guidance of uncertainty model and interactive selection tools. By iteratively analyzing filtered movements, users can explore the semantics of movements, including the transportation methods, frequent visiting sequences and keyword descriptions. We provide two cases to demonstrate how our system can help users to explore the movement patterns.
We present a visualexploration system supporting protein analysis when using gel-free data acquisition methods. The data to be analyzed is obtained by coupling liquid chromatography (LC) with mass spectrometry ( MS)....
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We present a visualexploration system supporting protein analysis when using gel-free data acquisition methods. The data to be analyzed is obtained by coupling liquid chromatography (LC) with mass spectrometry ( MS). LC-MS data have the properties of being nonequidistantly distributed in the time dimension ( measured by LC) and being scattered in the mass-to-charge ratio dimension ( measured by MS). We describe a hierarchical data representation and visualization method for large LC-MS data. Based on this visualization, we have developed a tool that supports various dataanalysis steps. Our visual tool provides a global understanding of the data, intuitive detection and classification of experimental errors, and extensions to LC-MS/MS, LC/LC-MS, and LC/LC-MS/MS dataanalysis. Due to the presence of randomly occurring rare isotopes within the same protein molecule, several intensity peaks may be detected that all refer to the same peptide. We have developed methods to unite such intensity peaks. This deisotoping step is visually documented by our system, such that misclassification can be detected intuitively. For differential protein expression analysis, we compute and visualize the differences in protein amounts between experiments. In order to compute the differential expression, the experimental data need to be registered. For registration, we perform a nonrigid warping step based on landmarks. The landmarks can be assigned automatically using protein identification methods. We evaluate our methods by comparing protein analysis with and without our interactive visualization-based exploration tool.
The article examines research methods for the evaluation of pragmatic casual information visualizations (PCIv). Casual information visualization (Infovis) is defined by researcher Zachary Pousman as having briefly but...
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The article examines research methods for the evaluation of pragmatic casual information visualizations (PCIv). Casual information visualization (Infovis) is defined by researcher Zachary Pousman as having briefly but frequently used systems, in which the data is of personal importance and users are not guided by financial incentives, formal tasks, or a job description. The subsection of casual Infovis tested is casual systems designed for dataanalysis and exploration. The differences between traditional and casual Infovis methodologies are explored.
Aiming at the actual needs of efficient and convenient visualanalysis of near-Earth space explorationdata, this paper studies the functional realization mode, data flow and interactive method, analyzes the functiona...
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Aiming at the actual needs of efficient and convenient visualanalysis of near-Earth space explorationdata, this paper studies the functional realization mode, data flow and interactive method, analyzes the functional framework and data flow of the interactive visualization system of near-Earth space explorationdata in detail, designs a multi-level, loosely coupled and easily extensible system architecture, and focuses on solving the logic model design, the fusion rendering of the multivariable data, the shadow calculation, the data clustering analysis, and other key technologies. The application of the system has realized the interactive and visualanalysis of the massive and multi-source near-Earth space explorationdata, and provided convenient dataanalysis service for the vast number of scientific research and application users, which helps to better play the potential value of near-Earth space explorationdata.
Results generated by simulation of computer systems are often presented as a multi-dimensional data set, where the number of dimensions may be greater than 4 if sufficient system parameters are modelled. This paper de...
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ISBN:
(纸本)0819427381
Results generated by simulation of computer systems are often presented as a multi-dimensional data set, where the number of dimensions may be greater than 4 if sufficient system parameters are modelled. This paper describes a visualization system intended to assist in understanding the relationship between, and effect upon system behaviour of, the different values of the system parameters. The system is applied to data that cannot be represented using a mesh or isosurface representation, and in general can only be represented as a cloud of points. The use of stereoscopic rendering and rapid interaction with the data are compared with regard to their value in providing insight into the nature of the data. A number of techniques are implemented for displaying projections of the data set with up to 7 dimensions, and for allowing intuitive manipulation of the remaining dimensions. In this way the effect of changes in one variable in the presence of a number of others can be explored. The use of these techniques, when applied to data from computer system simulation, results in an intuitive understanding of the effects of the system parameters on system behaviour.
exvis is a software tool created to support interactive display and analysis of data collected during wind tunnel experiments. It is a result of a continuing project to explore the uses of information technology in im...
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ISBN:
(纸本)0819427381
exvis is a software tool created to support interactive display and analysis of data collected during wind tunnel experiments. It is a result of a continuing project to explore the uses of information technology in improving the effectiveness of aeronautical design professionals. The dataanalysis goals are accomplished by allowing aerodynamicists to display and query data collected by new data acquisition systems and to create traditional wind tunnel plots from this data by interactively interrogating these images. exvis was built as a collection of distinct modules to allow for rapid prototyping, to foster evolution of capabilities, and to facilitate object reuse within other applications being developed. It was implemented using C++ and Open Inventor, commercially available object-oriented tools. The initial version was composed of three main classes. Two of these modules are autonomous viewer objects intended to display the test images (Imageviewer) and the plots (Graphviewer). The third main class is the Application User Interface (AUI) which manages the passing of data and events between the viewers, as well as providing a user interface to certain features. User feedback was obtained on a regular basis, which allowed for quick revision cycles and appropriately enhanced feature sets. During the development process additional classes were added, including a color map editor and a data set manager. The Imageviewer module was substantially rewritten to add features and to use the data set manager. The use of an object-oriented design was successful in allowing rapid prototyping and easy feature addition.
With the recent advances in the area of WebGIS and Spatial OLAP, new approaches include geographical display and navigation during the explorative analysis of multidimensional data. Such geographical displays can be e...
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ISBN:
(纸本)9781424433636
With the recent advances in the area of WebGIS and Spatial OLAP, new approaches include geographical display and navigation during the explorative analysis of multidimensional data. Such geographical displays can be enriched with visual diagrams for effective dataexploration for decision-making. Within this context, we developed a web tool which provides visual interaction with geo-referenced multidimensional data. The implementation of such tool is based on a new approach that puts together some existing techniques in the literature for dataexploration and optimization. As a consequence, the tool enables the end-user to remotely create and explore several interactive visual reports of summarized data almost instantaneously. In this paper, we introduce this integrated approach and show its use for interactive web exploration of spatial and historical aggregations from data marts.
The interoperability of disparate data types and sources has been a long standing problem and a hindering factor for the efficacy and efficiency in visualexploration applications. In this paper, we present a solution...
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ISBN:
(纸本)9781605580111
The interoperability of disparate data types and sources has been a long standing problem and a hindering factor for the efficacy and efficiency in visualexploration applications. In this paper, we present a solution, called LivOlay, which enables the rapid visual overlay of live data rendered in different applications. Our tool addresses datasets in which visual registration of the information is necessary in order to allow for thorough understanding and visualanalysis. We also discuss initial evaluation and user feedback of LivOlay.
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