{"title":"Visualization of multidimensional time","authors":"Luther A. Tychonievich, Robert P. Burton","doi":"10.1117/12.901551","DOIUrl":"https://doi.org/10.1117/12.901551","url":null,"abstract":"Time generally is assumed to be a scalar: it can be sorted, is unidirectional, and has only a single dimension. In this work \u0000we demonstrate that vector-valued multidimensional time can be defined meaningfully, simulated efficiently, and visualized \u0000in an interactive manner. We present two particular simulations, providing a first look at what hypertime may be \"like\" \u0000from both a physical and a navigational perspective. Although similar in many ways to our experience, mT phenomena \u0000also differ from 1T phenomena on a fundamental level. Our visualization framework motivates observations of some of \u0000these differences and helps us identify a variety of open tasks that will further our understanding of the characteristics of \u0000time, whatever its dimensionality. Together, these results form a basis from which arbitrary space-time dimensionalities \u0000can be understood.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"20 1","pages":"829410"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84979139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Steed, Christopher T. Symons, Frank DeNap, T. Potok
{"title":"Guided text analysis using adaptive visual analytics","authors":"C. Steed, Christopher T. Symons, Frank DeNap, T. Potok","doi":"10.1117/12.904904","DOIUrl":"https://doi.org/10.1117/12.904904","url":null,"abstract":"This paper demonstrates the promise of augmenting interactive visualizations with semi-supervised machine \u0000learning techniques to improve the discovery of significant associations and insight in the search and analysis of \u0000textual information. More specifically, we have developed a system-called Gryffin-that hosts a unique collection \u0000of techniques that facilitate individualized investigative search pertaining to an ever-changing set of analytical \u0000questions over an indexed collection of open-source publications related to national infrastructure. The Gryffin \u0000client hosts dynamic displays of the search results via focus+context record listings, temporal timelines, term-frequency \u0000views, and multiple coordinated views. Furthermore, as the analyst interacts with the display, the \u0000interactions are recorded and used to label the search records. These labeled records are then used to drive \u0000semi-supervised machine learning algorithms that re-rank the unlabeled search records such that potentially \u0000relevant records are moved to the top of the record listing. Gryffin is described in the context of the daily \u0000tasks encountered at the Department of Homeland Security's Fusion Centers, with whom we are collaborating \u0000in its development. The resulting system is capable of addressing the analysts information overload that can be \u0000directly attributed to the deluge of information that must be addressed in search and investigative analysis of \u0000textual information.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"459 1","pages":"829408"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90308762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Geoffrey M. Draper, Matthew G. Styles, R. Riesenfeld
{"title":"Radial visualizations for comparative data analysis","authors":"Geoffrey M. Draper, Matthew G. Styles, R. Riesenfeld","doi":"10.1117/12.912450","DOIUrl":"https://doi.org/10.1117/12.912450","url":null,"abstract":"SQiRL is a novel visualization system for querying and visualizing large multivariate data sets. Although initially \u0000designed for novice users, recent extensions to SQiRL facilitate more advanced analysis without sacrificing the \u0000simplicity that makes this visualization appealing to beginners. The default view provides a simple-to-learn \u0000interface for query evaluation. Intermediate users are provided a straightforward method for comparing the \u0000results of two queries. More advanced users can make use of a \"radial crosstab,\" a new interactive visualization \u0000technique that melds the expressive power of traditional crosstabulation with a drag-and-drop canvas.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"15 1","pages":"82940Y"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74556269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luiz F. Scheidegger, H. Vo, J. Krüger, Cláudio T. Silva, J. Comba
{"title":"Parallel large data visualization with display walls","authors":"Luiz F. Scheidegger, H. Vo, J. Krüger, Cláudio T. Silva, J. Comba","doi":"10.1117/12.912032","DOIUrl":"https://doi.org/10.1117/12.912032","url":null,"abstract":"While there exist popular software tools that leverage the power of arrays of tiled high resolution displays, they \u0000usually require either the use of a particular API or significant programming effort to be properly configured. \u0000We present PVW (Parallel Visualization using display Walls), a framework that uses display walls for scientific \u0000visualization, requiring minimum labor in setup, programming and configuration. PVW works as a plug-in to \u0000pipeline-based visualization software, and allows users to migrate existing visualizations designed for a single-workstation, \u0000single-display setup to a large tiled display running on a distributed machine. Our framework is \u0000also extensible, allowing different APIs and algorithms to be made display wall-aware with minimum effort.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"13 1","pages":"82940C"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81903034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interactive analysis of situational awareness metrics","authors":"Derek Overby, J. Wall, J. Keyser","doi":"10.1117/12.905187","DOIUrl":"https://doi.org/10.1117/12.905187","url":null,"abstract":"Digital systems are employed to maintain situational awareness of people in various contexts including emergency response, \u0000disaster relief, and military operations. Because these systems are often operated in wireless environments and are \u0000used to support real-time decision making, the accuracy of the SA data provided is important to measure and evaluate in the \u0000development of new systems. Our work has been conducted in conjunction with analysts in the evaluation and performance \u0000comparison of different systems designed to provide a high degree of situational awareness in military operations. To this \u0000end, we defined temporal and spatial metrics for measuring the accuracy of the SA data provided by each system. In this \u0000paper we discuss the proposed temporal and spatial metrics for SA data and show how we provided these metrics in a \u0000linked coordinated multiple view environment that enabled the analysts we worked with to effectively perform several critical \u0000analysis tasks. The temporal metric is designed to help determine when network performance has a significant effect \u0000on SA data, and therefore identify specific time periods in which individuals were provided inaccurate position data for \u0000their peers. Temporal context can be used to determine the local or global nature of any SA data inaccuracy, and the spatial \u0000metric can then be used to identify geographic effects on network performance of the wireless system. We discuss the \u0000interactive software implementation of our metrics and show how this analysis capability enabled the analysts to evaluate \u0000the observed effects of network latency and system performance on SA data during an exercise.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"58 1","pages":"829406"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81252821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ilir Jusufi, A. Kerren, Vladyslav Aleksakhin, F. Schreiber
{"title":"Visualization of mappings between the gene ontology and cluster trees","authors":"Ilir Jusufi, A. Kerren, Vladyslav Aleksakhin, F. Schreiber","doi":"10.1117/12.906700","DOIUrl":"https://doi.org/10.1117/12.906700","url":null,"abstract":"Ontologies and hierarchical clustering are both important tools in biology and medicine to study high-throughput data \u0000such as transcriptomics and metabolomics data. Enrichment of ontology terms in the data is used to identify statistically \u0000overrepresented ontology terms, giving insight into relevant biological processes or functional modules. Hierarchical \u0000clustering is a standard method to analyze and visualize data to find relatively homogeneous clusters of experimental data \u0000points. Both methods support the analysis of the same data set, but are usually considered independently. However, often \u0000a combined view is desired: visualizing a large data set in the context of an ontology under consideration of a clustering of \u0000the data. This paper proposes a new visualization method for this task.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"36 12","pages":"82940N"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91495733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of open-source visual analytics toolkits","authors":"J. Harger, Patricia J. Crossno","doi":"10.1117/12.911901","DOIUrl":"https://doi.org/10.1117/12.911901","url":null,"abstract":"We present the results of the first stage of a two-stage evaluation of open source visual analytics packages. This stage is a broad feature comparison over a range of open source toolkits. Although we had originally intended to restrict ourselves to comparing visual analytics toolkits, we quickly found that very few were available. So we expanded our study to include information visualization, graph analysis, and statistical packages. We examine three aspects of each toolkit: visualization functions, analysis capabilities, and development environments. With respect to development environments, we look at platforms, language bindings, multi-threading/parallelism, user interface frameworks, ease of installation, documentation, and whether the package is still being actively developed.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"16 1","pages":"82940E"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87571490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Florian Mansmann, Milos Krstajic, Fabian Fischer, E. Bertini
{"title":"StreamSqueeze: a dynamic stream visualization for monitoring of event data","authors":"Florian Mansmann, Milos Krstajic, Fabian Fischer, E. Bertini","doi":"10.1117/12.912372","DOIUrl":"https://doi.org/10.1117/12.912372","url":null,"abstract":"While in clear-cut situations automated analytical solution for data streams are already in place, only few visual approaches \u0000have been proposed in the literature for exploratory analysis tasks on dynamic information. However, due to the competitive \u0000or security-related advantages that real-time information gives in domains such as finance, business or networking, we are \u0000convinced that there is a need for exploratory visualization tools for data streams. Under the conditions that new events have \u0000higher relevance and that smooth transitions enable traceability of items, we propose a novel dynamic stream visualization \u0000called StreamSqueeze. In this technique the degree of interest of recent items is expressed through an increase in size \u0000and thus recent events can be shown with more details. The technique has two main benefits: First, the layout algorithm \u0000arranges items in several lists of various sizes and optimizes the positions within each list so that the transition of an item \u0000from one list to the other triggers least visual changes. Second, the animation scheme ensures that for 50 percent of the \u0000time an item has a static screen position where reading is most effective and then continuously shrinks and moves to the \u0000its next static position in the subsequent list. To demonstrate the capability of our technique, we apply it to large and \u0000high-frequency news and syslog streams and show how it maintains optimal stability of the layout under the conditions \u0000given above.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"38 1","pages":"829404"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73405790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David Feng, Lester Kwock, Yueh Lee, Russell M Taylor
{"title":"Linked Exploratory Visualizations for Uncertain MR Spectroscopy Data.","authors":"David Feng, Lester Kwock, Yueh Lee, Russell M Taylor","doi":"10.1117/12.839818","DOIUrl":"10.1117/12.839818","url":null,"abstract":"<p><p>We present a system for visualizing magnetic resonance spectroscopy (MRS) data sets. Using MRS, radiologists generate multiple 3D scalar fields of metabolite concentrations within the brain and compare them to anatomical magnetic resonance imaging. By understanding the relationship between metabolic makeup and anatomical structure, radiologists hope to better diagnose and treat tumors and lesions. Our system consists of three linked visualizations: a spatial glyph-based technique we call Scaled Data-Driven Spheres, a parallel coordinates visualization augmented to incorporate uncertainty in the data, and a slice plane for accurate data value extraction. The parallel coordinates visualization uses specialized brush interactions designed to help users identify nontrivial linear relationships between scalar fields. We describe two novel contributions to parallel coordinates visualizations: linear function brushing and new axis construction. Users have discovered significant relationships among metabolites and anatomy by linking interactions between the three visualizations.</p>","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"7530 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2010-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2997734/pdf/nihms154699.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29530974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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