Relevant bibliographies by topics / Visualization Framework

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Visualization Framework'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Visualization Framework"

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Richards, Clive, and Yuri Engelhardt. "The DNA of information design for charts and diagrams." Information Design Journal 25, no. 3 (December 31, 2019): 277–92. http://dx.doi.org/10.1075/idj.25.3.05ric.

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Abstract A comprehensive framework is presented for analyzing and specifying an extensive range of visualizations, such as statistical charts, maps, family trees, Venn diagrams, flow charts, texts using indenting, technical drawings and scientific illustrations. This paper describes how the fundamental ‘DNA’ building blocks of visual encoding and composition can be combined into ‘visualization patterns’ that specify these and other types of visualizations. We offer different ways of specifying each visualization pattern, including through a DNA tree diagram and through a rigorously systematic natural language sentence. Using this framework, a design tool is proposed for exploring visualization design options.
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Wu, Jieting, Feiyu Zhu, Xin Liu, and Hongfeng Yu. "An Information-Theoretic Framework for Evaluating Edge Bundling Visualization." Entropy 20, no. 9 (August 21, 2018): 625. http://dx.doi.org/10.3390/e20090625.

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Edge bundling is a promising graph visualization approach to simplifying the visual result of a graph drawing. Plenty of edge bundling methods have been developed to generate diverse graph layouts. However, it is difficult to defend an edge bundling method with its resulting layout against other edge bundling methods as a clear theoretic evaluation framework is absent in the literature. In this paper, we propose an information-theoretic framework to evaluate the visual results of edge bundling techniques. We first illustrate the advantage of edge bundling visualizations for large graphs, and pinpoint the ambiguity resulting from drawing results. Second, we define and quantify the amount of information delivered by edge bundling visualization from the underlying network using information theory. Third, we propose a new algorithm to evaluate the resulting layouts of edge bundling using the amount of the mutual information between a raw network dataset and its edge bundling visualization. Comparison examples based on the proposed framework between different edge bundling techniques are presented.
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Yang, Hong, Yuzhong Shen, Mahmud Hasan, Daniel Perez, and John Shull. "Framework for Interactive M3 Visualization of Microscopic Traffic Simulation." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 44 (July 28, 2018): 62–71. http://dx.doi.org/10.1177/0361198118787088.

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Full comprehension of microscopic traffic simulation (MTS) models has necessitated the development of proper visualizations. Existing MTS models only provide limited capability of two- and/or three-dimensional displays that often restrict users’ viewpoint to a flat screen. Their downscaled scenes neither provide a realistic representation of the environment nor allow different users to simultaneously experience the simulation model from different perspectives. This largely prevents analysts from effectively demonstrating and disseminating their simulation results to various stakeholders of different background and knowledge. In light of these issues, this paper aims to develop a framework that enables a multi-user, multi-perspective, and multi-mode ( M3) visualization architecture for microscopic traffic simulation. The proposed framework is empowered by the latest advances in cloud computing and virtual reality (VR) to support interactive and immersive visualization for simulated traffic environments. A client-server architecture allows multiple users at distributed physical locations to view the same simulation from multiple perspectives simultaneously and supports a variety of virtual/augmented reality devices. A prototype of the proposed M3 visualization framework is implemented and demonstrated by simulating and visualizing a model of typical traffic operations in a high-density urban area. The promising capability of the M3 visualization framework is attested. Potential improvements over the present study to further excel current visualization framework are also discussed.
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S Sommer, Philipp. "The psyplot interactive visualization framework." Journal of Open Source Software 2, no. 16 (August 22, 2017): 363. http://dx.doi.org/10.21105/joss.00363.

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Yingcai Wu, Xiaotong Liu, Shixia Liu, and Kwan-Liu Ma. "ViSizer: A Visualization Resizing Framework." IEEE Transactions on Visualization and Computer Graphics 19, no. 2 (February 2013): 278–90. http://dx.doi.org/10.1109/tvcg.2012.114.

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Zhu, Xin-juan, Xue Wu, Xin Shi, and Bu-gao Xu. "Framework of personalized clothing visualization." International Journal of Clothing Science and Technology 29, no. 3 (June 5, 2017): 417–26. http://dx.doi.org/10.1108/ijcst-07-2016-0080.

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Purpose The Web 3D virtual display technology for personalized clothing based on Unity3D is studied in this paper. The framework of the technology is described. The development steps including personalized clothing design and modeling, interaction and virtual display technology based on Unity3D are given out. The purpose of this paper is to provide a feasible technical route and support for the virtual display for the customized products. Design/methodology/approach The paper opted for an exploratory study using the open-ended approach of grounded theory, including the Web 3D virtual display technology for personalized clothing based on Unity3D. Findings A feasible technical route for the virtual display of the customized products is provides in this paper. Originality/value This paper fulfills a software and has practical use.
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Patterson, Emily S., and Robert R. Hoffman. "Visualization framework of macrocognition functions." Cognition, Technology & Work 14, no. 3 (January 6, 2012): 221–27. http://dx.doi.org/10.1007/s10111-011-0208-1.

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Fiore, Stephen M., Samantha F. Warta, Andrew Best, Olivia Newton, and Joseph J. LaViola. "Developing A Theoretical Framework of Task Complexity for Research on Visualization in Support of Decision Making Under Uncertainty." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1193–97. http://dx.doi.org/10.1177/1541931213601781.

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This paper describes initial validation of a theoretical framework to support research on the visualization of uncertainty. Two experiments replicated and extended this framework, illustrating how the manipulation of task complexity produces differences in performance. Additionally, using a combinatory metric of workload and performance, this framework provides a new metric for assessing uncertainty visualization. We describe how this work acts as a theoretical scaffold for examining differing forms of visualizations of uncertainty by providing a means for systematic variations in task context.
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Roberts, Jonathan C., Panagiotis D. Ritsos, James R. Jackson, and Christopher Headleand. "The Explanatory Visualization Framework: An Active Learning Framework for Teaching Creative Computing Using Explanatory Visualizations." IEEE Transactions on Visualization and Computer Graphics 24, no. 1 (January 2018): 791–801. http://dx.doi.org/10.1109/tvcg.2017.2745878.

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Goudine, Alexei, Robert Newell, and Christopher Bone. "Seeing Climate Change: A Framework for Understanding Visualizations for Climate Adaptation." ISPRS International Journal of Geo-Information 9, no. 11 (October 29, 2020): 644. http://dx.doi.org/10.3390/ijgi9110644.

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Climate change has resulted in the need for adaptation tools to provide stakeholders with the ability to respond to a broad range of potential impacts. Geovisualizations serve as powerful engagement tools due to their capacity in communicating complex climate data to various audiences. Studies have also shown a preference towards conveying climate data through geo-visual representations, to quickly present ideas rooted in geographical challenges and solutions. However, a rapid pace of technological advancements has paved the way for an abundance of geovisualization products that have eclipsed the necessary theoretical inquiry and knowledge required to establish effective visualization principles. This study addresses this research gap through a two-step process of (1) conducting a thorough review of the geovisualization for climate change literature, and (2) creating a conceptual framework that classifies existing geovisualization products into themes relating to visualization features, audiences, and the intended outcome or purpose of the visualization medium. The result is the Climate Visualizations for Adaptation Products (CVAP) framework, a tool for researchers and practitioners to use as a decision support system to discern an appropriate type of geovisualization product to implement within a specific use case or audience. Visualizations with more interactivity were favoured among expert user groups, to act as tools for knowledge discovery. This is contrary to the visualizations intended for communicating a known message to a user group, as those products often had a low level of interactivity associated with their use.
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Dissertations / Theses on the topic "Visualization Framework"

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Jankun-Kelly, T. J. "Visualizing Visualization : a model and framework for visualization exploration /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2003. http://uclibs.org/PID/11984.

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Wang, Qin 1977. "Evolve : an extensible software visualization framework." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=79200.

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Existing visualization tools typically do not provide a simple mechanism for adding new visualization techniques, and are often coupled with inflexible data input mechanisms. This thesis presents EVolve, a flexible and extensible framework for visualizing program characteristics and behaviour. The framework is flexible in the sense that it can visualize many kinds of data, and it is extensible in the sense that it is quite straightforward to add new kinds of visualizations.
The overall architecture of the framework consists of the core EVolve platform that communicates with data sources via a well defined data protocol and which communicates with visualization methods via a visualization protocol.
Given a data source, an end user can use EVolve as a stand-alone tool by interactively creating, configuring and modifying one or more visualizations. A variety of visualizations are provided in the standard EVolve visualization library. EVolve can also be used to build custom visualizers by-implementing new data sources and/or new kinds of visualizations.
The thesis presents an overview of the framework, its data protocol and visualization protocol, and a detailed case study showing how to extend EVolve.
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Lin, Likuo 1979. "Visualization framework for software design analysis." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87270.

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Sousa, Roberto Nuno Silva. "Glaze visualization framework for mobile devices." Master's thesis, Universidade da Madeira, 2009. http://hdl.handle.net/10400.13/122.

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Yang, Jing. "A General Framework for Multi-Resolution Visualization." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-050505-113345/.

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Dissertation (Ph.D.) -- Worcester Polytechnic Institute.
Keywords: Multi-Dimensional Visualization; High-Dimensional Data Set; Information Visualization; Framework; Visualization; Multi-Resolution. Includes bibliographical references (p. 172-186).
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Bichler, Patrick. "Visualization framework for information graphs an incremental approach /." Zürich : Department of Computer Science, Data Research Group, Swiss Federal Institute of Technology (ETH) Zurich, 2002. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=28.

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Rössling, Guido. "Animal-Farm an extensible framework for algorithm visualization /." [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=964487799.

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Goldman, Daniel R. "A framework for video annotation, visualization, and interaction /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/6994.

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Braun, Henry. "Crowdvis: a framework for real time crowd visualization." Pontifícia Universidade Católica do Rio Grande do Sul, 2012. http://hdl.handle.net/10923/1690.

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Made available in DSpace on 2013-08-07T18:43:37Z (GMT). No. of bitstreams: 1 000444492-Texto+Completo-0.pdf: 5333393 bytes, checksum: ddb889b22392ca9620ce59bc91784589 (MD5) Previous issue date: 2012
Crowd visualizations are present mostly in digital games and computer animated movies, but they are also observed in simulations and virtual reality applications. In crowd simulations we should represent the behavior of agents given different scenarios, and also, such simulations can be provided by different software and tools. This document describes a framework for real time crowd visualization, which no programming knowledge and modeling skills are required from the users. Our main goal is to be able to visualize previously created crowd simulations in real time, combining rendering techniques and providing easy support for managing the scene and the virtual humans.
Visualizações de multidões estão presentes principalmente em jogos digitais e filmes de animação computadorizada. Essas visualizações também são observadas em simulações e aplicações de realidade virtual. Em modelos para simulações de multidões é preciso representar o comportamento dos agentes de acordo com os diferentes cenários, além disto, tais simulações podem ser originadas de diferentes software ou ferramentas. Esta dissertação apresenta um framework para visualização de multidões em tempo real, a qual não requer conhecimento de programação e modelagem. O principal objetivo é apresentar visualizações de simulações previamente criadas, combinando o uso de técnicas de rendering em tempo real, além de proporcionar ferramentas para gerenciar a cena e os humanos virtuais.
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McDonald, Christopher Ernest. "Framework for a visual energy use system." Thesis, [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1892.

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Books on the topic "Visualization Framework"

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Kapoor, Amit. What makes a data-story work?: A framework for effective visual data narratives. Ahmedabad: Indian Institute of Management, 2014.

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A framework for visualizing information. Dordrecht: Kluwer Academic, 2002.

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Chi, Ed H. A framework for visualizing information. Dordrecht: Kluwer Academic Publishers, 2002.

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Burkhard, Remo. Knowledge visualization: The use of complementary visual representations for the transfer of knowledge : a model, a framework, and four new approaches. S.l: s.n., 2005.

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A Collaborative Visualization Framework Using JINI Technology. Storming Media, 2002.

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A Framework for Effective Algorithm Visualization Using Animation- Embedded Hypermedia. Storming Media, 1999.

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Implementing an Information Retrieval and Visualization Framework for Heterogeneous Data Types. Storming Media, 2003.

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Garipzanov, Ildar. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198815013.003.0001.

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The first section discusses definitions of the graphic sign and its typologies, and provides an overview of relevant academic literature. The second section highlights major historiographic trends in the study of graphic signs in the humanities from the early twentieth century to the present day. The next section outlines the relation of graphic signs to a wider corpus of graphic non-figurative data in the late antique Mediterranean and early medieval Europe with reference to the overarching methodological framework of visual thinking and graphic visualization and the related concept of early graphicacy, focusing particularly on the latter’s general cognitive aspects and intrinsic connection to the late antique and early medieval cultural system of visual representation. The concluding section defines the book’s subject, namely graphic signs of authority, outlines their functional usage in early medieval political culture, and summarizes the content of the following chapters.
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Book chapters on the topic "Visualization Framework"

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Osland, Chris. "Framework." In Scientific Visualization, 15–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-76942-9_2.

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Chi, Ed H. "The Visualization Spreadsheet Illustrated." In A Framework for Visualizing Information, 65–97. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-0573-8_5.

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Hopkins, John F., and Paul A. Fishwick. "The rube Framework for Personalized 3-D Software Visualization." In Software Visualization, 368–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45875-1_29.

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Storey, Margaret-Anne. "Designing a Software Exploration Tool Using a Cognitive Framework." In Software Visualization, 113–47. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0457-3_5.

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Ligocki, Terry J., Brian Van Straalen, John M. Shalf, Gunther H. Weber, and Bernd Hamann. "A Framework for Visualizing Hierarchical Computations." In Mathematics and Visualization, 197–204. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55787-3_12.

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Engelhardt, Yuri, and Clive Richards. "The DNA Framework of Visualization." In Diagrammatic Representation and Inference, 534–38. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54249-8_51.

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Chi, Ed H. "Detailed Case Study: Web Analysis Visualization Spreadsheet." In A Framework for Visualizing Information, 99–108. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-0573-8_6.

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Brown, Ross, Simon Joslin, and Penny Drennan. "A Visualisation Framework for Collaborative VirtualEnvironment Usage Information." In Trends in Interactive Visualization, 201–21. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-269-2_9.

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Hontani, Hidekata, Kazunari Iwamoto, and Yoshitaka Masutani. "A Framework for ODF Inference by Using Fiber Tract Adaptive MPG Selection." In Mathematics and Visualization, 67–79. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02475-2_7.

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Kienel, Enrico, Marek Vančo, Guido Brunnett, Thomas Kowalski, Roland Clauß, and Wolfgang Knabe. "A Framework for the Visualization of Cross Sectional Data in Biomedical Research." In Mathematics and Visualization, 77–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-72630-2_5.

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Conference papers on the topic "Visualization Framework"

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Mishchenko, Oleg, Sundaresan Raman, and Roger Crawfis. "Distributed visualization framework architecture." In IS&T/SPIE Electronic Imaging, edited by Jinah Park, Ming C. Hao, Pak C. Wong, and Chaomei Chen. SPIE, 2010. http://dx.doi.org/10.1117/12.838702.

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Wilhelm, Andreas, Victor Savu, Efe Amadasun, Michael Gerndt, and Tobias Schuele. "A Visualization Framework for Parallelization." In 2016 IEEE Working Conference on Software Visualization (VISSOFT). IEEE, 2016. http://dx.doi.org/10.1109/vissoft.2016.35.

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Nadeem, Saad, and Arie Kaufman. "Visualization framework for colonoscopy videos." In SPIE Medical Imaging, edited by Robert J. Webster and Ziv R. Yaniv. SPIE, 2016. http://dx.doi.org/10.1117/12.2216963.

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Fang, Wenxuan, and Hongli Wang. "Animation framework using volume visualization." In Fourth ionternational conference On Virtual Reality and Its Applications in Industry, edited by Jizhou Sun and Zhigeng Pan. SPIE, 2004. http://dx.doi.org/10.1117/12.561186.

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Hoehne, Karl H., Andreas Pommert, Martin Riemer, Thomas Schiemann, Rainer Schubert, Ulf Tiede, and Werner Lierse. "Framework for the generation of 3-D anatomical atlases." In Visualization in Biomedical Computing, edited by Richard A. Robb. SPIE, 1992. http://dx.doi.org/10.1117/12.131104.

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Moon, So Young, Bo Kyung Park, and R. Young Chul Kim. "SW Visualization Framework for Safe Software." In 2016 International Conference on Platform Technology and Service (PlatCon). IEEE, 2016. http://dx.doi.org/10.1109/platcon.2016.7456829.

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Sunden, Erik, Peter Steneteg, Sathish Kottravel, Daniel Jonsson, Rickard Englund, Martin Falk, and Timo Ropinski. "Inviwo - An extensible, multi-purpose visualization framework." In 2015 IEEE Scientific Visualization Conference (SciVis). IEEE, 2015. http://dx.doi.org/10.1109/scivis.2015.7429514.

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Larsen, Matthew, Jeremy S. Meredith, Paul A. Navratil, and Hank Childs. "Ray tracing within a data parallel framework." In 2015 IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2015. http://dx.doi.org/10.1109/pacificvis.2015.7156388.

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Liao, Hongsen, Yingcai Wu, Li Chen, Thomas M. Hamill, Yunhai Wang, Kan Dai, Hui Zhang, and Wei Chen. "A visual voting framework for weather forecast calibration." In 2015 IEEE Scientific Visualization Conference (SciVis). IEEE, 2015. http://dx.doi.org/10.1109/scivis.2015.7429488.

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Jorgensen, Mackenzie, Jonathan Spohn, Christopher Bunn, Shi Dong, Xiangyu Li, and David Kaeli. "An interactive big data processing/visualization framework." In 2017 IEEE MIT Undergraduate Research Technology Conference (URTC). IEEE, 2017. http://dx.doi.org/10.1109/urtc.2017.8284188.

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Reports on the topic "Visualization Framework"

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Dron, Will, Mark Keaton, John Hancock, Mathew Aguirre, and Andrew J. Toth. US Army Research Laboratory Visualization Framework Design Document. Fort Belvoir, VA: Defense Technical Information Center, January 2016. http://dx.doi.org/10.21236/ad1002309.

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Moreland, Kenneth D. A pervasive parallel framework for visualization: final report for FWP 10-014707. Office of Scientific and Technical Information (OSTI), January 2014. http://dx.doi.org/10.2172/1121918.

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Ma, Kwan-Liu. A Pervasive Parallel Processing Framework for Data Visualization and Analysis at Extreme Scale. Office of Scientific and Technical Information (OSTI), February 2017. http://dx.doi.org/10.2172/1341896.

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Moreland, Kenneth, and Berk Geveci. A Pervasive Parallel Processing Framework for Data Visualization and Analysis at Extreme Scale. Office of Scientific and Technical Information (OSTI), November 2014. http://dx.doi.org/10.2172/1164814.

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Bivins, Gerrick O'Ron. A texture-based framework for improving CFD data visualization in a virtual environment. Office of Scientific and Technical Information (OSTI), January 2005. http://dx.doi.org/10.2172/850008.

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Mayo, Jackson R., W. Philip, Jr Kegelmeyer, Matthew H. Wong, Philippe Pierre Pebay, Ann C. Gentile, David C. Thompson, Diana C. Roe, Vincent De Sapio, and James M. Brandt. A framework for graph-based synthesis, analysis, and visualization of HPC cluster job data. Office of Scientific and Technical Information (OSTI), August 2010. http://dx.doi.org/10.2172/992310.

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Alexander S. Rattner, Donna Post Guillen, and Alark Joshi. Generalized Framework and Algorithms for Illustrative Visualization of Time-Varying Data on Unstructured Meshes. Office of Scientific and Technical Information (OSTI), December 2012. http://dx.doi.org/10.2172/1058088.

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Murphy, Joe J., Michael A. Duprey, Robert F. Chew, Paul P. Biemer, Kathleen Mullan Harris, and Carolyn Tucker Halpern. Interactive Visualization to Facilitate Monitoring Longitudinal Survey Data and Paradata. RTI Press, May 2019. http://dx.doi.org/10.3768/rtipress.2019.op.0061.1905.

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Surveys often require monitoring during data collection to ensure progress in meeting goals or to evaluate the interim results of an embedded experiment. Under complex designs, the amount of data available to monitor may be overwhelming and the production of reports and charts can be costly and time consuming. This is especially true in the case of longitudinal surveys, where data may originate from multiple waves. Other such complex scenarios include adaptive and responsive designs, which were developed to act on the results of such monitoring to implement prespecified options or alternatives in protocols. This paper discusses the development of an interactive web-based data visualization tool, the Adaptive Total Design (ATD) Dashboard, which we designed to provide a wide array of survey staff with the information needed to monitor data collection daily. The dashboard was built using the R programming language and Shiny framework and provides users with a wide range of functionality to quickly assess trends. We present the structure of the data used to populate the dashboard, its design, and the process for hosting it on the web. Furthermore, we provide guidance on graphic design, data taxonomy, and software decisions that can help guide others in the process of developing their own data collection monitoring systems. To illustrate the benefits of the dashboard, we present examples from the National Longitudinal Study of Adolescent to Adult Health (Add Health). We also discuss features of the dashboard to be developed for future waves of Add Health.
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Bethel, E. Wes, and John M. Shalf. Algorithms, Frameworks and Toolsets for High Performance, Remoteand Distributed Visualization. Office of Scientific and Technical Information (OSTI), July 2005. http://dx.doi.org/10.2172/882086.

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Bethel, E. Wes, and John M. Shalf. Algorithms, Frameworks and Toolsets for High Performance, Remoteand Distributed Visualization. Office of Scientific and Technical Information (OSTI), July 2005. http://dx.doi.org/10.2172/882136.

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