Visualization

 Visualization Visualization in the Digital Humanities Software Visualization Journals and Conferences

- scientific visualization - information visualization - interactive visualization - DH visualization - neutral and biased visualization

 Visualization

Key Readings High Priority

//A look inside the brain in real time//. (n.d.). Retrieved from http://www.ted.com/talks/christopher_decharms_scans_the_brain_in_real_time About us. (n.d.). Retrieved August 11, 2014, from http://www.gicentre.net/about/ Andrews, C., Endert, A., Yost, B., & North, C. (2011). Information visualization on large, high-resolution displays: Issues, challenges, and opportunities. //Information Visualization//, //10//(4), 341–355. doi:10.1177/1473871611415997 Audio:Visual:Motion [REDUX] - Contributor & Programme Details. (n.d.). Retrieved from http://www.codecreatives.info/audiovisualmotion-redux-contributor-programme-details/ Beale, G. (2013, November 22). Making Digital: Visual Approaches to the Digital Humanities. Retrieved August 26, 2014, from http://journalofdigitalhumanities.org/2-3/making-digital-visual-approaches-to-the-digital-humanities/ Bederson, B. B., & Shneiderman, B. (2003). //The Craft of Information Visualization: Readings and Reflections//. Morgan Kaufmann. Bertini, E., & ACM Digital Library. (2008). //Proceedings of the 2008 conference on BEyond time and errors novel evaLuation methods for Information Visualization//. New York, NY: ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1377966 Big Data & Distant Reading Visualized Into Art. (n.d.). Retrieved from http://5702x.graeworks.net/?p=437 Carenini, G., Conati, C., Hoque, E., Steichen, B., Toker, D., & Enns, J. (2014). Highlighting interventions and user differences: informing adaptive information visualization support. In //Proceedings of the 32nd annual ACM conference on Human factors in computing systems// (pp. 1835–1844). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2557141 Chakrabarty, M. M., & Mendonça, D. (2010). Information Visualization in Computing and Related Sciences: Evidence from Top Journals. //Journal of Information Technology Theory and Application (JITTA)//, //11//(2), 3. Chen, C. (2006). //Information Visualization: Beyond the Horizon//. Springer Science & Business Media. Chi, E. H. (2000). A taxonomy of visualization techniques using the data state reference model. In //Information Visualization, 2000. InfoVis 2000. IEEE Symposium on// (pp. 69–75). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=885092 Constructing Visuals — Tables, Graphs, and Visualizations. (n.d.). Retrieved August 11, 2014, from http://wps.pearsoncustom.com/pls_1256647969_pwo/217/55692/14257338.cw/content/index.html Corby{“id”:3429223, T., first_name“:”Tom, last_name“:”Corby, page_name“:”TomCorby, domain_name“:”westminster, Corby", “display_name”:"Tom, … Member"}. (n.d.). Landscapes of Feeling, Arenas of Action: Information Visualization as Art Practice. Retrieved August 11, 2014, from http://www.academia.edu/3310911/Landscapes_of_Feeling_Arenas_of_Action_Information_Visualization_as_Art_Practice Demos - JavaScript InfoVis Toolkit. (n.d.). Retrieved August 11, 2014, from http://philogb.github.io/jit/demos.html Digital MediaArts Numériques | Scoop.it. (n.d.). Retrieved August 11, 2014, from http://www.scoop.it/t/arts-numeriques Edward Tufte: Books - The Visual Display of Quantitative Information. (n.d.). Retrieved August 11, 2014, from http://www.edwardtufte.com/tufte/books_vdqi Elmqvist, N., Moere, A. V., Jetter, H.-C., Cernea, D., Reiterer, H., & Jankun-Kelly, T. (2011). Fluid interaction for information visualization. //Information Visualization//, //10//(4), 327–340. doi:10.1177/1473871611413180 From Visualization to Visually Enabled Reasoning. (2007). Retrieved from http://www.purdue.edu/discoverypark/vaccine/assets/pdfs/publications/pdf/From%20Visualization%20to%20Visually.pdf Gleicher, M., Albers, D., Walker, R., Jusufi, I., Hansen, C. D., & Roberts, J. C. (2011). Visual comparison for information visualization. //Information Visualization//, //10//(4), 289–309. Glitchmachines - Forward Thinking Audio Software & Sound Effects. (n.d.). Retrieved from http://www.glitchmachines.com/ Hullman, J., Drucker, S., Henry Riche, N., Lee, B., Fisher, D., & Adar, E. (2013). A deeper understanding of sequence in narrative visualization. //Visualization and Computer Graphics, IEEE Transactions on//, //19//(12), 2406–2415. Information Visualization. (n.d.). Retrieved August 11, 2014, from http://www.researchgate.net/journal/1473-8716_Information_Visualization //Is Pivot a turning point for web exploration?// (n.d.). Retrieved from http://www.ted.com/talks/gary_flake_is_pivot_a_turning_point_for_web_exploration Isenberg, P., Zuk, T., Collins, C., & Carpendale, S. (2008). Grounded Evaluation of Information Visualizations. In //Proceedings of the 2008 Workshop on BEyond Time and Errors: Novel evaLuation Methods for Information Visualization// (pp. 6:1–6:8). New York, NY, USA: ACM. doi:10.1145/1377966.1377974 JavaScript InfoVis Toolkit. (n.d.). Retrieved August 11, 2014, from http://philogb.github.io/jit/ Kerren, A., Stasko, J. T., Fekete, J.-D., North, C., Fekete, J.-D., Kerren, A., … Stasko, J. T. (2007). 07221 Abstracts Collection–Information Visualization-Human-Centered Issues in Visual Representation, Interaction, and Evaluation. In //Information Visualization-Human-Centered Issues in Visual Representation, Interaction, and Evaluation//. Retrieved from http://drops.dagstuhl.de/opus/volltexte/2007/1136/ Kosara, R. (2007). Visualization criticism-the missing link between information visualization and art. In //Information Visualization, 2007. IV’07. 11th International Conference// (pp. 631–636). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4272046 L01_Taxonomy.pdf. (n.d.). Retrieved from http://vis.cs.pitt.edu/teaching/cs2620/lectures/L01_Taxonomy.pdf Lam, H., Bertini, E., Isenberg, P., Plaisant, C., & Carpendale, S. (2012). Empirical studies in information visualization: Seven scenarios. //Visualization and Computer Graphics, IEEE Transactions on//, //18//(9), 1520–1536. Lam, H., Bertini, E., Isenberg, P., Plaisant, C., Carpendale, S., & others. (2011). Seven guiding scenarios for information visualization evaluation. Retrieved from http://hal.archives-ouvertes.fr/hal-00723057/ Leydesdorff, L. (2007). Visualization of the citation impact environments of scientific journals: An online mapping exercise. //Journal of the American Society for Information Science and Technology//, //58//(1), 25–38. Liu, A. (2012). The state of the digital humanities: A report and a critique. //Arts and Humanities in Higher Education//, //11//(1-2), 8–41. doi:10.1177/1474022211427364 //Making sense of too much data//. (n.d.). Retrieved from http://www.ted.com/playlists/56/making_sense_of_too_much_data Mazza, R. (2009). //Introduction to Information Visualization//. Springer Science & Business Media. Medler, B., & Magerko, B. (2011). Analytics of play: Using information visualization and gameplay practices for visualizing video game data. //Parsons Journal for Information Mapping//, //3//(1), 1–12. NASA Visualization Explorer - Home. (n.d.). Retrieved August 11, 2014, from http://svs.gsfc.nasa.gov/nasaviz/ PNNL: Information Visualization and Visual Analytics. (n.d.). Retrieved August 11, 2014, from http://vis.pnnl.gov/ Purchase, H. C., Andrienko, N., Jankun-Kelly, T. J., & Ward, M. (2008). Theoretical foundations of information visualization. In //Information Visualization// (pp. 46–64). Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-3-540-70956-5_3 Raveler, T. (n.d.). Get the picture? The science behind why information visualization is so effective. « Unravel the Law. Retrieved from https://blog.ravellaw.com/?p=164 Research Area – Information Visualization & Visual Analytics | School of Interactive Computing. (n.d.). Retrieved August 11, 2014, from http://www.ic.gatech.edu/research/infovis Rhyne, T.-M., Tory, M., Munzner, T., Ward, M., Johnson, C., & Laidlaw, D. H. (2003). Information and scientific visualization: Separate but equal or happy together at last. In //Visualization Conference, IEEE// (pp. 115–115). IEEE Computer Society. Retrieved from http://www.computer.org/csdl/proceedings/ieee_vis/2003/2030/00/20300115.pdf Shneiderman, B. (2012). Challenges for information visualization research: Visual quality and data quantity. In //Pacific Visualization Symposium (PacificVis), 2012 IEEE// (pp. x–x). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6183566 Stanford Vis Group | Design Considerations for Collaborative Visual Analytics. (n.d.). Retrieved August 11, 2014, from http://vis.stanford.edu/papers/design-considerations-ivj Stephen Anderson. (17:26:19 UTC). //Quest for Emotional Engagement: Information Visualization (v1.5)//. Economy & Finance. Retrieved from http://www.slideshare.net/stephenpa/quest-for-emotional-engagement-information-visualization-v15 //Stunning data visualization in the AlloSphere//. (n.d.). Retrieved from http://www.ted.com/talks/joann_kuchera_morin_tours_the_allosphere taxonomy of visualization. (n.d.). The 36 best tools for data visualization | Web design | Creative Bloq. (n.d.). Retrieved August 11, 2014, from http://www.creativebloq.com/design-tools/data-visualization-712402 //The beauty of data visualization//. (n.d.). Retrieved from http://www.ted.com/talks/david_mccandless_the_beauty_of_data_visualization //The best stats you’ve ever seen//. (n.d.). Retrieved from http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen The National Security Agency’s Review of Emerging Technologies: An Information Visualization Primer and Field Trip. (n.d.). Retrieved from http://www.nsa.gov/research/tnw/tnw172/articles/pdfs/TNW_17_2_Web.pdf //Topics in Information Visualization and Visual Analytics – Dr. Dirk Zeckzer//. (n.d.). Retrieved from http://www-hagen.informatik.uni-kl.de/~alzokari/iivva/pdf/TopicsOnInformationVisualization-C1-Introduction.pdf Tory, M. (n.d.). //(Information) Visualization//. Retrieved from https://connex.csc.uvic.ca/access/content/group/4bda4e23-0e71-4c0d-98b2-5565a8d09f75/web/notes/01_intro_slides.pdf Tory, M., & Moller, T. (2004). Rethinking visualization: A high-level taxonomy. In //Information Visualization, 2004. INFOVIS 2004. IEEE Symposium on// (pp. 151–158). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1382903 //Turning powerful stats into art//. (n.d.). Retrieved from http://www.ted.com/talks/chris_jordan_pictures_some_shocking_stats Vande Moere, A., Tomitsch, M., Wimmer, C., Christoph, B., & Grechenig, T. (2012). Evaluating the effect of style in information visualization. //Visualization and Computer Graphics, IEEE Transactions on//, //18//(12), 2739–2748. Visual Business Intelligence - Information visualization for the masses – the dialogue continues. (n.d.). Retrieved from http://www.perceptualedge.com/blog/?p=199 Visualization.pdf. (n.d.). Retrieved from http://www.cs.kent.edu/~zhao/vis13/lectures/Visualization.pdf //Visualizing Static and Dynamic Relations in Information Hierarchies//. (n.d.). Retrieved from http://ubt.opus.hbz-nrw.de/volltexte/2010/600/pdf/michaelburchdiss.pdf Walny, J., Carpendale, S., Riche, N. H., Venolia, G., & Fawcett, P. (2011). Visual thinking in action: Visualizations as used on whiteboards. //Visualization and Computer Graphics, IEEE Transactions on//, //17//(12), 2508–2517. Zoss, A. (n.d.). LibGuides. Introduction to Data Visualization. Visualization Types. Retrieved August 10, 2014, from http://guides.library.duke.edu/vis_types

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 Visualization in the Digital Humanities

Key topics: neutral/positioned design media/research object, data, metadata approaches to various data types DH

Key Reading: Manovich, L. (2012). Visualization Methods for Media Studies. //Oxford Handbook of Sound and Image in Digital Media//. Retrieved from http://softwarestudies.com/cultural_analytics/Manovich.Visualization_Methods_Media_Studies.pdf

Annotation The author synthesizes previous key theoretical points from previous articles (by the author). Starting with an overview of the milestones of visualization, mentioning that the history is still unwritten, the author describes "design neutrality" in comparison to artistic visualization (making a statement) noting that novel techniques used for visualization are rare within artistic visualization, yet it's significance, "relevant for (the) humanities is problematizing the standard visualization process, and specifically the translation of some “reality” into data." A key point that is central to the paper is combining microscopic and telescopic vision, close reading and distant reading – “reading” the actual artifacts and “reading” larger patterns abstracted from very large sets of these artifacts". In the Humanities the data used is not a priori, yet must be extracted from research object. This process of translating media into data is not standardized, often needs to be invented, requires specialized knowledge of "the object", and is not a substitute for experiencing the object itself - distant and close reading lead to different knowledge. Once the data has been extracted one can add new metadata by hand or use computational algorithms to extract features from the data. Most time, for a thorough analysis, both techniques are required for "natural languages are powerful tools for describing representational and narrative content of media, they do not work as well to describe visual form."

Tags: neutral/biased representation, media vs text objects, processing data

//Sinclair, S., Ruecker, S., & Radzikowska, M. (2013). Information Visualization for Humanities Scholars. In K. M. Price & R. Siemens (Eds.),// Literary Studies in the Digital Age//. Modern Language Association of America. Retrieved from http://dlsanthology.commons.mla.org/information-visualization-for-humanities-scholars///

Annotation The author discusses information visualization for the humanities and begins by stating that visualization that presents a fixed single representation of the data is not the best approach but rather a presentation that allow one to examine the data from many "reasonable and original perspectives as possible" such as to "develop convincing interpretations". An overview of the difference between static and interactive visualization is provided followed by examples of exemplar visualizations used in the humanities (Many Eyes, Bubblelines Interface, Inaugural words: 1789 to the Present, The State of the Union Address, DiRT List, TAPoRware, ) that leads to a discussion on exploratory interfaces. The author provides an extensive overview of the existing types of visualizations, the systems used to create them, and the strategy used to approach the data.The author traverses the topics, browsing by grouping, revealing features, time and space, typographical form as interactive visualization, and interactive graphs providing extensive examples for each. A particular noteworthy example is within the "Revealing Features" section that describes systems that "take advantage of more than one tool in sequence"..."which guide the researcher through a process where some steps are facilitated by tools and others are manual, and different kinds of data are accessed or produced with each step." [|//TAPoR//] (//Text Analysis Portal for Resarch//), [|//MONK//], and [|//JiTR//] //(Just-in-Time Research)//

Tags: neutral/biased representation, interactive visualization, approaches to dealing with different types of data

Viégas, F. B., & Wattenberg, M. (2007). Artistic data visualization: Beyond visual analytics. In //Online Communities and Social Computing// (pp. 182–191). Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-3-540-73257-0_21

Annotation The author provides an overview with examples of Artistic Visualization (AV). Understanding data visualization as a tool to support analytic reasoning and "dispassionate analysis" the author presents AV, a process with similar if not the same techniques yet with different motivations and creations. The definition of AV is provided as "visualizations of data done by artists with the intent of making art. This definition may seem like a tautology, but in fact it specifies a coherent and interesting class of work", with two caveats; the artworks must be based on actual data, and that the "definition avoids the issue of beauty: we do not contend that beautiful scientific visualizations are automatically artistic, or that visualization art must be pretty.Thus a microscope photograph taken as part of a scientific experiment would not qualify under our definition: no matter how beautiful the colors, the photograph would lack artistic intent." This is followed by an overview of four AV projects, Power of Colored Pixels, Power of Numbers, Last Clock, and They Rule. "All these projects share one characteristic that distinguishes them from traditional visualization tools: Each embodies a forceful point of view. In a sense, the artworks derive their power from the fact that the artists are committing various sins of visual analytics. It is worth reviewing the projects in this light." A strong argument for visualizations that are positioned - that is, have a statement to make - is made throughout the paper, which is made stronger with the language that is chosen to represent non AV. This seems justified for as the author notes "it is generally impossible to create a visualization that is truly neutral", yet, I would have liked there to be more discussion on the rationale behind this claim as it relates to the decisions made to take a particular position, for within the DH and Humanities the outcome is not to remain neutral but to have an informed position (the most informed possible) which requires the information to be presented as neutral as possible such as explore the data (interactively if possible) such that data visualization states can be compared - such that the appropriate (whatever that means) position can be taken and argued for with help from the visualizations. This end critique is not to undermine AV, not at all, but a request of further explanation for such a strong position against non AV.

Tags: neutral/biased representation,

Top Priority: A Guide to the Quality of Different Visualization Venues. (n.d.). Retrieved August 11, 2014, from http://eagereyes.org/blog/2013/a-guide-to-the-quality-of-different-visualization-venues Agents for Actors: A Digital Humanities framework for distributed microservices for text linking and visualization. (n.d.). Retrieved August 26, 2014, from http://dh2013.unl.edu/abstracts/ab-174.html Allen, R. B. (2011). Visualization, causation, and history. In //Proceedings of the 2011 iConference// (pp. 538–545). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1940835 Amin, A., Hildebrand, M., van Ossenbruggen, J., & Hardman, L. (2010). Designing a thesaurus-based comparison search interface for linked cultural heritage sources. In //Proceedings of the 15th international conference on Intelligent user interfaces// (pp. 249–258). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1720005 Athenikos, S. J., & Lin, X. (2009). Visualizing intellectual connections among philosophers using the hyperlink & semantic data from Wikipedia. In //Proceedings of the 5th International Symposium on Wikis and Open Collaboration// (p. 21). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1641342 Beale, G. (2013, November 22). Making Digital: Visual Approaches to the Digital Humanities. Retrieved August 26, 2014, from http://journalofdigitalhumanities.org/2-3/making-digital-visual-approaches-to-the-digital-humanities/ Bingenheimer, M., Hung, J.-J., & Wiles, S. (2011). Social network visualization from TEI data. //Literary and Linguistic Computing//, //26//(3), 271–278. doi:10.1093/llc/fqr020 Birchall, C. (2011). Introduction to “Secrecy and Transparency”: The Politics of Opacity and Openness. //Theory, Culture & Society//, //28//(7-8), 7–25. doi:10.1177/0263276411427744 Borgman, C. L. (2009). The Digital Future is Now: A Call to Action for the Humanities, //3//(4). Retrieved from http://digitalhumanities.org/dhq/vol/3/4/000077/000077.html Ciuccarelli, P. (2014). Mind the Graph: From Visualization to Collaborative Network Constructions. //Leonardo//, //47//(3), 268–269. Clement, T. (2012). Methodologies in the digital humanities for analyzing aural patterns in texts. In //Proceedings of the 2012 iConference// (pp. 287–293). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2132213 Computational journalism. (n.d.). Retrieved August 26, 2014, from http://dl.acm.org.libaccess.lib.mcmaster.ca/citation.cfm?id=2001288 Computing and Visualizing the 19th-Century Literary Genome | Digital Humanities 2012. (n.d.). Retrieved August 17, 2014, from http://www.dh2012.uni-hamburg.de/conference/programme/abstracts/computing-and-visualizing-the-19th-century-literary-genome/ course schedule: Big Data, Visualization, and Digital Humanities.Spring 2013. GC CUNY - Google Docs. (n.d.). Retrieved August 11, 2014, from https://docs.google.com/document/d/1Mf6qlFNqwLLvVPlWAOy0eK3HfbgLlJgIJSyEImM4uSg/edit Data Visualization | Digital Humanities - DH. (n.d.). Retrieved August 17, 2014, from http://dh.fbk.eu/taxonomy/term/3 DH Awards 2013 Results | Digital Humanities Awards. (n.d.). Retrieved from http://dhawards.org/dhawards2013/results/ dhresourcesforprojectbuilding [licensed for non-commercial use only] / Digital Humanities Tools. (n.d.). Retrieved August 17, 2014, from http://dhresourcesforprojectbuilding.pbworks.com/w/page/69244319/Digital%20Humanities%20Tools Don, A., Zheleva, E., Gregory, M., Tarkan, S., Auvil, L., Clement, T., … Plaisant, C. (2007). Discovering interesting usage patterns in text collections: integrating text mining with visualization. In //Proceedings of the sixteenth ACM conference on Conference on information and knowledge management// (pp. 213–222). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1321473 Dörk, M., Comber, R., & Dade-Robertson, M. (2014). Monadic exploration: seeing the whole through its parts (pp. 1535–1544). ACM Press. doi:10.1145/2556288.2557083 Driving Next Generation Digital Humanities | WestGrid. (n.d.). Retrieved August 17, 2014, from https://www.westgrid.ca/research-showcase/geoffrey_rockwell Drouin, J. (2014). Close- And Distant-Reading Modernism: Network Analysis, Text Mining, and Teaching The Little Review. //The Journal of Modern Periodical Studies//, //5//(1), 110–135. Drucker, J. (2004). Speculative Computing: Aesthetic Provocations in Humanities Computing. In //A Companion to Digital Humanities//. Retrieved from http://digitalhumanities.org:3030/companion/view?docId=blackwell/9781405103213/9781405103213.xml&chunk.id=ss1-4-10&toc.depth=1&toc.id=ss1-4-10&brand=9781405103213_brand&query=speculative# Drucker, J. (2011). Humanities approaches to graphical display. //Digital Humanities Quarterly//, //5//(1). Retrieved from http://www.johannadrucker.com/pdf/hum_app.pdf Editors’ Choice: A Text-Mining and Visualization Roundup | Digital Humanities Now. (n.d.). Retrieved from http://digitalhumanitiesnow.org/2012/12/editors-choice-a-text-mining-and-visualization-roundup/ Elwood, S. (2011). Geographic Information Science: Visualization, visual methods, and the geoweb. //Progress in Human Geography//, //35//(3), 401–408. doi:10.1177/0309132510374250 Embracing the Ambiguity and Potential of Data Science. (2013). Retrieved from http://journals1.scholarsportal.info.libaccess.lib.mcmaster.ca/pdf/09332480/v26i0004/46_tacitcaapods.xml Getto, G., & Silva, M. L. (2012). Doing multimodal research the easy way: A workflow for making sense of technologically complex communication situations. In //Proceedings of the 30th ACM international conference on design of communication// (pp. 89–94). ACM. 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//Yogev, S. (2014). Exploratory search interfaces: blending relevance, diversity, relationships and categories (pp. 61–64). ACM Press. doi:10.1145/2559184.2559187//

//Annotation// The author proposes an alternative search results layout to the top-down approach found in Google scholar, that of tiling with a center-out relevancy approach. An overview of three existing alternatives are presented (TopicNets, UNESCO digital library, and PivotPaths) followed by a brief description of the research method.

//Zax, D. (n.d.). Visualizing Historical Data, And The Rise Of “Digital Humanities.” Retrieved August 17, 2014, from http://www.fastcompany.com/1758538/visualizing-historical-data-and-rise-digital-humanities//

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//High Priority://

//42_umt.pdf. (n.d.). Retrieved from http://journals1.scholarsportal.info.libaccess.lib.mcmaster.ca/pdf/14704129/v13i0001/42_umt.xml// //A Guide to the Quality of Different Visualization Venues. (n.d.). Retrieved August 11, 2014, from http://eagereyes.org/blog/2013/a-guide-to-the-quality-of-different-visualization-venues// //Abello, J., Broadwell, P., & Tangherlini, T. R. (2012). Computational Folkloristics.// Commun. ACM//,// 55//(7), 60–70. doi:10.1145/2209249.2209267// //Adler, M., Tennis, J. T., Milojević, S., van Hooland, S., Rogers, C., & West, J. D. (2013). The Temporal dimension in the study of knowledge bases: Approaches to understanding knowledge creation and representation over time.// Proceedings of the American Society for Information Science and Technology//,// 50//(1), 1–3.// //Agents for Actors: A Digital Humanities framework for distributed microservices for text linking and visualization. (n.d.). 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//Ciuccarelli, P. (2014). Mind the Graph: From Visualization to Collaborative Network Constructions.// Leonardo//,// 47//(3), 268–269.//

//Annotation// The author discusses the shift from making visualizations to represent data for the user to interactive interfaces that allow the user to create multiple scalable visualizations as to allow for the patterns, ambiguity, and uncertain aspects of the data to be revealed to the user. The author begins by discussing the relationship of design and design practices (communication and information design) to the soft sciences (sic) noting the Digital Humanities and Computation Sociology as the most promising areas. "The contribution of Communication(and Information) Design is twofold: on one hand it can support the exploration of the often dark and uncertain matter of historical data and digital traces, and let the patterns emerge; on the other hand Communication and Information Design can help bringing complex scientific issues into the hands of non-expert stakeholders: people that are neither expert of the domain of interest nor familiar with the very nature, the structure and the dynamics of complexity." The author refers to Actor-Network Theory in discussing the move from "the production of static "atlases" to activation of a navigation process", using 'Mapping of the Republic of Letters' (MRofL) and the EMAPS project (also in MRfoL) as examples. "(I)//nterfaces become performative environments where scholars can play with the data and build their own interpretations, mingling“reading” and “making”, “thinking” and “building” [9]. The result is a speculative process that shares some of the peculiarities of the design practices: the interface becomes a design tool.//"

//Clement, T. (2012). Methodologies in the digital humanities for analyzing aural patterns in texts. In// Proceedings of the 2012 iConference //(pp. 287–293). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2132213// //Clement, T. E. (2012). Half-Baked: The State of Evaluation in the Digital Humanities.// American Literary History//,// 24//(4), 876–890.// //Clement, T., Tcheng, D., Auvil, L., Capitanu, B., & Barbosa, J. (2013). Distant Listening to Gertrude Stein’s “Melanctha”: Using Similarity Analysis in a Discovery Paradigm to Analyze Prosody and Author Influence.// Literary and Linguistic Computing//,// 28//(4), 582–602. doi:10.1093/llc/fqt040// //Cohen, S., Hamilton, J. T., & Turner, F. (2011). Computational Journalism.// Commun. ACM//,// 54//(10), 66–71. doi:10.1145/2001269.2001288// //Collins, E., Bulger, M. E., & Meyer, E. T. (2012). Discipline matters: Technology use in the humanities.// Arts and Humanities in Higher Education//,// 11//(1-2), 76–92. doi:10.1177/1474022211427421// //Computational journalism. (n.d.). Retrieved August 26, 2014, from http://dl.acm.org.libaccess.lib.mcmaster.ca/citation.cfm?id=2001288// //Computing and Visualizing the 19th-Century Literary Genome | Digital Humanities 2012. (n.d.). Retrieved August 17, 2014, from http://www.dh2012.uni-hamburg.de/conference/programme/abstracts/computing-and-visualizing-the-19th-century-literary-genome/// //course schedule: Big Data, Visualization, and Digital Humanities.Spring 2013. GC CUNY - Google Docs. (n.d.). Retrieved August 11, 2014, from https://docs.google.com/document/d/1Mf6qlFNqwLLvVPlWAOy0eK3HfbgLlJgIJSyEImM4uSg/edit// //Crandall, J. (2010). The Geospatialization of Calculative Operations: Tracking, Sensing and Megacities.// Theory, Culture & Society//,// 27//(6), 68–90. doi:10.1177/0263276410382027// //Dalmau, M., & Schlosser, M. (2010). Challenges of serials text encoding in the spirit of scholarly communication.// Library Hi Tech//,// 28//(3), 345–359. doi:10.1108/07378831011076611// //Data Visualization | Digital Humanities - DH. (n.d.). Retrieved August 17, 2014, from http://dh.fbk.eu/taxonomy/term/3// //Deray, K., & Simoff, S. (2012). Framing Interaction through Engagement in Interactive Open Ended Environments (pp. 534–539). IEEE. doi:10.1109/IV.2012.91// //DH Awards 2013 Results | Digital Humanities Awards. (n.d.). Retrieved from http://dhawards.org/dhawards2013/results/// //dhresourcesforprojectbuilding [licensed for non-commercial use only] / Digital Humanities Tools. (n.d.). Retrieved August 17, 2014, from http://dhresourcesforprojectbuilding.pbworks.com/w/page/69244319/Digital%20Humanities%20Tools// //Di Donato, F., Morbidoni, C., Fonda, S., Piccioli, A., Grassi, M., & Nucci, M. (2013). Semantic annotation with Pundit: a case study and a practical demonstration (pp. 1–4). 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Retrieved from http://journals1.scholarsportal.info.libaccess.lib.mcmaster.ca/pdf/09332480/v26i0004/46_tacitcaapods.xml// //Fischnaller, F., Singh, Y. M., & Reed, M. (2013). The Last Supper Interactive: Stereoscopic and ultra-high resolution 4K/3D HD for immersive real-time virtual narrative in Italian Renaissance Art. In// Digital Heritage International Congress (DigitalHeritage), 2013 //(Vol. 2, pp. 637–644). doi:10.1109/DigitalHeritage.2013.6744830// //Fisher, M. M., & Swartz, A. (2014). Why Digital Art History?// Visual Resources//,// 30//(2), 125–137. doi:10.1080/01973762.2014.908098// //Flaten, A. R. (2009). The Ashes2Art Project: Digital Models of Fourth-Century BCE Delphi, Greece.// Visual Resources//,// 25//(4), 345–362.// //Flaten, A. R., & Gill, A. A. (2009). Digital Crossroads: New Directions in 3D Architectural Modeling in the Humanities—Overview.// Visual Resources//,// 25//(4), 309–312.// //Garofalo, D. A. (2013). Tech Services on the Web: Round-Up of Selected Listservs for Tech Services Librarians.// Technical Services Quarterly//,// 30//(3), 349–351.// //Geisler, G., Willard, G., & Ovalle, C. (2011). A crowdsourcing framework for the production and use of film and television data.// New Review of Hypermedia and Multimedia//,// 17//(1), 73–97. doi:10.1080/13614568.2011.552645//

//Getto, G., & Silva, M. L. (2012). Doing multimodal research the easy way: A workflow for making sense of technologically complex communication situations. In// Proceedings of the 30th ACM international conference on design of communication //(pp. 89–94). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2379075//

//Annotation//

The author describes a framework for multimodal research drawing on a methodology know as Systemic Functional Multimodal Discourse Analysis (SF-MDA). An overview is provided discussing SF-MDA and Social Semiotic theory, workflow using SF-MDA, data collection, and analysis.

//Gill, A. A. (2009). Digitizing the past: charting new courses in the modeling of virtual landscapes.// Visual Resources//,// 25//(4), 313–332.// //Gloria, M. J. K., DiFranzo, D., Navarro, M. F., & Hendler, J. (2013). The performativity of data: reconceptualizing the web of data. In// Proceedings of the 5th Annual ACM Web Science Conference //(pp. 109–117). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2464509// //Gordon, E., & Manosevitch, E. (2011). Augmented deliberation: Merging physical and virtual interaction to engage communities in urban planning.// New Media & Society//,// 13//(1), 75–95. doi:10.1177/1461444810365315// //Grassi, M., Morbidoni, C., Nucci, M., Fonda, S., & Piazza, F. (2013). Pundit: augmenting web contents with semantics.// Literary and Linguistic Computing//,// 28//(4), 640–659. doi:10.1093/llc/fqt060// //Gregory, I. N., & Healey, R. G. (2007). Historical GIS: structuring, mapping and analysing geographies of the past.// Progress in Human Geography//,// 31//(5), 638–653. doi:10.1177/0309132507081495// //Hankins, G. A. (2014). Visualizing Modernist Magazines with Geographic Information Systems (GIS): New Approaches in the Spatial Humanities.// The Journal of Modern Periodical Studies//,// 5//(1), 69–93.// //Harkema, C., & Nygren, C. (2012). Historypin for library image collections: New modes of access for unique materials at the University of Saskatchewan library.// Partnership: The Canadian Journal of Library and Information Practice and Research//,// 7//(2). Retrieved from http://synergies.lib.uoguelph.ca/index.php/perj/article/view/1970// //Hattwig, D., Bussert, K., Medaille, A., & Burgess, J. (2013). Visual Literacy Standards in Higher Education: New Opportunities for Libraries and Student Learning.// Portal: Libraries and the Academy//,// 13//(1), 61–89. doi:10.1353/pla.2013.0008// //Hochman, N., & Schwartz, R. (2012). Visualizing instagram: Tracing cultural visual rhythms. In// Proceedings of the Workshop on Social Media Visualization (SocMedVis) in conjunction with the Sixth International AAAI Conference on Weblogs and Social Media (ICWSM–12) //(pp. 6–9). Retrieved from http://www.aaai.org/ocs/index.php/ICWSM/ICWSM12/paper/viewPDFInterstitial/4782/5091// //Hoetzlein, R. C. (2012). Visual Communication in Times of Crisis: The Fukushima Nuclear Accident.// Leonardo//,// 45//(2), 113–118.// //How to Calculate the ROI for Data Visualization Tools | Tech Trends Journal. (n.d.). Retrieved August 11, 2014, from http://www.thomasnet.com/journals/techtrends/articles/how-to-calculate-the-roi-for-data-visualization-tools// //Hoyt, E. (2014). Lenses for Lantern: Data Mining, Visualization, and Excavating Film History’s Neglected Sources.// Film History: An International Journal//,// 26//(2), 146–168.// //Hsu, W. F. (2013). Mapping The Kominas’ sociomusical transnation: punk, diaspora, and digital media.// Asian Journal of Communication//,// 23//(4), 386–402. doi:10.1080/01292986.2013.804103// //Huurdeman, H. C., Ben-David, A., & Sammar, T. (2013). Sprint methods for web archive research. In// Proceedings of the 5th Annual ACM Web Science Conference //(pp. 182–190). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2464513// //Images by Circos in Publications: Newspapers, Magazines, Books and Journals// CIRCOS Circular Genome Data Visualization. (n.d.). Retrieved August 11, 2014, from http://circos.ca/intro/published_images/ Johanson, C. (2009). Visualizing history: Modeling in the eternal city. //Visual Resources//, //25//(4), 403–418. Jones, S. (2012). When computers read: Literary analysis and digital technology. //Bulletin of the American Society for Information Science and Technology//, //38//(4), 27–30. Joyeux-Prunel, B., Dossin, C., & Adam Matei, S. (2013). 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 //Software Visualization//

Key Reading:

Beck, F., Hollerich, F., Diehl, S., & Weiskopf, D. (2013). Visual monitoring of numeric variables embedded in source code. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650545 homer, m., & Noble, J. (2013). A tile-based editor for a textual programming language. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650546

High Priority:

Abuthawabeh, A., & Zeckzer, D. (2013). IMMV: An interactive multi-matrix visualization for program comprehension. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650549 Anslow, C., Marshall, S., Noble, J., & Biddle, R. (2013). SourceVis: Collaborative software visualization for co-located environments. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–10). doi:10.1109/VISSOFT.2013.6650527 Balogh, G., & Beszedes, A. (2013). CodeMetrpolis #x2014; A minecraft based collaboration tool for developers. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650528 Beck, F., Hollerich, F., Diehl, S., & Weiskopf, D. (2013). Visual monitoring of numeric variables embedded in source code. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650545 Benomar, O., Sahraoui, H., & Poulin, P. (2013). Visualizing software dynamicities with heat maps. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–10). doi:10.1109/VISSOFT.2013.6650524 Hanjalic, A. (2013). ClonEvol: Visualizing software evolution with code clones. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650525 Minelli, R., & Lanza, M. (2013). Visualizing the workflow of developers. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650531 Palepu, V. K., & Jones, J. . (2013). Visualizing constituent behaviors within executions. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650537 Reiss, S. P., & Tarvo, A. (2013). Tool demonstration: The visualizations of code bubbles. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650521 Scanniello, G., & Erra, U. (2013). Software entities as bird flocks and fish schools. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650544 Veroy, R. L., Ricci, N. P., & Guyer, S. Z. (2013). Visualizing the allocation and death of objects. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650538

Further Resources:

Abuthawabeh, A., Beck, F., Zeckzer, D., & Diehl, S. (2013). Finding structures in multi-type code couplings with node-link and matrix visualizations. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–10). doi:10.1109/VISSOFT.2013.6650530 Dal Sassc, T., & Lanza, M. (2013). A closer look at bugs. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650542 De Pauw, W., Wolf, J., & Balmin, A. (2013). Visualizing jobs with shared resources in distributed environments. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–10). doi:10.1109/VISSOFT.2013.6650535 Elsen, S. (2013). VisGi: Visualizing Git branches. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650522 Fabry, J., & Bergel, A. (2013). Design decisions in AspectMaps. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650548 Fittkau, F., Waller, J., Wulf, C., & Hasselbring, W. (2013). Live trace visualization for comprehending large software landscapes: The ExplorViz approach. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650536 Gouveia, C., Campos, J., & Abreu, R. (2013). Using HTML5 visualizations in software fault localization. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–10). doi:10.1109/VISSOFT.2013.6650539 Guzman, E. (2013). Visualizing emotions in software development projects. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650529 Karran, B., Trumper, J., & Dollner, J. (2013). SYNCTRACE: Visual thread-interplay analysis. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–10). doi:10.1109/VISSOFT.2013.6650534 Lopez-Herrejon, R. E., & Egyed, A. (2013). Towards interactive visualization support for pairwise testing software product lines. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650543 Reiss, S. P., & Tarvo, A. (2013). Automatic categorization and visualization of lock behavior. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–10). doi:10.1109/VISSOFT.2013.6650540 Sandoval Alcocer, J. P., Bergel, A., Ducasse, S., & Denker, M. (2013). Performance evolution blueprint: Understanding the impact of software evolution on performance. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–9). doi:10.1109/VISSOFT.2013.6650523 Servant, F., & Jones, J. . (2013). Chronos: Visualizing slices of source-code history. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650547 Sharif, B., Jetty, G., Aponte, J., & Parra, E. (2013). An empirical study assessing the effect of seeit 3D on comprehension. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–10). doi:10.1109/VISSOFT.2013.6650519 Shrestha, A., Zhu, Y., & Miller, B. (2013). Visualizing time and geography of open source software with storygraph. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650532 Waller, J., Wulf, C., Fittkau, F., Dohring, P., & Hasselbring, W. (2013). Synchrovis: 3D visualization of monitoring traces in the city metaphor for analyzing concurrency. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650520 Wehrwein, B. (2013). Lightweight software reverse engineering using augmented matrix visualizations. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650541 Zhi, J., & Ruhe, G. (2013). DEVis: A tool for visualizing software document evolution. In //2013 First IEEE Working Conference on Software Visualization (VISSOFT)// (pp. 1–4). doi:10.1109/VISSOFT.2013.6650526

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 Journals and Conferences

http://www.wikicfp.com/cfp/home Visualization Call For Papers for Conferences, Workshops and Journals at WikiCFP. (n.d.). Retrieved August 11, 2014, from http://www.wikicfp.com/cfp/call?conference=visualization A Guide to the Quality of Different Visualization Venues. (n.d.). Retrieved August 11, 2014, from http://eagereyes.org/blog/2013/a-guide-to-the-quality-of-different-visualization-venues

Conferences

1st IEEE Working Conference on Software Visualization. (n.d.). Retrieved August 10, 2014, from http://icsm2013.tue.nl/VISSOFT/program/ ACM SAP. (n.d.). Retrieved August 11, 2014, from http://www.apgv.org/ Architecture, Engineering and Construction Hackathon March 14-16. (n.d.). Retrieved August 11, 2014, from http://www.siggraph.org/discover/news/architecture-engineering-and-construction-hackathon-march-14-16 cgiv2013 - Computer Graphics, Imaging and Visualization. (n.d.). Retrieved August 11, 2014, from http://www.graphicslink.co.uk/cgiv2013/ Computer Society Conference List. (n.d.). Retrieved August 11, 2014, from http://www.computer.org/csdl/proceedings/i/list.html Conference Calls | Music Technology Group. (n.d.). Retrieved August 20, 2014, from http://www.mtg.upf.edu/research/workshops Detailed Preparation Guidelines for PacificVis. (n.d.). Retrieved August 27, 2014, from http://www.cs.sfu.ca/~vis/Track/pacvis.html ICIVTA Venice 2015: International Conference on Information Visualization Theory and Applications. (n.d.). Retrieved August 11, 2014, from https://www.waset.org/conference/2015/04/venice/ICIVTA IEEE VIS 2014. (n.d.). Retrieved August 11, 2014, from http://ieeevis.org/year/2014/info/call-participation/vast-papers Infovis: Home. (n.d.). Retrieved August 11, 2014, from http://www.infovis.org/ International Symposium on Visual Computing. (n.d.). Retrieved August 11, 2014, from http://www.isvc.net/ iV2014: international conference Information Visualisation -. (n.d.). Retrieved August 11, 2014, from http://www.graphicslink.co.uk/IV2014/ IVAPP 2015 - International Conference on Information Visualization Theory and Applications. (n.d.). Retrieved August 11, 2014, from http://www.ivapp.visigrapp.org/ International Computer Music Conference 2013. Retrieved August 20, 2014, from http://www.eventbrite.com.au/event/5863360469/efblike SIGGRAPH conference. (n.d.). Retrieved August 11, 2014, from http://www.siggraph.org/learn/conference-content SIGGRAPH Digital Arts. (n.d.). Retrieved August 11, 2014, from http://www.siggraph.org/connect/digital-arts Welcome to Infovis. (n.d.). Retrieved August 11, 2014, from http://conferences.computer.org/infovis/ Welcome to NextMed / MMVR. (n.d.). Retrieved August 11, 2014, from http://www.nextmed.com/ WSCG-Computer Graphics, Visualization & Computer V. (n.d.). Retrieved August 11, 2014, from http://www.wscg.eu/

Journals

2013 Visualization Challenge. (2014). //Science//, //343//(6171), 600–610. doi:10.1126/science.343.6171.600 About JoVE, a new movement in scientific publishing. (n.d.). Retrieved August 11, 2014, from http://www.jove.com/about Citography: the visualization of nineteen thousand journals through their recent citations. (n.d.). Retrieved from http://www.researchtrends.com/issue26-january-2012/citography-the-visualization-of-nineteen-thousand-journals-through-their-recent-citations/ Computer Animation and Virtual Worlds - All Issues - Wiley Online Library. (n.d.). Retrieved August 11, 2014, from http://onlinelibrary.wiley.com.libaccess.lib.mcmaster.ca/journal/10.1002/(ISSN)1546-427X/issues dblp: Journal of Visualization and Computer Animation. (n.d.). Retrieved August 11, 2014, from http://www.informatik.uni-trier.de/~Ley/db/journals/jvca/index.html Dynamic Visualization of Biomedical Journals 2003-2012 | The Scholarly Kitchen. (n.d.). Retrieved August 11, 2014, from http://scholarlykitchen.sspnet.org/2013/07/24/dynamic-visualization-of-biomedical-journals-2003-2012/ IEEE Transactions on Visualization and Computer Graphics | Computer Society. (n.d.). Retrieved August 11, 2014, from http://www.computer.org/portal/web/tvcg IEEE Xplore: Visualization and Computer Graphics, IEEE Transactions on. (n.d.). Retrieved August 11, 2014, from http://ieeexplore.ieee.org.libaccess.lib.mcmaster.ca/xpl/RecentIssue.jsp?punumber=2945 Information Visualization. (n.d.). Retrieved August 11, 2014, from http://ivi.sagepub.com/ Information Visualization Journal (IVS), Palgrave - InfoVis:Wiki. (n.d.). Retrieved August 11, 2014, from http://infovis-wiki.net/index.php?title=Information_Visualization_Journal_(IVS)%2C_Palgrave International Journal of Image Processing and Data Visualization(IJIPDV). (n.d.). Retrieved August 11, 2014, from http://iartc.net/index.php/Visualization JoSS: Journal of Social Structure. (n.d.). Retrieved August 11, 2014, from http://www.cmu.edu/joss/content/articles/volume7/deMollMcFarland/ Journal of Cheminformatics | All articles. (n.d.). Retrieved August 11, 2014, from http://www.jcheminf.com/content Journal of Cheminformatics | Article collections | Semantic physical science. (n.d.). Retrieved August 11, 2014, from http://www.jcheminf.com/series/semantic_physical_science_2012 Journal of Flow Control,Measurement & Visualization_Biomedical & Life Sciences | Engineering_ Journals_SCIRP. (n.d.). Retrieved August 11, 2014, from http://www.scirp.org/journal/JFCMV/ Journal of Flow Visualization and Image Processing. (n.d.). Retrieved August 11, 2014, from http://www.begellhouse.com/journals/flow-visualization-and-image-processing.html Journal of Visualization - Springer. (n.d.). Retrieved August 11, 2014, from http://link.springer.com.libaccess.lib.mcmaster.ca/journal/12650 Journal visualization project benefits from new changes. (n.d.). Retrieved from http://editorsupdate.elsevier.com/short-communications/journal-visualization-project-benefits-from-new-changes/ Parsons Journal for Information Mapping. (n.d.). Retrieved August 11, 2014, from http://piim.newschool.edu/journal/ Review of the Journal Information Visualization. (n.d.). Retrieved August 11, 2014, from http://dlib.org/dlib/september03/09journalreview.html Sanders, B. C., Senden, T., & Springel, V. (2008). FOCUS ON VISUALIZATION IN PHYSICS. //New Journal of Physics//, //10//(12), 125001. doi:10.1088/1367-2630/10/12/125001 Stark, C. (n.d.). Libguides. BUSN - Data Visualization. Books & Journals. Retrieved August 11, 2014, from http://libguides.ucalgary.ca/content.php?pid=546112&sid=4495781 Visual Resources. (n.d.). Retrieved August 26, 2014, from http://journals1.scholarsportal.info.libaccess.lib.mcmaster.ca/browse/01973762/v29i1-2 Visualization in Engineering - a SpringerOpen journal. (n.d.). Retrieved August 11, 2014, from http://www.springer.com/engineering/mechanical+engineering/journal/40327 well-formed.eigenfactor.org : Visualizing information flow in science. (n.d.). Retrieved August 11, 2014, from http://well-formed.eigenfactor.org/

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