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Visualización de datos: caminos de ida y vuelta entre arte y ciencia en la producción y consumo de imágenes

    1. [1] Universidad de Salamanca

      Universidad de Salamanca

      Salamanca, España

  • Localización: Fonseca, Journal of Communication, ISSN-e 2172-9077, Nº. 23, 2021 (Ejemplar dedicado a: Interacciones entre las prácticas audiovisuales del arte y la ciencia; I-II), págs. 39-60
  • Idioma: español
  • DOI: 10.14201/fjc2021233960
  • Títulos paralelos:
    • Data visualization: pathways between art and science in the production and consumption of images
  • Enlaces
  • Resumen
    • español

      El análisis de datos ha recurrido a la representación visual para encontrar u ofrecer explicaciones desde sus orígenes. Las capacidades de almacenamiento y procesamiento no han parado de crecer gracias al avance de la computación. Paralelamente, gracias a una democratización tecnológica, las contribuciones artísticas en la visualización de datos se han multiplicado, aportando nuevas formas creativas y planteamientos diferentes a los propios de la ciencia. Este artículo analiza las influencias recíprocas entre las artes y las ciencias en torno a las visualizaciones de datos. Se traza una visión panorámica de la Visualización de Datos mediante un análisis de la dedicación en las diversas disciplinas a este tema de estudio recogido en las principales bases de datos bibliográficas, así como de la creciente comunidad de práctica que acoge en la actualidad a científicos, diseñadores, artistas y otros perfiles profesionales. A través de una serie de ejemplos históricos que van desde la prehistoria hasta la actualidad, se ponen de manifiesto diversas líneas de influencia en las que arte y ciencia han propiciado avances en la comunicación de fenómenos o el planteamiento de preguntas a partir de los datos. Finalmente, se ofrecen unas reflexiones sobre los retos que afronta la Visualización de Datos y las oportunidades que de ellos se derivan.

    • English

      Since its origins, data analysis has turned to visual representation to find and offer explanations. Storage and processing capacities are steadily growing thanks to the advancement of computing. At the same time, thanks to technological democratization, artistic contributions in data visualization have multiplied, providing new creative forms and different approaches from those of science. This article looks at the reciprocal influences between the arts and sciences around data visualizations. We present a panoramic view of Data Visualization through an analysis of both the dedication in the various disciplines to this topic collected in the primary bibliographic databases and the growing community of practice that currently welcomes scientists, designers, artists and other professional profiles. Through a series of historical examples ranging from prehistory to the present, we discuss various lines of influence in which art and science have led to advances in the communication of phenomena or the posing of questions based on data. Finally, we offer some reflections on the challenges that Data Visualization faces and the opportunities derived from them.

  • Referencias bibliográficas
    • Antequera Congregado, L. (2001). Arte y astronomía: Evolución de los dibujos de las constelaciones. Madrid, España: Universidad Complutense...
    • Araya, V. P., Xue, T., Pietriga, E., Amsaleg, L., y Bezerianos, A. (2021). HyperStorylines: Interactively untangling dynamic hypergraphs....
    • Azzam, T., Evergreen, S., Germuth, A. A., y Kistler, S. J. (2013). Data visualization and evaluation. New Directions for Evaluation, 2013(139),...
    • Best, R. (2018). The Migration of Art: Exploring Art’s History of Movement. Recuperado de https://ryanabest.com/work/MigrationOfArt/
    • Börner, K., Bueckle, A., y Ginda, M. (2019). Data visualization literacy: Definitions, conceptual frameworks, exercises, and assessments....
    • Bounegru, L., Chambers, L., y Gray, J. (2012). The data journalism handbook. Sebastopol, EE.UU.: O’reilly.
    • Bremer, N., y Wu, S. (2021). Data Sketches: A journey of imagination, exploration, and beautiful data visualizations. Natick, MA, EE.UU.:...
    • Brodlie, K., Osorio, R. A., y Lopes, A. (2012). A review of uncertainty in data visualization. Expanding the frontiers of visual analytics...
    • Cairo, A. (2016). The truthful art: Data, charts, and maps for communication. San Francisco, EE.UU.: New Riders.
    • Cairo, A. (2020). Foreword: The dawn of a philosophy of visualization. En Data visualization in society (pp. 17-18). Amsterdam, Holanda: Amsterdam...
    • Cavaller, V. (2021). Dimensional Taxonomy of Data Visualization: A Proposal From Communication Sciences Tackling Complexity. Frontiers in...
    • Chen, C., Härdle, W. K., y Unwin, A. (2007). Handbook of data visualization. Berlín, Alemania: Springer Science and Business Media.
    • Chen, T., Lu, A., y Hu, S.-M. (2012). Visual storylines: Semantic visualization of movie sequence. Computers & Graphics, 36(4), pp. 241-249....
    • Chittaro, L. (2001). Information visualization and its application to medicine. Artificial Intelligence in Medicine, 22(2), pp. 81-88. doi:10.1016/S0933-3657(00)00101-9
    • Crameri, F., Shephard, G. E., y Heron, P. J. (2020). The misuse of colour in science communication. Nature communications, 11(1), pp. 1-10....
    • Daston, L., y Galison, P. (1992). The image of objectivity. Representations, 40, pp. 81-128.
    • Data Visualization Society. (2020). Data Visualization Society Strategic Plan 2020. Data Visualization in the Mainstream. Data Visualization...
    • D’Ignazio, C. (2017). Creative data literacy: Bridging the gap between the data-haves and datahave nots. Information Design Journal, 23(1),...
    • Dimara, E., y Perin, C. (2019). What is interaction for data visualization? IEEE transactions on visualization and computer graphics, 26(1),...
    • Edgerton Jr., S. Y. (1984). Galileo, Florentine «disegno,» and the «strange spottednesse» of the moon. Art Journal, 44(3), pp. 225-232.
    • Friendly, M. (2002). Visions and re-visions of Charles Joseph Minard. Journal of Educational and Behavioral Statistics, 27(1), pp. 31-51.
    • Friendly, M. (2005). Milestones in the history of data visualization: A case study in statistical historiography. En Classification–The Ubiquitous...
    • Friendly, M. (2008). A Brief History of Data Visualization. En Handbook of Data Visualization (pp. 15-56). Berlín, Alemania: Springer. doi:...
    • Friendly, M., y Wainer, H. (2021). A History of Data Visualization and Graphic Communication. Cambridge, MA, EE.UU.: Harvard University Press.
    • García-Sánchez, F., Isla, J. G., Therón, R., y Casado-Lumbreras, C. (2019). Assessing Visual Literacy in the Consumers of New Technologies:...
    • Gómez-Isla, J. (2013). Arte, documento y discurso audiovisual: Entre la imagen de la ciencia y la ciencia de la imagen. En En J. Gómez-Isla...
    • Johnson, R. A., y Bhattacharyya, G. K. (2019). Statistics: Principles and methods. Hoboken, EE.UU.: John Wiley & Sons.
    • Kirk, A. (2012). Data Visualization: A successful design process. Birmingham, Reino Unido: Packt publishing LTD.
    • Knaflic, C. N. (2015). Storytelling with data: A data visualization guide for business professionals. Hoboken, EE.UU.: John Wiley & Sons.
    • Kosara, R. (2007). Visualization Criticism–The Missing Link Between Information Visualization and Art. 2007 11th International Conference...
    • Lauer, D. A., y Pentak, S. (2011). Design basics. Boston, EE.UU.: Cengage Learning.
    • Levin, G., y Brain, T. (2021). Code as Creative Medium: A Handbook for Computational Art and Design. Cambridge, MA,EE. UU.: MIT Press.
    • Li, Q. (2018). Data visualization as creative art practice. Visual Communication, 17(3), pp. 299312. doi:10.1177/1470357218768202
    • Marchese, C. (2021). Information Design for the Common Good: Human-centric Approaches to Contemporary Design. Bloomsbury Visual Arts.
    • Marshack, A. (1972). The roots of civilization: The cognitive beginnings of man’s first art, symbol and notation. Londres, Reino Unido: Weidenfeld...
    • Martín-Martín, A., Thelwall, M., Orduna-Malea, E., y López-Cózar, E. D. (2021). Google Scholar, Microsoft Academic, Scopus, Dimensions, Web...
    • Masud, L., Valsecchi, F., Ciuccarelli, P., Ricci, D., y Caviglia, G. (2010). From data to knowledgevisualizations as transformation processes...
    • McCandless, D. (2012). Information is beautiful. Londres, Reino Unido: Collins.
    • McCandless, D. (2014). Knowledge is beautiful. Londres, Reino Unido: William Collins.
    • Meirelles, I. (2013). Design for information: An introduction to the histories, theories, and best practices behind effective information...
    • Meyer, M. (2013). Designing Visualizations For Biological Data. Leonardo, 46(3), pp. 270-271. doi:10.1162/LEON_a_00568
    • Munroe, R. (2009). Xkcd# 657: Movie narrative charts.
    • Munzner, T. (2002). Information visualization. IEEE Computer graphics and applications, 22(1), pp. 20-21. doi:10.1109/MCG.2002.974514
    • Ogawa, M., y Ma, K.-L. (2010). Software evolution storylines. Proceedings of the 5th international symposium on Software visualization, pp....
    • Olshannikova, E., Ometov, A., Koucheryavy, Y., y Olsson, T. (2015). Visualizing Big Data with augmented and virtual reality: Challenges and...
    • Padia, K., Bandara, K. H., y Healey, C. G. (2018). A system for generating storyline visualizations using hierarchical task network planning....
    • Parsons, M. A., Godøy, Ø., LeDrew, E., De Bruin, T. F., Danis, B., Tomlinson, S., y Carlson, D. (2011). A conceptual framework for managing...
    • Quispel, A., Maes, A., y Schilperoord, J. (2018). Aesthetics and clarity in information visualization: The designer’s perspective. Arts, 7(4),...
    • REAL ACADEMIA ESPAÑOLA. (s. f.). Visualizar. En Diccionario de la lengua española (23.a ed.[versión 23.4 en línea].). Recuperado de https://dle.rae.es.
    • Rendgen, S. (2018). The minard system: The complete statistical graphics of Charles-Joseph Minard. San Francisco, CA, EE.UU.: Chronicle Books.
    • Rendgen, S. (2019, marzo 15). Historical Infographics: From Paris with Love. Recuperado de https://sandrarendgen.wordpress.com/2019/03/15/data-trails-from-paris-with-love/
    • Robinson, A. H. (1955). The 1837 maps of henry drury harness. The Geographical Journal, 121(4), pp. 440-450. doi:10.2307/1791753
    • Robinson, A. H. (1967). The thematic maps of Charles Joseph Minard. Imago Mundi, 21(1), pp. 95-108. doi:10.1080/03085696708592302
    • Rosenberg, D. (2005). Against Infographics. Art Journal, 74(4). http://artjournal.collegeart. org/?p=6993
    • Schwabish, J. (2021). Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks. Nueva York, EE.UU.: Columbia University Press.
    • Sorensen, V. (1989). The Contribution of the Artist to Scientific Visualization. School of Film and Video, California Institute of the Arts....
    • Tanahashi, Y., y Ma, K.-L. (2012). Design considerations for optimizing storyline visualizations. Visualization and Computer Graphics, IEEE...
    • Tang, T., Li, R., Wu, X., Liu, S., Knittel, J., Koch, S., Yu, L., Ren, P., Ertl, T., y Wu, Y. (2020). Plotthread: Creating expressive storyline...
    • Tang, T., Rubab, S., Lai, J., Cui, W., Yu, L., y Wu, Y. (2018). iStoryline: Effective convergence to hand-drawn storylines. IEEE transactions...
    • Taws, R. (2021). Death from Above in Minard’s Napoleon Map. Grey Room, 83, pp. 82-111. doi:10.1162/grey_a_00321
    • Theron, R., y Padilla, L. M. (2021). Editorial: Uncertainty Visualization and Decision Making. Frontiers in Computer Science, 3, pp. 85. doi:10.3389/fcomp....
    • Thrower, N. J. (2008). Maps and civilization: Cartography in culture and society. Chicago, IL, EE.UU.: University of Chicago Press.
    • Tufte, E. R. (1983). The visual display of quantitative information (2). Cheshire, CT, EE.UU.: Graphics Press.
    • Tufte, E. R. (1997). Visual explanations. Cheshire, CT, EE.UU.: Graphics Press.
    • Tufte, E. R. (2006). Beautiful evidence (1). Cheshire, CT, EE.UU.: Graphics Press.
    • Valero Sancho, J. L. (2014). La visualización de datos. Ámbitos: Revista Internacional de Comunicación, 25, pp. 1-14.
    • van Dijk, T. C., Lipp, F., Markfelder, P., y Wolff, A. (2017). Computing Storyline Visualizations with Few Block Crossings. Graph Drawing...
    • Vertesi, J. (2007). Picturing the moon: Hevelius’s and Riccioli’s visual debate. Studies in History and Philosophy of Science Part A, 38(2),...
    • Viégas, F. B., y Wattenberg, M. (2007). Artistic data visualization: Beyond visual analytics. International Conference on Online Communities...
    • Ward, M. O., Grinstein, G., y Keim, D. (2010). Interactive data visualization: Foundations, techniques, and applications. Boca Raton, FL,...
    • Ware, C. (2019). Information visualization: Perception for design (Fourth edition). Burlington, MA, EE.UU.: Morgan Kaufmann.
    • Wenger, E., McDermott, R. A., y Snyder, W. (2002). Cultivating communities of practice: A guide to managing knowledge. Cambridge, MA, EE....
    • Whitaker, E. A. (2003). Mapping and naming the moon: A history of lunar cartography and nomenclature. Cambridge, Reino Unido: Cambridge University...
    • Wickham, H. (2010). A layered grammar of graphics. Journal of Computational and Graphical Statistics, 19(1), pp. 3-28.
    • Wilkinson, L. (2005). The grammar of graphics (2.a ed.). Nueva York, EE.UU.: Springer-Verlag.
    • Wright, R. (2008). Data visualization. Software Studies: a lexicon, 209, pp. 78.
    • Yau, N. (2013). Data points: Visualization that means something. Hoboken, NJ, EE.UU.: John Wiley & Sons.
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