Pixualization: Glitch art and Data visualization





Data visualization, pixel sorting, data bending, photography, experimental visualization


Due to their trans-modal affordances, techniques mainly used for the production of glitch art such as pixel sorting and data-bending are potential data visualization tools that can be effectively adapted to the representation of abstract relations. To demonstrate this assertion, we present a method intended for the visualization of data through these techniques. The method presented here consists in sorting the composite pixels of greyscale images to make evident relationships between pixels that otherwise would be impossible to perceive. Here, we use this method to arrange an array of images in a very specific order, but this is only one of the potential applications that this method could have.


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Biografia do Autor

Ernesto Peña, University of British Columbia

Information Designer and Ph.D. Candidate in Language and Literacy Education at the University of British Columbia. His research interests include Information Design, Digital Humanities, Semiotics, Rhetoric and Visual Literacy.

Teresa M. Dobson, University of British Columbia

Teresa M. Dobson is Professor in the Department of Language and Literacy Education at the University of British Columbia. Her research interests include literary and literacy education, digital literacy, and digital humanities. Her work in the digital humanities includes collaborating with teams of interdisciplinary scholars in the development of prototypical browsing interfaces for text visualization.

Omar Juárez, Independent developer

Omar is a software developer based in Vancouver, British Columbia. His work has involved him in Information Design and Digital Humanities projects.




Como Citar

Peña, E., Dobson, T. M., & Juárez, O. (2017). Pixualization: Glitch art and Data visualization. InfoDesign - Revista Brasileira De Design Da Informação, 14(1), 89–105. https://doi.org/10.51358/id.v14i1.502