Liu, X., Alharbi, M., Best, J., Chen, J., Diehl, A., Firat, E., Rees, D., Wang, Q. and Laramee, R. S., 2021. Visualization Resources: A Starting Point. In: Gurrola, J., ed. 25th International Conference Information Visualisation (IV). New York, NY: USA: IEEE, 160-169.
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DOI: 10.1109/IV53921.2021.00034
Abstract
Visualization, as a vibrant field for researchers, practitioners, and higher educational institutions, is growing and evolving very rapidly. Tremendous progress has been made since 1987, the year often cited as the beginning of data visualization as a distinct field. As such, the number of visualization resources and the demand for those resources are increasing at a very fast pace. We present a collection of open visualization resources for all those with an interest in interactive data visualization and visual analytics. Because the number of resources is so large, we focus on collections of resources, of which there are already very many ranging from literature collections to collections of practitioner resources. We develop a novel classification of visualization resource collections based on the resource type, e.g. literature-based, web-based, etc. The result is a helpful overview and details-on-demand of many useful resources. The collection offers a valuable jump-start for those seeking out data visualization resources from all backgrounds spanning from beginners such as students to teachers, practitioners, and researchers wishing to create their own advanced or novel visual designs.
Item Type: | Book Section |
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ISBN: | 9781665438278 |
ISSN: | 1093-9547 |
Additional Information: | Date of Conference: 05-09 July 2021 ----- “© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.” |
Uncontrolled Keywords: | visualization resources; surveys |
Group: | Faculty of Media & Communication |
ID Code: | 38078 |
Deposited By: | Symplectic RT2 |
Deposited On: | 07 Aug 2023 13:29 |
Last Modified: | 28 Oct 2023 01:08 |
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