Visualization Resources: A Survey

dc.contributor.authorLiu, Xiaoxiao
dc.contributor.authorAlharbi, Mohammad S
dc.contributor.authorChen, Jian
dc.contributor.authorDiehl, Alexandra
dc.contributor.authorRees, Dylan
dc.contributor.authorFirat, Elif E
dc.contributor.authorWang, Qiru
dc.contributor.authorLaramee, Robert S
dc.date.accessioned2022-12-14T15:56:31Z
dc.date.available2022-12-14T15:56:31Z
dc.date.issued2022-11-09
dc.description.abstractVisualization, 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 is increasing at a rapid pace. After a decades-equivalent long search process, we present a survey 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 many ranging from literature collections to collections of practitioner resources. Based on this, we develop a classification of visualization resource collections with a focus on the resource type, e.g. literature-based, web-based, developer focused and special topics. The result is an 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, developers, and researchers wishing to create their own advanced or novel visual designs. This paper is a response to students and others who frequently ask for visualization resources available to them.en
dc.description.sponsorshipThis research is supported in part by the Engineering and Physical Sciences Resource Council (EPSRC EP/S010238/1 and EP/S010238/2).en
dc.description.urihttps://journals.sagepub.com/doi/10.1177/14738716221126992en
dc.format.extent28 pagesen
dc.genrejournal articlesen
dc.identifierdoi:10.13016/m2okwe-wpyf
dc.identifier.citationLiu, X., Alharbi, M. S., Chen, J., Diehl, A., Rees, D., Firat, E. E., Wang, Q., & Laramee, R. S. (2022). Visualization Resources: A Survey. Information Visualization, 0(0). https://doi.org/10.1177/14738716221126992en
dc.identifier.urihttps://doi.org/10.1177/14738716221126992
dc.identifier.urihttp://hdl.handle.net/11603/26445
dc.language.isoenen
dc.publisherSageen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.titleVisualization Resources: A Surveyen
dc.typeTexten
dcterms.creatorhttps://orcid.org/0000-0002-1599-0831en

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