Visualization Resources: A Starting Point

Authors: Liu, X., Alharbi, M., Best, J., Chen, J., Diehl, A., Firat, E., Rees, D., Wang, Q. and Laramee, R.S.

Journal: Proceedings of the International Conference on Information Visualisation

Volume: 2021-July

Pages: 160-169

ISBN: 9781665438278

ISSN: 1093-9547

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.

https://eprints.bournemouth.ac.uk/38078/

Source: Scopus

Visualization Resources: A Starting Point

Authors: Liu, X., Alharbi, M., Best, J., Chen, J., Diehl, A., Firat, E., Rees, D., Wang, Q. and Laramee, R.S.

Journal: 2021 25TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV): AI & VISUAL ANALYTICS & DATA SCIENCE

Pages: 160-169

eISSN: 2375-0138

ISSN: 1550-6037

DOI: 10.1109/IV53921.2021.00034

https://eprints.bournemouth.ac.uk/38078/

Source: Web of Science (Lite)

Visualization Resources: A Starting Point

Authors: Liu, X., Alharbi, M., Best, J., Chen, J., Diehl, A., Firat, E., Rees, D., Wang, Q. and Laramee, R.S.

Editors: Gurrola, J.

Pages: 160-169

Publisher: IEEE

Place of Publication: New York, NY: USA

ISBN: 9781665438278

ISSN: 1093-9547

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.

https://eprints.bournemouth.ac.uk/38078/

Source: BURO EPrints