可视化资源:综述

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Information Visualization Pub Date : 2023-01-01 DOI:10.1177/14738716221126992
Xiaoxiao Liu, Mohammad Alharbi, Jing Chen, A. Diehl, Dylan Rees, Elif E. Firat, Qiru Wang, R. Laramee
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引用次数: 2

摘要

可视化是研究人员、从业者和高等教育机构的一个充满活力的领域,它正在迅速发展。自1987年以来,已经取得了巨大的进展,这一年经常被认为是数据可视化作为一个独特领域的开始。因此,可视化资源的数量和对这些资源的需求正在快速增长。经过长达数十年的搜索过程,我们为所有对交互式数据可视化和视觉分析感兴趣的人提供了一份开放可视化资源调查。由于资源的数量如此之多,我们专注于资源的收集,其中已经有很多了,从文献收集到从业者资源的收集。基于此,我们开发了可视化资源集合的分类,重点关注资源类型,例如基于文献、基于网络、以开发人员为中心和专题。其结果是对许多有用资源的需求进行了概述和详细说明。该系列为那些从各种背景寻找数据可视化资源的人提供了一个宝贵的起点,从初学者(如学生)到希望创建自己的高级或新颖视觉设计的教师、从业者、开发人员和研究人员。这篇论文是对学生和其他经常要求提供可视化资源的人的回应。
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Visualization Resources: A Survey
Visualization, 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.
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来源期刊
Information Visualization
Information Visualization COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.40
自引率
0.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. This journal is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications. The journal is a core vehicle for developing a generic research agenda for the field by identifying and developing the unique and significant aspects of information visualization. Emphasis is placed on interdisciplinary material and on the close connection between theory and practice. This journal is a member of the Committee on Publication Ethics (COPE).
期刊最新文献
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