Literature DB >> 17080809

Software design patterns for information visualization.

Jeffrey Heer1, Maneesh Agrawala.   

Abstract

Despite a diversity of software architectures supporting information visualization, it is often difficult to identify, evaluate, and re-apply the design solutions implemented within such frameworks. One popular and effective approach for addressing such difficulties is to capture successful solutions in design patterns, abstract descriptions of interacting software components that can be customized to solve design problems within a particular context. Based upon a review of existing frameworks and our own experiences building visualization software, we present a series of design patterns for the domain of information visualization. We discuss the structure, context of use, and interrelations of patterns spanning data representation, graphics, and interaction. By representing design knowledge in a reusable form, these patterns can be used to facilitate software design, implementation, and evaluation, and improve developer education and communication.

Mesh:

Year:  2006        PMID: 17080809     DOI: 10.1109/TVCG.2006.178

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  4 in total

1.  Integration and visualization of systems biology data in context of the genome.

Authors:  J Christopher Bare; Tie Koide; David J Reiss; Dan Tenenbaum; Nitin S Baliga
Journal:  BMC Bioinformatics       Date:  2010-07-19       Impact factor: 3.169

2.  Leveraging domain knowledge to facilitate visual exploration of large population datasets.

Authors:  William Hsu; Alex A T Bui
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

3.  SOCRAT Platform Design: A Web Architecture for Interactive Visual Analytics Applications.

Authors:  Alexandr A Kalinin; Selvam Palanimalai; Ivo D Dinov
Journal:  Proc 2nd Workshop Hum Loop Data Anal (2017)       Date:  2017-04

4.  Dimensional Taxonomy of Data Visualization: A Proposal From Communication Sciences Tackling Complexity.

Authors:  Victor Cavaller
Journal:  Front Res Metr Anal       Date:  2021-04-19
  4 in total

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