Literature DB >> 19834180

Protovis: a graphical toolkit for visualization.

Michael Bostock1, Jeffrey Heer.   

Abstract

Despite myriad tools for visualizing data, there remains a gap between the notational efficiency of high-level visualization systems and the expressiveness and accessibility of low-level graphical systems. Powerful visualization systems may be inflexible or impose abstractions foreign to visual thinking, while graphical systems such as rendering APIs and vector-based drawing programs are tedious for complex work. We argue that an easy-to-use graphical system tailored for visualization is needed. In response, we contribute Protovis, an extensible toolkit for constructing visualizations by composing simple graphical primitives. In Protovis, designers specify visualizations as a hierarchy of marks with visual properties defined as functions of data. This representation achieves a level of expressiveness comparable to low-level graphics systems, while improving efficiency--the effort required to specify a visualization--and accessibility--the effort required to learn and modify the representation. We substantiate this claim through a diverse collection of examples and comparative analysis with popular visualization tools.

Year:  2009        PMID: 19834180     DOI: 10.1109/TVCG.2009.174

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


  12 in total

1.  Scribl: an HTML5 Canvas-based graphics library for visualizing genomic data over the web.

Authors:  Chase A Miller; Jon Anthony; Michelle M Meyer; Gabor Marth
Journal:  Bioinformatics       Date:  2012-11-19       Impact factor: 6.937

2.  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

3.  Reconsidering the Device in the Drawer: Lapses as a Design Opportunity in Personal Informatics.

Authors:  Daniel A Epstein; Jennifer H Kang; Laura R Pina; James Fogarty; Sean A Munson
Journal:  Proc ACM Int Conf Ubiquitous Comput       Date:  2016-09-12

4.  Helium: visualization of large scale plant pedigrees.

Authors:  Paul D Shaw; Martin Graham; Jessie Kennedy; Iain Milne; David F Marshall
Journal:  BMC Bioinformatics       Date:  2014-08-01       Impact factor: 3.169

5.  diArk 2.0 provides detailed analyses of the ever increasing eukaryotic genome sequencing data.

Authors:  Björn Hammesfahr; Florian Odronitz; Marcel Hellkamp; Martin Kollmar
Journal:  BMC Res Notes       Date:  2011-09-09

6.  iCanPlot: visual exploration of high-throughput omics data using interactive Canvas plotting.

Authors:  Amit U Sinha; Scott A Armstrong
Journal:  PLoS One       Date:  2012-02-29       Impact factor: 3.240

7.  Methods for visual mining of genomic and proteomic data atlases.

Authors:  John Boyle; Richard Kreisberg; Ryan Bressler; Sarah Killcoyne
Journal:  BMC Bioinformatics       Date:  2012-04-23       Impact factor: 3.169

8.  What Google Maps can do for biomedical data dissemination: examples and a design study.

Authors:  Radu Jianu; David H Laidlaw
Journal:  BMC Res Notes       Date:  2013-05-04

9.  POMO--Plotting Omics analysis results for Multiple Organisms.

Authors:  Jake Lin; Richard Kreisberg; Aleksi Kallio; Aimée M Dudley; Matti Nykter; Ilya Shmulevich; Patrick May; Reija Autio
Journal:  BMC Genomics       Date:  2013-12-24       Impact factor: 3.969

10.  BioTapestry now provides a web application and improved drawing and layout tools.

Authors:  Suzanne M Paquette; Kalle Leinonen; William J R Longabaugh
Journal:  F1000Res       Date:  2016-01-08
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