CSCV - Computer Supported Collaborative Visualization

CSCV - Computer Supported Collaborative Visualization
复制标题

CSCV - 计算机支持的协作可视化

DOI:
--
复制
发表时间:
2000
期刊:
影响因子:
--
通讯作者:
K. Brodlie
K. Brodlie
中科院分区:
--
文献类型:
--
作者:
J. Wood;H. Wright;K. Brodlie

文献摘要

被引文献

相似文献

协作在可视化中很重要:重大科学发现通常是大型研究团队的工作,而不是单个科学家的工作。这些团队需要可视化工具,允许不同的成员(可能在不同的地点)共同调查模拟或实验的结果。然而,当前的可视化系统是建立在单个工作者的基础上的:任何协作都必须通过围绕单个工作站的集群来完成。本文描述了在COVISA项目下在利兹开展的工作。我们展示了Haber和McNabb的过滤器-地图-渲染管道参考模型如何扩展到一个强大的协作可视化模型,在这个模型中,科学家可以各自构建自己的管道,但共享数据和参数。然后,它充当协作模块化可视化环境的实现模型。实际上,我们已经以这种方式开发了IRIS Explorer的扩展,允许两位科学家在可视化上一起工作。
Collaboration is important in visualization: major scientific discoveries are typically the work of large research teams, not the solitary scientist. These teams need visualization tools that allow the different members, perhaps at different sites, to investigate collectively the results of a simulation or experiment. Yet current visualization systems are modelled on the solo worker: any collaboration must be done by clustering around a single workstation. This paper describes work carried out at Leeds under the COVISA project. We show how the Haber and McNabb reference model of filter-map-render pipeline can be extended to a powerful model for collaborative visualization, where scientists may each construct their own pipeline, but share data and parameters. This acts then as an implementation model for a collaborative modular visualization environment. Indeed we have developed an extension to IRIS Explorer in this way, allowing two scientists to work together on a visualization.