论文标题
网络上的topcat可视化
TOPCAT Visualisation over the Web
论文作者
论文摘要
桌面GUI目录分析工具TopCat及其命令行的高跷提供了其他功能，可视觉探索包含数百万行或更多行的本地存储桌子。他们提供了许多关于散点图，密度图和直方图的主题的变化，这些主题可以交互作用。这些功能现在已扩展到客户端服务器模型，以便可以在数据存储附近运行绘图服务器，并且远程轻型HTML/JavaScript客户端可以根据该数据配置和与图进行配置和交互。交互可以包括锅/缩放/旋转导航，识别各个点以及潜在的子集选择。由于只有像素而不将行数据传输到客户端，因此可以在相对较低的带宽下灵活对大型桌子的远程视觉探索。 Web客户端可以请求TopCat/Stilts可用的任何绘图选项。可能的应用程序包括基于Web的可视化静态数据集的可视化，无法传输无法传输的静态数据集，存档搜索结果的可视性预览，用于复杂数据集的服务配置的图阵列以及将本地或远程表的可视化嵌入jupyter Notebook中。
The desktop GUI catalogue analysis tool TOPCAT, and its command-line counterpart STILTS, offer among other capabilities visual exploration of locally stored tables containing millions of rows or more. They offer many variations on the theme of scatter plots, density maps and histograms, which can be navigated interactively. These capabilities have now been extended to a client-server model, so that a plot server can be run close to the data storage, and remote lightweight HTML/JavaScript clients can configure and interact with plots based on that data. The interaction can include pan/zoom/rotate navigation, identifying individual points, and potentially subset selection. Since only the pixels and not the row data are transmitted to the client, this enables flexible remote visual exploration of large tables at relatively low bandwidth. The web client can request any of the plot options available from TOPCAT/STILTS. Possible applications include web-based visualisations of static datasets too large to transmit, visual previews of archive search results, service-configured arrays of plots for complex datasets, and embedding visualisations of local or remote tables into Jupyter notebooks.
