PKU Visualization

Original link: http://vis.pku.edu.cn/blog/%E6%9A%91%E6%9C%9F%E5%AD%A6%E6%A0%A1%E8%AF%BE%E7% A8%8B%E8%AE%BE%E8%AE%A1%E4%BD%9C%E5%93%81-%E6%98%A5%E7%A7%8B%E6%88%98%E5%9B %BD%E6%97%B6%E6%9C%9F%E5%9B%BD%E5%AE%B6%E9%97%B4%E6%88%98%E4%BA%89/ The Spring and Autumn Period and the Warring States Period was a period of great division in Chinese history. During this period, more than 100 vassal states appeared one after another. There were constant disputes between the vassal states and between the vassal states and the surrounding ethnic minorities. The […]

Original link: http://vis.pku.edu.cn/blog/abcatalog/ The history of book classification in China has a long history. The official catalogue in the early Tang Dynasty, Sui Shu·Jingjizhi, was the first catalogue to formally use the four-part classification method of “Jing, Shi, Zi, Ji”. In addition to “Sui Shu·Jingji Zhi”, “Old Tang Shu·Jingji Zhi”, “New Tang Shu·Yiwen Zhi”, and

Original link: http://vis.pku.edu.cn/blog/visclass/ In the era of big data, the amount of various types of information data increases exponentially, and efficient and intuitive technical methods are urgently needed for the analysis and processing of massive and complex data. Visualization and visual analysis technology is based on the laws of human perception and cognition, and effectively

Original link: http://vis.pku.edu.cn/blog/datavis2022/ In the face of surging data in the era of big data, how to analyze data intuitively and efficiently, gain insight into subtleties, and make decisions thousands of miles away has become the key to grasping opportunities. Visualization and visual analysis technology can effectively combine human cognitive ability and machine computing ability,

Original link: http://vis.pku.edu.cn/blog/%E6%9A%91%E6%9C%9F%E5%AD%A6%E6%A0%A1%E8%AF%BE%E7% A8%8B%E8%AE%BE%E8%AE%A1%E4%BD%9C%E5%93%81-%E4%B8%AD%E5%9B%BD%E6%97%A9%E6%9C %9F%E5%88%BB%E7%94%BB%E7%AC%A6%E5%8F%B7%E5%88%86%E5%B8%83/ Foreword : Since its establishment in 2009, the Peking University Visual Development Frontier Postgraduate Summer School has long been committed to cultivating young visual talents at home and abroad. The thirteenth summer school will be held from July 11 to 24, 2022. The course design is completed by students from

Original link: http://vis.pku.edu.cn/blog/%E7%AC%AC%E5%8D%81%E4%B8%89%E6%9C%9F%E5%8C%97%E4% BA%AC%E5%A4%A7%E5%AD%A6%E5%8F%AF%E8%A7%86%E5%8C%96%E5%8F%91%E5%B1%95%E5%89% 8D%E6%B2%BF%E7%A0%94%E7%A9%B6%E7%94%9F%E6%9A%91%E6%9C%9F%E5%AD%A6%E6%A0%A1/ From July 11th to 24th, 2022, the 13th Peking University Visual Development Frontier Postgraduate Summer School was successfully held. This year’s summer school invites a number of well-known scholars with profound accomplishments in the field of visualization research at home and abroad to systematically teach and discuss cutting-edge theories and

Original link: http://vis.pku.edu.cn/blog/chi2022-ditl/ When doing data analysis, researchers need to transform, cluster or filter the data to make the data meet the needs of the analysis task. During this process, not only the code that handles the data will change, but the data itself will also change. However, existing tools track code changes during processing,

Original link: http://vis.pku.edu.cn/blog/crossdata-%E5%88%A9%E7%94%A8%E6%96%87%E5%AD%97%E5%92%8C% E6%95%B0%E6%8D%AE%E4%B9%8B%E9%97%B4%E7%9A%84%E5%85%B3%E8%81%94crossdata-leveraging-text-data-connections- for-authoring-data-documents/ Researchers often use data files to document the various discoveries they make during data exploration. While there are quite a few tools available for data exploration, there are still very few tools to aid in data documentation. Researchers still need to manually record and maintain data files. At the same

Original link: http://vis.pku.edu.cn/blog/%E5%A4%9A%E8%A7%86%E5%9B%BE%E5%8F%AF%E8%A7%86%E5% 8C%96%E8%AE%BE%E8%AE%A1%E7%9A%84%E5%BC%95%E5%AF%BC%E5%BC%8F%E8%AF%AD%E4%B9% 89%E6%8D%95%E6%8D%89%EF%BC%88semantic-snapping-for-guided-multi-view-visuali/ Figure 1: Semantic snapping guides user interaction to modify a multi-view visualization design Visual information displays typically consist of multiple visualizations used to facilitate understanding of the data. However, non-expert users can create misleading or other questionable results when designing multi-view visualizations due to lack of expertise in visualization design.

Original link: http://vis.pku.edu.cn/blog/%E4%BD%A0%E6%98%8E%E7%99%BD%E4%BD%A0%E7%9A%84%E6% 84%8F%E6%80%9D%E5%90%97%EF%BC%9F%E4%BD%BF%E7%94%A8%E9%A2%84%E6%B5%8B%E5%8F% AF%E8%A7%86%E5%8C%96%E9%99%8D%E4%BD%8E%E5%AF%B9%E6%97%B6%E9%97%B4%E4%BC%B0/ In everyday life, people tend to give an optimistic, lower-than-realistic estimate when estimating the duration of a task, even when they have relevant experience. This phenomenon is known in psychology as the Planning Fallacy. This paper proposes a hybrid approach to help people mitigate planning fallacy and give more accurate

Original link: http://vis.pku.edu.cn/blog/2022summerschool/ The 13th 2022 Peking University Visual Development Frontier Postgraduate Summer School will be held online from July 12 to 20. In the summer, well-known scholars at home and abroad with profound attainments in the field of visualization research were invited to systematically discuss the cutting-edge theories and research methods in this field

Original link: http://vis.pku.edu.cn/blog/computableviz/ With the increased availability and popularity of visualization authoring tools, a large number of visualizations have been produced and shared on the web. Following visualization generation and digitization, there has been a growing research interest in exploring techniques for processing and analyzing visualizations. For example, researchers have begun to study the problems

Original link: http://vis.pku.edu.cn/blog/integrated-dual-analysis-of-quantitative-and-qualitative-high-dimensional-data/ Dual space analysis is an advanced high-dimensional data analysis method. It contains a dimension space and a data item space, and the user’s operations in one space will be reflected in the other space, so that users can explore them at the same time, and jointly study the structure of the dimension