{"title":"用内部视图评价流场可视化","authors":"James W. Walker, Jun Ma, S. Kuhl, Chaoli Wang","doi":"10.1145/2492494.2501875","DOIUrl":null,"url":null,"abstract":"One popular area of research in data visualization is using streamlines to display flow fields, which depict the movement of fluids through a space. Most of the research to date has focused on external visualizations; that is, observing flow fields from outside the boundaries of the data set (e.g., Tao et al. [2013]). This research explores the efficacy of visualizing flow fields internally using an algorithm we developed to automatically compute paths through flow field interiors that provide a high degree of useful information.","PeriodicalId":102213,"journal":{"name":"Proceedings of the ACM Symposium on Applied Perception","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An evaluation of flow field visualization with internal views\",\"authors\":\"James W. Walker, Jun Ma, S. Kuhl, Chaoli Wang\",\"doi\":\"10.1145/2492494.2501875\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One popular area of research in data visualization is using streamlines to display flow fields, which depict the movement of fluids through a space. Most of the research to date has focused on external visualizations; that is, observing flow fields from outside the boundaries of the data set (e.g., Tao et al. [2013]). This research explores the efficacy of visualizing flow fields internally using an algorithm we developed to automatically compute paths through flow field interiors that provide a high degree of useful information.\",\"PeriodicalId\":102213,\"journal\":{\"name\":\"Proceedings of the ACM Symposium on Applied Perception\",\"volume\":\"105 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ACM Symposium on Applied Perception\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2492494.2501875\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM Symposium on Applied Perception","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2492494.2501875","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An evaluation of flow field visualization with internal views
One popular area of research in data visualization is using streamlines to display flow fields, which depict the movement of fluids through a space. Most of the research to date has focused on external visualizations; that is, observing flow fields from outside the boundaries of the data set (e.g., Tao et al. [2013]). This research explores the efficacy of visualizing flow fields internally using an algorithm we developed to automatically compute paths through flow field interiors that provide a high degree of useful information.