Anna Fredrikson, Chris North, C. Plaisant, B. Shneiderman
{"title":"Temporal, geographical and categorical aggregations viewed through coordinated displays: a case study with highway incident data","authors":"Anna Fredrikson, Chris North, C. Plaisant, B. Shneiderman","doi":"10.1145/331770.331780","DOIUrl":null,"url":null,"abstract":"Information visualization displays can hold a limited number of data points, typically a few thousand, before they get crowded. One way to solve this problem with larger data sets is to create aggregates. Aggregations were used together with the Snap-Together Visualization system to coordinate the visual displays of aggregates and their content. If two displays each hold one thousand items then rapid access and visibility can be maintained for a million points. This paper presents examples based on a database of highway incident data.","PeriodicalId":256851,"journal":{"name":"New Paradigms in Information Visualization and Manipulation","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"86","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"New Paradigms in Information Visualization and Manipulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/331770.331780","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 86
Abstract
Information visualization displays can hold a limited number of data points, typically a few thousand, before they get crowded. One way to solve this problem with larger data sets is to create aggregates. Aggregations were used together with the Snap-Together Visualization system to coordinate the visual displays of aggregates and their content. If two displays each hold one thousand items then rapid access and visibility can be maintained for a million points. This paper presents examples based on a database of highway incident data.