{"title":"使用动画可视化时空变化的COVID-19数据","authors":"H. Samet, Yunheng Han, J. Kastner, Hong Wei","doi":"10.1145/3423459.3430761","DOIUrl":null,"url":null,"abstract":"CoronaViz (http://coronaviz.umiacs.io) is a research prototype developed by us to enable the dynamic map visualization of COVID-19 related variables including the number of confirmed cases, active cases, recoveries, and deaths all on a daily basis from the Johns Hopkins University web site at ter.ps/coronajhu, by allowing the underlying spatial region and the spanned time interval to vary. Any combination of the variables can be viewed. subject to a possibility of clutter which is avoided by the use of concentric circles (termed geo-circles) whose radius values correspond to the variable values. The variable values are provided both on cumulative and day-by-day bases. The visualization enables spatial and temporal variation.","PeriodicalId":118865,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Using Animation to Visualize Spatio-Temporal Varying COVID-19 Data\",\"authors\":\"H. Samet, Yunheng Han, J. Kastner, Hong Wei\",\"doi\":\"10.1145/3423459.3430761\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"CoronaViz (http://coronaviz.umiacs.io) is a research prototype developed by us to enable the dynamic map visualization of COVID-19 related variables including the number of confirmed cases, active cases, recoveries, and deaths all on a daily basis from the Johns Hopkins University web site at ter.ps/coronajhu, by allowing the underlying spatial region and the spanned time interval to vary. Any combination of the variables can be viewed. subject to a possibility of clutter which is avoided by the use of concentric circles (termed geo-circles) whose radius values correspond to the variable values. The variable values are provided both on cumulative and day-by-day bases. The visualization enables spatial and temporal variation.\",\"PeriodicalId\":118865,\"journal\":{\"name\":\"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3423459.3430761\",\"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 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3423459.3430761","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Animation to Visualize Spatio-Temporal Varying COVID-19 Data
CoronaViz (http://coronaviz.umiacs.io) is a research prototype developed by us to enable the dynamic map visualization of COVID-19 related variables including the number of confirmed cases, active cases, recoveries, and deaths all on a daily basis from the Johns Hopkins University web site at ter.ps/coronajhu, by allowing the underlying spatial region and the spanned time interval to vary. Any combination of the variables can be viewed. subject to a possibility of clutter which is avoided by the use of concentric circles (termed geo-circles) whose radius values correspond to the variable values. The variable values are provided both on cumulative and day-by-day bases. The visualization enables spatial and temporal variation.