Michael Burch, Indre Tauroseviciute, Guillermo Mateos Guridi
{"title":"Visual Analysis of Spatio-Temporal Earthquake Events","authors":"Michael Burch, Indre Tauroseviciute, Guillermo Mateos Guridi","doi":"10.1145/3554944.3554959","DOIUrl":null,"url":null,"abstract":"Earthquakes are one of the most destructive natural forces on Earth. Helping uncover and understand the hidden patterns behind the occurrence of Earthquakes is vital for preparation and emergency response. Unfortunately, it is difficult to do so as those patterns probably depend on too many variables to be easily perceived with common visualization techniques. In this paper we expand on a technique designed for eye movement data and apply it to spatio-temporal earthquake events. This visualization combines the spatial and temporal dimension into a line-based splatted diagram that provides an overview and serves as a starting point for further data explorations in space and time.","PeriodicalId":118682,"journal":{"name":"Proceedings of the 15th International Symposium on Visual Information Communication and Interaction","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 15th International Symposium on Visual Information Communication and Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3554944.3554959","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Earthquakes are one of the most destructive natural forces on Earth. Helping uncover and understand the hidden patterns behind the occurrence of Earthquakes is vital for preparation and emergency response. Unfortunately, it is difficult to do so as those patterns probably depend on too many variables to be easily perceived with common visualization techniques. In this paper we expand on a technique designed for eye movement data and apply it to spatio-temporal earthquake events. This visualization combines the spatial and temporal dimension into a line-based splatted diagram that provides an overview and serves as a starting point for further data explorations in space and time.