Maksim Gomov, Tarik Crnovrsanin, Keshav Dasu, K. Ma
{"title":"探索历史火灾数据的交互式系统","authors":"Maksim Gomov, Tarik Crnovrsanin, Keshav Dasu, K. Ma","doi":"10.1109/PacificVis.2019.00040","DOIUrl":null,"url":null,"abstract":"Wildfires cause immense costs to human life, property, and the environment. As the impact of climate change increases the frequency and severity of wildfires, a renewed effort to understand these phenomena and their catalysts has increased. In this paper, we introduce a system that couples multiple sources of data and visualization to enable analysts to study historical fire data. We show two use cases to demonstrate the effectiveness of our system.","PeriodicalId":208856,"journal":{"name":"2019 IEEE Pacific Visualization Symposium (PacificVis)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Interactive System for Exploring Historical Fire Data\",\"authors\":\"Maksim Gomov, Tarik Crnovrsanin, Keshav Dasu, K. Ma\",\"doi\":\"10.1109/PacificVis.2019.00040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wildfires cause immense costs to human life, property, and the environment. As the impact of climate change increases the frequency and severity of wildfires, a renewed effort to understand these phenomena and their catalysts has increased. In this paper, we introduce a system that couples multiple sources of data and visualization to enable analysts to study historical fire data. We show two use cases to demonstrate the effectiveness of our system.\",\"PeriodicalId\":208856,\"journal\":{\"name\":\"2019 IEEE Pacific Visualization Symposium (PacificVis)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Pacific Visualization Symposium (PacificVis)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PacificVis.2019.00040\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Pacific Visualization Symposium (PacificVis)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PacificVis.2019.00040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Interactive System for Exploring Historical Fire Data
Wildfires cause immense costs to human life, property, and the environment. As the impact of climate change increases the frequency and severity of wildfires, a renewed effort to understand these phenomena and their catalysts has increased. In this paper, we introduce a system that couples multiple sources of data and visualization to enable analysts to study historical fire data. We show two use cases to demonstrate the effectiveness of our system.