Social Sensing and Big Data Computing for Disaster Management

Name: Social Sensing and Big Data Computing for Disaster Management
Brand: Taylor & Francis

Taylor & Francis

Social Sensing and Big Data Computing for Disaster ManagementAuthor(s): Zhenlong Li, Qunying Huang, Christopher T. Emrich\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Routledge\nISBN-13: 9780367617653, 978-0367617653\nSynopsis\nSocial Sensing and Big Data Computing for Disaster Management captures recent advancements in leveraging social sensing and big data computing for supporting disaster management. Specifically, analysed within this book are some of the promises and pitfalls of social sensing data for disaster relevant information extraction, impact area assessment, population mapping, occurrence patterns, geographical disparities in social media use, and inclusion in larger decision support systems.\n\nTraditional data collection methods such as remote sensing and field surveying often fail to offer timely information during or immediately following disaster events. Social sensing enables all citizens to become part of a large sensor network .