Routledge - Social Sensing and Big Data Computing for Disaster Management

Social Sensing and Big Data Computing for Disaster Management by Routledge examines the latest advancements in using social sensing and big data to support disaster management efforts. This book addresses the specific promises and pitfalls of using social sensing data for critical tasks such as information extraction and impact area assessment. As traditional data collection methods like remote sensing and field surveying often struggle to provide timely information during emergencies, this text explores how big data computing offers new possibilities. Readers will gain insights into population mapping, occurrence patterns, and geographical disparities in social media use. The content is designed to help professionals understand how to include these modern data streams into larger decision support systems for more effective disaster response.