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Routledge - Social Sensing and Big Data Computing for Disaster Management

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Description

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.

Key Features

Explores the advantages and limitations of using social sensing data for disaster-relevant information extraction.

Provides detailed analysis on impact area assessment and population mapping for better emergency response.

Examines occurrence patterns and geographical disparities found in social media use during disasters.

Discusses how to integrate social sensing data into larger, more effective decision support systems.

Addresses the limitations of traditional methods like remote sensing and field surveying in providing timely data.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
23 November 2020
Listed Since
23 June 2020

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