Shulph Ink
Social Sensing and Big Data Computing for Disaster Management
Social Sensing and Big Data Computing for Disaster Management
YOU SAVE £3.20
- Condition: Brand new
- UK Delivery times: Usually arrives within 2 - 3 working days
- UK Shipping: Fee starts at £2.39. Subject to product weight & dimension
Couldn't load pickup availability
Excellent- More about Social Sensing and Big Data Computing for Disaster Management
Social Sensing and Big Data Computing for Disaster Management explores the potential of social sensing data to support disaster management, highlighting the challenges and opportunities of using this type of data. It also emphasizes the importance of big data computing methods in analyzing and interpreting social sensing data for timely decision-making.
Format: Paperback / softback
Length: 192 pages
Publication date: 25 September 2023
Publisher: Taylor & Francis Ltd
Social Sensing and Big Data Computing for Disaster Management delves into the latest advancements in harnessing social sensing and big data computing to support disaster management. Within its pages, the book explores various aspects of leveraging social sensing data for disaster-relevant information extraction, impact area assessment, population mapping, occurrence patterns, geographical disparities in social media use, and integration into larger decision support systems.
Traditional data collection methods, such as remote sensing and field surveying, often fall short in providing timely information during or immediately following disaster events. Social sensing, on the other hand, empowers all citizens to become integral members of a vast, low-cost, and constantly broadcasting sensor network that provides situational awareness information. However, the data collected through social sensing is often massive, heterogeneous, noisy, and unreliable in certain aspects. It arrives in continuous streams and frequently lacks geospatial reference information. Combined, these challenges pose a significant obstacle to fully leveraging social sensing for emergency management decision-making under extreme duress.
In response to these challenges, big data computing methods and technologies, including high-performance computing, deep learning, and multi-source data fusion, become crucial components in utilizing social sensing to understand the impact of and response to disaster events in a timely fashion. This book, originally published as a special issue of the International Journal of Digital Earth, serves as a valuable resource for researchers, practitioners, and policymakers interested in leveraging social sensing and big data computing to enhance disaster management efforts.
Weight: 453g
Dimension: 246 x 174 (mm)
ISBN-13: 9780367617677
This item can be found in:
UK and International shipping information
UK and International shipping information
UK Delivery and returns information:
- Delivery within 2 - 3 days when ordering in the UK.
- Shipping fee for UK customers from £2.39. Fully tracked shipping service available.
- Returns policy: Return within 30 days of receipt for full refund.
International deliveries:
Shulph Ink now ships to Australia, Belgium, Canada, France, Germany, Ireland, Italy, India, Luxembourg Saudi Arabia, Singapore, Spain, Netherlands, New Zealand, United Arab Emirates, United States of America.
- Delivery times: within 5 - 10 days for international orders.
- Shipping fee: charges vary for overseas orders. Only tracked services are available for most international orders. Some countries have untracked shipping options.
- Customs charges: If ordering to addresses outside the United Kingdom, you may or may not incur additional customs and duties fees during local delivery.
