Social sensing and big data computing for disaster management. (2020)
- Record Type:
- Book
- Title:
- Social sensing and big data computing for disaster management. (2020)
- Main Title:
- Social sensing and big data computing for disaster management
- Further Information:
- Note: Edited by Zhenlong Li, Qunying Huang, Christopher T. Emrich.
- Editors:
- Li, Zhenlong
Huang, Qunying
Emrich, Christopher T - Contents:
- 1. Introduction to social sensing and big data computing for disaster management Zhenlong Li, Qunying Huang and Christopher T. Emrich 2. Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane Irma Muhammed Ali Sit, Caglar Koylu and Ibrahim Demir 3. Deep learning for real-time social media text classification for situation awareness – using Hurricanes Sandy, Harvey, and Irma as case studies Manzhu Yu, Qunying Huang, Han Qin, Chris Scheele and Chaowei Yang 4. A visual–textual fused approach to automated tagging of flood-related tweets during a flood event Xiao Huang, Cuizhen Wang, Zhenlong Li and Huan Ning 5. Rapid estimation of an earthquake impact area using a spatial logistic growth model based on social media data Yandong Wang, Shisi Ruan, Teng Wang and Mengling Qiao 6. Mapping near-real-time power outages from social media Huina Mao, Gautam Thakur, Kevin Sparks, Jibonananda Sanyal and Budhendra Bhaduri 7. Social and geographical disparities in Twitter use during Hurricane Harvey Lei Zou, Nina S. N. Lam, Shayan Shams, Heng Cai, Michelle A. Meyer, Seungwon Yang, Kisung Lee, Seung-Jong Park and Margaret A. Reams 8. Population distribution modelling at fine spatio-temporal scale based on mobile phone data Petr Kubíček, Milan Konečný, Zdeněk Stachoň, Jie Shen, Lukáš Herman, Tomáš Řezník, Karel Staněk, Radim Štampach and Šimon Leitgeb 9. Discovering the1. Introduction to social sensing and big data computing for disaster management Zhenlong Li, Qunying Huang and Christopher T. Emrich 2. Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane Irma Muhammed Ali Sit, Caglar Koylu and Ibrahim Demir 3. Deep learning for real-time social media text classification for situation awareness – using Hurricanes Sandy, Harvey, and Irma as case studies Manzhu Yu, Qunying Huang, Han Qin, Chris Scheele and Chaowei Yang 4. A visual–textual fused approach to automated tagging of flood-related tweets during a flood event Xiao Huang, Cuizhen Wang, Zhenlong Li and Huan Ning 5. Rapid estimation of an earthquake impact area using a spatial logistic growth model based on social media data Yandong Wang, Shisi Ruan, Teng Wang and Mengling Qiao 6. Mapping near-real-time power outages from social media Huina Mao, Gautam Thakur, Kevin Sparks, Jibonananda Sanyal and Budhendra Bhaduri 7. Social and geographical disparities in Twitter use during Hurricane Harvey Lei Zou, Nina S. N. Lam, Shayan Shams, Heng Cai, Michelle A. Meyer, Seungwon Yang, Kisung Lee, Seung-Jong Park and Margaret A. Reams 8. Population distribution modelling at fine spatio-temporal scale based on mobile phone data Petr Kubíček, Milan Konečný, Zdeněk Stachoň, Jie Shen, Lukáš Herman, Tomáš Řezník, Karel Staněk, Radim Štampach and Šimon Leitgeb 9. Discovering the relationship of disasters from big scholar and social media news datasets Liang Zheng, Fei Wang, Xiaocui Zheng and Binbin Liu 10. A cyberGIS-enabled multi-criteria spatial decision support system: A case study on flood emergency management Zhe Zhang, Hao Hu, Dandong Yin, Shakil Kashem, Ruopu Li, Heng Cai, Dylan Perkins and Shaowen Wang … (more)
- Edition:
- 1st
- Publisher Details:
- London : Routledge
- Publication Date:
- 2020
- Extent:
- 1 online resource
- Subjects:
- 363.348028557
Emergency management -- Data processing
Online social networks -- Data processing
Big data - Languages:
- English
- ISBNs:
- 9781000261530
9781000261493
9781003106494 - Related ISBNs:
- 9780367617653
- Notes:
- Note: Description based on CIP data; resource not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.581267
- Ingest File:
- 03_223.xml