Social Sensing Big Data (30 results)
- Softcover
Seller: BooksRun, Philadelphia, PA, U.S.A.BooksRun
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Social Sensing and Big Data Computing for Disaster Management
Li, Zhenlong (EDT); Huang, Qunying (EDT); Emrich, Christopher T. (EDT)
- Softcover
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- Softcover
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Social Sensing and Big Data Computing for Disaster Management
Li, Zhenlong (EDT); Huang, Qunying (EDT); Emrich, Christopher T. (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Softcover
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Social Sensing and Big Data Computing for Disaster Management
Li, Zhenlong (EDT); Huang, Qunying (EDT); Emrich, Christopher T. (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Social Sensing and Big Data Computing for Disaster Management
Li, Zhenlong (EDT); Huang, Qunying (EDT); Emrich, Christopher T. (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
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- Softcover
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Social Sensing and Big Data Computing for Disaster Management
Li, Zhenlong (Editor)/ Huang, Qunying (Editor)/ Emrich, Christopher T. (Editor)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 204 pages. 9.69x6.88x0.55 inches. In Stock.
- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New. Zhenlong Li is Associate Professor in the Department of Geography at the University of South Carolina, USA where he established and leads the Geoinformation and Big Data Research Laboratory. His primary research focuses on geospatial big data analytics, .
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - Social Sensing and Big Data Computing for Disaster Management captures recent advancements in leveraging social sensing and big data computing for supporting disaster management.
- Hardcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Social Sensing and Big Data Computing for Disaster Management
Li, Zhenlong (EDT); Huang, Qunying (EDT); Emrich, Christopher T. (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Social Sensing and Big Data Computing for Disaster Management
Li, Zhenlong (EDT); Huang, Qunying (EDT); Emrich, Christopher T. (EDT)
- Hardcover
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Social Sensing and Big Data Computing for Disaster Management
Li, Zhenlong (EDT); Huang, Qunying (EDT); Emrich, Christopher T. (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Social Sensing and Big Data Computing for Disaster Management
Li, Zhenlong (EDT); Huang, Qunying (EDT); Emrich, Christopher T. (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Hardcover
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- Hardcover
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- Hardcover
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Social Sensing and Big Data Computing for Disaster Management
Li, Zhenlong (Editor)/ Huang, Qunying (Editor)/ Emrich, Christopher T. (Editor)
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 192 pages. 9.50x6.75x0.50 inches. In Stock.
- Hardcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Zhenlong Li is Associate Professor in the Department of Geography at the University of South Carolina, USA where he established and leads the Geoinformation and Big Data Research Laboratory. His primary research focuses on geospatial big data analytics, .…
- Hardcover
- Print on Demand
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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- Hardcover
- Print on Demand
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Social 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. Traditional 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 which is low cost, more comprehensive, and always broadcasting situational awareness information. However, data collected with social sensing is often massive, heterogeneous, noisy, and unreliable in some aspects. It comes in continuous streams, and often lacks geospatial reference information. Together, these issues represent a grand challenge toward fully leveraging social sensing for emergency management decision making under extreme duress. Meanwhile, big data computing methods and technologies such as high-performance computing, deep learning, and multi-source data fusion become critical components of using social sensing to understand the impact of and response to the disaster events in a timely fashion. This book was originally published as a special issue of the International Journal of Digital Earth.…
