Description: Spatial Big Data Science : Classification Techniques for Earth Observation Imagery, Hardcover by Jiang, Zhe; Shekhar, Shashi, ISBN 3319601946, ISBN-13 9783319601946, Like New Used, Free P&P in the UK
Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challenges such as water resource management, food security, disaster response, and transportation. However, significant computational challenges exist in analyzing SBD due to the unique spatial characteristics including spatial autocorrelation, anisotropy, heterogeneity, multiple scales and resolutions which is illustrated in this book.
This book also discusses current techniques for, spatial big data science with a particular focus on classification techniques for earth observation imagery big data. Specifically, the authors introduce several recent spatial classification techniques, such as spatial decision trees and spatial ensemble learning. Several potential future research directions are also discussed.
This book targets an interdisciplinary audience including computer scientists, practitioners and researchers working in the field of data mining, big data, as well as domain scientists working in earth science (., hydrology, disaster), public safety and public health. Advanced level students in computer science will also find this book useful as a reference.
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End Time: 2024-11-27T22:36:48.000Z
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Book Title: Spatial Big Data Science : Classification Techniques for Earth Ob
Number of Pages: 131 Pages
Language: English
Publication Name: Spatial Big Data Science: Classification Techniques for Earth Observation Imagery
Publisher: Springer International Publishing A&G
Publication Year: 2017
Subject: Geography & Geosciences, Geology, Computer Science
Item Height: 235 mm
Item Weight: 3495 g
Type: Textbook
Author: Shashi Shekhar, Zhe Jiang
Item Width: 155 mm
Format: Hardcover
