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Könyv Spatial Big Data Science Zhe Jiang

Spatial Big Data Science

Classification Techniques for Earth Observation Imagery

Szerző: Zhe Jiang, Shashi Shekhar
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer International Publishing AG
Elérhetőség: Kiadói készleten rendelésre
Küldés 17-27 napon belül
51 188 Ft
Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challeng...

Információk a könyvről

Szerző
Zhe Jiang, Shashi Shekhar
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2018
oldal
131
EAN
9783319868028
Enbook ID
20094411
Kiadó
Springer International Publishing AG
Súly
238
Méretek
156 x 237 x 9

Teljes leírás

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 (e.g., 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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