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Spatial Big Data Science: Classification Techniques for Earth Observation Imagery - Couverture rigide
Synopsis
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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Spatial Big Data Science: Classification Techniques for Earth Observation Imagery [Hardcover] Jiang, Zhe and Shekhar, Shashi
Edité par
Springer, 2017
ISBN 10 : 3319601946
ISBN 13 : 9783319601946
Ancien ou d'occasion
Couverture rigide
Edition originale
Vendeur : SpringBooks, Berlin, Allemagne
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Hardcover. Etat : Very Good. 1. Auflage. Unread, some shelfwear. Immediately dispatched from Germany. N° de réf. du vendeur CEA-2311C-FALKE-05-1000XS
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Spatial Big Data Science
Edité par
Springer International Publishing, 2017
ISBN 10 : 3319601946
ISBN 13 : 9783319601946
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces four unique properties related to the nature of spatial data that must be accounted for in any data analysisCovers Spatial AutocorrelationDiscusses Spatial Dependency in Multiple Spatial ScalesEmerging Spatial Big Data. N° de réf. du vendeur 150547023
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Spatial Big Data Science: Classification Techniques for Earth Observation Imagery
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In. N° de réf. du vendeur ria9783319601946_new
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Spatial Big Data Science : Classification Techniques for Earth Observation Imagery
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Etat : New. N° de réf. du vendeur 29465035-n
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Spatial Big Data Science : Classification Techniques for Earth Observation Imagery
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. N° de réf. du vendeur 26376464160
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Spatial Big Data Science
ISBN 10 : 3319601946
ISBN 13 : 9783319601946
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 131 pp. Englisch. N° de réf. du vendeur 9783319601946
Quantité disponible : 2 disponible(s)
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Spatial Big Data Science : Classification Techniques for Earth Observation Imagery
Edité par
Springer, Berlin, Springer International Publishing, Springer, 2017
ISBN 10 : 3319601946
ISBN 13 : 9783319601946
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319601946
Quantité disponible : 2 disponible(s)
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Spatial Big Data Science : Classification Techniques for Earth Observation Imagery
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Etat : New. N° de réf. du vendeur 29465035-n
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Spatial Big Data Science : Classification Techniques for Earth Observation Imagery
Edité par
Springer, 2017
ISBN 10 : 3319601946
ISBN 13 : 9783319601946
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 29465035
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Spatial Big Data Science : Classification Techniques for Earth Observation Imagery
Edité par
Springer, 2017
ISBN 10 : 3319601946
ISBN 13 : 9783319601946
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 29465035
Quantité disponible : Plus de 20 disponibles