Spatial Network Big Databases: Queries and Storage Methods
Author:   KwangSoo Yang ,  Shashi Shekhar
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
ISBN:  

9783319566566


Pages:   101
Publication Date:   24 April 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Spatial Network Big Databases: Queries and Storage Methods


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Author:   KwangSoo Yang ,  Shashi Shekhar
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783319566566


ISBN 10:   3319566563
Pages:   101
Publication Date:   24 April 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Spatial Network Big Databases: An Introduction.- 2. Basic Graph Algorithms.- 3. Capacity Constrained Network Voronoi Diagrams.- 4. Distance-Constrained k Spatial Sub-Networks.- 5. Evacuation Route Planning.- 6. Storage Schemes for Spatio-temporal Network Datasets.- 7. Summary.

Reviews

“Spatial network big data (SNBD) can be widely found in every corner of modern society. Examples include temporally detailed road maps that provide car speeds every minute for every road segment and GPS trace data from our cell phones. … The topic of this book is attractive and beneficial to readers and researchers who are interested in spatial networks, graph data, big data, and databases. It includes a clear structure when introducing the basic information, existing methods, and practical applications.” (Feng Yu, Computing Reviews, January, 4, 2018) ​


Spatial network big data (SNBD) can be widely found in every corner of modern society. Examples include temporally detailed road maps that provide car speeds every minute for every road segment and GPS trace data from our cell phones. ... The topic of this book is attractive and beneficial to readers and researchers who are interested in spatial networks, graph data, big data, and databases. It includes a clear structure when introducing the basic information, existing methods, and practical applications. (Feng Yu, Computing Reviews, January, 4, 2018)


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