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Spatial Network Data [electronic resource] : Concepts and Techniques for Summarization / by Dev Oliver.

By: Oliver, Dev [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Computer Science: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XII, 50 p. 19 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319396217.Subject(s): Computer science | Transportation | Computer communication systems | Regional economics | Spatial economics | Computer Science | Computer Communication Networks | Transportation | Regional/Spatial ScienceAdditional physical formats: Printed edition:: No titleDDC classification: 004.6 Online resources: Click here to access online
Contents:
Introduction -- Many Connected Components -- Many Candidates -- Summary.
In: Springer eBooksSummary: This brief explores two of the main challenges of spatial network data analysis: the many connected components in the spatial network and the many candidates that have to be processed. Within this book, these challenges are conceptualized, well-defined problems are explored, and critical techniques are discussed. The process of summarizing spatial network data entails finding a compact description or representation of observations or activities on large spatial or spatiotemporal networks. However, summarizing spatial network data can be computationally challenging for various reasons, depending on the domain. The content has applications for professionals, organizations, and researchers in transportation safety, public safety, public health, disaster response, and related fields.
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Introduction -- Many Connected Components -- Many Candidates -- Summary.

This brief explores two of the main challenges of spatial network data analysis: the many connected components in the spatial network and the many candidates that have to be processed. Within this book, these challenges are conceptualized, well-defined problems are explored, and critical techniques are discussed. The process of summarizing spatial network data entails finding a compact description or representation of observations or activities on large spatial or spatiotemporal networks. However, summarizing spatial network data can be computationally challenging for various reasons, depending on the domain. The content has applications for professionals, organizations, and researchers in transportation safety, public safety, public health, disaster response, and related fields.

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