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|a 9783319396217
|9 978-3-319-39621-7
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|a 10.1007/978-3-319-39621-7
|2 doi
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|a Oliver, Dev.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Spatial Network Data
|h [electronic resource] :
|b Concepts and Techniques for Summarization /
|c by Dev Oliver.
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|a 1st ed. 2016.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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|a XII, 50 p. 19 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a SpringerBriefs in Computer Science,
|x 2191-5776
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|a Introduction -- Many Connected Components -- Many Candidates -- Summary.
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|a 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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|a Computer networks .
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|a Transportation engineering.
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|a Traffic engineering.
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|a Regional economics.
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|a Spatial economics.
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|a Computer Communication Networks.
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|a Transportation Technology and Traffic Engineering.
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|a Regional and Spatial Economics.
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319396200
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|i Printed edition:
|z 9783319396224
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|a SpringerBriefs in Computer Science,
|x 2191-5776
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|u https://doi.uam.elogim.com/10.1007/978-3-319-39621-7
|z Texto Completo
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|a ZDB-2-SCS
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|a ZDB-2-SXCS
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|a Computer Science (SpringerNature-11645)
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|a Computer Science (R0) (SpringerNature-43710)
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