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Spatial network data = concepts and ...
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Oliver, Dev.
Spatial network data = concepts and techniques for summarization /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Spatial network data/ by Dev Oliver.
Reminder of title:
concepts and techniques for summarization /
Author:
Oliver, Dev.
Published:
Cham :Springer International Publishing : : 2016.,
Description:
xii, 50 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Spatial data infrastructures. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-39621-7
ISBN:
9783319396217
Spatial network data = concepts and techniques for summarization /
Oliver, Dev.
Spatial network data
concepts and techniques for summarization /[electronic resource] :by Dev Oliver. - Cham :Springer International Publishing :2016. - xii, 50 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..
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.
ISBN: 9783319396217
Standard No.: 10.1007/978-3-319-39621-7doiSubjects--Topical Terms:
682258
Spatial data infrastructures.
LC Class. No.: G70.212
Dewey Class. No.: 910.285
Spatial network data = concepts and techniques for summarization /
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Introduction -- Many Connected Components -- Many Candidates -- Summary.
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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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