Spatial network data : concepts and techniques for summarization /

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Bibliographic Details
Author / Creator:Oliver, Dev, author.
Imprint:Switzerland : Springer, 2016.
Description:1 online resource (xii, 50 pages) : illustrations
Language:English
Series:SpringerBriefs in computer science
SpringerBriefs in computer science.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11263861
Hidden Bibliographic Details
ISBN:9783319396217
3319396218
331939620X
9783319396200
9783319396200
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed June 28, 2016).
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.
Other form:Print version: Oliver, Dev. Spatial network data : concepts and techniques for summarization. [Cham, Switzerland] : Springer, ©2016 xii, 50 pages SpringerBriefs in computer science. 2191-5776 9783319396200
Standard no.:10.1007/978-3-319-39621-7
Table of Contents:
  • Introduction
  • Many Connected Components
  • Many Candidates
  • Summary.