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The K-function analysis of space-time point pattern on road network

  • Tongji University
  • University of Florida

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The paper proposes one space-time version of network K-function for detecting space-time distribution pattern of incidents occurring on road network. It extends existing network K-function for purely network space point process data to the network space-time setting. Two Monte Carlo simulations are implemented in the experiment, one is to detect space-time clustering of load-unload points, and the other is to test space-time interaction. The experiment results show that there is a significant evidence of clustering and space-time interaction at several space and time scales. The real application indicates the proposed network K-function's potential of analyzing space-time point process.

Original languageEnglish
Title of host publicationProceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 19th International Conference on Geoinformatics, Geoinformatics 2011 - Shanghai, China
Duration: 24 Jun 201126 Jun 2011

Publication series

NameProceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011

Conference

Conference2011 19th International Conference on Geoinformatics, Geoinformatics 2011
Country/TerritoryChina
CityShanghai
Period24/06/1126/06/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Load-unload Point
  • Monte Carlo Simulation
  • Network K-function
  • Space-time Clustering
  • Space-time Interaction

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