Spatial-temporal cross-correlation analysis: A new measure and a case study in infectious disease informatics

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

This paper aims to develop a new statistical measure to identify significant correlations among multiple events with spatial and temporal components. This new measure, K(r, t), is defined by adding the temporal dimension to Ripley's K(r) function. Empirical studies show that the use of K(r,t) can lead to a more discriminating and flexible spatial-temporal data analysis framework. This measure also helps identify the causal events whose occurrences induce those of other events.

Original languageEnglish (US)
Title of host publicationIntelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings
PublisherSpringer-Verlag
Pages542-547
Number of pages6
ISBN (Print)3540344780, 9783540344780
DOIs
StatePublished - Jan 1 2006
EventIEEE International Conference on Intelligence and Security Informatics, ISI 2006 - San Diego, CA, United States
Duration: May 23 2006May 24 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3975 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherIEEE International Conference on Intelligence and Security Informatics, ISI 2006
CountryUnited States
CitySan Diego, CA
Period5/23/065/24/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Ma, J., Zeng, D., & Chen, H. (2006). Spatial-temporal cross-correlation analysis: A new measure and a case study in infectious disease informatics. In Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings (pp. 542-547). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3975 LNCS). Springer-Verlag. https://doi.org/10.1007/11760146_54