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 Citations (Scopus)

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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages542-547
Number of pages6
Volume3975 LNCS
DOIs
StatePublished - 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)03029743
ISSN (Electronic)16113349

Other

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

Fingerprint

Informatics
Correlation Analysis
Infectious Diseases
Cross-correlation
Communicable Diseases
Spatio-Temporal Analysis
Multiple Correlation
Empirical Study
Data analysis

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

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

Spatial-temporal cross-correlation analysis : A new measure and a case study in infectious disease informatics. / Ma, Jian; Zeng, Dajun; Chen, Hsinchun.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3975 LNCS 2006. p. 542-547 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3975 LNCS).

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

Ma, J, Zeng, D & Chen, H 2006, Spatial-temporal cross-correlation analysis: A new measure and a case study in infectious disease informatics. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3975 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3975 LNCS, pp. 542-547, IEEE International Conference on Intelligence and Security Informatics, ISI 2006, San Diego, CA, United States, 5/23/06. https://doi.org/10.1007/11760146_54
Ma J, Zeng D, Chen H. Spatial-temporal cross-correlation analysis: A new measure and a case study in infectious disease informatics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3975 LNCS. 2006. p. 542-547. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11760146_54
Ma, Jian ; Zeng, Dajun ; Chen, Hsinchun. / Spatial-temporal cross-correlation analysis : A new measure and a case study in infectious disease informatics. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3975 LNCS 2006. pp. 542-547 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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