Second-order analysis of inhomogeneous spatio-temporal point process data

Edith Gabriel, Peter J. Diggle

Research output: Contribution to journalArticle


Second-order methods provide a natural starting point for the analysis of spatial point process data. In this note we extend to the spatio-temporal setting a method proposed by Baddeley et al. [Statistica Neerlandica (2000) Vol. 54, pp. 329-350] for inhomogeneous spatial point process data, and apply the resulting estimator to data on the spatio-temporal distribution of human Campylobacter infections in an area of north-west England.

Original languageEnglish (US)
Pages (from-to)43-51
Number of pages9
JournalStatistica Neerlandica
Issue number1
StatePublished - Feb 2009
Externally publishedYes


  • Campylobacter
  • Point process
  • Reduced second moment measure
  • Spatio-temporal data
  • Spatio-temporal inhomogeneous K-function

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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