A multi-scale area-interaction model for spatio-temporal point patterns

Adina Iftimi (Corresponding Author), Maria Nicolette Margaretha van Lieshout, Francisco Montes

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4 Citations (Scopus)
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Models for fitting spatio-temporal point processes should incorporate spatio-temporal inhomogeneity and allow for different types of interaction between points (clustering or regularity). This paper proposes an extension of the spatial multi-scale area-interaction model to a spatio-temporal framework. This model allows for interactionbetween points at different spatio-temporal scales and for the inclusion of covariates. We present a simulation study and fit the new model to varicella cases registered during 2013 in Valencia, Spain.
Original languageEnglish
Pages (from-to)38-55
Number of pages18
JournalSpatial statistics
Issue number1
Early online date19 Jun 2018
Publication statusPublished - Aug 2018


  • Gibbs point processes
  • Multi-scale area-interaction model
  • Spatio-temporal point processes
  • Varicella


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