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.
- 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