We consider the problem of detecting and describing space-time interaction in point process data. We extend existing second-order methods for purely spatial point process data to the spatial-temporal setting. This extension allows us to estimate space-time interaction as a function of spatial and temporal separation, and provides a useful reinterpretation of a popular test, due to Knox, for space-time interaction. Applications to simulated and real data indicate the method's potential.
|Original language||English (US)|
|Number of pages||13|
|Journal||Statistical Methods in Medical Research|
|State||Published - Jun 1995|
ASJC Scopus subject areas
- Health Information Management