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Statistical Methods in Medical Research
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What's this?

Second-order analysis of space-time clustering

PJ Diggle

Department of Mathematics and Statistics, Lancaster University, UK

AG Chetwynd

Department of Mathematics and Statistics, Lancaster University, UK

R. Häggkvist

Department of Mathematics, University of Umeå, Sweden

SE Morris

Department of Mathematics and Statistics, Lancaster University, UK

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.

Statistical Methods in Medical Research, Vol. 4, No. 2, 124-136 (1995)
DOI: 10.1177/096228029500400203
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