Diggle P J, Chetwynd A G, Häggkvist R, Morris S E
Department of Mathematics and Statistics, Lancaster University, UK.
Stat Methods Med Res. 1995 Jun;4(2):124-36. doi: 10.1177/096228029500400203.
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.
我们考虑点过程数据中时空交互作用的检测与描述问题。我们将现有的用于纯空间点过程数据的二阶方法扩展到时空环境。这种扩展使我们能够将时空交互作用估计为空间和时间间隔的函数,并为一种流行的、由诺克斯提出的时空交互作用检验提供了有用的重新解释。对模拟数据和真实数据的应用表明了该方法的潜力。