Second-order analysis of space-time clustering

Peter Diggle; A. G. Chetwynd; S. E. Morris; R. Häggkvist

doi:10.1177/096228029500400203

Second-order analysis of space-time clustering

Peter Diggle
, A. G. Chetwynd
, S. E. Morris
, R. Häggkvist

Research output: Contribution to journal › Article › peer-review

208 Citations (Scopus)

Abstract

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
Pages (from-to)	124-136
Number of pages	13
Journal	Statistical Methods in Medical Research
Volume	4
Issue number	2
DOIs	https://doi.org/10.1177/096228029500400203
Publication status	Published - 1 Jun 1995
Externally published	Yes

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title = "Second-order analysis of space-time clustering",

abstract = "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.",

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year = "1995",

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AU - Morris, S. E.

AU - Häggkvist, R.

PY - 1995/6/1

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N2 - 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.

AB - 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.

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DO - 10.1177/096228029500400203

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JO - Statistical Methods in Medical Research

JF - Statistical Methods in Medical Research

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ER -

Second-order analysis of space-time clustering

Abstract

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