Second-order analysis of inhomogeneous spatio-temporal point process data

Edith Gabriel; Peter J. Diggle

doi:10.1111/j.1467-9574.2008.00407.x

Second-order analysis of inhomogeneous spatio-temporal point process data

Edith Gabriel, Peter J. Diggle

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

71 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	43-51
Number of pages	9
Journal	Statistica Neerlandica
Volume	63
Issue number	1
DOIs	https://doi.org/10.1111/j.1467-9574.2008.00407.x
State	Published - Feb 2009
Externally published	Yes

Keywords

Campylobacter
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

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10.1111/j.1467-9574.2008.00407.x

Cite this

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KW - Reduced second moment measure

KW - Spatio-temporal data

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Second-order analysis of inhomogeneous spatio-temporal point process data

Abstract

Keywords

ASJC Scopus subject areas

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