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Second‐order analysis of inhomogeneous spatio‐temporal point process data
Author(s) -
Gabriel Edith,
Diggle Peter J.
Publication year - 2009
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/j.1467-9574.2008.00407.x
Subject(s) - point process , estimator , point (geometry) , spatial analysis , process (computing) , order (exchange) , mathematics , computer science , statistics , data mining , geometry , finance , economics , operating system
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 B addeley 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.