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Centre for Mathematical Physics and Stochastics
Department of Mathematical Sciences, University of Aarhus

Funded by The Danish National Research Foundation

MPS-RR 1998-15
August 1998

Space-time multi type log Gaussian Cox processes with a view to modeling weed data


Jesper Møller

Anders Brix


Inhomogeneous log Gaussian Cox process models for multi type point patterns are studied and extended to spatial-temporal models called log Gaussian Cox birth-death processes. This is used in a detailed statistical analysis of a particular agricultural experiment concerning the development of weeds on an organic barley field.

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This paper has now been published in Scandinavian Journal of Statistics 28, 471-488 (2001)