MPS-RR 1998-15
August 1998
Space-time multi type log Gaussian Cox processes with a view to modeling weed data
by:
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.
Availability: [ gzipped ps-file ] [ pdf-file ]
[ Help on down-loading/viewing/printing ]
This paper has now been published in Scandinavian Journal of Statistics 28, 471-488 (2001)![[MaPhySto logo]](../../Graphics/logo.gif){kind=logo}