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Statistics for locally scaled point processes

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Recently, locally scaled point processes have been proposed as a new class of models for inhomogeneous spatial point processes. They are obtained as modifications of homogeneous template point processes and have the property that regions with different intensity differ only by a location dependent scale factor. The main emphasis of the present paper is on analysis of such models. Statistical methods are developed for estimation of scaling function and template parameters as well as for model validation. The proposed methods are assessed by simulation and used in the analysis of a vegetation pattern.
Original languageEnglish
Title of host publicationCase Studies in Spatial Point Process Modelling
EditorsA. Baddeley, P. Gregori, J. Mateu, R. Stoica, D. Stoyan
Number of pages25
Place of publicationNew York
PublisherSpringer
Publication year2006
Pages99-123
ISBN (print)978-0-387-28311-1
DOIs
Publication statusPublished - 2006
SeriesLecture Notes in Statistics
Volume185
ISSN0930-0325

Bibliographical note

Preprint available on http://www.imf.au.dk/publs?publid=528

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