Modelling spatial point patterns in R

Baddeley, A; Turner, Thomas

dc.contributor.author	Baddeley, A	en
dc.contributor.author	Turner, Thomas	en
dc.contributor.editor	Baddeley, A	en
dc.contributor.editor	Gregori, P	en
dc.contributor.editor	Mateu, J	en
dc.contributor.editor	Stoica, R	en
dc.contributor.editor	Stoyan, D	en
dc.date.accessioned	2012-05-31T03:12:21Z	en
dc.date.issued	2006	en
dc.identifier.citation	In Case Studies in Spatial Point Process Modelling. Editors: Baddeley A, Gregori P, Mateu J, Stoica R, Stoyan D. 185: 23-74. Springer, New York 2006	en
dc.identifier.isbn	978-0-387-28311-1	en
dc.identifier.uri	http://hdl.handle.net/2292/18832	en
dc.description.abstract	We describe practical techniques for fitting stochastic models to spatial point pattern data in the statistical package R. The techniques have been implemented in our package spatstat in R. They are demonstrated on two example datasets.	en
dc.publisher	Springer	en
dc.relation.ispartof	Case Studies in Spatial Point Process Modelling	en
dc.relation.ispartofseries	Lecture Notes in Statistics	en
dc.rights	Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.	en
dc.rights.uri	https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm	en
dc.subject	EDA for spatial point processes, Point process model fitting and sim- ulation, R, Spatstat package	en
dc.title	Modelling spatial point patterns in R	en
dc.type	Book Item	en
dc.identifier.doi	10.1007/0-387-31144-0_2	en
pubs.begin-page	23	en
pubs.volume	185	en
dc.rights.holder	Copyright: Springer	en
pubs.end-page	74	en
pubs.place-of-publication	New York	en
pubs.publication-status	Published	en
dc.rights.accessrights	http://purl.org/eprint/accessRights/RestrictedAccess	en
pubs.elements-id	355523	en
pubs.record-created-at-source-date	2012-05-28	en