Modelling spatial point patterns in R

Show simple item record Baddeley, A en 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 2012-05-31T03:12:21Z en 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 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 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 New York en
pubs.publication-status Published en
dc.rights.accessrights en
pubs.elements-id 355523 en
pubs.record-created-at-source-date 2012-05-28 en

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