Publication:
Using spatial randomisations to improve the utility of Geographically Weighted Regression model results

dc.contributor.author Laffan, Shawn en_US
dc.contributor.author Bickford, S en_US
dc.date.accessioned 2021-11-25T13:09:41Z
dc.date.available 2021-11-25T13:09:41Z
dc.date.issued 2005 en_US
dc.description.abstract Geographically Weighted Regression (GWR) and its variants are analysis methods that can cope with the multi-scale, spatially non-stationary relationships common to spatial data. They achieve this by using geographical sub-samples of the data for which one expects the complexity of any relationships to be simpler than over the whole study area. en_US
dc.description.uri http://www.mssanz.org.au/modsim05/papers/laffan.pdf en_US
dc.identifier.isbn 0975840029 en_US
dc.identifier.uri http://hdl.handle.net/1959.4/39295
dc.language English
dc.language.iso EN en_US
dc.publisher Modelling & Simulation Society of Australia & New Zealand Inc en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.source Legacy MARC en_US
dc.subject.other Geographically Weighted Regression en_US
dc.subject.other Climate surfaces en_US
dc.subject.other GIS en_US
dc.subject.other species richness en_US
dc.subject.other randomisations en_US
dc.title Using spatial randomisations to improve the utility of Geographically Weighted Regression model results en_US
dc.type Conference Paper en
dcterms.accessRights metadata only access
dspace.entity.type Publication en_US
unsw.accessRights.uri http://purl.org/coar/access_right/c_14cb
unsw.description.notePublic Conference Editors: A Zerger and R Argent en_US
unsw.publisher.place Canberra en_US
unsw.relation.faculty Science
unsw.relation.ispartofconferenceLocation Melbourne, Australia en_US
unsw.relation.ispartofconferenceName International Congress on Modelling and Simulation (MODSIM 05) en_US
unsw.relation.ispartofconferenceProceedingsTitle International Congress on Modelling and Simulation (MODSIM 05) en_US
unsw.relation.ispartofconferenceYear 2005 en_US
unsw.relation.ispartofpagefrompageto 1396-1401 en_US
unsw.relation.originalPublicationAffiliation Laffan, Shawn, Biological, Earth & Environmental Sciences, Faculty of Science, UNSW en_US
unsw.relation.originalPublicationAffiliation Bickford, S en_US
unsw.relation.school School of Biological, Earth & Environmental Sciences *
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