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