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A preliminary investigation of the stability of Geographically-Weighted Regression

Otago University Research Archive

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dc.contributor.author Whigham, Peter A en_NZ
dc.contributor.author Hay, Geoff en_NZ
dc.date.copyright 2007-12-06 en_NZ
dc.identifier.citation Whigham, P. A., & Hay, G. (2007). A preliminary investigation of the stability of Geographically-Weighted Regression (pp. 119–126). Presented at the 19th Annual Colloquium of the Spatial Information Research Centre (SIRC 2007: Does Space Matter?). en
dc.identifier.uri http://hdl.handle.net/10523/707
dc.description.abstract This paper describes preliminary work analysing the stability of parameter coefficient estimates for Geographically-Weighted Regression (GWR). Based on a large dataset (35721 points) various random samplings of this data were performed and models built using GWR. An analysis of the coefficient values for the independent variables showed that these values could varying significantly both between runs and between sampling sizes. This suggests that the results from GWR must be carefully considered in terms of the form of data, assumed coefficient surface being modelled, and the confidence of the resulting parameter estimates. en_NZ
dc.format.mimetype application/pdf
dc.relation.uri http://www.business.otago.ac.nz/sirc/conferences/2007/22_whigham.pdf en_NZ
dc.subject GWR en_NZ
dc.subject weighted regression en_NZ
dc.subject sampling en_NZ
dc.subject coefficient estimates en_NZ
dc.subject.lcsh QA76 Computer software en_NZ
dc.title A preliminary investigation of the stability of Geographically-Weighted Regression en_NZ
dc.type Conference or Workshop Item (Paper) en_NZ
dc.description.version Published en_NZ
otago.date.accession 2009-04-22 03:33:24 en_NZ
otago.relation.pages 119-126 en_NZ
otago.openaccess Open
dc.identifier.eprints 817 en_NZ
dc.description.refereed Non Peer Reviewed en_NZ
otago.school.eprints Spatial Information Research Centre en_NZ
otago.school.eprints Injury Prevention Research Unit en_NZ
otago.school.eprints Information Science en_NZ
otago.school.eprints Preventive & Social Medicine en_NZ
dc.description.references Bayley, A. & R. Goodyear (2001) An Urban/Rural Profile, Statistics New Zealand, . Brundsdon, C., A. S. Fotheringham & M. Charlton (1996) Geographically weighted regression: A method for exploring spatial nonstationarity. Geographical Analysis, 28: pp. 281-289. Farber, S. & A. Paez (2007) A systematic investigation of cross-validation in GWR model estimation: empirical analysis and Monte Carlo simulations. J. Geograph Syst, 9: pp. 371-396. Fotheringham, A. S., C. Brunsdon & M. Charlton (2002) Geographically Weighted Regression: the analysis of spatially varying relationships, John Wiley & Sons, Ltd, . Hay, G., P. Whigham, K. Kypri & J. Langley 2007, 'Spatial variation in the association between neighbourhood deprivation and access to alcohol outlets', in Proceedings of the 19th Annual Colloquium of the Spatial Information Research Centre, Ed P. Whigham, Otago University Print, Dunedin, New Zealand. Ihaka, R. & R. Gentleman (1996) R: A Language for Data Analysis and Graphics. Journal of Computational and Graphical Statistics, 5:3, pp. 299-314. Martin, D. (1989) Mapping Population Data from Zone Centroid Locations. Transactions of the Institute of British Geographers, 14:1, pp. 90-97. Pearce, J., K. Witten & P. Bartie (2006) Neighbourhoods and health: a GIS approach to measuring community resource accessibility. J Epidemiol Community Health, 60: pp. 389-395. Salmond, C. & P. Crampton 2002, NZDep Index of Deprivation, Department of Public Health, Wellington School of Medicine and Health Sciences, City, . en_NZ
otago.event.dates 6-7 December en_NZ
otago.event.place Dunedin, New Zealand en_NZ
otago.event.type conference en_NZ
otago.event.title 19th Annual Colloquium of the Spatial Information Research Centre (SIRC 2007: Does Space Matter?) en_NZ

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