Local models for the analysis of spatially varying relationships in a lignite deposit

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dc.authoridKaymak, Uzay/0000-0002-4500-9098
dc.authoridTERCAN, A.ERHAN/0000-0002-0393-4656
dc.authoridTutmez, Bulent/0000-0002-2618-3285
dc.authoridLloyd, Christopher/0000-0003-0575-7793
dc.authorwosidTutmez, Bulent/ABG-8630-2020
dc.authorwosidKaymak, Uzay/A-3364-2008
dc.authorwosidTERCAN, A.ERHAN/G-5921-2013
dc.contributor.authorTutmez, Bulent
dc.contributor.authorTercan, A. Erhan
dc.contributor.authorKaymak, Uzay
dc.contributor.authorLloyd, Christopher D.
dc.date.accessioned2024-08-04T20:35:37Z
dc.date.available2024-08-04T20:35:37Z
dc.date.issued2009
dc.departmentİnönü Üniversitesien_US
dc.descriptionJoint World Congress of International-Fuzzy-Systems-Association (IFSA)/European Conference of European-Society-for-Fuzzy-Logic-and-Technology (EUSFLAT) -- JUL 20-24, 2009 -- Lisbon, PORTUGALen_US
dc.description.abstractRelationships between geographically referenced variables are usually spatially heterogeneous and, to account for such variations, local models are necessary. This paper compares the Geographically Weighted Regression (GWR) model, usually used to integrate and examine the spatial heterogeneity of a relationship, and the Fuzzy Clustering-Based Least Squares (FCBLS) model for the analysis of spatially varying relationships. Both models use the same model parameters and bandwidth values derived from the Akaike Information Criterion. The results show that FCBLS outperforms the GWR model.en_US
dc.description.sponsorshipInt Fuzzy Syst Assoc (IFSA),European Soc Fuzzy Log & Technol (EUSFLAT)en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK). [108M393]en_US
dc.description.sponsorshipThis paper is part of the project (108M393) which is granted by Scientific and Technological Research Council of Turkey (TUBITAK).en_US
dc.identifier.endpage356en_US
dc.identifier.isbn978-989-95079-6-8
dc.identifier.scopus2-s2.0-81155128783en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage351en_US
dc.identifier.urihttps://hdl.handle.net/11616/95488
dc.identifier.wosWOS:000279170600062en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherEuropean Soc Fuzzy Logic & Technologyen_US
dc.relation.ispartofProceedings of The Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conferenceen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGWRen_US
dc.subjectlocal modelen_US
dc.subjectweighted regressionen_US
dc.subjectfuzzy clusteringen_US
dc.subjectligniteen_US
dc.titleLocal models for the analysis of spatially varying relationships in a lignite depositen_US
dc.typeConference Objecten_US

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