Creating A Valuation Map In GIS Through Artificial Neural Network Methodology: A Case Study

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dc.contributor.authorYalpir, Sukran
dc.contributor.authorDurduran, S. Savas
dc.contributor.authorUnel, Fatma Bunyan
dc.contributor.authorYolcu, Melisa
dc.date.accessioned2020-03-26T18:49:55Z
dc.date.available2020-03-26T18:49:55Z
dc.date.issued2014
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe present study compared models and market values by creating a model for valuation estimations with artificial neural networks (ANN), which is one of the most advanced methods in immovable valuation and making applications by using Multiple Regression Analysis (MRA). Estimation results obtained from the models with the help of geographical information systems (GIS) were analyzed for spatial analysis. Data sets consisted of the criteria as the values of 300 residential real estates in Bosna Hersek Neighborhood in Konya/Selcuklu Region, the ages that affect those values, the number of stories, the frontage of the apartments, the number of rooms, and the distance to social infrastructures. GIS based value maps, which were integrated to ArcGIS10.0 software, were produced in order to create an algorithm via ANN, which is one Pile modern immovable valuation methods, and MRA, which is used to determine the immovable valuations according to those results. Spatial information about parcel and buildings was transferred to the database of ArcGIS 10.0 software and then was associated with oral data. Value maps were obtained through integrating the values of immovable properties in market conditions and estimation values of ANN and MRA to the map of the studied area. The performances were calculated and the produced value maps were compared in order to ensure the success of the models.en_US
dc.description.sponsorshipCoordinatorship of Selcuk University's Scientific Research ProjectsSelcuk Universityen_US
dc.description.sponsorshipThis work is supported by the Coordinatorship of Selcuk University's Scientific Research Projects.en_US
dc.identifier.endpage89en_US
dc.identifier.issn1335-1788en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage79en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/30711
dc.identifier.volume19en_US
dc.identifier.wosWOS:000349494200004en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherBERG FAC TECHNICAL UNIV KOSICEen_US
dc.relation.ispartofACTA MONTANISTICA SLOVACAen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectartificial neural networks ANNen_US
dc.subjectMultiple Regression Analysis MRAen_US
dc.subjectgeographical information system GISen_US
dc.subjectimmovable valuationen_US
dc.titleCreating A Valuation Map In GIS Through Artificial Neural Network Methodology: A Case Studyen_US
dc.typeArticleen_US

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