Investigation of the effects of socio-economic indicators on the urban area by spatial and nonspatial techniques

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dc.contributor.authorYücer, E.
dc.contributor.authorErener, A.
dc.date.accessioned2024-09-29T16:21:13Z
dc.date.available2024-09-29T16:21:13Z
dc.date.issued2020
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe aim of this study is to determine the spatial spread of all the cities with the use of remote sensing technologies in Turkey and to examine the relationship between this spatial extension and socio-economic indicators with the use of Geographic Information Systems (GIS). In the study, the nighttime images taken in 2010 and the socio-economic indicator data of the provinces were used. For determination of urban areas of provinces, the Otsu method, which is a threshold determination method, was used on grey level images. When the spread of the urban areas in the country was examined, it was seen that the urban area sizes are higher in the provinces in the central and western regions. According to the multiple linear regression (MLR) and geographical weighted regression (GWR) analysis conducted between the urban areas and socio-economic indicators, the highest positive effect on the urban area was found to be the literacy rate, which is an indicator of education level. In this study, the results of MLR and GWR were compared. In the GWR analysis, the provincial values ??were obtained, and the rate of explanation of urban areas was found to be higher differently from the MLR analysis. For the verification of regression models, the data of 2011 were used. At the end of the verification, the accuracy of the GWR analysis was higher. © 2020, Saudi Society for Geosciences.en_US
dc.identifier.doi10.1007/s12517-020-5177-3
dc.identifier.issn1866-7511
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85079678815en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1007/s12517-020-5177-3
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9616
dc.identifier.volume13en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofArabian Journal of Geosciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGeographically weighted regressionen_US
dc.subjectMultiple linear regressionen_US
dc.subjectNighttime imageen_US
dc.subjectUrban areaen_US
dc.titleInvestigation of the effects of socio-economic indicators on the urban area by spatial and nonspatial techniquesen_US
dc.typeArticleen_US

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