Prikaz osnovnih podataka o dokumentu

dc.creatorBajat, Branislav
dc.creatorKrunić, Nikola
dc.creatorKilibarda, Milan
dc.creatorSamardžić-Petrović, Mileva
dc.date.accessioned2019-04-19T14:17:38Z
dc.date.available2019-04-19T14:17:38Z
dc.date.issued2011
dc.identifier.issn0350-7599
dc.identifier.urihttps://grafar.grf.bg.ac.rs/handle/123456789/407
dc.description.abstractThis paper presents possibilities of applying the geographically weighted regression method in mapping population change index. During the last decade, this contemporary spatial modeling method has been increasingly used in geographical analyses. On the example of the researched region of Timočka Krajina (defined for the needs of elaborating the Regional Spatial Plan), the possibilities for applying this method in disaggregation of traditional models of population density, which are created using the choropleth maps at the level of statistical spatial units, are shown. The applied method is based on the use of ancillary spatial predictors which are in correlation with a targeted variable, the population change index. For this purpose, spatial databases have been used such as digital terrain model, distances from the network of I and II category state roads, as well as soil sealing databases. Spatial model has been developed in the GIS software environment using commercial GIS applications, as well as open source GIS software. Population change indexes for the period 1961-2002 have been mapped based on population census data, while the data on planned population forecast have been used for the period 2002-2027.en
dc.publisherSrpska akademija nauka i umetnosti SANU - Geografski institut 'Jovan Cvijić', Beograd
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/36035/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/47014/RS//
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceZbornik radova Geografskog instituta "Jovan Cvijić", SANU
dc.subjectGeographically weighted regressionen
dc.subjectpopulation change indexen
dc.subjectdasymetric methoden
dc.subjectGISen
dc.subjectopen sourceen
dc.subjectTimočka Krajinaen
dc.titleSpatial modelling of population concentration using geographically weighted regression methoden
dc.typearticle
dc.rights.licenseBY-NC-ND
dc.citation.epage167
dc.citation.issue3
dc.citation.other61(3): 151-167
dc.citation.rankM51
dc.citation.spage151
dc.citation.volume61
dc.identifier.doi10.2298/IJGI1103151B
dc.identifier.fulltexthttps://grafar.grf.bg.ac.rs//bitstream/id/3843/405.pdf
dc.type.versionpublishedVersion


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