diplomska naloga
Anže Pregrad (Author), Samo Drobne (Mentor), Anka Lisec (Thesis defence commission member), Tilen Urbančič (Thesis defence commission member)

Abstract

Modeliranje funkcionalnih regij s pomočjo podatkov gostote prometa

Keywords

geodezija;diplomska dela;TUN;funkcionalne regije;gostota prometa;metoda gostote jedra;metoda inverzne utežene razdalje;

Data

Language: Slovenian
Year of publishing:
Source: Ljubljana
Typology: 2.11 - Undergraduate Thesis
Organization: UL FGG - Faculty of Civil and Geodetic Engineering
Publisher: [A. Pregrad]
UDC: 314.116.3:656.05:711.7(497.4)(043.2)
COBISS: 6403937 Link will open in a new window
Views: 1810
Downloads: 538
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Other data

Secondary language: English
Secondary title: Modelling of functional regions using data on traffic density
Secondary abstract: In this thesis we studied the use of interpolation methods for modelling functional regions using data on traffic density. Traffic density is modelled by annual average daily traffic. It was interpolated using the Kernel density method and the Inverse Distance Weighted method. Delimitation of functional regions in Slovenia was carried out by using the centres of functional regions defined in (Zupanec, 2012) and through modelling processes of cost surfaces and allocations in the geographic information system. We modelled two to twenty functional regions in Slovenia in the years 2005, 2006, 2009 and 2010. The results of our approach were compared with previously modelled functional regions using the Intramax method (Zupanec, 2012). The results of the comparison showed that functional regions modelled by the Kernel density method are more consistent with the regions modelled by the Intramax method as regions modelled by Inverse Distance Weighted method. In this case, the smallest deviations between functional regions were in the case of delimitation of Slovenia into three and seven functional regions.
Secondary keywords: graduation thesis;geodesy;TUN;functional regions;traffic density;Kernel Density method;Inverse Distance Weighted method;
File type: application/pdf
Type (COBISS): Bachelor thesis/paper
Thesis comment: Univ. v Ljubljani, Fak. za gradbeništvo in geodezijo
Pages: XI, 44 str.
Type (ePrints): thesis
Title (ePrints): Modelling of functional regions using data on traffic density
Keywords (ePrints): funkcionalne regije;gostota prometa;metoda gostote jedra;metoda inverzne utežene razdalje
Keywords (ePrints, secondary language): functional regions;traffic density;Kernel Density method;Inverse Distance Weighted method
Abstract (ePrints): V diplomski nalogi smo proučili uporabo metod interpolacije gostote prometa za modeliranje funkcionalnih regij. Gostoto prometa smo modelirali s pomočjo podatkov povprečnega letnega dnevnega prometa po metodah gostote jedra in interpolacije z inverzno uteženo razdaljo. Členitev Slovenije na funkcionalne regije smo izvedli s pomočjo središč funkcionalnih regij opredeljenih v (Zupanec, 2012) ter s pomočjo postopkov modeliranja stroškovnih ploskev in alokacije v geografskem informacijskem sistemu. Slovenijo smo členili na dve do dvajset funkcionalnih regij v letih 2005, 2006, 2009 in 2010. Rezultate modeliranja funkcionalnih regij smo primerjali s predhodno modeliranimi regijami po metodi Intramax (Zupanec, 2012). Rezultati primerjave so pokazali, da se funkcionalne regije modelirane po metodi gostote jedra bolj skladajo z regijami modeliranimi po metodi Intramax kot regije modelirane po metodi inverzne utežene razdalje. V tem primeru so bila najmanjša odstopanja med funkcionalnimi regijami v primeru členitve Slovenije na tri in sedem funkcionalnih regij.
Abstract (ePrints, secondary language): In this thesis we studied the use of interpolation methods for modelling functional regions using data on traffic density. Traffic density is modelled by annual average daily traffic. It was interpolated using the Kernel density method and the Inverse Distance Weighted method. Delimitation of functional regions in Slovenia was carried out by using the centres of functional regions defined in (Zupanec, 2012) and through modelling processes of cost surfaces and allocations in the geographic information system. We modelled two to twenty functional regions in Slovenia in the years 2005, 2006, 2009 and 2010. The results of our approach were compared with previously modelled functional regions using the Intramax method (Zupanec, 2012). The results of the comparison showed that functional regions modelled by the Kernel density method are more consistent with the regions modelled by the Intramax method as regions modelled by Inverse Distance Weighted method. In this case, the smallest deviations between functional regions were in the case of delimitation of Slovenia into three and seven functional regions.
Keywords (ePrints, secondary language): functional regions;traffic density;Kernel Density method;Inverse Distance Weighted method
ID: 8312972