diplomska naloga
Urh Klemen (Author), Maruška Šubic Kovač (Mentor), Dušan Kogoj (Thesis defence commission member), Albin Rakar (Thesis defence commission member)

Abstract

Oblikovanje vrednostnih con nepremičnin na podlagi evidence trga nepremičnin

Keywords

geodezija;diplomska dela;UNI;Savinjska statistična regija;evidenca trga nepremičnin;cenovna območja;vrednostne cone;t-test;razvrščanje v skupine;metoda voditeljev;

Data

Language: Slovenian
Year of publishing:
Source: Ljubljana
Typology: 2.11 - Undergraduate Thesis
Organization: UL FGG - Faculty of Civil and Geodetic Engineering
Publisher: [U. Klemen]
UDC: 332.6/7(043.2)
COBISS: 5224033 Link will open in a new window
Views: 1769
Downloads: 524
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Other data

Secondary language: English
Secondary title: Creating real estate value-zones, based on real estate market records
Secondary abstract: The thesis presents the main characteristics of the real estate market in the savinja statistical region, the characteristics of price areas, and value-zones as set by the Surveying and Mapping Authority of the Republic of Slovenia. It calculates – on the basis of the data and the prices of real estate purchased in the savinja statistical region in the year 2008 – a basic statistical analysis, an analysis of the arithmetic means of cadastral municipalities, of local communities, of price areas, and a distribution of mean prices of the real estate purchased in groups by the method of K-means cluster analysis of the cadastral municipalities and local communities. The results are then compared with price areas and value-zones. The conclusions are that the price areas, as determined by the Surveying and Mapping Authority of the Republic of Slovenia, are too wide, whereas value-zones determined for the purpose of real-estate taxation, sufficiently take into account the differences of real estate values regarding their location.
Secondary keywords: graduation thesis;Savinja statistical region;record real estate market;price areas;value-zone;t-test;cluster analysis;k-means cluster analysis;
File type: application/pdf
Type (COBISS): Undergraduate thesis
Thesis comment: Univ. v Ljubljani, Fak. za gradbeništvo in geodezijo
Pages: XVI, 99 str., [13] pril.
Type (ePrints): thesis
Title (ePrints): Creating real estate value-zones, based on real estate market records
Keywords (ePrints): savinjska statistična regija;Evidenca trga nepremičnin;cenovna območja;vrednostne cone;t-test;razvrščanje v skupine;metoda voditeljev
Keywords (ePrints, secondary language): savinja statistical region;record real estate market;price areas;value- zone;t-test;cluster analysis;k-means cluster analysis
Abstract (ePrints): V diplomski nalogi so predstavljene glavne značilnosti stanovanjskega trga v savinjski statistični regiji, značilnosti cenovnih območij in vrednostnih con, ki jih je določila Geodetska uprava Republike Slovenije. Na osnovi podatkov, cen prodanih stanovanj v letu 2008 na območju savinjske statistične regije, je izdelana osnovna statistična analiza in analiza aritmetičnih sredin po katastrskih občinah, lokalnih skupnostih, cenovnih območjih ter razvrščanje povprečnih cen prodanih stanovanj v skupine z metodo voditeljev po katastrskih občinah in lokalnih skupnostih. Dobljeni rezultati so nato primerjani s cenovnimi območji in vrednostnimi conami. Ugotovitve naloge so, da so cenovna območja, ki so določena v Evidenci trga nepremičnin Geodetske uprave Republike Slovenije preobširno določena, vrednostne cone za namene obdavčenja nepremičnin v Sloveniji pa so oblikovane dovolj podrobno, da zadostno upoštevajo razlike v cenah stanovanj glede na njihovo lokacijo.
Abstract (ePrints, secondary language): The thesis presents the main characteristics of the real estate market in the savinja statistical region, the characteristics of price areas, and value-zones as set by the Surveying and Mapping Authority of the Republic of Slovenia. It calculates – on the basis of the data and the prices of real estate purchased in the savinja statistical region in the year 2008 – a basic statistical analysis, an analysis of the arithmetic means of cadastral municipalities, of local communities, of price areas, and a distribution of mean prices of the real estate purchased in groups by the method of K-means cluster analysis of the cadastral municipalities and local communities. The results are then compared with price areas and value-zones. The conclusions are that the price areas, as determined by the Surveying and Mapping Authority of the Republic of Slovenia, are too wide, whereas value-zones determined for the purpose of real-estate taxation, sufficiently take into account the differences of real estate values regarding their location.
Keywords (ePrints, secondary language): savinja statistical region;record real estate market;price areas;value- zone;t-test;cluster analysis;k-means cluster analysis
ID: 8309807